VSiN Coast to Coast Hoops: The College Basketball Betting PodcastGreg lends thoughts on the sudden passing of South Florida Coach Amir Abdur-Rahim, the suspension of Lynn Greer at Temples, & talks to Erik Haslam of Haslametrics.com about how he created his model, coming up with the idea of #analyticallyfinal, & team’s his model is higher/lower on than most this season
Twitter/X link to the list of all 31 conference preview podcasts: https://x.com/GUnit_81/status/1844852295789682913
Podcast Highlights
3:30-RIP Amir Abdur-Rahim
5:44-Lynn Greer’s Suspension at Temple
15:00-Interview with Erik Haslam
Betting on sports can be rded, but hiring Morgan and Morgan is easy. Morgan and Morgan is America's largest injury firm. They have over one hundred offices nationwide and more than one thousand lawyers. Their fee is free until they win. Find out more information at for the people dot com slash best bets or dial pound law that is pound five to nine from your cell phone and that is four fo r the people dot com slash best Bets. This is a paid advertisement.
Hey, former part.
Of Amor, Welcome from Appleton, Wisconsin.
We actually got it correct for cousin Gussieps with myself, GREGB. Speeders and now part of the Vison Family podcast. We've got a great podcast for you as coming up in segment number two, we're going to be talking to one of the best sad decisions out there in college basketball, Eric Haslam. He is the man that runs Hasla Metrics. We're gonna be talking to him about a wide variety of different things. I's been tweaking his model over the last few years with the advent of one hundred million billion transfers in the portal. We're gonna be chatting with them as well about some of the teams that his model might be a little bit more bullish on than others. We're gonna be talking about how he grades games that are analytically final as well as I know that that's been a big thing of his as well. We're gonna be just taking a look at all the different things that go into his model, how he's got, the projections that he's got, and take a look forward to the upcoming season. So that's gonna be a fun one here in SEGMA. Number one. We did get a little bit of grim news out there in college basketball, very very sad what we did see on Thursday. And we're gonna give you guys the low down there. And I'm not gonna dive too far into the outlook for Self Florida and tell about a day or two from now, just because with South Florida, I mean, I'm gonna call it what it is. Amir Abdul Raheem dies very suddenly at the age of forty three. You wish him, his family, his teammates, absolutely nothing but the best. You can love Self Florida, you can hate soeulth Florida, you can do anything like that. This is not what we want to see it like this is just absolutely terrible. You try to maybe beat a rival out there on the court, you never want to see this. Hopefully everyone that enjoys college basketball can come together and just wish absolutely nothing but the best of those young men on that self for a team, absolutely nothing but the best to Abdua Raheem, his family, everything like that, because this is just exactly what you don't want to see, to say least. But what we do want to see on this podcast is you guys chime in with what you want me to provide to get you step for the upcoming season. We've done a conference preview for all thirty one of these conferences, and I've been posting up my red ups on the old Twitter slash x for all these scenes as well. So yeah, you guys all set there, But do let me know if I can do anything further for you guys. If you have a question, comment, segment, idea, what have you for this podcast? You have one of two ways me belt for those in first one is my Twitter slash x timeline at gen n Underscorty one. Keep in mind larns them maybe does not matter, so as pretty usual, please send these into the timeline, and the other way is find an Apple podcast review if you rate this podcast five starts and is very much appreciated. From there here about fire and whatever you'd like to hear on this podcast via that five starve you and not get in any Twitter slash x questions. But in regards to those conference previous as well, if you're listening on Apple Podcasts, Spotify, just wherever you're getting your podcast on the playlist, you're gonna find all these conference previous scattered in. And I made it a little bit easier with the Twitter slash x league that you're seeing in the show notes in the description, I've got all the conference previews with the Apple podcast link in alphabetic quarter. So if you're looking for a little bit more information on the AMI, SUN, the Big Ten, the SEC, whatever conference you desire, we've got you guys all covered there. And we desire for a fewer tragic stories moving forward than the one that we did see on Thursday with Abdul Raheem sadly passing away. I don't think that as of right now, South Florida is named an interim coach like this is something that nobody could have seen coming. This is to a case where you just hope that these guys are able to have a big season as a result, that it's a little bit of a rallying cry for them because they absolutely deserve it. But no doubt about it. I think that I thought that our mier Abdul Raheem was one of the better up and coming coaches in all of college pasts. South Florida was the top five team against the spread in college basketball last year. They were one of the biggest surprises in all of college basketball last season as well. He was really doing a great job with his team. They lost a few pieces from last season, but they were able to maintain quite a bit of that backcourt. I thought that Alf Florida probably wasn't going to be able to maintain the twenty four plus wins that they were able to get last season, but thought that they were still going to be rock solid out in the American this season. This is just a gut punch, both in terms of humanity in terms of that along with just in general the self Flora program. You wish him absolutely nothing but the best. We shall see where they go moving forward. In terms of their interim coach, I am unsure of it, but that's the main thing that I got for you guys. I certainly will be following up in the future days in terms of what when we get a little bit more information on this. But this happened very very sumly on Thursday, late afternoon, early evening, depending upon where you are, and just very very tough to see news like this. And then when it comes to the Temple Owls and we give our ow delayn Kit and go Owels. They were a team that was very bullshown on the American coming into the season as well, because they made the AAC Conference final last season after they were off to a very rough start to say the least. But you've got one of the main guys for the seam, Lynn Greer, who he's transferring in from the Atlantic ten. He was over at Saint Joe's last season and he's one of the team's main facilitators. About eleven points, four and a half boards free in emphasis. Not a great three point shooter, but very much a stats she suffer for the team a season ago. He is going to be suspended until December, and I'm not sure of the exact date because we also know that there was an assistant that was suspended with him as well, by the name of Chris Clark. His suspension is going to be going until December eleventh. Apparently the investigigations are ongoing and they are unrelated to the gambling investigation, so they made sure to say that this was not a part of that gambling scandal, which right after that, that's when Temple was really able to go on a bounds I charge. So I thought that that was very interesting. So I do think that Temple is going to be a little bit down to begin the season when they're without lend Greer. It sounds like he's not going to be suspended for the entirety of this season, but something that you do want to monitor, because the exact quote is that they're going to be welcoming back in December. Sometimes the suspensions they linger a little bit longer, and sometimes you just don't know what you're gonna get there. But I still do think that there's quite a bit of upside for a Temple as well. They bring in Jamal Mashburn Junior last season over at New Mexico wasn't necessarily the most efficient scorer, but he's a guy that's able to give you north of fifteen points per contest. We really saw that on display two seasons ago. So I think that he is going to be able to step up and he's going to be able to help this seam out for the time being, not necessarily overly much a facilitator, but I would have to think that if you need him to do a little bit of facilitating, he's going to be able to do. So you, on top of that, do have someone in like Sene Dezoni who's got nice versatility. He's able to pop him from three point range. Matato Piccarelli is a nice off the ball three point shooter. And this is now season number two for this bunch under the Nam Fishers team as well. You may recall you as an assistant over at Penn State, a disciple of all that we were seeing with Mikeah Shrewsbury, and it feels like he's really got that roster that he desires. He brought in Jimmy O. Brown, who began his career over at Penn State with him as well, so I think that that's going to be big. And Elijah Gray is someone that should be able to help out a little bit downlow coming in from Fordham as well and bring back some like a Steve Settle as size. He's able to pop it from three point range. To go along with a Temple team that was eight and seventeen to start the year last year eight and three to end the season. I do think that there's still quite a bit of upside here, but not having Greer out there, do have to wonder who's going to be bringing up the ball. I think that you see a little bit of more Mashburn on the ball after he was able to go out north of two assists per contest two seasons ago over in New Mexico. So that's what we saw in college basketball on Thursday and coming next. How about if we go with some Haslm metrics Sreic Haslm. He's one of the best set assisions out there in college basketball, does an amazing job covering this great game. We're going to be diving into his model some of the teams that he's bullish and bearishan and so much more. Next great here because becausey with myself, Gregistet is a mount Bart de deeson Deadlely vodcasts Every rank youm on me buss Vegas for us becausey with myself greigigs Peterson now part the Vson Family Podcast and keep doing that. I'm out here in Lovely Wisconsin for the weekend. That's where we find this man, Eric Haslam. He does a great job over at haslometrics dot com. He is one of the best SAT decisions that you're gonna find out they're in college basketball. He is a man that is the founder of hashtag analytically Final. We're going to dive into that and so much more as to be able to follow Eric and all of his great workover on the old Twitter slash tecks as at haslometrics that is h A S L A M and then the word metrics which the M does transfer over there so e at t R I C S all together and then for his website haslometrics dot com. So same thing that I just felt out on the Twitter slash cks handle And it's always great to have you aboard. Eric, thank you so much for me.
Hey, thanks for having me.
Thank you for being a part of this and Eric per since first, just how did you come about to be able to develop the model that you had, because you've now been doing this for about ten years in college basketball. I've been lucky enough to be able to witness your rise in terms of what you've been able to do in terms of your college basketball. Just model the way that things have been able to come about, and just want to get a little bit of just what makes the it model so great and how you've been able to just refine it over the years as well.
Yeah, when I wanted to start, you know, years ago, I mean even long after Ken Palm or he started releasing his stuff, I kind of wanted to come to my own conclusions. I had a background in computer science, I have and left the engineering degree, and I kind of wanted to I did not want to rely on anybody else telling me how good or how bad any particular one team was. I wanted to see, sort to speak, how the sausage was made. So I kind of said, well, I have the background, I know the website experience, I know SQL server, I know all these different languages, all these different scripting languages, and I just started kind of building. It was a big passion of mine about eight nine years ago, especially when I was probably the peak of my passion. It was one of those things you know, drives home, you know, being in the shower or something like that, just little ideas I'm going to add this to it. And I just had the background for it, and I knew exactly what I wanted to do and how I wanted to do it, and it was probably a little bit different, not really using the four factors that so many analytics experts use. I kind of wanted to do my own things, so I kind of drew it out my mind, and then it just kind of slowly time over time, you know, came to fruition, and as time goes along, you find little things in there and you're like, oh, I need to adjust for this, and I need to adjust for that. And the great part is now after about ten years of this, now it is a lot of fine tuning. The heavy lifting, so to speak, has been done, you know, over the first you know, three or four years of this, but now it's just little tweaking here and there and kind of adding little things that gamblers might look at and find some value in from one year to the next.
Absolutely, like I know you are the founder of hash egg. Analytically final, you try to cut out some of the statistics that we see when a game goes final, like when a team is down thy points of the five minutes remaining, they go on that nice ten to two run to end the game. That's something that is not going to be cracking their report, and that's not going to be cracking really what you take a look at any game. So just take me through how analytically Final does work because it depends upon the timing of the game and the overall margin.
Yeah, it's an offshoot of what Bill James created. When I designed Hassle Metrics, one of the first things I wanted to do was I saw these situations that you just talked about where a team was up thirty and all of a sudden, what happens when they win that game by about thirteen. Now, all of a sudden, it doesn't look like such a convincing win. I wanted to restore the impact of that win, of that performance. So I looked around and Bill James had something very similar to analytically Final, where he kind of came up with his own little algorithm, most very simple. Then I looked at it and I kind of thought he was kind of cutting it a little bit too close, and I wanted to kind of include more game data the way The metaphor I like to use is when you win one hundred meter dash in the Olympics, you don't stop at meter number one hundred and one. You know, once you've won the race, still going fairly fast for another ten to fifteen to twenty meters. That's kind of the way I wanted to treat analytically. Final. A game might be over when the lead is I don't know, thirty at halftime, but at that point you're still not one hundred percent sure, and I want to make sure it's absolutely one hundred percent final, And that was the idea around it. I want to still kind of give value to that point in the game, even though you're up thirty, because at that point there's a lot of these teams are still had their starters and they're still playing hard. But at the same time, I did not want to include all that garbage time stuff, especially in those games when the lead is thirty with fifteen minutes to play and it's still thirty with five minutes to play, I don't care about that last three, four, five minutes because at that point the game is decided, and I really don't want to evaluate the team in that state. At that point a coach has taken his best players out. I'm not looking to evaluate a team's tenth, eleventh, twelve, thirteenth best players. I'm looking to evaluate their best five. And with analytically Final it allows me to do that.
Yep. Absolutely, And as we know, injuries are part of the game. But if a team is on guy number twelve guy number thirteen, probably not going to be going well for them. As Eric Haslom, the founder of Haslo Metrics, joining me right here on costco soups in for those that do check out his Twitter Sashak Sandel as well, I know that he's currently got pinned up right now. The earliest hashtag analymically Final games as well over last decade, the old Savannah SAP versus South Dakota State is actually number one. That game in twenty eighteen where South Dakota State put up seventy five points of less than sixteen minutes to start out the game that turned out to be number one, and I actually remember that game quite fun, Lisa. That gave me a little bit of a chuckle there. But in terms of turning it forward to this year, have there been any tweaks that have been made to the model because, as we know, once again a record amount of transfers this college basketball offseason, and we've been seeing a lot of coaching turnover this offseason as well.
Yeah, you know, not a whole lot as far as tweaks go. I mean, there's a kind of two parts to everything. There's the preseason baselines and then there's the in season algorithm. When it came to the preseason base lines, I did make a slight change just to kind of better retain or discard team prestige from the previous season based on the percentage of returning player points in minutes. That's something I actually kind of tweaked a little bit last year as well. It was kind of the Florida Atlantic rule from last year. Florida Atlantic coming into last year not exactly a team that really had a lot of prestige going back ten fifteen years, but all of a sudden, this is a team that got really hot, had a lot of great players coming into last season. I kind of made that change. I kind of went the opposite way this year and kind of relied on older prestige and situations like maybe a Kentucky or an Arkansas where they're really kind of had a bad year last year, and they're starting over fresh a team that had historically had really good prestige but all of a sudden really had a down era. I made that adjustment as far as the preseason baselines, as far as the in season algorithm goes, I made a slight change to the daily results algorithm to lessen the impact of performances with an extremely early analytically final point in the game. And this is kind of I guess you could almost call it the Byu rule. One of the reasons that Byu actually I think made it to number one in my ratings at one point last year is sometime in December, because what they were doing is they were absolutely blowing out teams wing near the bottom of the rankings, and that's how they got up there. And I kind of want to look at that and said, Okay, that's a little bit of a false positive. I even backed it off a little bit before last year. I backed it off even more this year. So in those situations when you have a very early analytically final point, that will have less waiting in my algorithm this year.
And I think that that is so well said there as well, because we have seen some of these teams just schedule oh so differently, like A and Kai that is from our neck in the woods, NATO, it's over at Alabama. He actually began his coaching career over at UW Waywater. In places like that, he always schedules a murderer's rogue. You know that Alabama is always going to be playing the best of the best. Meanwhile, we see like every single year and feels like there's one or two of those ACC schools that they played cream Puff after cream Puff, they wonder why they get left out of the NCAA tournament despite winning twenty two plus games and any they strength of schedule outside the conference of north of three and thirty And how do you take a look at those two different teams, you guys, A five point loss to say Houston is much different than saying, ay having a three point win over your insert bad major team here.
Oh absolutely, And that's where like one of the things you can see on my side, they click on any team there. You can't see it this year yet, but obviously go to last year. You can see game ratings and there's times when you might have a team that if you're in the top ten, and you're playing a team that's in the bottom ten and you beat that team by nine points. That's a nine point win. Sure, but I guarantee you the game rating that I assess you is probably going to be pretty terrible because the expectation is going to be if you're a top ten team playing a bottom ten team, you probably should win that game by about thirty five. So if you're winning that game by nine, your game rating is going to be poor. You're going to drop in my rankings. That's the idea is the game and ratings are all about the evaluation versus the expectation. You come into the game with an expectation and you either meet or you do not meet that expectation. If you can't meet that or surpassed the expectation, you were going to follow my rings because if you're going to play those bottom feeders, you better beat the Bejesus out of them. I mean, that's one of the things to their credit last year, b why you did rise in the rankings, and they did take down a lot of I don't even say bad teams. They took away some just average teams and beat them by thirty or thirty five points. But at that point a lot of questions came up. Were they legit? They were a fairly good team, but they weren't as good as the early season results made them look out to be.
Yep, I think that that is so very well said, and I do think that that's so important to be keeping in mind as well. Not all these wins and not all these losses are created the same as Eric haslm, who does great work over at Aslemetrics dot com as joined to me on Costco Seepsan, I do want to ask you about this as well, because you're very much a numbers guy when it comes to your website, everything that you do, it goes through an algorithm, and I want to give your thoughts on something that we did see over the last week with Tony Bennett stepping down over at Virginia. As we know, Virginia had won the most tried and true slow styles in all of college bass Buty, I know that sometimes you give teams like a speed rating for the upcoming game, and then you'll give tortoises to teams that we've very slow. You always give the maximum amount of tortoises. Whenever Virginia was out there, and I very much appreciated that. But how does that affect the way that your model does Great Virginia if anything at all, Because I do think that it's just a very strange situation when you see a coach step down less than three weeks before the start of the season, and I do think that trying to gauge this Virginia team is going to be very difficult for all involved.
Yeah, so I do factor in coaching changes, but to the degree of how the coaching change happens, it's really hard to do it because, and this is part of the problem with preseason baselines is like during the season, we can do everything from an objective standpoint, because you're using game results. Coming into the season, you don't have those game results, so you have to a lot of times rely on subjective input. A great example is the ratings at twenty four to seven Sports, the recruiting rankings. If you're going to look at those, those are experts putting their eyes on the recruits and giving them a rating. And if you're going to use that, okay, that's kind of a posits. So it's kind of objective, but at the same time not so much as well because it's nothing. It's someone giving their own independent evaluation. A great example at the Tony Bennett situation. Yes, it's going to go into my system as a coaching change, and one not for the better, But you know, how much weight do you put on it?
I mean?
And there's the problem is, like I said, there's so many different types of coaching changes. There's dismissals, there's people moving on to different jobs, you know, and then how big of a jump do you give them? A great example going from Kenny Paine to Pat Kelsey, a lot of people will say that's going to be an absolute game changer for Louisville. You know, how do you make that a tangible metric? That's really a trick to do. I mean, Kenny Paine went fifty eight and twelve in his last two years at college at Charleston. Forty seven and twelve was his last two years at Winthrop. Kenny Paine was twelve and fifty two and his two years at Louisville. You can use those numbers, but it goes well beyond that.
You know.
A great example is a guy like Andy Enfield leaves a job at USC now he left on his own accord and he's filled in by Eric Musselman. A lot of people will look at that and go, that's going to be a big boost or is it? I mean, that's the question. It's really hard to evaluate and put a tangible number on a lot of these changes. And now we saw that Amira Abdur Raheem tragically passes away for South Florida, that's gonna be another example. How does a team respond as a result of a coaching switch like that. It's really hard to do from one situation to the next.
Yep, that was very somber news that we saw on Thursday. Wish absolutely nothing but the best, just South Florida, the teammates, the friends, family, what have you Admitster Abdullah Raheem. That is absolutely what you don't want to be seeing. But at the same time as well, in the coming days, I'm going to need to reevaluate South Florida when they decide who's going to be their interim coach, how they're going to be going about that as well as Eric Haslam, who does such great work over at Asle Metrics, is joining to be on costco Seep. Sam, I'm so glad that you were bringing up Louisville there in passing, because with Louisville they underwent about as much change as you can imagine in college basketball. They don't bring back a single guy that scored a single point for them, They've got all new players via the transfer portal, they've got a whole new coach. How do you evaluate a team like that? Because personally, I don't think that there's any sort of a right answer. Because you've got literally one hundred percent of the program being brands, banking new other than the name on the front of the jersey. It makes it very difficult. So how do you go about trying to, let's call what it is, try to be able to make the impossible possible with grading out a team like that.
Yeah, and that's kind of one of the changes that I made, one of the preseason baseline changes that I made about kind of looking at the returning points in minutes and then in those situations kind of looking back a little bit further as opposed to looking at like say last year or the year before that. The problem is, and there's no real great way around that, is that at some point you've got to have some sort of cutoff of like what do you want to use for program prestige? Do you use three years? Do you use four years, five years? Do you use ten years or fifteen years? For me, I like to just kind of fall back on three years. But when you see what was done during those two years under Kenny Payne, it really paints a really, really ugly picture for Louisville. So as a result, you know, I kind of look at this and say, is Louisville better than the placement that I have them? I think I have him at number one hundred and five. I look at that and go, they're probably better than one hundred and five, And a lot of people are looking and say they're probably a top forty team might say I understand that. When it comes to these preseason baselines, it's a little bit like the example I like to use is like the NFL Pro Bowl. They always said that an upstart like rookie who probably deserved to be there, won't be there until maybe his second or third year. And then the guy who's well past his prime, you know, in his fifteenth or sixteenth year, although he has fallen off in play, he probably will still make the team and he probably shouldn't be there it's kind of a little bit like that. Louisville is probably going to be better. Obviously, you look at the talent on the roster, you look at the new coach, they're better than one hundred and fifth. But at the same time, when you look at the analytics and the preseason baseline using a three year prestige, and you try to look at it but objectively, of course, the algorithm is going to come back being conservative and as a result, it's going to be very hesitant about shooting Louisville up into the top fifty. And that's why fall as low as they are, I expect them to be higher. That's where you put your eyes on the product and you can say, Okay, the analytics say this, and I can understand where they're getting it from. But at the same time, you got to use your eyes in the ears. And I think Louisville's better than one of five.
Yeah, absolutely, And I think that with Louisville they are going to be such an interesting case study as well, because when we do have these teams that are brand new like they are, sometimes it works out tremendously and sometimes it works out tremendously awful as well. And that's some of the pain with it all, and that's some of the fun of it all. And Eric, I know that you've got your model all ready to go for the upcoming season. And I know that Louisville is one team that you just mentioned that you're a little bit more down on than most. We're a few other teams that you've noticed that perhaps your model either likes them a little bit more than what you've been seeing from a lot of other people, whether that be other models, whether that be just email pulls, what have you, or a few other teams that you might be a little bit more bearish on in terms of your model for the upcoming season.
Well, very much like Louisville, I think a team that probably deserves better is probably going to be Arkansas. Arkansas is I think rated in the sixties for me, and that makes it again, very similar to the situation with Louisville. They were one hundred and ninth last year sixteen and seventeen, and this year they bring in a great recruiting class, three five stars. You know, will that translate to immediate success? You know, doesn't necessarily mean it will. Think Michigan State. Last year I came in the season. I think I had them at eighteen come into the season. A lot of people thought I was crazy. They ended up seventeenth at the end of the year. They do bring in a lot of different pieces. DJ Wagner and a du Thero from Kentucky, Nellie Davis from Florida, Atlanta, Joonas that you do from Tennessee. A lot of great pieces there. But I still have my concerns with cal Pari and his defense going to be an issue with this team. I still think they're better than sixty fifth, but hard to say at this point if that they could potentially flop, I don't think so, but it's a possibility. As far as the other way goes, Illinois is still in my top twenty five. I don't know if i'd buy that. They feel a little bit like UCLA last year. Remember UCLA kind of had that three year prestige coming into last year. The previous three years they were fifteenth, eleventh, and seconds, but then they lose Haimi Hakez, Tiger Campbell, Jalen Clark, and Muri Bailey David Single. Kind of same situation with Illinois. Really good prestige the last three years when all of a sudden, you lose Terren Shannon, Marcus Damas, Coleman Hawkins, Dan Dan Angel Do Goody, and this is gonna be a completely different team. I think Illinois is as highly rated as they are because of prestige, and similarly, I think Villanova is probably a little bit the same way. I might consider Villanova though a little bit of a sleeper. And I say this because Kyle Neptune gives a lot of criticism because he's just thirty five and thirty three over his last two seasons, but he did finish twenty ninth and twenty sixth in my rankings last two seasons. It's kind of a modern day Penn State. If you remember Penn State from like twenty eighteen. In twenty nineteen, they were always rated like thirty second in my rankings even though they were like fourteen and nineteen, because they were competitive versus elite competition, and that's kind of what Villanova has always been. They bring back Eric Dixon, they have Jordan Lanngino back you ad Wuga Poplar and Jamiir Brickis. Some shooters on that team they might actually overperform. I'm curious to see if Villanova can deliver this year because a lot of people think that Kyle Neptune is really on the hot seat.
Now and here that as well, there's always those like two or three teams every single year that it feels like they're in every single game. They don't pull out any of them, but you know that they're being very competitive. And it's big on the betting side of things as well. If you're getting Villanova catching some points and they lose by two spread as four, guess what, they might have lost a game out right, but you'll win your bet. And that's what we care about on this podcast, and what we care about on this podcast is getting on great guests. And Erk has certainly fit the billain then some because you're one of the best in the business at doing what you do, looking at this wonderful game of college basketball. Your model is so top notch. So love the good people at home. No, it's all on tap for you and how people can fall on on social media and other platforms.
Yep, if you guys want to find me up my website, my website is Haslometrics dot com. Otherwise, if you are looking for me on Twitter or x, I am out there going hashtag analytically final at Haaslometrics.
Absolutely love it and love getting on Eric. He such a wealth of knowledge when it comes to gauging this game of college basketball. Truly dedicated to just being able to provide the best in terms of analytics to it as well. And every single time he joins me one such great insight. So big thanks Eric for joining me right here on Steep's own part of the Vson Family podcast. And if you do like hearing from this fine podcast, because because SEEPS, you're able to subscribe wherever your podcast Apple Podcasts, Google Play, Spotify, sit you're in tune in. If you have a question, combat segment, idea, what have you for this podcast? You have one of two ways we have fur those in. First one is my Twitter slash x timeline. As you an underscoredy one. Keep in mind Lyrisium maybe does not matter, so i's prett usual, please just send these into the timeline. The other way is viying an Apple podcast review. If you rate this podcast five starts at this very much appreciate it. From there, you're able to fire in whatever you'd like to hear on this podcast via that five star review and We are now less than a week and a half away from the start of the college basketball season, so do let me know what I can best do to be able to get you guys set for the upcoming season sending those Twitter slash ks questions, and once we get back in season, you're going to be getting you guys fixed in analysis on every single game, every single day. So I appreciate you guys sitting in today and I'll be back with you once again tomorrow. Thank you.
