An Analysis of the Home-Field Advantage in Major League Baseball Using Logit Models: Evidence from the 2004 and 2005 Seasons

Author(s):  
William Levernier ◽  
Anthony G. Barilla
2009 ◽  
Vol 4 (3) ◽  
pp. 394-401 ◽  
Author(s):  
W. Christopher Winter ◽  
William R. Hammond ◽  
Noah H. Green ◽  
Zhiyong Zhang ◽  
Donald L. Bliwise

Purpose:The effect of travel on athletic performance has been investigated in previous studies. The purpose of this study was to investigate this effect on game outcome over 10 Major League Baseball (MLB) seasons.Methods:Using the convention that for every time zone crossed, synchronization requires 1 d, teams were assigned a daily number indicating the number of days away from circadian resynchronization. With these values, wins and losses for all games could be analyzed based on circadian values.Results:19,079 of the 24,121 games (79.1%) were played between teams at an equal circadian time. The remaining 5,042 games consisted of teams playing at different circadian times. The team with the circadian advantage won 2,620 games (52.0%, P = .005), a winning percentage that exceeded chance but was a smaller effect than home field advantage (53.7%, P < .0001). When teams held a 1-h circadian advantage, winning percentage was 51.7% (1,903–1,781). Winning percentage with a 2-h advantage was 51.8% (620–578) but increased to 60.6% (97–63) with a 3-h advantage (3-h advantage > 2-hadvantage = 1-h advantage, P = .036). Direction of advantage showed teams traveling from Western time zones to Eastern time zones were more likely to win (winning percentage = .530) than teams traveling from Eastern time zones to Western time zones (winning percentage = .509) with a winning odds 1.14 (P = .027).Conclusion:These results suggest that in the same way home field advantage influences likelihood of success, so too does the magnitude and direction of circadian advantage. Teams with greater circadian advantage were more likely to win.


2011 ◽  
Vol 3 (1) ◽  
pp. 1
Author(s):  
Alexander E. Cassuto ◽  
Franklin Lowenthal

This note examines some statistical features of the major league baseball World Series. We show that, based upon actual historical data, we cannot reject the hypothesis that the two World Series teams are evenly matched. Yet, we can also calculate the relative strengths of the teams that would best match the actual outcomes, and we find that those relative strengths are not equal. Including the home field advantage in the calculations indicates that the differential in relative strength between the competing teams can be explained by this advantage. We present the relative team strengths that would maximize the probability of four, five, six and seven game series. We find that a six or seven game series is most likely when the two teams are evenly matched, a four game series is most likely when the probability of the stronger team winning is one, while the probability of a five game series is maximized if one team has a relative strength of 0 .789. We also show that, on average, the expected number of World Series games will be between 4 and 5.81, depending upon the relative strengths of the teams and the home field advantage. Contracts that do not consider the likelihood of less than seven game Series will create windfall gains to MLB and marginal economic losses to broadcasters.


2021 ◽  
Vol 16 (3) ◽  
Author(s):  
Jeremy Losak ◽  
Joseph Sabel

Home field advantage is universally accepted across most major sports and levels of competition. However, exact causes of home field advantage have been difficult to disentangle. The COVID-19 pandemic offers a unique, natural experiment to isolate elements related to home field advantage since all 2020 regular season Major League Baseball games were played without fans. Results provide no statistically significant evidence of a difference in home field advantage between the 2019 and 2020 seasons, evidence that home crowd support is not a driver of home field advantage. There does appear to be a statistical advantage by the home team batting second in the inning. Travel fatigue seems to have no impact on home field advantage, and while home field advantage seems to increase throughout the 2020 season, we chalk that up to small sample noise. Despite lacking historical precedence, betting markets seemingly respond efficiently to the new home conditions. Keywords: home field advantage, market efficiency, baseball, ghost games


2011 ◽  
Vol 3 (1) ◽  
pp. 7-15 ◽  
Author(s):  
Wes P. Kent ◽  
Scott C. Sheridan

Abstract Although it is often suggested that direct sunlight may affect a player’s vision, no published studies have analyzed this interaction. In this research, a variety of statistical tests were utilized to study how baseball variables respond to different cloud cover conditions. Data from more than 35 000 Major League Baseball games, spanning the seasons from 1987 through 2002, were studied. Eleven baseball variables covering batting, pitching, and fielding performance were included. Overall responses were analyzed, as well as individual responses at 21 different stadiums. Home and away team performances were evaluated separately. This study then synthesized the synergistic differences in offensive production, pitching performance, and fielding performance into changes in the “home field advantage.” Offensive production generally declines during clearer-sky daytime games compared to cloudy-sky daytime games, while pitching performance increases as conditions become clearer. Strikeouts show the strongest response in the study, increasing from 5.95 per game during cloudy-sky conditions to 6.40 per game during clear-sky conditions. The number of errors per game increases during clear-sky daytime games compared to cloudy-sky daytime games, while fly outs increase and ground outs decrease between daytime and nighttime games, regardless of the amount of cloud cover. Results at individual stadiums vary, with some stadiums displaying a very strong association between baseball performance and changes in cloud cover, while others display a weak association. All of these impacts affect the home field advantage, with the home team winning 56% of the games played under clear skies compared to 52.3% of the games played under cloudy skies.


F1000Research ◽  
2020 ◽  
Vol 9 ◽  
pp. 414 ◽  
Author(s):  
Justin Ehrlich ◽  
Shankar Ghimire

Background: In the wake of COVID-19, almost all major league sports have been either cancelled or postponed. The sports industry suffered a major blow with the uncertainty of sporting events being held in the near future. Various scenarios of how and when sports might recommence have been discussed. This paper examines various scenarios of how Major League Baseball team performance is going to be impacted by the presence of fans, or the lack thereof, in the context of physical distancing and other COVID-19 countermeasures Methods: The paper simulates, using a neural network and a logit regression model, the win-loss probabilities for various scenarios under consideration and also estimates the home effect for each team using data for the 2017-2019 seasons. Results: The model demonstrates that individual team home effect is symmetric between home and away and teams will not necessarily have a win or loss of any additional games in neutral stadiums, as teams with a high home field effect will lose more neutral games that would have been at home but will win more neutral games that would have been away. However, the result of individual games will be different since home effect is asymmetric between teams. Our simulation demonstrates that these individual game differences may lead to a slight difference in Play-Off Berths between a full season, a half season, or a full season without fans. Conclusions: Without fans, any advantage (or disadvantage) from home field advantage is removed. Our models and simulation demonstrate that this will reduce the variance. This stabilizes the outcome based upon true team talent, which we estimate will cause a larger divide between the best and worst teams. This estimation helps decision makers understand how individual team performance will be impacted as they prepare for the 2020 season under the new circumstances.


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