Purpose This paper aims to examine market inefficiencies in the National Football League (NFL) betting market from the 2003 season to the 2016 season. Design/methodology/approach The author examines the impact that division rivals and previously known determinants of inefficiencies have on the current NFL gambling market. Findings The results show that games against division rivals have a lower chance of the home team covering the spread and the chance the game will result in an over. This result demonstrates that the sportsbooks underestimate the familiarity that teams have with each other's players, coaches and tendencies from playing each other twice per year. Moreover, using this result in conjunction with previous known inefficiencies, the author puts forth a model to test out of sample predictions. The results from these tests show profitable strategies in the point spread and totals market with a win rate of nearly 57 per cent. Originality/value Overall, this paper demonstrates inefficiencies in the NFL betting market that future bettors may be able to take advantage of.
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Univ Econ Bratislava, Fac Natl Econ, Bratislava, Slovakia
Masaryk Univ, Fac Econ & Adm, Brno, Czech RepublicUniv Econ Bratislava, Fac Natl Econ, Bratislava, Slovakia
Lyocsa, Stefan
Vyrost, Tomas
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Univ Econ, Inst Econ & Management, Bratislava, SlovakiaUniv Econ Bratislava, Fac Natl Econ, Bratislava, Slovakia
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Department of Finance, Banking and Property, College of Business, Massey University, Palmerston NorthDepartment of Finance, Banking and Property, College of Business, Massey University, Palmerston North
Marshall B.R.
Young M.R.
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Department of Finance, Banking and Property, College of Business, Massey University, Palmerston NorthDepartment of Finance, Banking and Property, College of Business, Massey University, Palmerston North
Young M.R.
Cahan R.
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Department of Finance, Banking and Property, College of Business, Massey University, Palmerston NorthDepartment of Finance, Banking and Property, College of Business, Massey University, Palmerston North
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Department of Business, University of Idaho, 875 Perimeter Dr., MS 3161, Moscow, 83844, IDDepartment of Business, University of Idaho, 875 Perimeter Dr., MS 3161, Moscow, 83844, ID
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Queen Mary Univ London QMUL, Sch Elect Engn & Comp Sci, Bayesian Artificial Intelligence Res Lab, London E1 4NS, England
Alan Turing Inst, London, EnglandQueen Mary Univ London QMUL, Sch Elect Engn & Comp Sci, Bayesian Artificial Intelligence Res Lab, London E1 4NS, England