Saturday, April 12, 2008

Pete Rose's Bets: How Smart? 

Most readers will recall that Pete Rose has been banned from baseball for betting on the game. Rutgers Professor Douglas Coate does the sums on the bets listed in the Dowd Report as having been made by Rose:
In this paper the betting on baseball games from April 8, 1987 to May 12, 1987 attributed to Pete Rose in the Dowd Report to the Commissioner of Baseball is analyzed. The results show Rose lost $4,200 betting on the Cincinnati Reds, the team which he managed; $36,000 betting on other teams in the National League, and $7,000 on his American League wagers. These losses, which include about $20,000 to $25,000 in transaction fees are small relative to the $450,000 in winning and losing bets (including the transaction fees) and are consistent with an informational efficient market. Assuming these bets are Rose's, his expertise (24 years as a player, 4 years as a manager, major league leader in games played) was not an advantage when betting on his own team, on other teams in his league that he studied and competed against, or on teams in the other major league.
Rose typically bet four or more baseball games each day, in addition to a bet on the Reds (always to win, apparently). Coate doesn't include betting on NBA games (see exhibit 16 of the Dowd report, which shows winning and losing bets on NBA spreads). It would be interesting to test the null hypothesis that Rose's wagering on MLB and NBA games was equally futile.

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Monday, February 04, 2008

Anomalies: Super Bowl Coin Toss Betting 

In terms of betting, the Super Bowl is one of the most popular events in the world. Sports books, as well as trading markets like TradeSports that operate like betting markets, offer a wide variety of bets/contracts on the Super Bowl. I like to follow the trading of contracts on TradeSports in real time for large handle events like the Super Bowl to see how markets interpret the information that is revealed on the field. While surfing around the TradeSports web site before the game, I noticed among the “proposition” contracts offered was a contract on the Super Bowl coin toss coming up heads. Based on the volume of trades, this was the most popular Super Bowl proposition bet on TradeSports, and based on other web sites, proposition bets on the Super Bowl coin toss are one of the most popular Super Bowl prop bets.

For those unfamiliar with TradeSports, and other prediction markets, this site allows members to buy and sell contracts on specific events occurring. Each contract is worth $10 if the event happens and zero if it does not. So if you purchase a contract on the event “heads on the Super Bowl coin toss,” you get $10 if the toss is heads and zero if the toss is tails. Up until the coin toss takes place, these contracts can be bought and sold on a market at whatever the prevailing price is at that moment. By convention, TradeSport prices are normalized to the 0-100 interval, so that the price can be interpreted as an estimate of the buyer or seller’s subjective probability of the event taking place.

As anyone who has taken a statistics class knows, the expected value of the toss of a fair coin is 50/50 – a 50% chance of heads and a 50% chance of tails. So the expected value of a $10 contract on “heads on the Super Bowl coin toss” is 0.50*$10+0.50*0=$5, or 50 when expressed in the TradeSports price metric. TradeSports also makes price-volume data available for all contracts. There were 86 transactions, involving 275 contracts, in this particular market. The graph below shows the frequency distributions for the prices paid in these transactions.


This distribution is interesting, to say the least. The mean price was 50.33 and the median 50.35. Why would anyone pay more than 50 for a contract with an expected value of 50? Of the 85 transactions, 52 of them took place at a price greater than 50. Those two trades at 52, which are the equivalent of betting $5.20 for a 50% chance of winning $10, both came minutes before the coin toss.


There are several possible explanations for why we would observe prices not equal to 50 in this market. Risk seeking in the Friedman-Savage sense, consumption benefits from gambling, and a number of Kahneman-Tversky type heuristic decision rules immediately come to mind. FYI, in 42 Super Bowl coin tosses heads has come up 20 times and tails has come up 22 times. I was unable to locate a year-by-year list of outcomes, so we can’t determine if there is a “hot hand” in Super Bowl coin tosses.

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Saturday, March 24, 2007

Paying Them What They Are Worth Improves the Integrity of Games 

Stef Szymanski argues below that monopsonistic exploitation via international competition is a primary driving force behind the fixing of international matches.

We don't hear much about players throwing games/shaving points in major professional team sports in the US these days. We can't say that about past history when player salaries were controlled through monopsonistic practices.

Game fixing is more likely in US collegiate sports than in the pros, primarily men's basketball and football, because the average player receives far less than he's worth - a restriction made, it's often said, for the sake of amateurism. The most likely players to fix games in collegiate sports are those in the money sports who have little shot at a professional career. Taking what amounts to bribes to fix the outcome of games is a way for them to earn income. And while the rent seekers - coaches, athletic directors, and others take extra large slices of the football and basketball pies, the integrity of the games is put at risk

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