This research examines whether the college football betting line and over/under accurately assimilate travel effects on visiting teams, including time zones traversed; direction and distance traveled; and temperature, elevation, and aridity changes. We investigate the market’s accuracy at predicting winners, point differentials, and points scored and examine its market efficiency, that is, whether travel affects the chance the home team covers the spread or the chance that an “over” bet wins. The betting market is found to be an inaccurate and inefficient processor of travel effects, most consistently for late-season games involving an underdog with a 1-hr time deficit versus its opponent.
AshmanT.BowmanR. A.LambrinosJ. (2010). The role of fatigue in NBA wagering markets: The surprising ‘home disadvantage situation.’Journal of Sports Economics, 11, 602–613.
DareW. H.HollandA. S. (2004). Efficiency in the NFL betting market: Modifying and consolidating research methods. Applied Economics, 36, 9–15.
10.
DareW. H.MacDonaldS. S. (1996). A generalized model for testing the home and favorite team advantage in point spread markets. Journal of Financial Economics, 40, 295–318.
11.
EvenW. E.NobleN. R. (1992). Testing efficiency in gambling markets. Applied Economics, 24, 85–88.
12.
FairR. C.OsterJ. F. (2007). College football rankings and market efficiency. Journal of Sports Economics, 8, 3–18.
KainK. J.LoganT. D. (2014). Are sports betting markets prediction markets? Evidence from a new test. Journal of Sports Economics, 15, 45–63. doi:10.1177/1527002512437744
17.
KuesterD. D.SandersS. (2011). Regional information and market efficiency: The case of spread betting in United States college football. Journal of Economics and Finance, 35, 116–122. doi:10.1007/s12197-009-9113-3
MoskowitzT. J.WertheimL. J. (2011). Scorecasting: The hidden influences behind how sports are played and games are won. New York, NY: Random House, Inc.
20.
NicholsM. W. (2012). The impact of visiting team travel on game outcome and biases in NFL betting markets. Journal of Sports Economics. doi:10.1177/1527002512440580
21.
PaulR. J.WeinbachA.CoateP. (2007). Expectations and voting in the NCAA football polls: The wisdom of point spread markets. Journal of Sports Economics, 8, 412–424.
22.
PaulR. J.WeinbachA.WeinbachC. (2003). Fair bets and profitability in college football gambling. Journal of Economics and Finance, 27, 236–242.
23.
PaulR. J.WeinbachA. (2005). Bettor misperceptions in the NBA: The overbetting of large favorites and the “hot hand.”Journal of Sports Economics, 6, 390–400.
24.
ReillyT.EdwardsB. (2007). Altered sleep-wake cycles and physical performance in athletes. Physiology & Behavior, 90, 274–284.
25.
SAS Version 9.2. (2008). Cary, NC: SAS Institute Inc.
26.
SchwartzB.BarskyS. F. (1977). The home advantage. Social Forces, 55, 641–661.
SongC. U.BoulierB. L.SteklerH. O. (2007). The comparative accuracy of judgmental and model forecasts of American football games. International Journal of Forecasting, 23, 405–413.
WeinbachA.PaulR. J. (2009). National television coverage and the behavioural bias of bettors: The American college football totals market. International Gambling Studies, 9, 55–66.
