Thursday, March 6, 2014

#SSAC14 Betting Panel: Chad Millman


As you may have heard, the 2014 MIT Sloan Sports Analytics Conference was in Boston this past weekend, and one of the panels focused on sports betting. Throughout the week, I'm going to be taking a look at what each of the four panelists had to say, including transcripts, related tweets, my own commentary, and (if they're eventually free) YouTube clips.

Chad Millman (Twitter, SSAC profile, ESPN Insider archive) is the Editor-in-Chief of
ESPN the Magazine, and often covers betting-related topics for both The Magazine and ESPN Insider. Prior to his ESPN gig, his most notable gambling-related credential appears to be having written this book.

Anything after a bolded name is directly transcribed from the panel itself, anything in italics is me.

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David Frohardt-Lane (known NFL #shrap): No matter how big of a deal the Conference Championship is, you're going to get up for the Super Bowl.

Chad Millman: Well, you got two weeks [...]

Wednesday, March 5, 2014

#SSAC14 Betting Panel: Jay Kornegay


As you may have heard, the 2014 MIT Sloan Sports Analytics Conference was in Boston this past weekend, and one of the panels focused on sports betting. Throughout the week, I'm going to be taking a look at what each of the four panelists had to say, including transcripts, related tweets, my own commentary, and (if they're eventually free) YouTube clips.

Jay Kornegay (Twitter, SSAC profile) is the Vice President of the LVH SuperBook, which is one of the largest
 and most well-respected sportsbooks in Las Vegas. His thoughts/comments/opinions can often be found in the tweets, columns, and podcasts of Chad Millman and RJ Bell.

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Jay Kornegay: We're not defined like a lot of people think. We're not running all this massive data, you know, we're not a bunch of mathematicians back there, in the NFL. The NFL is more of an art form for us. Our power ratings are pretty much in our head. In fact, I think you guys would be very disappointed on how we make some of these lines [laughs]. For the NFL, for the NFL.

Tuesday, March 4, 2014

#SSAC14 Betting Panel: David Frohardt-Lane


As you may have heard, the 2014 MIT Sloan Sports Analytics Conference was in Boston this past weekend, and one of the panels focused on sports betting. Throughout the week, I'm going to be taking a look at what each of the four panelists had to say, including transcripts, related tweets, my own commentary, and (if they're eventually free) YouTube clips.

David Frohardt-Lane (Twitter, SSAC profile) won the 2013 LVH SuperContest, finishing with a 55-26-4 record and taking home the top prize of $557,850. While it's possible for anyone to run really good for 85 (or 170!) picks, that doesn't look to be the case with Frohardt-Lane, who also went 58-23-4 in a similar Cantor contest in 2011, yet still doesn't appear to have any plans to go tout. He does have a day job, working at as a trader for 3Red Group.

Monday, March 3, 2014

#SSAC14 Betting Panel: Patrick Donovan aka The Sports Boss


As you may have heard, the 2014 MIT Sloan Sports Analytics Conference was in Boston this past weekend, and one of the panels focused on sports betting. Throughout the week, I'm going to be taking a look at what each of the four panelists had to say, including transcripts, related tweets, my own commentary, and (if they're eventually free) YouTube clips.

First up is Patrick Donovan, aka The Sports Boss (Twitter, picks site, blog). Donovan is a tout who appears to work in finance. He is not particularly well known, and may have only been invited onto the panel (at the last minute, it seems) due to being buddies with Chad Millman and the ESPN Insider crew. 

Anything after a bolded name is directly transcribed from the panel itself, anything in italics is me.

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Jeff Ma (moderator, table games enthusiast): So, quick question. If you're a handicapper...and you're a good handicapper, I assume, right? You think you're a good handicapper?

Thursday, February 6, 2014

The Paper of Record


The first problem with James Vlahos' New York Times Magazine piece on sports betting seems to be that the writer simply was not sufficiently knowledgeable about his subject -- either prior to starting his research, or after the article's publication -- to competently report on the topic.

This could be shown in a variety of ways, but for now I'll just pick one.

In this follow-up interview, Vlahos said he was really struck by a former DII football player who is "effectively a host at a strip club" and "loves to bet on sports". Possibly an interesting anecdote, but fairly obviously not the description of an advantage sports bettor, right? Well, no, unless you're hopelessly gullible:
Vlahos: He was very thoughtful and had a statistically-based, well-reasoned approach to his selections for the SuperContest. He was telling me all this as the music was going "BOOM BOOM BOOM".
Nolan: Presumably, he has been less successful than some of the other bettors you profiled if he's working in the club.
Vlahos: His work is fairly lucrative for relatively few hours. His feeling was that he has been around Vegas for a long time and has been around sports gamblers for a long time and has seen a lot of people go bust. One reason that happens is that they depend on betting as their only source of income. They were paying their mortgage or their rent with winnings. When that happens, if you go on a little bad streak, you get desperate much more quickly, as he explained it to me. All of the sudden you need the money, and that's when you make more emotional, less-reasoned choices. It sounded like Vinny was fairly successful as a gambler, and he talked about doing it full time, but maybe he has too good a head on his shoulders.
I think it's very telling here that the most intelligent part of this exchange is the bolded part, from Rachel Nolan, interviewing Vlahos about his story. The fact that Nolan has presumably done much less "research" than Vlahos on this topic perhaps ties it all together, as she hasn't yet had an opportunity to be convinced of things which defy logic by people who make a living out of convincing people of things which defy logic. Which brings us to problem #2: selection bias.

Let's say (hypothetically) that you're a reporter from The New York Times, setting out to write a Super Bowl week story on sports betting, with a focus on the LVH SuperContest. You don't know much about this subject yourself, so you attempt to contact potential "expert" sources for your article; some respond to your inquiry, some do not. In this sense, you're really at the mercy of the responses you get, and the selection bias inherent in which parties will respond to such an inquiry.

So, you didn't really know where to start, and are only going to end up talking to people who want to talk to you. My guess would be that the groups of folks you'll end up speaking to will include:
  • The people at the top of the SuperContest standings toward the end of the 2013 season;
  • Touts;
  • Any other accessible names he came across over the course of conversation with those two groups.
And well, let's go down the list from the article:
  • RJ Bell is a tout, shill, and all-around scam artist;
  • Vegas Runner is a tout, shill, and all-around scam artist;
  • Dennis Montoro bets on football "not with the hope of paying bills, but simply for fun"; the article essentially brags about how he's only down $10,000 lifetime betting on sports;
  • Jay Kornegay is the sportsbook director for the LVH, but seems to be more of a PR guy, and has been established to be clueless when it comes to sports betting markets;
  • Steve Fezzik is a tout, shill, all-around joke, and indeed the embodiment of a "prototypical Vegas sharp"  in the MSM's eyes, as he bets "occasionally as much as $2,000"; 
  • Dave Oancea was named 2013 Las Vegas Socialite of the Year, and has "rules of thumb" which include "not betting against a premier quarterback like Aaron Rodgers, no matter what the numbers might indicate"; he sole qualifications seem to be a strong showing in this year's SuperContest, and recently hitting a couple futures with decent payout odds;
  • Amusingly, since sports betting has been relegated to a hobby for him for nearly a decade, David Frohardt-Lane is almost certainly the sharpest football bettor in the group (and not just because he was the eventual SuperContest winner).
Not great, Bob.

So, the entirety of your knowledge of sports betting came from discussions with this all-star list, you probably would come away with the impression that making a consistent living betting on sports is essentially impossible (without having a day job, or funding your bankroll by scamming others). And I do understand the selection bias aspect of trying to get people to talk to you; after all, that's the reason that the general landscape of sports betting "sharps" and "experts" is such a shitshow.

But at some point, you're a features writer for The New York Times, and you need to do better than this. You need to come in with some level of skepticism of RJ, VR, and Fezzik, who are so blatantly and constantly trying to sell you something. You need to be able to identify at least one of the multitude of red flags mentioned in Matt Rudnitsky's excellent post earlier this week.

Obviously that didn't happen. And since the article -- which received no shortage of criticism, much of it tweeted directly at its author -- was published, Vlahos' only Twitter activity has been to attempt to get as many popular accounts as possible to tweet out the link, and thank people who've said nice things about the piece. Which sounds very familiar to the approach of another Twitter user we're all far too familiar with.

In the end, it really seems like we're right back where we started, with Vlahos moving on to his next temporary fascination, and RJ accumulating a few thousand new followers. In a sense, the existence of the article itself is progress, since the MSM has gone from ignoring sports betting entirely, to reporting false narratives and asking the wrong questions to the wrong people. At least it's in good company on both fronts, I suppose.

Thursday, January 23, 2014

Winning Points


Lunardi posted an article today introducing a new metric to be used for seeding. The metric, which he calls "Winning Points", credits or debits a team for each game, depending on W/L result, location, and quality of opponent. I think this a solid framework, one which I've used in the past myself. So, promising start. But then he had to go and post this chart:

So, if you play a top 25 team on the road, you're guaranteed at least two "Winning Points" (even if you lose!), which is same number you get for beating a 101-200 team away from home. This approach is fairly obviously going to reward teams which have played more difficult schedules, regardless if they've actually won the games against these teams.

And, wouldn't you know it, the focus of the article ends up being a comparison of Kansas and Wichita St., with Lunardi eventually "elevating the four-loss 'major' over the undefeated mid-major".

Which was the inevitable result as soon as he posted that chart. In fact, it was pretty much a lock even before either of these teams have played a game. Below, I've used the current KenPom ratings/rankings to evaluate the chances Michigan (currently the #10 team in Pomeroy's ratings) would've had in each game on the schedules of the Jayhawks and Shockers. Combining that with the chart above, we get the expected "Winning Points" from the #10 team playing each of these schedules.

Keep in mind, this is the result we'd expect if literally the exact same team played against these slates.

First, the Jayhawks:


Only three games with a negative expectation, versus eight where losing points wasn't even a possibility. Obviously Michigan is quite good, but you could put a team which doesn't fit that description (let's say Elon, #160 in KenPom) through this schedule and they'd still be expected to come out a couple "Winning Points" ahead (1.97, to be exact). Which makes sense; they're probably not going to win against Iowa St., but it doesn't even really matter, since they get two points just for showing up.

Now the Shockers:


Well, "Winning Points" sure doesn't approve of that home game against Emporia St. I mean, Wichita won by 43, but I guess that's just not good enough. In fact, the Shockers lose the same number of points for that result as if they'd lost on the road against a sub-201 team.

Before either team played a possession of basketball, Kansas had an edge of nearly 16 "Winning Points. Not because they had better players or anything like that; just by virtue of the teams they were scheduled to play over the season's first three months. As @BPredict pointed out, this is quite reminiscent of the RPI, which is like comparing an NFL team to the '08 Lions. Both these metrics give far too much focus to the difficulty of your schedule, and not nearly enough to your performance against it.

It seems fairly clear that a similar approach, except where both teams start on a level playing field, and then are adjusted based on performance, would be superior. Below I simply credited and debited based on the odds of Michigan winning or losing each game. So if Michigan had a 70% chance of winning a game, they'd be +0.30 if they won, and -0.70 if they lost. This works out such that the expectation for Michigan in each game is +0.00, regardless of opponent or location. The result of this approach, as you'd imagine, is quite different:


Has Kansas faced a more difficult schedule? Yes, obviously. But it's not like Wichita is playing in the SWAC, and the Shockers' W/L results have been superior by a wide margin. Maybe they won't be able to keep it up, but as of now the undefeated mid-major's season has been more impressive -- if you ever gave them a chance in the first place.

Monday, January 20, 2014

Not Quite