1 00:00:01,120 --> 00:00:06,559 Speaker 1: Here's Brissette gets a block and gets the touchdown, but 2 00:00:06,720 --> 00:00:10,719 Speaker 1: blocked from the tight end. Jack Doyle and Jack called me. 3 00:00:10,880 --> 00:00:15,400 Speaker 1: Brissette has his third rushing touchdown of the season. Here's 4 00:00:15,480 --> 00:00:19,640 Speaker 1: Williams survives a hit, keeps on going to the end 5 00:00:19,720 --> 00:00:23,920 Speaker 1: zone for the touchdown. Red Ardret McKennon couldn't bring him down. 6 00:00:24,440 --> 00:00:30,080 Speaker 1: Watson end zone, Hopkins say hi to mom again. Touchdown 7 00:00:31,160 --> 00:00:37,040 Speaker 1: Hopkins thirty yards to DeAndre Hopkins might be the game right. 8 00:00:37,040 --> 00:00:41,360 Speaker 1: Here are a chance for the Colts. Brissette can he 9 00:00:41,400 --> 00:00:48,400 Speaker 1: pick it up? He cannot play made by Scarlett and 10 00:00:48,600 --> 00:00:53,320 Speaker 1: Brissette mark short of first down yardage in the Texans 11 00:00:53,320 --> 00:00:56,800 Speaker 1: will take over. Those were our good friends, Joe Buck 12 00:00:56,920 --> 00:01:01,120 Speaker 1: and Troy Aikman. I'm Greg Rosenthal with Chris whistling again. 13 00:01:01,200 --> 00:01:04,880 Speaker 1: On Thursday night, the Texans wrapped up a twenty to 14 00:01:05,280 --> 00:01:10,199 Speaker 1: seventeen victory over the Colts, which might just mean we're 15 00:01:10,200 --> 00:01:15,759 Speaker 1: watching Deshaun Watson in that first Saturday ESPN Wild Cards 16 00:01:15,760 --> 00:01:17,360 Speaker 1: slate because I think the a f C South is 17 00:01:17,440 --> 00:01:20,319 Speaker 1: only getting one playoff team and the Texans are in 18 00:01:20,440 --> 00:01:24,200 Speaker 1: first place at seven and four. There was a really 19 00:01:24,240 --> 00:01:27,080 Speaker 1: tight game that could have gone either way and it 20 00:01:27,200 --> 00:01:31,720 Speaker 1: was such a uh I guess showcase for the different styles, 21 00:01:31,800 --> 00:01:36,080 Speaker 1: distinct styles of play that really UM channels their quarterbacks 22 00:01:36,080 --> 00:01:39,600 Speaker 1: with DeShawn Watson going for the big play, hitting those 23 00:01:39,640 --> 00:01:43,400 Speaker 1: long air yards play UM and you see the difference. 24 00:01:43,440 --> 00:01:45,840 Speaker 1: I think Will Fuller and t Y Hilton were the 25 00:01:45,880 --> 00:01:49,880 Speaker 1: two like injured wide receiver X factors. Will Fuller goes 26 00:01:49,920 --> 00:01:52,240 Speaker 1: for seven and a hundred and forty I think, and 27 00:01:52,320 --> 00:01:55,960 Speaker 1: t Y Hilton had those two third down almost catches 28 00:01:56,040 --> 00:01:58,639 Speaker 1: that were big but didn't really wasn't much of a factor. 29 00:01:58,680 --> 00:02:02,800 Speaker 1: Outside of that, Texans receivers dominated the game. Cultur receivers 30 00:02:03,120 --> 00:02:06,280 Speaker 1: really didn't show up. No, that was the difference to 31 00:02:06,320 --> 00:02:09,919 Speaker 1: me was Fuller in Hilton and then the guys throwing 32 00:02:09,919 --> 00:02:13,679 Speaker 1: them the ball. You know, Hilton drops those two plays 33 00:02:13,720 --> 00:02:16,359 Speaker 1: on a night where the Colts moved the ball pretty well, 34 00:02:16,360 --> 00:02:18,919 Speaker 1: but they're gonna move it slowly. There weren't many possessions 35 00:02:18,960 --> 00:02:21,440 Speaker 1: in this game. The first was just a clear drop 36 00:02:21,800 --> 00:02:24,519 Speaker 1: and the second one again in in a second half 37 00:02:24,600 --> 00:02:28,240 Speaker 1: where they only had the ball four different times. He 38 00:02:28,400 --> 00:02:31,160 Speaker 1: ended two drives with two drops. He was not explosive. 39 00:02:31,200 --> 00:02:34,160 Speaker 1: If you're not beating Jonathan Joseph one on one in 40 00:02:34,280 --> 00:02:37,160 Speaker 1: man coverage. That's not the t Y Hilton that we're 41 00:02:37,240 --> 00:02:40,040 Speaker 1: used to seeing, Whereas will Fuller had all the juice. 42 00:02:40,080 --> 00:02:43,720 Speaker 1: And yeah, I'm not saying he's better than DeAndre Hopkins. 43 00:02:43,720 --> 00:02:45,960 Speaker 1: He's not. You know, Nuke win for six, nine, four 44 00:02:45,960 --> 00:02:47,799 Speaker 1: and two. He had a long touch a couple of 45 00:02:47,840 --> 00:02:50,920 Speaker 1: long touchdowns, and a great sideline catch. But will Fuller's 46 00:02:51,000 --> 00:02:53,640 Speaker 1: kind of the X factor. He's the little sizzle. He's 47 00:02:53,680 --> 00:02:56,520 Speaker 1: the little ingredient. You know, when you're back on the 48 00:02:56,560 --> 00:02:59,240 Speaker 1: big green egg, you know you gotta have your piece 49 00:02:59,280 --> 00:03:02,120 Speaker 1: of steak. That's that's Watson and Nuke. But Fuller's that 50 00:03:02,200 --> 00:03:05,280 Speaker 1: little ingredient that the only West Ads that puts it 51 00:03:05,320 --> 00:03:08,000 Speaker 1: all together and actually makes it special. We we've talked 52 00:03:08,040 --> 00:03:10,520 Speaker 1: about how much he means to this offense. That Deshawn's 53 00:03:10,639 --> 00:03:13,959 Speaker 1: Watson's numbers are like best in the league when Will 54 00:03:14,000 --> 00:03:17,960 Speaker 1: Fullers in the lineup and just plain average without him. 55 00:03:18,000 --> 00:03:20,040 Speaker 1: And I saw next Gen Stats said that he's more 56 00:03:20,080 --> 00:03:23,160 Speaker 1: than twice as likely to throw a deep ball with 57 00:03:23,160 --> 00:03:25,440 Speaker 1: will Fuller on the field as he is when will 58 00:03:25,480 --> 00:03:28,120 Speaker 1: Fuller sideline. It's all the difference in the world for 59 00:03:28,160 --> 00:03:31,040 Speaker 1: this offense, well there. They were one of the worst 60 00:03:31,040 --> 00:03:33,480 Speaker 1: teams in the league throwing vertically this year, which is 61 00:03:33,520 --> 00:03:36,680 Speaker 1: crazy because you know, if you watched this game, you 62 00:03:36,800 --> 00:03:39,800 Speaker 1: saw three of the prettiest deep balls that you'll ever see, 63 00:03:39,880 --> 00:03:43,160 Speaker 1: the two to Fuller and then the second touchdown to Hopkins. 64 00:03:43,160 --> 00:03:45,400 Speaker 1: The the only touchdown they got, you know, until that 65 00:03:45,960 --> 00:03:49,280 Speaker 1: uh fourth quarter plate to Hopkins was on a total 66 00:03:49,440 --> 00:03:52,000 Speaker 1: blown coverage. I actually thought the Colts defense, for the 67 00:03:52,000 --> 00:03:54,760 Speaker 1: most part, did a good job. They stuffed to run 68 00:03:55,200 --> 00:03:57,800 Speaker 1: most of the night. Hide and Duke Johnson had one 69 00:03:57,840 --> 00:04:00,560 Speaker 1: good run each. But this looked like, you know, a 70 00:04:00,600 --> 00:04:03,080 Speaker 1: game that was very even. It's just like, how are 71 00:04:03,080 --> 00:04:05,760 Speaker 1: you gonna win? Are you gonna win throwing the ball, 72 00:04:06,080 --> 00:04:08,520 Speaker 1: or are you're gonna win trying to run the ball 73 00:04:08,720 --> 00:04:12,240 Speaker 1: down the other team's throats. The two Colts touchdown drives 74 00:04:12,560 --> 00:04:14,720 Speaker 1: on one of them came off of a Deshaun Watson 75 00:04:14,760 --> 00:04:17,560 Speaker 1: interception seven straight runs. The other one they ran the 76 00:04:17,560 --> 00:04:20,440 Speaker 1: ball ten out of eleven times. And it's just a 77 00:04:20,480 --> 00:04:23,719 Speaker 1: fine line. Jacobe Brisett did not look right. I don't 78 00:04:23,720 --> 00:04:26,320 Speaker 1: know if they changed their game plan based on how 79 00:04:26,360 --> 00:04:29,839 Speaker 1: he's playing or if he is just moving slow, but 80 00:04:29,880 --> 00:04:32,960 Speaker 1: he certainly seemed to be like processing slow and not 81 00:04:33,040 --> 00:04:35,520 Speaker 1: getting rid of the ball. And I saw some comments 82 00:04:35,560 --> 00:04:37,839 Speaker 1: the Colts aren't winning in man coverage. Jacoby has gotta 83 00:04:37,839 --> 00:04:39,760 Speaker 1: go give him, give him a chance, and I thought 84 00:04:39,800 --> 00:04:42,119 Speaker 1: this was one of his worst games. He didn't look healthy. 85 00:04:42,160 --> 00:04:44,120 Speaker 1: I mean, if you're throwing for five yards per attempt 86 00:04:44,160 --> 00:04:47,719 Speaker 1: against this Texans defense who was missing almost their entire 87 00:04:47,760 --> 00:04:51,200 Speaker 1: starting secondary, that that's a problem. Well, the Colts entered 88 00:04:51,240 --> 00:04:55,200 Speaker 1: this game in passing yards per game and fourth in 89 00:04:55,279 --> 00:04:58,000 Speaker 1: rushing yards per game. This is who they are. And 90 00:04:58,040 --> 00:05:00,240 Speaker 1: I think if I try to get in the mind 91 00:05:00,279 --> 00:05:03,359 Speaker 1: of Frank Reich, that game plan was not only is 92 00:05:03,360 --> 00:05:05,280 Speaker 1: this who they are, but I've got a banged up 93 00:05:05,360 --> 00:05:09,080 Speaker 1: quarterback who isn't moving quite as well, and also have 94 00:05:09,200 --> 00:05:12,840 Speaker 1: a very depleted wide receiver corps. I can't count on 95 00:05:12,880 --> 00:05:15,760 Speaker 1: them to win down field. So I'm gonna saddle up 96 00:05:15,839 --> 00:05:20,440 Speaker 1: Jonathan Williams again. And it worked for for those two 97 00:05:20,520 --> 00:05:22,920 Speaker 1: draws you talked about. It really worked when they imposed 98 00:05:22,920 --> 00:05:25,520 Speaker 1: their will for two drives. But the bottom line is 99 00:05:25,560 --> 00:05:28,039 Speaker 1: Frank Breich decided to live and die with the running game, 100 00:05:28,040 --> 00:05:31,000 Speaker 1: and he died with it. I mean, you're you're gonna die. 101 00:05:31,120 --> 00:05:34,279 Speaker 1: But against against the defense where the clear weakness is 102 00:05:34,279 --> 00:05:36,400 Speaker 1: the secondary, one of the worst secondaries in the nf 103 00:05:36,440 --> 00:05:38,600 Speaker 1: I mean, at one point this, uh you know, was 104 00:05:38,680 --> 00:05:43,560 Speaker 1: something that John McClain tweeted that the venerable Texans Houston 105 00:05:43,640 --> 00:05:48,360 Speaker 1: Chronicle reporter after that first touchdown that that Colts running drive. 106 00:05:48,560 --> 00:05:53,159 Speaker 1: The Colts have taken the Texans manhood. The offensive line 107 00:05:53,240 --> 00:05:57,359 Speaker 1: is humiliating the Texans front seven. Time for them to 108 00:05:57,440 --> 00:06:01,960 Speaker 1: call their mommies. I want to see DJ Reader and 109 00:06:02,040 --> 00:06:05,480 Speaker 1: Whitney Merciless and and uh, you know, face John McClain 110 00:06:05,560 --> 00:06:07,520 Speaker 1: tonight in the locker room and say, you know, hey, hey, 111 00:06:07,600 --> 00:06:10,000 Speaker 1: we called our mommies. We got some stops down the stretch. 112 00:06:11,720 --> 00:06:14,400 Speaker 1: I love John McClain because he was so nice to 113 00:06:14,440 --> 00:06:17,159 Speaker 1: me when I did the Love You Blue article the 114 00:06:17,200 --> 00:06:19,919 Speaker 1: long form I did. But I do think he leans 115 00:06:19,960 --> 00:06:22,320 Speaker 1: into it a little bit on these nationally televised game 116 00:06:22,360 --> 00:06:24,880 Speaker 1: And though he's just getting emotional, you think he knows 117 00:06:24,960 --> 00:06:28,280 Speaker 1: everybody's watching his Twitter on these games. Yeah, that might 118 00:06:28,320 --> 00:06:31,800 Speaker 1: be part of it. The Jacoby Brisset injury though, I mean, 119 00:06:31,800 --> 00:06:35,000 Speaker 1: he's wearing that huge brace and on you know, one 120 00:06:35,040 --> 00:06:36,520 Speaker 1: of the key plays of the game, it's a fourth 121 00:06:36,560 --> 00:06:39,640 Speaker 1: and seven. He drops back to pass again, he doesn't 122 00:06:39,640 --> 00:06:42,039 Speaker 1: pull the trigger. Maybe maybe no one's open on that play, 123 00:06:42,120 --> 00:06:44,839 Speaker 1: but he has a lane to go pick up seven 124 00:06:44,920 --> 00:06:48,640 Speaker 1: yards and most starting quarterbacks are gonna pick up those 125 00:06:48,640 --> 00:06:52,920 Speaker 1: seven and he picks up six and he's moving slowly, 126 00:06:52,960 --> 00:06:55,200 Speaker 1: and even if he doesn't have that brace on, it's like, 127 00:06:55,279 --> 00:06:58,279 Speaker 1: I think he's picking up that that first down on 128 00:06:58,400 --> 00:07:00,200 Speaker 1: most nights, And that was that was a differ friends, 129 00:07:00,200 --> 00:07:02,000 Speaker 1: And he's about a yard short and you don't know 130 00:07:02,040 --> 00:07:05,279 Speaker 1: what's gonna happen. Then I totally agree. I think I've 131 00:07:05,320 --> 00:07:07,960 Speaker 1: seen Jacoby Brissette make that play when he's healthy, and 132 00:07:08,600 --> 00:07:10,960 Speaker 1: he could have also been more decisive and taken off 133 00:07:11,040 --> 00:07:13,760 Speaker 1: a couple of seconds earlier and maybe had a better window. 134 00:07:14,760 --> 00:07:17,440 Speaker 1: But you know, I look at this game and I 135 00:07:17,480 --> 00:07:20,640 Speaker 1: see a Texas team that's gonna be riding high because 136 00:07:20,680 --> 00:07:22,800 Speaker 1: they're in first place. That was a huge game. You know, 137 00:07:22,840 --> 00:07:26,080 Speaker 1: they were calling it a playoff game. But the Colts 138 00:07:27,000 --> 00:07:30,000 Speaker 1: you get, don't hang your head too too far, because 139 00:07:30,640 --> 00:07:33,200 Speaker 1: next week you're you might have Devin Funchius in Paris 140 00:07:33,240 --> 00:07:36,520 Speaker 1: Campbell back, t Y Hilton and Jacoby Prisette will presumably 141 00:07:36,600 --> 00:07:39,320 Speaker 1: be a little bit more healthy. Uh, they were playing 142 00:07:39,320 --> 00:07:41,800 Speaker 1: in the secondary without a couple of impact rookies and 143 00:07:41,880 --> 00:07:45,120 Speaker 1: Rocky Scene and Cary Willis. Maybe those guys come back. 144 00:07:45,320 --> 00:07:48,720 Speaker 1: They were They were a depleted team on the field tonight, 145 00:07:48,720 --> 00:07:51,000 Speaker 1: and I think that was reflected in the result a 146 00:07:51,080 --> 00:07:54,040 Speaker 1: close game where if they're healthy, it might have gone differently. 147 00:07:54,200 --> 00:07:56,680 Speaker 1: Your your heart, your football heart is a very strange thing. 148 00:07:56,720 --> 00:07:59,640 Speaker 1: You know. You were not into the Colts early in 149 00:07:59,640 --> 00:08:02,960 Speaker 1: the seas, and I wouldn't say they've exactly lit the 150 00:08:03,000 --> 00:08:05,600 Speaker 1: world on fire over the last month. In fact, they've 151 00:08:05,600 --> 00:08:08,440 Speaker 1: lost three games out of four now, and yet watching 152 00:08:08,480 --> 00:08:11,520 Speaker 1: this game with you at your house, I was pleasantly 153 00:08:11,560 --> 00:08:13,600 Speaker 1: surprised to see that that you're a fan of the 154 00:08:13,600 --> 00:08:17,280 Speaker 1: Colts suddenly once again. Well, their defense got me back 155 00:08:17,320 --> 00:08:20,960 Speaker 1: in there. They're so young, they were playing four rookies 156 00:08:20,960 --> 00:08:24,920 Speaker 1: regularly before those injuries, and they're fast to the ball. Uh, 157 00:08:24,960 --> 00:08:27,080 Speaker 1: their pass rush did not show up tonight. That was 158 00:08:27,120 --> 00:08:30,320 Speaker 1: a big factor. But I like watching their defense, and 159 00:08:30,360 --> 00:08:33,520 Speaker 1: I went into the game kind of subconsciously rooting for them. 160 00:08:33,559 --> 00:08:35,000 Speaker 1: But by the end of the game, it was such 161 00:08:35,040 --> 00:08:37,640 Speaker 1: a close game that it didn't bother me to see 162 00:08:37,640 --> 00:08:39,800 Speaker 1: either team. Here's here's my take away, though I'm not 163 00:08:39,880 --> 00:08:45,040 Speaker 1: sure how dangerous the Texans are. I know Deshaun Watson 164 00:08:45,280 --> 00:08:47,760 Speaker 1: is great, and tonight you saw a lot of what 165 00:08:47,880 --> 00:08:51,200 Speaker 1: made him great with the deep ball and the throws 166 00:08:51,200 --> 00:08:53,600 Speaker 1: on third down. But you also saw, you know, one 167 00:08:53,679 --> 00:08:56,360 Speaker 1: interception that set up the Colts touchdown. You saw two 168 00:08:56,520 --> 00:08:59,760 Speaker 1: interceptions that were dropped by the Colts, including what could 169 00:08:59,760 --> 00:09:01,680 Speaker 1: have been a killer one in the fourth quarter, and 170 00:09:01,720 --> 00:09:04,679 Speaker 1: he saw him fumble the ball in a situation at 171 00:09:04,720 --> 00:09:06,720 Speaker 1: the end of the game we should talk about where 172 00:09:07,960 --> 00:09:10,080 Speaker 1: the only thing that Texans had to do was not fumble. 173 00:09:10,160 --> 00:09:14,920 Speaker 1: There in any fumble the ball, and the officials determined 174 00:09:15,280 --> 00:09:18,520 Speaker 1: that he recovered the ball, and Twitter and everyone else 175 00:09:18,600 --> 00:09:21,840 Speaker 1: was fired up that how could they not review that play? 176 00:09:21,880 --> 00:09:25,319 Speaker 1: And it does look strange. I get it. We rewound, 177 00:09:25,559 --> 00:09:29,360 Speaker 1: you know, the TV copy, and the official that's standing 178 00:09:29,520 --> 00:09:32,760 Speaker 1: right on top of Deshaun Watson and had a better 179 00:09:32,800 --> 00:09:36,000 Speaker 1: view than anywhere says it's Watson's ball, So he seemed 180 00:09:36,040 --> 00:09:39,359 Speaker 1: to indicate that there was a fumble, and he indicated 181 00:09:39,360 --> 00:09:43,720 Speaker 1: that Watson recovered the ball. And people are gonna kill 182 00:09:43,800 --> 00:09:45,800 Speaker 1: them for not reviewing that. But I don't know, there's like, 183 00:09:45,880 --> 00:09:49,080 Speaker 1: you can't overturn that. There are rules, and the rule 184 00:09:49,240 --> 00:09:52,160 Speaker 1: is like, you can't overturn that unless there's gonna be 185 00:09:52,200 --> 00:09:53,880 Speaker 1: some sort of clear recovery. And you're not gonna get 186 00:09:53,880 --> 00:09:57,559 Speaker 1: a clearer view than that. I know, you know, I'm 187 00:09:57,559 --> 00:10:00,080 Speaker 1: gonna get called the company man here. This was and 188 00:10:00,240 --> 00:10:02,600 Speaker 1: I don't think there was some controversy there. That's just 189 00:10:03,600 --> 00:10:05,520 Speaker 1: it was what it was. There was. We never saw 190 00:10:05,559 --> 00:10:07,880 Speaker 1: another view that showed that the Colts recovered. And if 191 00:10:07,880 --> 00:10:10,080 Speaker 1: the guy standing on top of him says Watson's got 192 00:10:10,080 --> 00:10:11,800 Speaker 1: the ball, what are you gonna do? You can't overturn that. 193 00:10:12,000 --> 00:10:16,079 Speaker 1: I think they keep this purposely vague about when river 194 00:10:16,240 --> 00:10:20,480 Speaker 1: Ron can just buzz him from New York and tell officials, hey, 195 00:10:20,559 --> 00:10:23,920 Speaker 1: here's what happened. And my guess is in that situation 196 00:10:24,120 --> 00:10:27,120 Speaker 1: said recovered that late in the game. River Ron buzzes 197 00:10:27,160 --> 00:10:30,120 Speaker 1: in and says, hey, we got nothing here. There's nothing 198 00:10:30,160 --> 00:10:34,400 Speaker 1: on on the replays that will overturn this. The Colts 199 00:10:34,440 --> 00:10:39,200 Speaker 1: have the Titans bucks at at New Orleans home for 200 00:10:39,280 --> 00:10:42,320 Speaker 1: Carolina at Jacksonville. That's a pretty good schedule, you know, 201 00:10:42,360 --> 00:10:45,480 Speaker 1: the only game where they play a team with a 202 00:10:45,520 --> 00:10:48,880 Speaker 1: winning record. The rest of the way is at New Orleans. 203 00:10:49,320 --> 00:10:51,679 Speaker 1: The Texans, on the other hand, don't play, by the way. 204 00:10:51,720 --> 00:10:53,959 Speaker 1: Neither of these teams play until December one. You want 205 00:10:53,960 --> 00:10:56,920 Speaker 1: a little hey, this season is moving along again. Their 206 00:10:57,280 --> 00:11:00,280 Speaker 1: next game is December one, and it's a home game 207 00:11:00,600 --> 00:11:02,880 Speaker 1: on Sunday night against the Patriots. Then they have the 208 00:11:02,920 --> 00:11:06,600 Speaker 1: Broncos at Titans at Bucks, and back home to the Titans. 209 00:11:06,600 --> 00:11:08,240 Speaker 1: So they get the Titans two out of three times 210 00:11:08,400 --> 00:11:10,200 Speaker 1: down the stretch. If I'm the Colts and I'm looking 211 00:11:10,240 --> 00:11:13,520 Speaker 1: at that schedule, I don't feel too bad. You know, 212 00:11:13,559 --> 00:11:16,400 Speaker 1: the Patriots, they both have one really tough game, and 213 00:11:16,400 --> 00:11:18,320 Speaker 1: then they both have a bunch of toss up games. 214 00:11:18,320 --> 00:11:21,000 Speaker 1: The Texans don't look unbeatable to me, But the Texans 215 00:11:21,080 --> 00:11:24,760 Speaker 1: to me, are just a more dangerous team. But as 216 00:11:24,920 --> 00:11:27,920 Speaker 1: as a home as a Patriots homer, I gotta say 217 00:11:28,480 --> 00:11:31,440 Speaker 1: I expected to be really afraid of this Texans team. 218 00:11:31,480 --> 00:11:34,440 Speaker 1: And maybe they will get better offensively over the next 219 00:11:34,480 --> 00:11:37,120 Speaker 1: few weeks. They certainly passed protect pretty well. They're they're 220 00:11:37,120 --> 00:11:40,520 Speaker 1: pretty complete offensively, but the defense to me, lacks so 221 00:11:40,600 --> 00:11:42,840 Speaker 1: much juice. I don't know if they're really gonna be 222 00:11:42,920 --> 00:11:45,280 Speaker 1: a that dangerous of and out even if they win 223 00:11:45,320 --> 00:11:47,640 Speaker 1: the division. Yeah. I agree that Texans have a higher 224 00:11:47,679 --> 00:11:50,800 Speaker 1: ceiling because of their quarterback and their stars on offense, 225 00:11:51,520 --> 00:11:54,000 Speaker 1: but they also have a fatal flaw in that secondary, 226 00:11:54,080 --> 00:11:56,360 Speaker 1: and the Colts don't really have a fatal flaw. Their 227 00:11:56,400 --> 00:12:00,360 Speaker 1: ceiling just isn't that hot. Some some cold fans I 228 00:12:00,440 --> 00:12:02,920 Speaker 1: follow in the timeline that are not fans of Jacoby 229 00:12:02,960 --> 00:12:06,400 Speaker 1: Bersett with I would disagree with you saying they're limited 230 00:12:06,480 --> 00:12:08,640 Speaker 1: by the QB. I think he can play better in tonight. 231 00:12:08,760 --> 00:12:11,320 Speaker 1: I don't think he's a complete liability like the Texan 232 00:12:11,400 --> 00:12:14,360 Speaker 1: secondary is. Well, you know who else is, uh, you know, 233 00:12:14,400 --> 00:12:20,040 Speaker 1: not a complete liability. Dan Hansas, Mark Sessler, Cynthia Freeland, 234 00:12:20,240 --> 00:12:23,840 Speaker 1: they're all our friends and uh we got together a 235 00:12:23,880 --> 00:12:28,000 Speaker 1: little earlier today West and um, we wanted to get 236 00:12:28,040 --> 00:12:31,200 Speaker 1: inside the mind. I learned a lot from this interview. 237 00:12:31,480 --> 00:12:34,080 Speaker 1: I learned a lot. And Cynthia, I've been kind of 238 00:12:34,120 --> 00:12:38,040 Speaker 1: intimidated by what she's going on with with her with 239 00:12:38,080 --> 00:12:41,280 Speaker 1: her models there. Well, she's she's an intimidating figure, but 240 00:12:41,320 --> 00:12:43,640 Speaker 1: apparently she was intimidated by us. She thought she thought 241 00:12:43,640 --> 00:12:45,880 Speaker 1: we didn't like her. We get we get into that, 242 00:12:45,960 --> 00:12:47,720 Speaker 1: we get into the personal thing and I and like 243 00:12:47,920 --> 00:12:49,800 Speaker 1: I said on our preview show, if you haven't listened 244 00:12:49,800 --> 00:12:51,720 Speaker 1: to this, I think this is setting up, you know, 245 00:12:51,800 --> 00:12:54,720 Speaker 1: a character that we're going to have on in the 246 00:12:54,760 --> 00:12:57,880 Speaker 1: future because I think that sort of analytical mindset UH 247 00:12:58,400 --> 00:13:01,199 Speaker 1: is an interesting vantage point to get on the show. 248 00:13:01,240 --> 00:13:02,880 Speaker 1: And I'm sure we'll have her down the line. But 249 00:13:02,920 --> 00:13:06,200 Speaker 1: I'm excited UH to throw it over to Dan and 250 00:13:06,400 --> 00:13:09,880 Speaker 1: in us UH to hear from Cynthia. So here you go, 251 00:13:10,600 --> 00:13:14,480 Speaker 1: all right, as promised a special guest in the studio. 252 00:13:15,160 --> 00:13:17,559 Speaker 1: She's become a friend of the podcast. She doesn't think 253 00:13:17,559 --> 00:13:19,560 Speaker 1: so she leaves herself to be a foe to some 254 00:13:19,640 --> 00:13:23,920 Speaker 1: of us. It's Cynthia Freelan. Welcome to the Around the 255 00:13:24,000 --> 00:13:27,040 Speaker 1: NFL podcast for the first time. You know, it only 256 00:13:27,080 --> 00:13:29,840 Speaker 1: took what this is my fourth season here. I think 257 00:13:29,880 --> 00:13:32,320 Speaker 1: you guys hated me or I mean, now you're two 258 00:13:32,320 --> 00:13:33,640 Speaker 1: of you are forced to work with me on a 259 00:13:33,679 --> 00:13:37,079 Speaker 1: regular basis, so it's really broken the ice. But I 260 00:13:37,120 --> 00:13:39,040 Speaker 1: thought you hated me. Let's dig into this a little 261 00:13:39,040 --> 00:13:41,320 Speaker 1: bit because yes, the same way to start out there. Yeah, 262 00:13:41,440 --> 00:13:44,160 Speaker 1: I love this because Cynthia, I work on the Power 263 00:13:44,240 --> 00:13:47,439 Speaker 1: Ranking show on Wednesday's, which you catch on YouTube or 264 00:13:47,559 --> 00:13:51,840 Speaker 1: NFL dot Com at New and Eastern. Also, Cindy works 265 00:13:51,880 --> 00:13:59,360 Speaker 1: with Greg Rosenthal on Game Debut, which is also a 266 00:13:59,400 --> 00:14:03,200 Speaker 1: digital and that shows up on NFL Network over the weekend. So, yeah, 267 00:14:03,240 --> 00:14:06,360 Speaker 1: we've gotten to know you better. But Greg, before we 268 00:14:06,400 --> 00:14:09,920 Speaker 1: throw it to the Kissing Cousins, did you ever have 269 00:14:09,920 --> 00:14:13,800 Speaker 1: any negative feelings towards towards No, that's present. I think 270 00:14:13,840 --> 00:14:16,600 Speaker 1: you saying that you thought we hated you says more 271 00:14:16,640 --> 00:14:20,120 Speaker 1: about you than it really really does about us. You 272 00:14:20,120 --> 00:14:22,120 Speaker 1: know what, we run into issues I think because we 273 00:14:22,120 --> 00:14:24,720 Speaker 1: don't really have many guests on the show in general. 274 00:14:24,920 --> 00:14:27,160 Speaker 1: There are people that we've worked with a lot longer 275 00:14:27,200 --> 00:14:29,120 Speaker 1: if I had, if I had to go through it, 276 00:14:29,160 --> 00:14:33,080 Speaker 1: that we probably you know, have alienated. Well, No, I 277 00:14:33,080 --> 00:14:35,240 Speaker 1: know you have something personal with Mark that's weird, But 278 00:14:35,400 --> 00:14:37,080 Speaker 1: like the rest of us, I thought I would trust 279 00:14:37,120 --> 00:14:40,720 Speaker 1: your instinct instincts on what is So where did the 280 00:14:41,240 --> 00:14:45,120 Speaker 1: yeah with West and Mark specifically, where did things go Wrong's? 281 00:14:45,360 --> 00:14:46,960 Speaker 1: I don't know where it went wrong. I just like 282 00:14:47,160 --> 00:14:48,720 Speaker 1: we don't spend a lot of time, you know, It's 283 00:14:48,800 --> 00:14:50,680 Speaker 1: it's just it's one of those to where it's like, well, 284 00:14:50,760 --> 00:14:52,200 Speaker 1: I just don't think they like me very much. Well, 285 00:14:52,240 --> 00:14:55,280 Speaker 1: you seem very busy from the to an outsider's for you, 286 00:14:55,440 --> 00:14:57,920 Speaker 1: So it's like, you know, it's it's more about it's 287 00:14:57,920 --> 00:15:02,320 Speaker 1: a Cynthia thing. Different NFL Network shows. I need number 288 00:15:02,360 --> 00:15:04,920 Speaker 1: fourteen or else it's not going to be complete. We 289 00:15:05,040 --> 00:15:09,040 Speaker 1: have Cynthia Freeland quotes hanging in my house. Well I 290 00:15:09,040 --> 00:15:15,440 Speaker 1: didn't think you hated me. Let's thank you Cynthia all 291 00:15:15,640 --> 00:15:19,160 Speaker 1: all but I pinched hit on the game debut set 292 00:15:19,520 --> 00:15:22,600 Speaker 1: last week, and Cynthia all but beat Greg and I 293 00:15:22,960 --> 00:15:26,440 Speaker 1: officially because Cynthia is a woman that gets what she wants. 294 00:15:26,520 --> 00:15:29,640 Speaker 1: She's been doing it her whole career. She and that's 295 00:15:29,640 --> 00:15:34,360 Speaker 1: why she's Uh, you know, your background is analytics, um, 296 00:15:34,400 --> 00:15:36,760 Speaker 1: and you become the go to person in this building, 297 00:15:37,120 --> 00:15:39,720 Speaker 1: in that realm, and you're you're famous, I would say, 298 00:15:40,000 --> 00:15:42,440 Speaker 1: but when there's only one of you, you're inherently the best, 299 00:15:42,480 --> 00:15:45,040 Speaker 1: the worst, and the most average. Now I mentioned this 300 00:15:45,120 --> 00:15:48,160 Speaker 1: is my like rendering of your fame. As I mentioned, 301 00:15:48,160 --> 00:15:50,960 Speaker 1: I was doing the show you Know with you and 302 00:15:50,960 --> 00:15:53,120 Speaker 1: and Andrew Hawkins, and my dad immediately was like, oh, 303 00:15:53,160 --> 00:15:55,600 Speaker 1: I know, Cynthia freelan and I was like, he doesn't 304 00:15:55,640 --> 00:16:00,360 Speaker 1: watch any NFL network on the Sunday morning Game Day show. 305 00:15:59,840 --> 00:16:02,760 Speaker 1: And now I'm not saying I want this, but one 306 00:16:02,760 --> 00:16:06,160 Speaker 1: of my favorite things were going back. I go way 307 00:16:06,160 --> 00:16:07,880 Speaker 1: back with Ian rap report, and I know I know 308 00:16:08,160 --> 00:16:12,000 Speaker 1: his personality. Anytime we hire a reporter that's good. He 309 00:16:12,040 --> 00:16:15,320 Speaker 1: gets very worked up. He gets nervous, he gets agitated, 310 00:16:15,360 --> 00:16:19,720 Speaker 1: he's worried that they're going to get his insider corner. Uh. 311 00:16:19,760 --> 00:16:23,480 Speaker 1: And sometimes his concerns are more, you know, worth merit 312 00:16:23,520 --> 00:16:26,840 Speaker 1: than others. Uh. Do you have any concerns that someone 313 00:16:26,920 --> 00:16:29,680 Speaker 1: else can come in from the outside a budd buzz 314 00:16:29,800 --> 00:16:33,760 Speaker 1: light Year to your woody. I look, I'm like fully 315 00:16:33,760 --> 00:16:37,480 Speaker 1: expecting it because that's just what happens, right, So I 316 00:16:37,520 --> 00:16:40,360 Speaker 1: think it'd be really nice. Actually, if somebody else wanted 317 00:16:40,400 --> 00:16:43,680 Speaker 1: to like do a lot of math and coming, then 318 00:16:43,760 --> 00:16:45,760 Speaker 1: I'll you know, I'm like I already had. I was 319 00:16:45,800 --> 00:16:49,000 Speaker 1: an investment bankery, did some other stuff, right, so I'll 320 00:16:49,040 --> 00:16:50,600 Speaker 1: just go find something. I don't know. I guess it's 321 00:16:50,640 --> 00:16:52,960 Speaker 1: like it's good. It's a compliment, right, It's a good 322 00:16:52,960 --> 00:16:54,760 Speaker 1: thing to have. I'm not gonna get worked up. I 323 00:16:55,480 --> 00:16:57,160 Speaker 1: actually want more people to come do what I do. 324 00:16:57,680 --> 00:16:59,760 Speaker 1: You do a lot of things. You're a renaissance woman. 325 00:16:59,840 --> 00:17:02,440 Speaker 1: I will say this too. What I just looked over 326 00:17:02,480 --> 00:17:05,879 Speaker 1: your press release when you're hired by never embarrassing anybody 327 00:17:05,880 --> 00:17:08,479 Speaker 1: else got a press release when actually I mean I 328 00:17:08,520 --> 00:17:10,960 Speaker 1: was hired a three day a week ten percentially, So 329 00:17:11,000 --> 00:17:13,480 Speaker 1: I don't I don't think that document will be clear. 330 00:17:13,600 --> 00:17:15,480 Speaker 1: Let's be clear. I don't you know your big time 331 00:17:15,520 --> 00:17:17,680 Speaker 1: if they tell you when things are renewed, that ain't 332 00:17:17,680 --> 00:17:19,399 Speaker 1: nobody tell you when I'm renewed. That's when you know 333 00:17:19,480 --> 00:17:21,800 Speaker 1: you're really That's what Colleen will, by the way, which 334 00:17:21,880 --> 00:17:23,320 Speaker 1: is great. I have not said that on the show. 335 00:17:23,359 --> 00:17:28,879 Speaker 1: Congratulations to college extension. I'm sure in the millions, and 336 00:17:29,000 --> 00:17:33,000 Speaker 1: she deserves every sentence. So she is a star and 337 00:17:33,080 --> 00:17:35,760 Speaker 1: we love you Colleen. Anyway, So when you were hired, 338 00:17:35,880 --> 00:17:37,840 Speaker 1: it says here that you had completed this is four 339 00:17:37,920 --> 00:17:41,640 Speaker 1: years ago, twenty marathons in twenty different states, almost halfway 340 00:17:41,680 --> 00:17:44,160 Speaker 1: to her goal of completing a marathon in each state. 341 00:17:44,200 --> 00:17:46,320 Speaker 1: Where are we at and based on your number, I'll 342 00:17:46,359 --> 00:17:48,439 Speaker 1: let you know if you're doing well or poorly in 343 00:17:48,440 --> 00:17:54,120 Speaker 1: the last four years. Yeah, now falling behind base, I 344 00:17:52,600 --> 00:17:58,480 Speaker 1: know is it. I don't even know if we're on 345 00:17:58,520 --> 00:18:01,160 Speaker 1: the opposite sides of the spectrum. Just you know, as 346 00:18:01,160 --> 00:18:03,480 Speaker 1: good as yours at math, I am as bad on 347 00:18:03,520 --> 00:18:06,200 Speaker 1: the opposite direction. So the best part about math is 348 00:18:06,240 --> 00:18:08,120 Speaker 1: you could like say it and for the most part 349 00:18:08,160 --> 00:18:10,560 Speaker 1: almost no one will know, so you could just you know, 350 00:18:10,640 --> 00:18:13,480 Speaker 1: like you can just say it like who cares, right, 351 00:18:13,520 --> 00:18:16,000 Speaker 1: like good advice. You know I won't. I'm not going 352 00:18:16,040 --> 00:18:18,200 Speaker 1: to call you about we've become friends now. Maybe before 353 00:18:18,240 --> 00:18:19,560 Speaker 1: having me on the pot, I would have called you 354 00:18:19,560 --> 00:18:22,840 Speaker 1: out right Now, your math's perfect for me, so that Yeah, 355 00:18:22,880 --> 00:18:25,359 Speaker 1: so you're twenty three months that's good. You're also what 356 00:18:25,400 --> 00:18:28,240 Speaker 1: I've learned, Um, you know everybody. You're one of those 357 00:18:28,240 --> 00:18:30,520 Speaker 1: people to the point where it becomes market negative. I 358 00:18:30,520 --> 00:18:33,000 Speaker 1: think because she can't say anything bad about anybody because 359 00:18:33,000 --> 00:18:35,520 Speaker 1: she's quote unquote friends with everybody. Not early friends are 360 00:18:35,600 --> 00:18:37,600 Speaker 1: very right, Like I I don't like I know them. 361 00:18:37,680 --> 00:18:39,439 Speaker 1: That doesn't mean have friends with them. Jump in with 362 00:18:39,440 --> 00:18:41,320 Speaker 1: your comments on that, well, I don't have a comment. 363 00:18:41,320 --> 00:18:43,960 Speaker 1: I mean I feel that you you know, that's a 364 00:18:43,960 --> 00:18:46,639 Speaker 1: good way to operate. I don't know almost more than 365 00:18:46,680 --> 00:18:48,560 Speaker 1: four percent of the people in the building, so coming 366 00:18:48,600 --> 00:18:50,959 Speaker 1: from a very different place. I have lots of questions, 367 00:18:50,960 --> 00:18:53,200 Speaker 1: but we'll get through the intro. Let's get through. Let's 368 00:18:53,240 --> 00:18:55,640 Speaker 1: dig through the at the bullet points. There we are. 369 00:18:56,160 --> 00:19:00,240 Speaker 1: We are in and around the NFL. Yes, we're kind 370 00:19:00,240 --> 00:19:03,000 Speaker 1: of an insular group on the podcast, and I think, 371 00:19:03,600 --> 00:19:05,879 Speaker 1: good job by you again by badgering Greg and I 372 00:19:06,200 --> 00:19:09,240 Speaker 1: almost to the point of physicality to get on the show. 373 00:19:09,480 --> 00:19:11,479 Speaker 1: It was not Mike too, so like other people are 374 00:19:11,600 --> 00:19:14,119 Speaker 1: listening to, Oh, I looked, I was like, found my 375 00:19:14,200 --> 00:19:16,919 Speaker 1: camera perfectly. Did you watch the replay? Because I like 376 00:19:18,040 --> 00:19:21,480 Speaker 1: I nailed that right, like look right down the lens 377 00:19:21,520 --> 00:19:24,520 Speaker 1: and like nailed it. Because we hear from I have 378 00:19:24,760 --> 00:19:27,679 Speaker 1: a specific shadowy League figure that has come to me 379 00:19:27,720 --> 00:19:30,680 Speaker 1: and said, x Y and Z are unhappy they're not 380 00:19:30,800 --> 00:19:33,320 Speaker 1: getting on the show. That's the thing that's happening in 381 00:19:33,320 --> 00:19:36,200 Speaker 1: this building. Well it depends who X Y and Z are. 382 00:19:36,280 --> 00:19:41,280 Speaker 1: But yeah, I like the figure name x Y and Z. Yes, Wow, 383 00:19:41,400 --> 00:19:43,800 Speaker 1: sometimes they do, sometimes they don't. I mean I just 384 00:19:43,840 --> 00:19:48,359 Speaker 1: went to sorry, Steve Wis, it's been a few months down, buddy, 385 00:19:48,760 --> 00:19:51,640 Speaker 1: We'll bring it back. Let's be honest. I all I wanted, 386 00:19:51,760 --> 00:19:53,800 Speaker 1: like I went directly to I didn't go through any 387 00:19:53,800 --> 00:19:56,760 Speaker 1: shadowy figures. I went right. I went right to you guys. 388 00:19:56,880 --> 00:20:00,640 Speaker 1: That's advice you can give Daniel Jeremiah help. I'll tell 389 00:20:00,760 --> 00:20:04,480 Speaker 1: dj alright, the introduction process, Mark is over. I just 390 00:20:04,640 --> 00:20:07,280 Speaker 1: I you know, I hear a lot. I hear a 391 00:20:07,280 --> 00:20:11,600 Speaker 1: lot of times about uh, your your I've imagine you 392 00:20:11,680 --> 00:20:14,440 Speaker 1: up in your apartment wherever you live, with some sort 393 00:20:14,480 --> 00:20:18,080 Speaker 1: of gigantic, uh computerized motherboard where you're running through all 394 00:20:18,119 --> 00:20:20,280 Speaker 1: these facts and figures like I grew up playing uh 395 00:20:20,520 --> 00:20:22,919 Speaker 1: like strat o matic, which to me tied at a 396 00:20:23,000 --> 00:20:25,879 Speaker 1: very early age concept of football. Well it is. I 397 00:20:26,359 --> 00:20:28,400 Speaker 1: feel like I'm in the presence of a fellow nerd 398 00:20:28,440 --> 00:20:32,159 Speaker 1: potentially to some degree which I appreciate. And I just wonder, like, 399 00:20:32,200 --> 00:20:35,000 Speaker 1: are you spending all day long, like just hitting this 400 00:20:35,080 --> 00:20:37,000 Speaker 1: motherboard up for these facts and figures. I just want 401 00:20:37,000 --> 00:20:39,000 Speaker 1: to see what it looks like visually or is it 402 00:20:39,080 --> 00:20:41,399 Speaker 1: just a lot? What What is your program that you're 403 00:20:41,480 --> 00:20:43,840 Speaker 1: running these games on when you put all of these predictions. 404 00:20:43,880 --> 00:20:48,040 Speaker 1: It's called you called the model. Is it like it is? 405 00:20:48,200 --> 00:20:49,960 Speaker 1: I don't know if it's a robot or if it's 406 00:20:50,000 --> 00:20:55,240 Speaker 1: some sort of wall size type thing. I don't know it. Yeah, 407 00:20:55,280 --> 00:20:57,560 Speaker 1: I feel like I need answers. I think a lot 408 00:20:57,560 --> 00:20:59,639 Speaker 1: of people would, in their own mind would wonder what 409 00:20:59,760 --> 00:21:03,919 Speaker 1: it tame. Okay, so you imagine, like like I can, 410 00:21:03,960 --> 00:21:06,120 Speaker 1: I'll take a picture of it. But there's several screens, 411 00:21:06,240 --> 00:21:09,359 Speaker 1: so I have a multiple monitor and I run different 412 00:21:09,359 --> 00:21:11,840 Speaker 1: things on each one. So imagine taking your game pass, 413 00:21:11,880 --> 00:21:14,720 Speaker 1: feeding in all of the all of the coaches film 414 00:21:14,760 --> 00:21:16,560 Speaker 1: because you have to see all the players, and then 415 00:21:16,600 --> 00:21:19,520 Speaker 1: it draws like circles and lines and squares like it's 416 00:21:19,640 --> 00:21:21,600 Speaker 1: you know how the the yellow line that shows you 417 00:21:21,600 --> 00:21:24,000 Speaker 1: where the first down is. It's kind of the same ideas. 418 00:21:24,040 --> 00:21:26,840 Speaker 1: That's it's computer vision. That's the thing that makes me special. 419 00:21:26,840 --> 00:21:28,960 Speaker 1: It's the only thing. And you invented this, well, I 420 00:21:29,000 --> 00:21:31,320 Speaker 1: wrote my own covert. A computer vision allows you to 421 00:21:31,359 --> 00:21:33,680 Speaker 1: create the lines. I just say what do I want 422 00:21:33,720 --> 00:21:36,119 Speaker 1: to measure? So that's that's the that's part of what 423 00:21:36,200 --> 00:21:38,600 Speaker 1: I do. And then it's taking all those things and 424 00:21:38,640 --> 00:21:41,760 Speaker 1: like looking for trends and doppelgangers, if you will keep 425 00:21:41,760 --> 00:21:45,840 Speaker 1: it in our word reference. Of course, I live in 426 00:21:45,880 --> 00:21:48,600 Speaker 1: that realm, so it's my realm too. So it's but 427 00:21:48,680 --> 00:21:51,520 Speaker 1: it's like, what what are similarities. What are similarities? So 428 00:21:51,760 --> 00:21:55,040 Speaker 1: is this defense operating like the eighty five Bears? Right? 429 00:21:55,080 --> 00:21:57,080 Speaker 1: Like we saw a lot of comparisons this week between 430 00:21:57,080 --> 00:21:59,600 Speaker 1: the Patriots current defense and the five Bears? So is 431 00:21:59,600 --> 00:22:02,280 Speaker 1: that true? Yes or no? Did they operate against pressure 432 00:22:02,280 --> 00:22:04,000 Speaker 1: with a lot of pressure or is it more the 433 00:22:04,080 --> 00:22:07,119 Speaker 1: coverage from the back end? Like how? Because how a 434 00:22:07,160 --> 00:22:10,200 Speaker 1: defense is effective is different, right, Like it either nets 435 00:22:10,200 --> 00:22:12,440 Speaker 1: and points or it doesn't, but how it operates can 436 00:22:12,440 --> 00:22:15,000 Speaker 1: be different, so you can't really compare, you know, like 437 00:22:15,000 --> 00:22:17,880 Speaker 1: like we talked about home run hitters in in baseball, right, 438 00:22:18,160 --> 00:22:21,399 Speaker 1: Like if you want to talk about how uh Barry 439 00:22:21,440 --> 00:22:23,080 Speaker 1: Bonds you say him, maybe it's not a good one, 440 00:22:23,080 --> 00:22:26,399 Speaker 1: but right, But you know, you can use these like 441 00:22:26,520 --> 00:22:28,399 Speaker 1: sluggers with like a lot of power, or you can 442 00:22:28,480 --> 00:22:30,680 Speaker 1: use it kind of like single and double hitters. Right, 443 00:22:30,720 --> 00:22:33,720 Speaker 1: So you can't say yes, both get you know, have 444 00:22:34,040 --> 00:22:36,480 Speaker 1: high on base percentages or things like that. But you 445 00:22:36,520 --> 00:22:37,919 Speaker 1: what you want to see how they're doing it. Are 446 00:22:37,920 --> 00:22:39,959 Speaker 1: they doing with power or are they doing it with 447 00:22:40,080 --> 00:22:42,440 Speaker 1: you know, more efficiency? So and that's what you look 448 00:22:42,480 --> 00:22:48,560 Speaker 1: for in football. What are the dopplic doppelgangers? So what 449 00:22:48,640 --> 00:22:51,960 Speaker 1: about how does how is that all fed into what 450 00:22:52,119 --> 00:22:55,680 Speaker 1: the model is to then predict like game scores each 451 00:22:55,840 --> 00:22:57,959 Speaker 1: So you know how you like? Open up Microsoft Excel 452 00:22:58,400 --> 00:23:01,600 Speaker 1: so like Excel looks like you ros right, Okay, Well, 453 00:23:01,640 --> 00:23:03,920 Speaker 1: if you'd like to, it's on your computer. I'm pretty 454 00:23:03,960 --> 00:23:07,199 Speaker 1: sure his columns and rows and basically that's that's a 455 00:23:07,359 --> 00:23:09,960 Speaker 1: that's a program. That's a computer program. So I've written 456 00:23:09,960 --> 00:23:13,080 Speaker 1: a program for my stuff that takes in a lot 457 00:23:13,119 --> 00:23:16,320 Speaker 1: of different inputs and it doesn't look like Excel, but 458 00:23:16,400 --> 00:23:18,600 Speaker 1: it's it operates like Excel. I ask it to do 459 00:23:18,640 --> 00:23:20,639 Speaker 1: some stuff and it gives me a result kind of 460 00:23:20,680 --> 00:23:22,240 Speaker 1: like Excel does if you were going to use it 461 00:23:22,280 --> 00:23:24,919 Speaker 1: to create a spreadsheet for like your household income, right 462 00:23:25,000 --> 00:23:27,119 Speaker 1: like like what you're doing around the house. So I 463 00:23:27,200 --> 00:23:29,840 Speaker 1: created us the software that pulls in all these different 464 00:23:29,920 --> 00:23:32,720 Speaker 1: data components and makes it so that I can visualize 465 00:23:32,760 --> 00:23:35,200 Speaker 1: it so that I can use it to predict different things. 466 00:23:35,280 --> 00:23:37,159 Speaker 1: And by the way, there are more than one model. 467 00:23:37,320 --> 00:23:40,320 Speaker 1: There's multiple models, and they're all named after like old 468 00:23:40,320 --> 00:23:46,280 Speaker 1: school rappers. Let's hear well, do you like sure? Okay? 469 00:23:46,760 --> 00:23:49,320 Speaker 1: I feel like he's lying to me right now. Lots 470 00:23:49,359 --> 00:23:53,320 Speaker 1: of music. I don't like being pigeonholed, and how did 471 00:23:53,320 --> 00:23:56,800 Speaker 1: you know that? Greg doesn't like it's not ironic. She 472 00:23:56,800 --> 00:23:58,800 Speaker 1: she makes a lot of like noise about Oh yeah, 473 00:23:58,800 --> 00:23:59,960 Speaker 1: I don't you know. I don't think you guys like 474 00:24:00,119 --> 00:24:01,919 Speaker 1: me haven't been on the podcast. She's never listened to 475 00:24:01,920 --> 00:24:07,439 Speaker 1: the podcast. That is completely untrue that she's building multiple 476 00:24:07,520 --> 00:24:12,719 Speaker 1: high octane models. So I put on my headphones and 477 00:24:12,800 --> 00:24:15,680 Speaker 1: I listened to some of my favorite podcasts, of which 478 00:24:16,280 --> 00:24:20,480 Speaker 1: in okay, so I'm I like like I'm a tribe 479 00:24:20,480 --> 00:24:24,239 Speaker 1: called quest kind of girl every time, like every once 480 00:24:24,240 --> 00:24:25,800 Speaker 1: in a while, get mad at once, so like I'll 481 00:24:25,880 --> 00:24:28,720 Speaker 1: name something like a little bit like like easy. Sometimes 482 00:24:28,760 --> 00:24:30,960 Speaker 1: you love him, sometimes you hate him, stuff like they're 483 00:24:31,320 --> 00:24:36,440 Speaker 1: you know like and obviously my favorite all time Christopher Wallace, 484 00:24:36,520 --> 00:24:38,800 Speaker 1: which obviously is notorious b I g but you gotta 485 00:24:39,160 --> 00:24:41,800 Speaker 1: his mother. You gotta go with what his mother nads him, 486 00:24:41,840 --> 00:24:43,960 Speaker 1: so you gotta. So those are three of my favorites. 487 00:24:44,040 --> 00:24:45,720 Speaker 1: Like the one that I referenced every week on our 488 00:24:45,760 --> 00:24:48,560 Speaker 1: show is Christopher Wallace the Motherboard. Oh I get it, Okay, 489 00:24:48,720 --> 00:24:51,160 Speaker 1: So to pick the games, let's let's just in terms 490 00:24:51,160 --> 00:24:53,879 Speaker 1: of your model and the two thousand nineteen season, because 491 00:24:53,880 --> 00:24:55,440 Speaker 1: We do talk about this a lot on the Power 492 00:24:55,480 --> 00:24:59,359 Speaker 1: Ranking Show. Some teams don't whether there where the record is, 493 00:24:59,400 --> 00:25:01,719 Speaker 1: where they're now rative is connected to them doesn't always 494 00:25:02,000 --> 00:25:04,399 Speaker 1: drive up with where the model has them. What is 495 00:25:04,440 --> 00:25:08,480 Speaker 1: a team that all season remains high up when you're 496 00:25:08,480 --> 00:25:10,320 Speaker 1: talking about the best teams in the league that perhaps 497 00:25:10,320 --> 00:25:12,119 Speaker 1: has been bouncing up and down the standings or in 498 00:25:12,160 --> 00:25:14,160 Speaker 1: the view of the general public. So you know how 499 00:25:14,160 --> 00:25:16,359 Speaker 1: like you always want to buy blue chip stocks, like 500 00:25:16,400 --> 00:25:18,800 Speaker 1: you're gonna take an Apple stock. Maybe there's a down 501 00:25:18,880 --> 00:25:20,720 Speaker 1: day or whatever, but like you're gonna take that blue 502 00:25:20,760 --> 00:25:23,800 Speaker 1: chip stock to me, like the Kansas City Chiefs although 503 00:25:23,840 --> 00:25:26,760 Speaker 1: they've had some down moments. The Chiefs and the Patriots 504 00:25:26,760 --> 00:25:29,120 Speaker 1: are those two blue chip stocks there, You're Amazon your 505 00:25:29,160 --> 00:25:31,720 Speaker 1: Apple that they're going to remain high even if there's 506 00:25:31,760 --> 00:25:36,040 Speaker 1: some dips in temporary kind of like day trading, temporary dips. 507 00:25:36,200 --> 00:25:38,119 Speaker 1: You want you want me to continue this? No? I like? 508 00:25:41,480 --> 00:25:44,440 Speaker 1: But so the blue chip teams Pats the Chiefs even 509 00:25:44,480 --> 00:25:46,800 Speaker 1: though they've lost games this year, and they lost a 510 00:25:46,840 --> 00:25:48,639 Speaker 1: lot of games at home. And a big part of 511 00:25:48,680 --> 00:25:51,600 Speaker 1: your model, the Christopher Wallace model, is the importance of 512 00:25:51,600 --> 00:25:54,200 Speaker 1: getting a bye week in the playoffs when you're talking 513 00:25:54,200 --> 00:25:57,159 Speaker 1: about Super Bowl probability, because then you remember, like if 514 00:25:57,200 --> 00:25:58,720 Speaker 1: you think about it, if you if you kind of 515 00:25:58,760 --> 00:26:02,320 Speaker 1: add together. So let's say tonight, so for the for 516 00:26:02,359 --> 00:26:04,760 Speaker 1: the Thursday night game, right, like you, let's say there's 517 00:26:04,760 --> 00:26:06,840 Speaker 1: like a fifty six, Like the winner is fifty six 518 00:26:06,880 --> 00:26:09,840 Speaker 1: wins and fifty of the simulations. So the loser, what's 519 00:26:09,840 --> 00:26:14,199 Speaker 1: the math there? Perfect, This is your backup if you 520 00:26:14,240 --> 00:26:16,560 Speaker 1: go down. This is your backup on this stuff. That's right, 521 00:26:16,720 --> 00:26:18,800 Speaker 1: pretty good, Like you're in the cloud. Now, let's go, 522 00:26:18,880 --> 00:26:20,680 Speaker 1: let's put you in the cloud. Hands is in the cloud? 523 00:26:20,920 --> 00:26:27,440 Speaker 1: Get so then you add to don't so not too late. 524 00:26:28,240 --> 00:26:32,000 Speaker 1: So then you add together all the remaining like each 525 00:26:32,040 --> 00:26:34,479 Speaker 1: game has those probabilities, so you add together those remaining 526 00:26:34,480 --> 00:26:36,520 Speaker 1: ones to get the wind total. So if you think 527 00:26:36,560 --> 00:26:38,800 Speaker 1: about it, if your wind totals are out of if 528 00:26:38,880 --> 00:26:41,159 Speaker 1: like fifty six, then becomes one if you win or 529 00:26:41,240 --> 00:26:43,199 Speaker 1: zero if you lose. But if you don't have that 530 00:26:43,320 --> 00:26:45,640 Speaker 1: roll of the dice in the playoffs, then your number 531 00:26:45,680 --> 00:26:47,720 Speaker 1: becomes like you have six games to play it out 532 00:26:47,720 --> 00:26:49,280 Speaker 1: of instead of seven games to play it out of. 533 00:26:49,400 --> 00:26:51,680 Speaker 1: So no matter what, you're going to be better off 534 00:26:51,680 --> 00:26:53,760 Speaker 1: with a buy like, you know, even if it's that's why, 535 00:26:53,800 --> 00:26:56,880 Speaker 1: it's just always more improbable, even if the better team 536 00:26:56,880 --> 00:26:59,119 Speaker 1: that you think is better is not seated as highly 537 00:26:59,480 --> 00:27:03,320 Speaker 1: and adversely and using that you know kind of parlance 538 00:27:03,359 --> 00:27:05,119 Speaker 1: the blue chip stock, what's the opposite of that. I 539 00:27:05,119 --> 00:27:08,040 Speaker 1: don't know that. Well, there's like like, look like you 540 00:27:08,080 --> 00:27:10,440 Speaker 1: had a blue chip stock overvalued right now there's a 541 00:27:10,440 --> 00:27:14,160 Speaker 1: little overvalued. Oh see, that's that's a good way that's overvalued. Yeah, 542 00:27:14,320 --> 00:27:22,320 Speaker 1: so they're like stuck. I think you're probably looking at 543 00:27:22,600 --> 00:27:24,880 Speaker 1: I mean, to be honest with you, We'll see, we'll 544 00:27:24,920 --> 00:27:27,240 Speaker 1: see here. But I'm I'm curious what happens between this 545 00:27:27,600 --> 00:27:30,119 Speaker 1: San Francisco and Green Bay game. One of those seems 546 00:27:30,119 --> 00:27:32,119 Speaker 1: to be a bit I'm gonna say, maybe like a 547 00:27:32,280 --> 00:27:34,399 Speaker 1: trading a little higher than maybe they should. I'm not 548 00:27:34,440 --> 00:27:38,280 Speaker 1: saying their potentialist. I think the I think the loser 549 00:27:38,320 --> 00:27:40,520 Speaker 1: of this one was maybe a little over is maybe 550 00:27:40,720 --> 00:27:42,840 Speaker 1: now looking back, would be a little overvalued, right, Like 551 00:27:43,080 --> 00:27:46,480 Speaker 1: you could argue, you could argue either way. Right San Francisco, 552 00:27:46,480 --> 00:27:49,080 Speaker 1: you think about their defense, and then there we have 553 00:27:49,080 --> 00:27:50,840 Speaker 1: a lot of questions on their offense. But then you've 554 00:27:50,840 --> 00:27:52,760 Speaker 1: got Green Bay, and you're what's going on with their 555 00:27:52,800 --> 00:27:55,280 Speaker 1: defense their offense. Aaron Rodgers always seems to give them 556 00:27:55,280 --> 00:27:57,240 Speaker 1: a chance, so they could be a bit overvalued in 557 00:27:57,320 --> 00:28:01,280 Speaker 1: terms of like super Bowl potential. And question on on 558 00:28:01,600 --> 00:28:04,160 Speaker 1: these models, they obviously do so many things. I thought 559 00:28:04,160 --> 00:28:07,119 Speaker 1: they were mostly numbers. You're telling me these models watch it, 560 00:28:07,240 --> 00:28:10,160 Speaker 1: analyze game film every every single game. Well, I mean 561 00:28:10,200 --> 00:28:14,400 Speaker 1: I won't be needed on this podcast any I watch 562 00:28:14,440 --> 00:28:16,840 Speaker 1: it too, right. Like the point is is you want 563 00:28:16,840 --> 00:28:19,320 Speaker 1: to have an I want to create an unbiased way, 564 00:28:19,440 --> 00:28:22,080 Speaker 1: like I watched every single game too, right, But I'm biased, 565 00:28:22,080 --> 00:28:24,800 Speaker 1: just like your biased. We're all biased, we no matter what, 566 00:28:24,880 --> 00:28:26,960 Speaker 1: Like you can't not be bias your human being, right, 567 00:28:27,280 --> 00:28:29,119 Speaker 1: some people are more biased than others, Like if you 568 00:28:29,359 --> 00:28:32,080 Speaker 1: if you ask um. I used to ask Marshall Falk 569 00:28:32,119 --> 00:28:34,520 Speaker 1: for help on certain things with running backs and picking 570 00:28:34,560 --> 00:28:38,480 Speaker 1: up blitz is, and Marshall has a huge bias on 571 00:28:38,560 --> 00:28:41,240 Speaker 1: running backs pick but he can't help it because that's Marshall, 572 00:28:41,360 --> 00:28:43,760 Speaker 1: Like that's what he did, Like that's his area of expertise. 573 00:28:43,880 --> 00:28:45,719 Speaker 1: So you have to learn how to take what Marshall 574 00:28:45,760 --> 00:28:48,080 Speaker 1: told me and make that like something that helps, right 575 00:28:48,120 --> 00:28:50,520 Speaker 1: as opposed to something that like makes me more biased. 576 00:28:50,560 --> 00:28:53,160 Speaker 1: So when you measure things, and you measure actual distances 577 00:28:53,160 --> 00:28:56,160 Speaker 1: from stuff, then you can say, hey, Aaron Donald is 578 00:28:56,160 --> 00:28:58,239 Speaker 1: still getting within five ft of a quarterback. And by 579 00:28:58,240 --> 00:28:59,840 Speaker 1: the way, we came up with that because when I 580 00:28:59,920 --> 00:29:02,320 Speaker 1: was talking to coaches, it's like, most quarterbacks are about 581 00:29:02,320 --> 00:29:04,920 Speaker 1: six ft tall, so their wingspans about six ft, so 582 00:29:05,000 --> 00:29:08,560 Speaker 1: five inside of that your visions and thirty five degrees 583 00:29:08,640 --> 00:29:11,200 Speaker 1: most people. So as long as like if your head's turning, 584 00:29:11,360 --> 00:29:13,400 Speaker 1: but a defenders in your face, probably a good way 585 00:29:13,440 --> 00:29:16,880 Speaker 1: to approximate pressure. So that's just to be more specific 586 00:29:16,880 --> 00:29:19,640 Speaker 1: than like, oh they got through the old line, Okay, 587 00:29:19,680 --> 00:29:21,640 Speaker 1: like does that did they really like did they have 588 00:29:21,680 --> 00:29:24,480 Speaker 1: an effect? I don't know. So trying to like make 589 00:29:24,520 --> 00:29:26,920 Speaker 1: things so that it's formulaic in a way where like 590 00:29:26,960 --> 00:29:29,280 Speaker 1: if I just handed you the recipe, you could cook 591 00:29:29,320 --> 00:29:31,320 Speaker 1: the cookies too, you can bake the cookies. I'm starting 592 00:29:31,320 --> 00:29:33,800 Speaker 1: to think none of us are needed on this podcast. 593 00:29:34,440 --> 00:29:37,160 Speaker 1: These robots that are that that are trained for war. Now, 594 00:29:37,280 --> 00:29:39,400 Speaker 1: I mean, this is all happened, It's gonna be easy. 595 00:29:41,200 --> 00:29:44,000 Speaker 1: But here's the thing. The better you the better your inputs, 596 00:29:44,000 --> 00:29:46,760 Speaker 1: the better your output. So like coming up with that formula. 597 00:29:46,800 --> 00:29:48,720 Speaker 1: You have to ask people who know so that you 598 00:29:48,720 --> 00:29:50,200 Speaker 1: can come and then, by the way, you gotta keep 599 00:29:50,200 --> 00:29:53,120 Speaker 1: making it better because the game evolves and the game changes, 600 00:29:53,200 --> 00:29:55,600 Speaker 1: like everything changes. So the point is to just do 601 00:29:55,640 --> 00:29:57,720 Speaker 1: it kind of quickly so you can do these like 602 00:29:57,800 --> 00:30:00,440 Speaker 1: what if scenarios or make decision trees, but based on 603 00:30:00,520 --> 00:30:03,520 Speaker 1: really smart mind. So like that, you're actually more valuable 604 00:30:03,560 --> 00:30:05,600 Speaker 1: because then you become the person who informs what the 605 00:30:06,000 --> 00:30:08,880 Speaker 1: robots looking for. The robot can just look through way 606 00:30:08,880 --> 00:30:11,280 Speaker 1: more years of data faster than you because they don't 607 00:30:11,280 --> 00:30:15,360 Speaker 1: have to category especially. I mean, you didn't have to 608 00:30:15,360 --> 00:30:17,720 Speaker 1: go there. But it's the old it's the old Tom 609 00:30:17,760 --> 00:30:20,160 Speaker 1: Brady scouting report thing too. I'm going to lean on here. 610 00:30:20,400 --> 00:30:23,520 Speaker 1: The one ding they couldn't measure was right here. Okay, 611 00:30:23,520 --> 00:30:27,960 Speaker 1: it's hot. You must have teams um reaching out trying 612 00:30:27,960 --> 00:30:30,160 Speaker 1: to pull you away from NFL network and into their 613 00:30:30,200 --> 00:30:33,720 Speaker 1: building as a singular employee. Ye oh, that's how you 614 00:30:33,720 --> 00:30:38,480 Speaker 1: get paid names. I want names. I want organizations. Have 615 00:30:38,560 --> 00:30:41,760 Speaker 1: you consulted with any teams they do? I actively consult 616 00:30:41,760 --> 00:30:44,160 Speaker 1: with teams, But you don't hear about multiple income streams. 617 00:30:45,320 --> 00:30:50,120 Speaker 1: Tell us get into that okay, So we got an annuity. 618 00:30:50,280 --> 00:30:51,920 Speaker 1: And then it's the end of year, so you gotta 619 00:30:51,960 --> 00:30:54,800 Speaker 1: consider what you're gonna be doing with your tax status. 620 00:30:54,840 --> 00:30:57,959 Speaker 1: So we're in California, you gotta go make some donations. 621 00:30:57,960 --> 00:31:00,520 Speaker 1: You're gonna pay a lot of tack. Smart aren't smart? 622 00:31:01,440 --> 00:31:03,600 Speaker 1: So no, But what the what I like to do? 623 00:31:03,760 --> 00:31:06,680 Speaker 1: The best team look just like everything else. If I'm 624 00:31:06,720 --> 00:31:08,160 Speaker 1: listening to you and you're listening to me, and we 625 00:31:08,200 --> 00:31:10,400 Speaker 1: can come up with something better together. I don't know, 626 00:31:10,520 --> 00:31:12,120 Speaker 1: Like I know a bunch of people who like do 627 00:31:12,320 --> 00:31:14,160 Speaker 1: like analytics or they say I don't even know what 628 00:31:14,160 --> 00:31:16,440 Speaker 1: that word means anymore. But it's not a project, like 629 00:31:16,640 --> 00:31:18,840 Speaker 1: they're just saying. They're just saying things. I see them 630 00:31:18,880 --> 00:31:21,040 Speaker 1: on Twitter all the time. In fact, many times I 631 00:31:21,080 --> 00:31:24,000 Speaker 1: have to throw my phone. My phone is always broken 632 00:31:24,040 --> 00:31:26,720 Speaker 1: because I cannot stand looking at because these takes are 633 00:31:26,720 --> 00:31:29,520 Speaker 1: so crappy. Like, of course you're gonna be better at 634 00:31:29,960 --> 00:31:32,800 Speaker 1: passing the ball if you have Michael Thomas on your team. 635 00:31:32,800 --> 00:31:34,920 Speaker 1: Then if you don't, like, I saw a whole thing 636 00:31:34,960 --> 00:31:37,000 Speaker 1: this summer, and I don't care if this person listens 637 00:31:37,000 --> 00:31:39,000 Speaker 1: and gets mad at me, But this whole thing I'm 638 00:31:39,000 --> 00:31:41,120 Speaker 1: saying I'm a Lions fan, and they were saying that 639 00:31:41,360 --> 00:31:45,120 Speaker 1: the Lions um were worse at passing now and because 640 00:31:45,120 --> 00:31:47,000 Speaker 1: they've been trying to be a run first team. As 641 00:31:47,040 --> 00:31:49,320 Speaker 1: it turns out, it's a tiny sample size, and you 642 00:31:49,320 --> 00:31:51,520 Speaker 1: know what, it's better. It's easier to pass if Calvin 643 00:31:51,600 --> 00:31:54,280 Speaker 1: Johnson's on your team then if he's not, like these 644 00:31:54,320 --> 00:31:57,920 Speaker 1: are ridiculous, like these are ridiculous, like takes right. So 645 00:31:58,080 --> 00:32:01,760 Speaker 1: instead it's like when I work with the team last year, 646 00:32:02,160 --> 00:32:04,400 Speaker 1: I was asked by team to come up with an 647 00:32:04,400 --> 00:32:08,920 Speaker 1: analysis of three or four, but three primary running backs 648 00:32:08,920 --> 00:32:12,000 Speaker 1: that they think they could afford in this tier that's 649 00:32:12,040 --> 00:32:14,760 Speaker 1: not a premier tier of running back. So back up, 650 00:32:15,120 --> 00:32:19,360 Speaker 1: these are the Jets. No, it wasn't um. It was 651 00:32:19,360 --> 00:32:20,960 Speaker 1: not the Jets, I will tell you that, But it's 652 00:32:21,000 --> 00:32:23,200 Speaker 1: it's how do we how do we value these three things? 653 00:32:23,200 --> 00:32:24,760 Speaker 1: And it was like, so I sat down with coach 654 00:32:24,800 --> 00:32:26,440 Speaker 1: and I said, well, what kind of offense are you 655 00:32:26,640 --> 00:32:28,440 Speaker 1: going to run? Is it going to be different? Like, 656 00:32:28,480 --> 00:32:30,320 Speaker 1: what what is your strategy? What are the things you're 657 00:32:30,320 --> 00:32:33,240 Speaker 1: prioritizing for? And all I did then was I organized 658 00:32:33,280 --> 00:32:37,080 Speaker 1: everything that he said into categories and then analyze each 659 00:32:37,120 --> 00:32:39,800 Speaker 1: of the running backs that they asked me about into 660 00:32:39,800 --> 00:32:42,160 Speaker 1: those categories and made some cut ups because coaches speaking 661 00:32:42,160 --> 00:32:44,479 Speaker 1: cut ups. Put it into biggie smalls and see what happens. 662 00:32:44,560 --> 00:32:46,600 Speaker 1: And that was that was a different one. That was, yeah, 663 00:32:46,720 --> 00:32:50,560 Speaker 1: I know it's these names are no no, no, but 664 00:32:50,560 --> 00:32:52,720 Speaker 1: but you know, but exactly like you know, you put 665 00:32:52,760 --> 00:32:55,800 Speaker 1: it in there and out with it just gives it 666 00:32:55,840 --> 00:32:57,600 Speaker 1: like a great like this one's an eight out of ten. 667 00:32:58,040 --> 00:33:00,680 Speaker 1: Or here the five clips that are exactly what you're 668 00:33:00,680 --> 00:33:03,360 Speaker 1: looking for. Here are the five cut ups that are 669 00:33:03,480 --> 00:33:05,320 Speaker 1: not what you're looking for. And here the five that 670 00:33:05,400 --> 00:33:07,120 Speaker 1: I have no idea how to explain, but you should 671 00:33:07,120 --> 00:33:09,640 Speaker 1: probably look at as a coach. Alright, So it's really helpful. 672 00:33:09,720 --> 00:33:12,600 Speaker 1: Two things we focused. We gotta let Cynthia go. Two 673 00:33:12,640 --> 00:33:16,480 Speaker 1: things we need to hit real quick. One, be careful 674 00:33:16,560 --> 00:33:20,720 Speaker 1: with this with the With how much information pump into it, 675 00:33:20,720 --> 00:33:23,960 Speaker 1: it becomes self aware. You've seen the terminator terminator franchise. 676 00:33:24,040 --> 00:33:26,040 Speaker 1: Oh I know, sometimes it scares me. What it tells 677 00:33:26,080 --> 00:33:29,440 Speaker 1: me AI is like legit. Just so you're saying the person, 678 00:33:29,600 --> 00:33:31,680 Speaker 1: you know, the thing that could come into the company 679 00:33:32,320 --> 00:33:34,840 Speaker 1: and replace Cynthia would be her own creation. That's what 680 00:33:34,880 --> 00:33:36,840 Speaker 1: I'm saying exactly, And that could be the least of 681 00:33:36,840 --> 00:33:39,680 Speaker 1: your problems. She could replace you, It could replace you. 682 00:33:39,800 --> 00:33:42,440 Speaker 1: And always you're saying you're a great cook in the kitchen. 683 00:33:42,840 --> 00:33:46,760 Speaker 1: Be careful how much information and pump into its hardware. 684 00:33:46,840 --> 00:33:50,120 Speaker 1: Embrace the change it's going to happen. No, you just 685 00:33:50,120 --> 00:33:52,200 Speaker 1: gotta be better than I told you the formula. You 686 00:33:52,280 --> 00:33:54,200 Speaker 1: just have to be the one informing what it's looking at. 687 00:33:54,360 --> 00:33:58,040 Speaker 1: Couldn't magine that? Te last thought, last thought, because we've 688 00:33:58,040 --> 00:34:01,520 Speaker 1: got to get to our previous show. Here, the model says, 689 00:34:01,520 --> 00:34:05,720 Speaker 1: who wins the super Bowl? Right now? The Patriots? Come on, yeah, 690 00:34:05,720 --> 00:34:08,719 Speaker 1: but what's the percentage? It's right? See, that's the thing 691 00:34:08,800 --> 00:34:12,480 Speaker 1: is people I saw yesterday on Twitter this it was like, alright, 692 00:34:12,960 --> 00:34:15,399 Speaker 1: I'm making you know, it's like hot take alert. It's 693 00:34:15,440 --> 00:34:19,359 Speaker 1: like this ex athlete says, the Patriots are done. They 694 00:34:19,400 --> 00:34:22,640 Speaker 1: are not winning the super Bowl this year. And I'm thinking, 695 00:34:23,360 --> 00:34:27,880 Speaker 1: and I'm thinking, well, the most optimistic assessment that the 696 00:34:27,920 --> 00:34:31,600 Speaker 1: Patriots are the favorites in the NFL would say that 697 00:34:31,640 --> 00:34:34,439 Speaker 1: they're not winning the super Bowl because no team would 698 00:34:34,440 --> 00:34:37,399 Speaker 1: have a greater than fifty chance to win the Super Bowl. 699 00:34:37,440 --> 00:34:43,640 Speaker 1: Her favorite is that because stuff put We like the 700 00:34:43,640 --> 00:34:46,000 Speaker 1: buttons on our show, don't we. I mean, look, it 701 00:34:46,160 --> 00:34:50,360 Speaker 1: goes right now. It's Patriots, Ravens. What was third Chiefs, Chiefs, 702 00:34:50,719 --> 00:34:54,640 Speaker 1: Patriot Ravens, Chiefs Saints. That was it. That's the button. 703 00:34:55,160 --> 00:34:57,120 Speaker 1: It feels like you should be doing power rankings, but 704 00:34:57,160 --> 00:35:00,080 Speaker 1: I'll leave it there. She does. She's more real on 705 00:35:00,160 --> 00:35:04,720 Speaker 1: the field. Thanks for having me, Um, all right, Cynthia Freeland. 706 00:35:04,800 --> 00:35:07,360 Speaker 1: Check her out on all different NFL network programming. And 707 00:35:07,400 --> 00:35:09,360 Speaker 1: thank you for coming on the show. You know, thanks 708 00:35:09,360 --> 00:35:14,480 Speaker 1: for having me as any enemies in the room, Marks 709 00:35:14,520 --> 00:35:20,000 Speaker 1: like fellow nerds, all right, Cynthia Freeland, all right, that 710 00:35:20,120 --> 00:35:23,200 Speaker 1: was Cynthia and uh the rest of us. You know, 711 00:35:23,280 --> 00:35:25,520 Speaker 1: I thought we all did well in that interview, West, 712 00:35:25,560 --> 00:35:29,760 Speaker 1: but you really stood out to me, Like what you're really, 713 00:35:30,000 --> 00:35:33,160 Speaker 1: um incisive, You're an incisive guy. See I thought the 714 00:35:33,160 --> 00:35:36,560 Speaker 1: opposite that she obviously has a natural rapport with you 715 00:35:36,640 --> 00:35:39,359 Speaker 1: and Dan from being on shows with her, whereas Mark 716 00:35:39,400 --> 00:35:40,920 Speaker 1: and I were kind of left of the circle a 717 00:35:40,960 --> 00:35:43,839 Speaker 1: little bit. Uh. You know, well, what can I say. 718 00:35:43,880 --> 00:35:46,400 Speaker 1: We've been working together. It's uh, it's been a lot 719 00:35:46,440 --> 00:35:48,279 Speaker 1: of fun. People should check out, you know, If you're 720 00:35:48,280 --> 00:35:51,399 Speaker 1: making it this deep into the Thursday night recap show 721 00:35:51,560 --> 00:35:54,439 Speaker 1: and the interview with Cynthia, you're a real football head, 722 00:35:54,480 --> 00:35:56,600 Speaker 1: you're a real fan, and uh, I think you'll enjoy 723 00:35:56,719 --> 00:36:01,520 Speaker 1: game debut. Uh think nine a m. And midnight Eastern 724 00:36:01,600 --> 00:36:03,480 Speaker 1: time on Saturdays. You can d v R and then 725 00:36:03,520 --> 00:36:06,319 Speaker 1: watch it with your kids anytime until then, though, West, 726 00:36:06,400 --> 00:36:08,800 Speaker 1: we we should get out of here. Let's get okay. 727 00:36:08,920 --> 00:36:12,919 Speaker 1: They're going for Chris and Dan and Mark and Cynthia 728 00:36:13,040 --> 00:36:16,960 Speaker 1: and the wonderful Ericatan Posey behind the glass. We will 729 00:36:16,960 --> 00:36:46,600 Speaker 1: talk to you ascenday m