Tennis Betting Strategies Based on Neural Networks

35 Pages Posted: 4 Sep 2020

See all articles by Jeremy Flahault

Jeremy Flahault

Master 203 - Financial Markets Student

Nicolas Le Roger

Université Paris Dauphine

Marius Frunza

Schwarzthal Tech; Schwarzthal Kapital

Date Written: July 26, 2020

Abstract

The aim of this paper is to explore betting strategies for tennis matches using neural networks. We used public data and we implemented a neural network prediction model, with an accuracy of 85% on the validation and testing sets. Based on the predictive model we tested several investment strategies which incorporates investor's risk profile. The optimal strategy is to place bets on games where our model indicates a high likelihood of victory and an appropriate bookmaker's odds.

Keywords: Sport betting, Tennis, Machine Learning, Neural Networks, Statistical Models

JEL Classification: G01

Suggested Citation

Flahault, Jeremy and Le Roger, Nicolas and Frunza, Marius, Tennis Betting Strategies Based on Neural Networks (July 26, 2020). Available at SSRN: https://ssrn.com/abstract=3660940 or http://dx.doi.org/10.2139/ssrn.3660940

Jeremy Flahault

Master 203 - Financial Markets Student ( email )

France

Nicolas Le Roger

Université Paris Dauphine ( email )

Place du Maréchal de Tassigny
Paris, Cedex 16 75775
France

Marius Frunza (Contact Author)

Schwarzthal Tech ( email )

231b Business design Center
Upper Street
London, London N1 0QH
United Kingdom

HOME PAGE: http://www.schwarzthal.tech

Schwarzthal Kapital ( email )

34 quai de Dion Bouton
La Defense Puteaux, 92800
France

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