FiT Publishing

In this note, we comment on a recent paper in the journal that proposes a new normalization procedure when converting tennis betting odds to the implied probabilities of each player winning. The new procedure is especially germane for matches in which there is a heavy favorite and where there is concern that traditional conversion methods understate the true probability of the favorite winning. However, in this comment, we argue that the new adjustment, while an interesting contribution, suffers from at least three limitations that make the procedure relatively costly while not materially...Read more

This paper illustrates the value of using betting data to simulate an ex-ante distribution of league-point outcomes for English professional association football. Competition in the three tiers of the English Football League (EFL) is much more balanced than in the English Premier League (EPL). The competition at the top of the tables is more concentrated than at the bottom of the tables. Clubs relegated into a lower league tend to perform well the next season. Still, this effect does not seem to be impacted by parachute payments given to those relegated from the EPL into the second...Read more

Research examining how information influences pricing, efficiency, and line accuracy in sports betting markets is common. The existing literature, however, does not consider that the natural release of information through standard game play may be systematically related to changes in line accuracy. We test this hypothesis and find a statistically significant improvement in line accuracy in both the sides and totals markets as more information is released. This indicates the information produced through game play is valuable in improving contest forecasts by both oddsmakers and the market....Read more

I find that betting biases in the NFL market extend beyond preferring the favorite and the over. The results show that the percentage of wagers on the favorite team increases as more bettors place wagers, bettors have a preference for betting against the line movement, and they prefer to bet on the favorite when the away team has lost recent games. Furthermore, bettors have a nonlinear preference in the point spread betting, as they are less likely to wager on the favorite when the spread is small or large. In the totals market, bettors wager the over when the home team has covered the...Read more

This study extends the research on atmospheric conditions and scoring in sporting events by examining components of air density as it relates to National Football League (NFL) games. Statistically significant results were found in relation to the role of humidity in explaining the difference between actual scoring and the betting market total for NFL games. Simple wagering strategies based on humidity, wind speed, and a combination of these factors were shown to reject market efficiency. From game statistics, it appears that humidity may unexpectedly influence the rushing game, leading to...Read more

Television ratings for Sunday and Monday night NFL football are examined using betting market prices as explanatory variables. Primetime broadcasts are shown to respond positively to the win percentages of the teams playing and the expected amount of scoring measured by the betting market total. The point spread, measuring uncertainty of outcome, is found to have a negative, but insignificant effect on ratings. Betting market volume is shown to be influenced by the same factors as ratings, and the residuals of betting volume, known before the game is played, is shown to have a positive and...Read more

Betting strategies based on the presence of home-underdog bias in the NFL have been shown to produce returns in excess of those predicted by market efficiency in some situations. Dare and Dennis (2011) attribute this bias to bettors underestimating the scoring ability of home underdogs. Using a more recent sample of data, we find contradictory results. We challenge the assumptions of the Dare and Dennis (2011) model and use detailed betting data to offer an alternative rationale for the homeunderdog bias. We illustrate that bettors have clear and predictable tendencies for betting on the...Read more

This paper examines the efficiency of the “in-play” Australian Rules football fixed odds betting market at quarter time, half time, and three quarter time. Tests of semi-strong efficiency are performed on the 2009 AFL season using logistic regression analysis. The results demonstrate that as the match progresses, there is a significant bias against the team that is currently leading—a bias that increases when the team that is leading is also the away-favorite. This bias is shown to yield significant profits utilizing simple betting strategies.Read more