Abstract:Pope and Schweitzer (AER, 2011) study predictions of prospect theory for the reference point of par on the current hole in professional golf. We study prospect theory predictions for three other plausible reference points: par for recent holes, for the round, and for the tournament. A potentially competing force is momentum in quality of play, i.e., the hot or cold hand. While prospect theory predicts negative serial correlation in better (worse)-than-average performance across holes, the hot (cold) hand impli… Show more
“…The specification in column 3 utilizes player-par value fixed effects. Stone and Arkes (2016) suggest that, since players differ in their ability to play long and short holes, the introduction of these fixed effects can improve the model. This yields results similar to those using player fixed effects.…”
Section: Resultsmentioning
confidence: 99%
“… 2. See Balsdon (2013); Fearing, Acimovic, and Graves (2011); Hickman and Metz (2015); Hickman and Metz (2018); Pope and Schweitzer (2011); and Stone and Arkes (2016) as recent examples. …”
Using data from the final round of golf tournaments, we analyze the effect of player rank on performance. The identification of varying levels of pressure is possible due to the detailed nature of the data set, which allows us to determine the rank of each player just prior to teeing off on each hole. We find that players in the lead tend to underperform, especially near the very end of the tournament and when the lead is closely contested. We also create a measure to rank individual golfers based on how their performance is affected by high-pressure situations.
“…The specification in column 3 utilizes player-par value fixed effects. Stone and Arkes (2016) suggest that, since players differ in their ability to play long and short holes, the introduction of these fixed effects can improve the model. This yields results similar to those using player fixed effects.…”
Section: Resultsmentioning
confidence: 99%
“… 2. See Balsdon (2013); Fearing, Acimovic, and Graves (2011); Hickman and Metz (2015); Hickman and Metz (2018); Pope and Schweitzer (2011); and Stone and Arkes (2016) as recent examples. …”
Using data from the final round of golf tournaments, we analyze the effect of player rank on performance. The identification of varying levels of pressure is possible due to the detailed nature of the data set, which allows us to determine the rank of each player just prior to teeing off on each hole. We find that players in the lead tend to underperform, especially near the very end of the tournament and when the lead is closely contested. We also create a measure to rank individual golfers based on how their performance is affected by high-pressure situations.
“…The Prospect Theory has been used extensively in economics, marketing and finance (Barberis, 2013). In sports, it has been extensively used to understand the failure of certain rules like the three-point rule to avoid draws in soccer (Riedl et al, 2015), and the momentum of players in the PGA golf tours (Stone & Arkes, 2016). It has also been used to a great extent in the field of sports betting (Yu et al, 2022) and sports-based physical fitness and other behavioural Above Average 'Lacks carry, bounce or occasional seam movement any or all three, however, shows somewhat consistency for carrying and bounce.…”
The article identifies measurable attributes to find the consistency in pitch ratings which are otherwise subjective decisions made by referees for international test match cricket. To do so, the article uses statistics related to test matches, one-days and T20s played among all test playing nations between March 2017 and March 2019 (53 tests, 142 T20s and 172 one-day matches: the next two seasons ending May 2020/2021 were hit by COVID-19 and hence excluded). To measure the consistency of pitch ratings (very good, good, above average, average, below average and poor), measurable attributes like runs/day, wickets/day, runs/over, runs/wicket and overs/wicket were identified. To rank pitch ratings using these attributes, the multi-criteria decision-making technique—PROMETHEE II was used. We found that the referee pitch ratings are largely consistent and the attributes developed can be utilized to further analyse future judgements regarding pitch ratings. Further, six-pitch ratings can be clustered into two distinct groups that are significantly different from each other. The article is among the first to analyse sports pitch ratings by using team performance-based statistics. This study paves the way for similar studies and development of newer statistical flow-based attributes.
“…A considerable literature on hot hands has arisen in the three decades since Gilovich et al (1985) brought the concept from sports folklore into the realm of academic research. 4 The sports covered include basketball (Arkes, 2013; Daks et al, 2018; Gilovich et al, 1985; Paul and Weinbach, 2005), golf (Clark, 2003; Gilden and Wilson, 1995; Livingston, 2012; McFall et al, 2009; Stone and Arkes, 2016), volleyball (Raab et al, 2012), baseball (Albert, 1993; Albright, 1993; Green & Zwiebel, 2018), bowling (Dorsey-Palmateer and Smith, 2004), National Football League (Paul et al, 2012), darts (Otting et al, 2018) and even horseshoe pitching (Smith, 2003). 5 The results have been mixed.…”
We extend the empirical analysis of hot hands in sports to horse racing, using the winning streaks of a sample of jockeys riding in Australia. Grouping jockeys by strike rate (win percentage), we find evidence of hot hands across almost all strike rates. But considering jockeys individually, only a minority exhibit hot hands. A wagering strategy based on hot hands yields a negative return overall and for most hot hand jockeys, although some do yield a positive return. We conclude that hot hands are present but not ubiquitous and that this is generally recognised in the betting market. JEL Classification: C53, D81, D84
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