Artículos científicos en los que se basan nuestros modelos predictivos

  • By Adam Sapient
  • 03 Jul, 2020
Artículos científicos en los que se basan nuestros modelos predictivos

Aplicamos las técnicas más modernas para crear modelos robustos y fiables analizando, seleccionando y creando variables a partir de múltiples fuentes de datos

Incorporamos nuevas ideas a partir de investigaciones recientes sobre apuestas deportivas. Algunos de los ejemplos son:

  • Gallwey, W. T. (2014). The Inner Game of Tennis: The Ultimate Guide to the Mental Side of Peak Performance. Pan Macmillan.
  • Gallwey, W. T. (1976). Inner tennis: Playing the game. Random House Incorporated.
  • Kauss, D. R. (2001). Mastering your inner game. Human Kinetics.
  • SMEKAL, G., VON DUVILLARD, S. P., RIHACEK, C., POKAN, R., HOFMANN, P., BARON, R., … & BACHL, N. (2001). A physiological profile of tennis match play. Medicine & science in sports & exercise, 33(6), 999-1005.
  • Fernandez, J., Mendez-Villanueva, A., & Pluim, B. M. (2006). Intensity of tennis match play. British journal of sports medicine, 40(5), 387-391.
  • Katić, R., Milat, S., Zagorac, N., & Đurović, N. (2011). Impact of game elements on tennis match outcome in Wimbledon and Roland Garros 2009. Collegium antropologicum, 35(2), 341-346.
  • Reid, M., McMurtrie, D., & Crespo, M. (2010). The relationship between match statistics and top 100 ranking in professional men’s tennis. International Journal of Performance Analysis in Sport, 10(2), 131-138.
  • Forrest, D., & McHale, I. (2007). Anyone for tennis (betting)?. The European Journal of Finance, 13(8), 751-768.
  • Abinzano, I., Muga, L., & Santamaria, R. (2016). Game, set and match: the favourite-long shot bias in tennis betting exchanges. Applied Economics Letters, 23(8), 605-608.
  • Lisi, F. (2017). Tennis betting: can statistics beat bookmakers?. Electronic Journal of Applied Statistical Analysis, 10(3), 790-808.
  • Baker, R. D., & McHale, I. G. (2013). Optimal betting under parameter uncertainty: Improving the Kelly criterion. Decision Analysis, 10(3), 189-199.
  • McHale, I., & Morton, A. (2011). A Bradley-Terry type model for forecasting tennis match results. International Journal of Forecasting, 27(2), 619-630.
  • Easton, S., & Uylangco, K. (2010). Forecasting outcomes in tennis matches using within-match betting markets. International Journal of Forecasting, 26(3), 564-575.
  • Huang, X., Knottenbelt, W., & Bradley, J. (2011). Inferring tennis match progress from in-play betting odds. Final year project), Imperial College London, South Kensington Campus, London, SW7 2AZ.
  • Ramos, M. A. (2009). Game, set, match-fixing: will International Anti-Doping initiatives pave the way for similar reform for corrupt betting in tennis. Hous. J. Int’l L., 32, 201.
  • Brown, A., & Yang, F. (2019). The wisdom of large and small crowds: Evidence from repeated natural experiments in sports betting. International Journal of Forecasting, 35(1), 288-296.
  • Forrest, D., & McHale, I. (2005). Longshot bias: insights from the betting market on men’s professional tennis. Information efficiency in financial and betting markets, 215.
  • Malueg, D. A., & Yates, A. J. (2010). Testing contest theory: evidence from best-of-three tennis matches. The Review of Economics and Statistics, 92(3), 689-692.
  • Cornman, A., Spellman, G., & Wright, D. (2017). Machine learning for professional tennis match prediction and betting. Working Paper, Stanford University, December.
  • Van Rheenen, S., Peeters, T. L. P. R., & Granic, G. D. (2017). The sentiment bias in the market for tennis betting (Doctoral dissertation, Thesis, Erasmus Universiteit Rotterdam, April. i).
  • Cantinotti, M., Ladouceur, R., & Jacques, C. (2004). Sports betting: Can gamblers beat randomness?. Psychology of addictive behaviors, 18(2), 143.
  • Hing, N., Lamont, M., Vitartas, P., & Fink, E. (2015). Sports-embedded gambling promotions: A study of exposure, sports betting intention and problem gambling amongst adults. International Journal of Mental Health and Addiction, 13(1), 115-135.
  • Thorp, E. O. (2011). The Kelly criterion in blackjack sports betting, and the stock market. In The Kelly Capital Growth Investment Criterion: Theory and Practice (pp. 789-832).
  • Debnath, S., Pennock, D. M., Giles, C. L., & Lawrence, S. (2003, June). Information incorporation in online in-game sports betting markets. In Proceedings of the 4th ACM conference on Electronic commerce (pp. 258-259).
  • Koning, R. H., & van Velzen, B. (2009). Betting exchanges: the future of sports betting?. International Journal of Sport Finance, 4(1).

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