WEBVTT - MLB's has its BEST Ratings Since 2017 0:00:00.160 --> 0:00:02.400 Hello, and welcome to Jimmy's Three Things. There's three things 0:00:02.440 --> 0:00:03.880 I want to talk about in the world of Major 0:00:03.960 --> 0:00:08.520 League Baseball. Today. We got ratings, they're up, they're good. 0:00:08.680 --> 0:00:13.440 People are watching the playoffs. A stat from nineteen eighties 0:00:13.480 --> 0:00:14.880 that I read in a book that I want to 0:00:14.920 --> 0:00:18.599 see how today's players are doing in this stat And 0:00:18.640 --> 0:00:23.200 then many Ramirez shit on your favorite team, maybe half 0:00:23.239 --> 0:00:26.880 of yours favorite team, many Ramirez shit on. Those are 0:00:26.920 --> 0:00:29.120 the three things. Jimmy's Three Things is the production of 0:00:29.200 --> 0:00:32.880 Dan Patrick Production, sham Boy Media, and Workhouse Media. Let's 0:00:33.120 --> 0:00:36.199 get into it. So a late night recording for me 0:00:36.240 --> 0:00:39.640 because I'm on playoff schedule, which is draining me. I 0:00:39.680 --> 0:00:41.720 don't know even how to exist on this schedule. We're 0:00:41.720 --> 0:00:45.159 streaming every night. It's going crazy. Our numbers are through 0:00:45.200 --> 0:00:47.919 the roof, Our merch sales are going nuts. We're a 0:00:48.000 --> 0:00:51.120 Mets company these days, as far as the shop goes 0:00:51.120 --> 0:00:54.600 shop dot Johnbomedia, dot Com. Merch for Mets is like 0:00:55.920 --> 0:00:58.880 every day just keeps going and keeps going. Need the 0:00:58.960 --> 0:01:00.920 Yankees to have some big moment, have some fun. I mean, 0:01:00.920 --> 0:01:03.080 we're selling Met shirts, oh Yankee shirts too, But the 0:01:03.200 --> 0:01:08.120 dude Mets are just a wagon right now. So our 0:01:08.240 --> 0:01:10.919 numbers are up, our stream numbers are up, our social 0:01:11.000 --> 0:01:14.600 numbers are up. Baseball's up. Let's pour into some of 0:01:14.640 --> 0:01:19.960 these ratings because it's fun, right, I want to see 0:01:20.000 --> 0:01:24.520 the numbers people are watching baseball. This ESPN article written 0:01:24.600 --> 0:01:27.360 by the Associated Press. So does that mean it's not 0:01:27.400 --> 0:01:30.640 even written by ESPN? How does that work? Whatever? Major 0:01:30.720 --> 0:01:36.280 League Baseball's postseason is averaging three point three point three 0:01:36.319 --> 0:01:39.440 to three million viewers going into the League Championship Series, 0:01:40.040 --> 0:01:42.880 eighteen percent increase over last year's average of two point 0:01:42.880 --> 0:01:45.880 eight two. Last year was down, not big markets, a 0:01:45.880 --> 0:01:47.840 lot of upstart teams, which you want, but you don't 0:01:47.840 --> 0:01:53.080 want all that, and you got some big markets going. 0:01:53.400 --> 0:01:56.680 So the Division Series averaged three point five six million 0:01:56.720 --> 0:02:01.840 viewers for eighteen games. That's up, and there's some fun numbers. 0:02:01.920 --> 0:02:03.960 Let's see which there's some numbers. I liked a lot. 0:02:04.320 --> 0:02:07.840 Friday nights National League Divisional Series Game five between the 0:02:07.840 --> 0:02:11.520 Dodgers and the Padres Avants average seven point five million 0:02:12.080 --> 0:02:19.040 viewers on Fox, Fox Deportesports and streaming, the most watched 0:02:19.040 --> 0:02:23.040 Division Series game since twenty seventeen. So that's cool. I 0:02:23.160 --> 0:02:27.080 like that. Saturday afternoons deciding in between the Guardians and 0:02:27.080 --> 0:02:31.520 the Tigers average three point four, So that's good. If 0:02:31.600 --> 0:02:34.840 last year averaged two point eight, it was the most 0:02:34.840 --> 0:02:37.880 watched Division Series matchup in a day game window. Okay, 0:02:38.840 --> 0:02:40.480 why was it a day game? Why are we doing 0:02:40.480 --> 0:02:43.600 this day game? The game was originally slated we played 0:02:43.600 --> 0:02:45.320 at night, but was moved up to the afternoon to 0:02:45.360 --> 0:02:47.520 do the threat of inclement weather. Okay, that makes sense. 0:02:48.520 --> 0:02:52.520 So those are some fun numbers because good teams matter. 0:02:52.680 --> 0:02:55.320 Let's go over to Sports Media Watch, which I like 0:02:56.440 --> 0:02:58.080 because they do a lot of ratings talk and I 0:02:58.160 --> 0:03:01.640 like ratings, and there's some fun numbers here. Now, the 0:03:01.720 --> 0:03:06.760 Yankees clincher opposite the other alds. They split the views 0:03:06.800 --> 0:03:11.600 because the Guardians overlapped with the Guardians. Tigers overlap with 0:03:11.960 --> 0:03:15.160 Yankees Royals for a little bit. So Game four of 0:03:15.280 --> 0:03:20.480 Yankees Royals averaged three point five million viewers across TBS, 0:03:20.520 --> 0:03:25.720 True TV, which was down from the Phillies Braves on 0:03:25.840 --> 0:03:28.000 the same night last year. And those are two big 0:03:28.040 --> 0:03:32.200 markets there, Phillies Braves DS that had five point eight million. 0:03:32.480 --> 0:03:38.240 How about Padres Dodgers with seven million. But they say 0:03:38.280 --> 0:03:41.200 that last year that Phillies' Brave game was a standalone 0:03:41.200 --> 0:03:44.440 window and the Yankees series clinching win overlapped with the 0:03:44.440 --> 0:03:47.640 Guardians Tigers, which also drew a series high three point 0:03:47.640 --> 0:03:50.000 four So a lot of people watching baseball that day, 0:03:50.720 --> 0:03:54.280 but they overlapped, which is just a bummer. They have 0:03:54.280 --> 0:03:57.520 a lot of games. Now. There was another thing I 0:03:57.560 --> 0:04:01.360 read that I really liked. The Yankees game peaked at 0:04:01.400 --> 0:04:05.200 nine five pm with four point six million people watching. Yeah, 0:04:05.240 --> 0:04:08.760 because we get eight thousand people in our in our 0:04:08.840 --> 0:04:12.440 live stream watching like watching the game with us in 0:04:12.480 --> 0:04:14.960 the chat like, which isn't that most we've ever got? 0:04:15.000 --> 0:04:18.719 That We got nine nine and a half thousand for 0:04:18.800 --> 0:04:21.120 the Yankees Red Sox wild card game in twenty twenty one. 0:04:21.720 --> 0:04:24.320 But it's cool that we're seeing all these all these 0:04:24.440 --> 0:04:28.360 highs and good numbers and everywhere. The other note was 0:04:28.400 --> 0:04:35.040 that that the American League postseason American League is averaging 0:04:35.160 --> 0:04:38.000 three million viewers on the TNT Sports Network, up eighteen 0:04:38.040 --> 0:04:42.520 percent from last year's ALDS on Fox Sports Networks. The 0:04:42.600 --> 0:04:45.800 last time TBS carried the ALDS in twenty twenty two, 0:04:46.560 --> 0:04:49.480 which when the Yankees are in it. So, where's the 0:04:49.600 --> 0:04:52.640 article that I read that I liked there this Padres 0:04:52.680 --> 0:04:58.480 Dodgers has some really cool numbers. Now Padres Dodgers they 0:04:58.600 --> 0:05:05.640 flexed to put on so not cable but network television, 0:05:06.120 --> 0:05:08.560 which is always going to get more views. Still blows 0:05:08.560 --> 0:05:11.320 my mind. But yes, still gets more views because at 0:05:11.320 --> 0:05:12.720 this point, like you have TV, you have to how 0:05:12.720 --> 0:05:14.960 many people just have network don't have I don't know, 0:05:15.240 --> 0:05:19.080 reach out don't So I already said that that Game 0:05:19.120 --> 0:05:22.240 five average seven point two million viewers. But what I 0:05:22.320 --> 0:05:29.000 really liked, which is the largest divisional series since twenty 0:05:29.000 --> 0:05:35.719 seventeen which had seven point two six and the Mets 0:05:36.000 --> 0:05:40.640 Dodgers Game five and twenty fifteen at seven three eight. 0:05:40.720 --> 0:05:43.279 But where do where was the number that I they had, 0:05:43.320 --> 0:05:49.720 like the percent of TVs watch in the Padres area 0:05:51.200 --> 0:05:53.120 with this that I like to Game five was just 0:05:53.200 --> 0:05:56.440 the sixth division series window to air on the Fox 0:05:56.600 --> 0:06:00.880 broadcast network in the past sixteen years. It's a little 0:06:00.880 --> 0:06:03.640 bit of a bomber, right, like how do we get 0:06:03.680 --> 0:06:06.600 more games on network TV? Then you got to have 0:06:07.040 --> 0:06:10.919 be able to draw the audiences because it seems like 0:06:11.000 --> 0:06:16.239 you're getting way more viewers there, like way more. Fox 0:06:16.320 --> 0:06:19.239 was originally slated to carry the Mets Phillies Game three 0:06:19.279 --> 0:06:22.359 on Tuesday afternoon, but instead pitch Down will be on 0:06:22.440 --> 0:06:25.599 switching that game to FS one in favor of getting 0:06:25.600 --> 0:06:29.080 Game five, which I guess worked out well. But look 0:06:29.080 --> 0:06:32.400 at this prior to this year. The last time Fox 0:06:32.800 --> 0:06:37.120 carried a deciding LDS Game five was two thousand and five, 0:06:37.200 --> 0:06:40.880 when Monday Night Yankees Angels game averaged thirteen point seven million. 0:06:41.400 --> 0:06:44.960 I was at the peak of baseball, like stardom. You 0:06:45.040 --> 0:06:48.320 look back at those early two thousands. We did this 0:06:48.360 --> 0:06:50.760 in the office. We looked back at the early two thousands, 0:06:51.040 --> 0:06:55.440 like Cy Young. No, we were just doing top top 0:06:55.520 --> 0:06:59.560 finishers in innings pitched in the American League, National League, 0:06:59.560 --> 0:07:01.320 and looking at the names and like it was star 0:07:01.400 --> 0:07:05.280 studded and they were like ten year stars, like they 0:07:05.279 --> 0:07:08.320 were there for a long time. And comparing it now 0:07:09.080 --> 0:07:12.760 and like you have names like Sandy Alcantara, which is 0:07:12.800 --> 0:07:14.760 like he was nasty when he wanted to say young, 0:07:14.800 --> 0:07:19.560 but then he got hurt. Like there's not many pitchers. 0:07:19.680 --> 0:07:21.880 You know, Burns is getting there, but he hasn't been 0:07:21.880 --> 0:07:25.240 in a big market. Cole is the only one, the 0:07:25.320 --> 0:07:27.400 only one because Verlander was there. But it got hurt, 0:07:27.440 --> 0:07:34.200 but like ten year guys, premiere headline starting pitchers, and 0:07:34.240 --> 0:07:38.600 then the obviously you go to sixty seventies, eighties, you 0:07:38.680 --> 0:07:41.600 have a ton of them, but that that started dying. 0:07:41.600 --> 0:07:44.560 But in UH, I wonder if the early two thousands 0:07:44.680 --> 0:07:50.480 was where that falls. And that's my formative years, and 0:07:50.520 --> 0:07:54.679 everything seems bigger in your formative years, but that window 0:07:54.720 --> 0:07:58.080 seems good. Thirteen point seven million people watched the Divisional 0:07:58.160 --> 0:08:00.880 Series game in two thousand and five. He's Angels game. 0:08:01.000 --> 0:08:05.400 That is awesome. This was cool. San Diego led all 0:08:05.480 --> 0:08:09.520 markets Friday night with a nineteen point six rating and 0:08:09.640 --> 0:08:14.480 a fifty nine share. That means that fifty nine percent 0:08:14.560 --> 0:08:18.640 of homes using television were tuned to that game in 0:08:18.840 --> 0:08:24.640 San Diego market. That's so cool. That is like I 0:08:25.240 --> 0:08:31.040 did a walk around my neighborhood with the kids Monday night. No, 0:08:31.160 --> 0:08:34.679 it had to be Sunday night, and Sunday night at 0:08:34.720 --> 0:08:38.120 like seven thirty, and you can see all people's TVs 0:08:38.120 --> 0:08:40.720 in their windows now, so it's kind of interesting to see. 0:08:41.040 --> 0:08:44.360 And like seven out of ten had the football game 0:08:44.400 --> 0:08:48.520 on and I was like, damn, that's cool. Well, six 0:08:48.559 --> 0:08:50.880 out of ten in San Diego had the baseball game on. 0:08:51.000 --> 0:08:53.719 That's cool because that's you know, it's a good it's 0:08:53.720 --> 0:08:56.440 a big market, but not LA. But that's it really 0:08:56.480 --> 0:09:00.560 took over the city there LA, and that same game 0:09:01.200 --> 0:09:05.800 had forty one percent of LA. But or no, no, no, 0:09:05.559 --> 0:09:08.840 where's this. But eleven percent of homes in LA equals 0:09:08.840 --> 0:09:10.439 a far larger figure than twenty percent of homes in 0:09:10.480 --> 0:09:14.400 San Diego, is what they're saying. Kansas City was the 0:09:14.400 --> 0:09:17.359 top neutral market with a four point seven and fifteen, 0:09:17.480 --> 0:09:19.760 followed by New York City four ward six and fifteen 0:09:19.760 --> 0:09:23.280 in Saint Louis four point four and fourteen. So wait, 0:09:23.360 --> 0:09:30.080 Saint Louis, baseball town. They're watching the playoffs. They just 0:09:30.200 --> 0:09:34.040 like baseball. That's kind of cool. I'd like to know 0:09:34.080 --> 0:09:39.360 the list of cities watching that aren't in the postseason, 0:09:39.640 --> 0:09:41.800 Like it makes sense, Kansas City checking things out, they 0:09:41.800 --> 0:09:44.600 were still in it, New York obviously, Saint Louis. What 0:09:44.600 --> 0:09:47.800 other cities are watching that aren't there? That's kind of cool. 0:09:48.160 --> 0:09:57.040 So baseball's back. Baseball's back, and it's better than ever. Hey, no, hey, 0:09:58.120 --> 0:10:01.480 baseball's back. It is a conund about big markets versus 0:10:01.559 --> 0:10:05.400 small markets, and you want small markets and it's cool 0:10:05.400 --> 0:10:07.600 to have the underdog story. I think last year having 0:10:07.640 --> 0:10:13.040 two upstart teams Dot d Backs and Rangers and no 0:10:13.360 --> 0:10:15.720 like star Appeel, like who are the stars that like 0:10:16.160 --> 0:10:19.640 people knew they weren't learning about. It's always cool to 0:10:19.679 --> 0:10:21.920 have a team where you're learning new stars, but you 0:10:22.000 --> 0:10:25.480 need someone that everyone already knows. Who was that? Was 0:10:25.520 --> 0:10:30.280 it Cory Seeger? Was he the biggest one? I'm blanking 0:10:30.360 --> 0:10:32.520 There might be more that I'm not thinking of. I 0:10:32.600 --> 0:10:36.440 think you see the Longoria. Yeah, I don't there there's 0:10:36.480 --> 0:10:41.560 no pitchers. It's kind of a little bit of a conundrum. 0:10:41.600 --> 0:10:44.040 And more on big market small market later on. But 0:10:44.120 --> 0:10:45.439 the second thing I wanted to talk about I was 0:10:45.480 --> 0:10:48.880 reading this book. I was passing the time I was 0:10:49.000 --> 0:10:50.560 really reading it. I grabbed it off the shelf and 0:10:50.559 --> 0:10:53.040 then I flipped through the top and read the chapters, 0:10:53.080 --> 0:10:56.280 and then I saw the chapter where we're talking about 0:10:56.280 --> 0:10:58.880 a new stat and I love this is a second 0:10:58.920 --> 0:11:02.920 time I found like an article. One was in Baseball Digest. 0:11:02.960 --> 0:11:05.400 One was in a Collier magazine actually from like nineteen 0:11:05.480 --> 0:11:08.960 forty two, where they for his name he invented a 0:11:09.000 --> 0:11:11.199 new stat. And we actually have a Google sheet and 0:11:11.200 --> 0:11:12.880 we ran the whole algorithm of this stat It was 0:11:13.000 --> 0:11:15.080 very hard to do the way he invented it, but 0:11:16.120 --> 0:11:17.800 I planned on updating along the way, and then I 0:11:17.800 --> 0:11:20.480 never did. This one's a little easier. So this was 0:11:20.520 --> 0:11:23.400 I think this was in nineteen eighty one and it's 0:11:23.400 --> 0:11:27.880 an article written by Thomas Boswell. And people that are 0:11:27.920 --> 0:11:30.240 in the deep baseball stats world know about this because, 0:11:30.440 --> 0:11:33.760 like you can find articles about it. But it's called 0:11:34.800 --> 0:11:38.720 total average, where a walk is as good as a hit, 0:11:38.760 --> 0:11:40.600 which I disagree with, so I kind of don't like that. 0:11:40.600 --> 0:11:42.679 That's the main point of this stat. Let me see 0:11:42.679 --> 0:11:49.120 if I can bring this up Thomas Boswell, Welcome to 0:11:49.360 --> 0:11:51.960 the world of total average. You see, if I can 0:11:51.960 --> 0:11:54.839 bring it up in my computer for you see, there's 0:11:54.840 --> 0:12:00.320 a Wikipedia article article about it. Okay, here produce in 0:12:00.360 --> 0:12:02.559 nineteen seventy eight, my bad. It was also described in 0:12:02.559 --> 0:12:04.719 the nineteen eighty two article Welcome to the world with 0:12:04.800 --> 0:12:06.800 total Averager walker is going to shit? Is it still anywhere? 0:12:06.840 --> 0:12:08.439 Can you find this? Because we made our own sheet 0:12:08.480 --> 0:12:10.040 finding it, so I don't know if it's somewhere. Is 0:12:10.040 --> 0:12:12.920 design to measure a hitter's overall offensive contributions on the 0:12:12.960 --> 0:12:16.600 basis that all bases are created equal, which statisians don't 0:12:16.600 --> 0:12:21.320 really like, and statistans don't like that you're taking a 0:12:21.360 --> 0:12:23.439 stolen base and a hit and combine it. I don't care. 0:12:23.520 --> 0:12:26.040 I like this stat I'm sure it has flaws, but 0:12:26.080 --> 0:12:28.440 a lot of stats have flaws. And then the stats 0:12:28.800 --> 0:12:32.200 that I'm told don't have flaws, I'm too dumb to 0:12:32.280 --> 0:12:34.800 understand what they're doing, and I don't just like, man, 0:12:34.840 --> 0:12:36.800 I really can't get into war because I don't know 0:12:36.840 --> 0:12:40.080 what it is. I can't watch a guy play a 0:12:40.200 --> 0:12:42.280 series and then be like, ooh, that's going to increase 0:12:42.280 --> 0:12:44.400 his war by this much. I don't know the calculation, 0:12:44.720 --> 0:12:46.760 and that's like not fun for me to follow. Obviously, 0:12:47.280 --> 0:12:51.000 I respect war, and I understand that it's pretty accurate, 0:12:51.400 --> 0:12:54.600 although sometimes shortstops and base running are kind of like 0:12:54.679 --> 0:12:59.240 crazy weighted. But I like what I understand stats, and 0:12:59.280 --> 0:13:01.240 I can understand. I know, like I can watch a 0:13:01.280 --> 0:13:03.360 series and go, oh, yeah, that's gonna help. So what 0:13:03.400 --> 0:13:05.760 I like about this one? And I'll read from the 0:13:05.760 --> 0:13:08.520 book the article right here. He says in theory, total 0:13:08.559 --> 0:13:11.800 out average is elementary, easy and obvious. That's why it's 0:13:11.800 --> 0:13:15.600 so hard to dispute. In its results, TA is dramatic 0:13:15.720 --> 0:13:19.520 and controversial. It illuminates new stars like Ricky Henderson and 0:13:19.520 --> 0:13:22.640 Willie Randolph while blowing holes in big names like Steve 0:13:22.679 --> 0:13:25.640 Garvey and Pete Rose. Let's start with the theory. Now, 0:13:25.679 --> 0:13:28.000 I'm not gonna do that. Basically, what it boils down 0:13:28.000 --> 0:13:32.720 to is he's saying, take a player, how many bases 0:13:33.040 --> 0:13:35.680 does he collect? You hit a single, that's one base. 0:13:35.920 --> 0:13:37.880 You get a walk, that's one base. To get hit 0:13:37.880 --> 0:13:40.000 by pitch, that's one base. I think he's counting here 0:13:40.000 --> 0:13:45.959 by bitches, you steal that's one base, Okay, So how 0:13:46.000 --> 0:13:48.840 many total basses have you accumulated? Hit a home run 0:13:48.920 --> 0:13:53.960 that's four versus how many outs have you made? You 0:13:54.000 --> 0:13:56.800 try to steal and you get thrown out, that's an 0:13:56.800 --> 0:13:59.959 out that goes against you. Unlike batting average on base 0:14:00.480 --> 0:14:03.040 you know which I've always liked having that factor in 0:14:03.120 --> 0:14:06.720 because we always talk about ops plus opss where you 0:14:06.720 --> 0:14:08.959 have steals. So you single and a steal as good 0:14:08.960 --> 0:14:14.000 as a double because it is somewhat it's not going 0:14:14.040 --> 0:14:16.200 to drive in as many runs. So then there's that balance. 0:14:16.240 --> 0:14:19.160 I understand that do you hit into a double play well, 0:14:19.160 --> 0:14:21.760 that counts as two outs that you just hit into 0:14:22.000 --> 0:14:24.960 that you just recorded. That's your bad, which I'd love 0:14:25.120 --> 0:14:29.400 punished double plays. I'm sick of double plays. My Yankees 0:14:29.440 --> 0:14:32.480 hit into so many double plays. I hate it. So 0:14:32.520 --> 0:14:36.400 it's pretty basic in that regard. And then you just 0:14:36.400 --> 0:14:38.680 take all the bases divide it by the outs. So 0:14:38.720 --> 0:14:42.560 if you go one for four and you hit a 0:14:42.560 --> 0:14:47.360 home run calculator, that means that you have four bases. 0:14:47.920 --> 0:14:50.440 And because you hit a home run and then you 0:14:50.560 --> 0:14:57.240 got three outs, so you have a one point three 0:14:57.280 --> 0:15:00.000 to three more bases than outs. Is great. That's really good. 0:15:00.960 --> 0:15:10.160 So the guy who gets a double and another double, 0:15:10.760 --> 0:15:16.120 so two doubles, that is a four total bases. He 0:15:16.200 --> 0:15:22.040 goes two for four. Divide by two is one no 0:15:22.280 --> 0:15:28.040 two two. That's better. Two for four is better than 0:15:29.040 --> 0:15:31.200 one for four. One for the homer is better than 0:15:31.200 --> 0:15:35.800 two for four. With a double, you hit a double, 0:15:35.880 --> 0:15:38.080 you steal third, and then you steal home. That's the 0:15:38.080 --> 0:15:41.160 same as hitting a home run one for four. We 0:15:41.320 --> 0:15:44.840 put a sheet together. If I'm confusing you. Adults helped me. 0:15:45.160 --> 0:15:47.960 I wanted to see the playoffs. I wanted to see 0:15:48.000 --> 0:15:53.520 in the postseason. Who's crushing the stat. Let me pull 0:15:53.560 --> 0:15:58.720 it up. Uh. So this is just out of the 0:15:58.800 --> 0:16:04.480 last four team remaining thus far, who has been the 0:16:04.520 --> 0:16:09.560 best at total average? Okay, so who has contributed the most? 0:16:09.880 --> 0:16:14.280 Stephen Kwan is your man. Stephen Kwan is your guy. 0:16:14.400 --> 0:16:21.000 He has fifteen bases accumulated. All right, He's got two walks. 0:16:21.080 --> 0:16:23.640 That's two bases. He's got a stolen base that's three. 0:16:24.360 --> 0:16:28.960 He's got two doubles, so that would be four and 0:16:29.040 --> 0:16:31.080 ten singles is what it is and only ten outs. 0:16:31.080 --> 0:16:35.040 So yeah, he's got a total average of one point five, 0:16:35.800 --> 0:16:41.600 which really good. Uh. After that comes Pete Alonzo, then 0:16:41.800 --> 0:16:49.800 Mark Vientos, then Stanton and taoscar Rochio and Torres. There. Now, 0:16:49.800 --> 0:16:54.440 if you compare that to ops, we got Kwan, Alonso, Viento, 0:16:54.600 --> 0:16:59.240 stan Hernandez, Kuan Alonzo, Viento, Stan Hernandez. If I sort 0:16:59.280 --> 0:17:03.320 it by ops, it's gonna go to Vientos, Alonso, Kwan, 0:17:04.280 --> 0:17:10.639 Stanton Hernandez. So Kwan bumps up because of the steal 0:17:10.720 --> 0:17:16.320 and why because he's just less outs, Yeah, way less outs. 0:17:17.040 --> 0:17:19.120 Less that bats because he didn't do the wild card either, 0:17:20.040 --> 0:17:22.520 but he's just hitting the way less outs and in 0:17:22.560 --> 0:17:27.160 his hits, He's got more. Who's been the worst player 0:17:27.480 --> 0:17:37.960 according to total average this postseason? Big Christmas Tough thirteen outs, 0:17:38.000 --> 0:17:41.959 Austin Wells because he's got two double ground in double plays. 0:17:41.960 --> 0:17:45.680 That's extra outs. I really like punishing hitting in the 0:17:45.720 --> 0:17:48.960 double plays for Dugo this season. It probably gets crushed 0:17:48.960 --> 0:17:54.400 for that. Jazz Chisholm, bad Tyrone Taylor, Jose Glaciers, Josh Naylor, Verdugo, 0:17:55.359 --> 0:18:03.240 Jash Chisholm adds up. The worst OPS has also Big Christmas, 0:18:03.280 --> 0:18:08.560 but Francisco Alvarez, so it's pretty close to Ops. There's 0:18:08.560 --> 0:18:13.879 some difference. We also did it the whole year, total 0:18:13.960 --> 0:18:16.240 regular season, with a minimum of four hundred and fifty 0:18:16.240 --> 0:18:21.800 plate appearances. So the highest total average here is Judge 0:18:22.359 --> 0:18:26.080 one point three five seven and then Otani one point 0:18:26.119 --> 0:18:30.359 two three to two. Settled debate over who had the 0:18:30.400 --> 0:18:36.400 better season, it was Judge. Offensively, it's final. It's final. 0:18:36.800 --> 0:18:45.280 That's awesome. I can't believe we've solved it with total average. Judge, Otani, Sodo, 0:18:45.359 --> 0:18:48.280 Bobby Wit, Jordon Alvarez. That's the top five in total 0:18:48.320 --> 0:18:52.760 average in that order. Judge, Otani, Sodo, Wit, Alvarez. Let's 0:18:52.760 --> 0:18:57.840 see Ops goes judge Otani Sodo wit Alvarez. Is that 0:18:57.920 --> 0:19:11.080 the same thing Otani Alvarez blanking Sodo wit Alvarez is 0:19:11.119 --> 0:19:15.720 ops three for five Sodo wit Alvarez and total average 0:19:16.200 --> 0:19:17.920 Sodo wit Albaz. So that doesn't change it at all. 0:19:18.280 --> 0:19:20.760 So I color coded these over here to see you 0:19:20.800 --> 0:19:24.400 know who gets boosted and who gets hurt. And this 0:19:24.440 --> 0:19:29.720 guy is below average in ops this year it's seven 0:19:29.720 --> 0:19:32.359 to ten average OPS out of these players with seven 0:19:32.480 --> 0:19:35.280 fifty two. If you had five hundred or four hundred 0:19:35.280 --> 0:19:39.040 and fifty played appearances, the average OPS was seven fifty two. Uh, 0:19:39.200 --> 0:19:43.520 the average total average was seven twenty four. And then 0:19:43.560 --> 0:19:51.600 that guy that I found, So he's above average, he's 0:19:51.640 --> 0:19:54.720 above average in total average seven forty four, but below 0:19:54.760 --> 0:19:57.200 average and ops. So you would think this gotta be 0:19:57.240 --> 0:19:59.240 a base runner, right, has got to be a guy 0:19:59.240 --> 0:20:04.640 that steals a decent amount. And it is sliding over dramatically. 0:20:05.280 --> 0:20:14.119 It is it is Cedric Mullins. Hell, yeah, where do 0:20:14.119 --> 0:20:22.880 you go, Cedric? Why stolen bases thirty two grounded into 0:20:22.880 --> 0:20:26.320 double plays? One that is valuable? I do think that's 0:20:26.359 --> 0:20:28.520 like an offensive game. I don't know why base running 0:20:28.560 --> 0:20:33.800 is so so disconnected from all their offensive stats. I 0:20:33.840 --> 0:20:36.040 feel like we should sort that out. I don't id 0:20:36.119 --> 0:20:40.320 and like base running has its own metric. I don't 0:20:40.400 --> 0:20:45.360 like like as far as solo base running with avoiding 0:20:45.400 --> 0:20:48.160 grounding into double play, hitting in the double plays because 0:20:48.200 --> 0:20:51.880 you're slow stealing bases, getting caught stealing, getting picked off. 0:20:51.920 --> 0:20:55.560 Those are solo base running. Now there's other base running 0:20:55.560 --> 0:20:57.399 that's going first to third on a single, but that 0:20:57.520 --> 0:21:00.360 depends on the type of single. So I that's too 0:21:00.359 --> 0:21:03.160 many outliers, But solo basement, I just make it part 0:21:03.160 --> 0:21:05.880 of your average and figure that out in some way. 0:21:06.400 --> 0:21:09.360 I wish we could do that, because, like, dude, stealing 0:21:09.400 --> 0:21:12.400 thirty two bags and not grounding in any double plays 0:21:12.600 --> 0:21:16.760 is beneficial. And you go down to the very bottom 0:21:16.760 --> 0:21:20.280 of this list where I'm guessing Verdugo's gonna be down there. Okay, yeah, 0:21:20.320 --> 0:21:28.920 Verdugo's right here, and Verdugo stole two bags and grounded 0:21:28.960 --> 0:21:32.040 into fourteen double plays. Yeah, so look at this this 0:21:32.160 --> 0:21:36.760 bottom down here, it's just double play dudes. So that's 0:21:37.160 --> 0:21:40.119 double plays really hurt you. If you are this runner 0:21:40.119 --> 0:21:43.239 on first and you hit a ground ball and you 0:21:43.280 --> 0:21:46.760 can't beat it out, you're gonna get burnt, which I 0:21:46.800 --> 0:21:51.119 think I appreciate and value you got. Who hit in 0:21:51.160 --> 0:21:56.120 the most ground double plays this year? Wow, Manny Machado, 0:21:56.359 --> 0:21:59.280 So it's not hurting him. Aaron Judge hitting to the 0:21:59.320 --> 0:22:02.440 third most not hurting him, But he's got ten stolen bases, 0:22:02.480 --> 0:22:05.440 also doesn't get out that much. Who got picked off 0:22:05.480 --> 0:22:10.560 the most this year? Caby Row those rays, Bobby Wick 0:22:10.560 --> 0:22:13.640 got picked off a lot. Those rays are in a ton. 0:22:16.400 --> 0:22:21.000 Uh who else? There's another outlier that was above average 0:22:21.000 --> 0:22:24.919 and total average but below average this sky nemo mean, 0:22:25.040 --> 0:22:28.200 same thing. Only fifteen stolen bases, seven grinding and double plays. 0:22:28.200 --> 0:22:39.960 That's interesting. What helps him? There? Seventy seven walks, nine triples, 0:22:41.280 --> 0:22:45.680 but that should all be part of slugging. I don't 0:22:45.680 --> 0:22:53.920 know who recorded the most, so wait, where's our line here? 0:22:54.080 --> 0:22:58.600 This is? This is outs, grinding, double plays, caught stealing combined. 0:22:59.280 --> 0:23:04.600 So who had the most out Simeon then uh Tovar, 0:23:04.720 --> 0:23:10.080 then Volpi damn Volpi. Well it was bad season, bad season, 0:23:10.200 --> 0:23:16.040 bad season, brochures bird bird season. That's total average. Yeah, 0:23:16.160 --> 0:23:17.600 let's see what else we can do with it. You know, 0:23:17.600 --> 0:23:20.760 if you guys see something, let me know. But I 0:23:20.880 --> 0:23:22.760 like I have a lot of I bought on eBay. 0:23:22.800 --> 0:23:25.720 I bought a lot, just a lot of old baseball books. 0:23:25.760 --> 0:23:27.439 A lot of them like are just like this, like 0:23:27.560 --> 0:23:34.280 articles that are like combined in the books. And uh, 0:23:34.640 --> 0:23:36.560 I don't know if I'll ever have time to read them, 0:23:36.840 --> 0:23:39.840 but I enjoy it all right. The last thing I'm 0:23:39.840 --> 0:23:46.080 gonna talk about on read it was that, right, I 0:23:46.119 --> 0:23:48.080 saw this on reading but it's every kind of where 0:23:48.200 --> 0:23:56.560 Manny Ramirez had a quote that pissed everyone off. Manny 0:23:56.640 --> 0:24:06.600 Ramirez said, head this quote. It's in Spanish, so I'm 0:24:06.600 --> 0:24:08.159 not gonna play it. I'll just read it for you. 0:24:10.920 --> 0:24:15.119 There's a translation on this reddit thread, and everyone in 0:24:15.160 --> 0:24:18.119 the reddit thread is really mad. And if you're not 0:24:18.160 --> 0:24:20.240 a fan of a big market teams's gonna be really mad. 0:24:21.200 --> 0:24:27.160 Manny Ramirez said, after you leave Boston, the Yankees, the Mets, Philadelphia, 0:24:27.240 --> 0:24:30.120 the Dodgers, everything after that is as if you were 0:24:30.119 --> 0:24:33.680 playing Triple A. I'm talking about top five organizations that 0:24:33.760 --> 0:24:35.720 have a lot of history, a lot of records. After that, 0:24:36.160 --> 0:24:39.159 what you're doing is playing Triple A. Whoever hasn't played 0:24:39.160 --> 0:24:41.320 for one of these five teams, what you're playing is 0:24:41.359 --> 0:24:44.800 Triple A. There's no pressure, there's no marketing, and there's 0:24:44.800 --> 0:24:47.200 no demand that you win. You go to the Marlins, 0:24:47.320 --> 0:24:49.680 it's not the same. You go to Kansas City, it's 0:24:49.720 --> 0:24:52.200 not the same. You go to Minnesota, it's not the same. 0:24:52.320 --> 0:24:55.360 You go to Toronto, it's not the same. These five are 0:24:55.359 --> 0:24:59.240 the organizations where baseball's played. So people are mad. People 0:24:59.320 --> 0:25:04.480 are mad. A lot of the comments in here we're like, oh, 0:25:04.480 --> 0:25:07.000 pretty impressive, so you staying last twenty four World series 0:25:07.040 --> 0:25:11.399 are won by Triple A teams. Oh congrats Rangers on 0:25:11.440 --> 0:25:13.119 your Triple A World Series. But that's not really what 0:25:13.119 --> 0:25:16.120 he's saying. I guess I know I understand what he's 0:25:16.119 --> 0:25:18.359 saying because a lot of like CC Sabbatha used to 0:25:18.400 --> 0:25:20.040 say this all the time, and I think Mike Harkey 0:25:20.080 --> 0:25:22.920 had a quote about it on the rt C two 0:25:22.960 --> 0:25:27.680 podcast where CEC would be like, man, until like when 0:25:27.680 --> 0:25:29.960 I got to the Yankees, I finally I finally felt 0:25:29.960 --> 0:25:32.560 like a big leaguer. And he's talking about all that 0:25:32.720 --> 0:25:35.480 extra shit, like the promo and the marketing that comes 0:25:35.480 --> 0:25:38.280 from the and the media scrumbs like you see in 0:25:38.280 --> 0:25:40.639 the movies of like you know, fifteen people at your 0:25:40.680 --> 0:25:45.760