Tennis - citations

Tennis (along with football) is one of the most popular sports for in-play trading. There is a wealth of freely available data for which to build trading models.

In-play trading allows the suitably equiped trader to watch and trade the changing fortunes of tennis players whilst matches are in progress.

These academic papers can be found on Google Scholar, JSTOR and in journals stored in university libraries. Some post graduate disertations are listed at the end.

Knottenbelt, William J., Demetris Spanias, and Agnieszka M. Madurska. "A common-opponent stochastic model for predicting the outcome of professional tennis matches." Computers & Mathematics with Applications 64.12 (2012): 3820-3827.

Barnett, T., A. Brown, and S. Clarke. "Developing a Model that Reflects Outcomes of Tennis Matches." Swinburne University (2005).

Barnett, Tristan J., and Stephen R. Clarke. "Using Microsoft Excel to model a tennis match." 6th Conference on Mathematics and Computers in Sport. Queensland, Australia: Bond University, 2002.

Barnett, Tristan J. Mathematical modelling in hierarchical games with specific reference to tennis. Diss. Swinburne University of Technology, 2006.

Barnett, Tristan, and Stephen R. Clarke. "Combining player statistics to predict outcomes of tennis matches." IMA Journal of Management Mathematics 16.2 (2005): 113-120.

Dingle, Nicholas, William Knottenbelt, and Demetris Spanias. "On the (page) ranking of professional tennis players." Computer Performance Engineering. Springer Berlin Heidelberg, 2013. 237-247.

Easton, Stephen, and Katherine Uylangco. "Forecasting outcomes in tennis matches using within-match betting markets." International Journal of Forecasting 26.3 (2010): 564-575.

Newton, Paul K., and Kamran Aslam. "Monte carlo tennis." SIAM review 48.4 (2006): 722-742.

Newton, Paul K., and Joseph B. Keller. "Probability of winning at tennis I. Theory and data." Studies in applied Mathematics 114.3 (2005): 241-269.

Øvregård, Øyvind Norstein. "Trading" in-play" betting Exchange Markets with Artificial Neural Networks." (2008).

del Corral, Julio, and Juan Prieto-Rodriguez. "Are differences in ranks good predictors for Grand Slam tennis matches?." International Journal of Forecasting 26.3 (2010): 551-563.

Also, some post graduate students have produced disertations that are of note.

Aslam, Kamran. A stochastic Markov chain approach for tennis: Monte Carlo simulation and modeling. 2012.

Huang, Xinzhuo, William Knottenbelt, and Jeremy Bradley. "Inferring Tennis Match Progress from In-Play Betting Odds." final year project), Imperial College London, South Kensington Campus, London, SW7 2AZ (2011).