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- Title
Competing in daily fantasy sports using generative models.
- Authors
Mlčoch, David; Hubáček, Ondřej
- Abstract
We introduce a model for competing in daily fantasy sports competitions. Our approach combines modeling of players' fantasy points and subsequent lineup optimization. The distribution of fantasy points was estimated using an ensemble of generative models. We designed a mixed‐integer quadratic program to optimize not only the average fantasy points but also the variance and covariance of players' fantasy points to exploit the top‐heavy payout structures. We tested our approach on real‐world data. Over eight weeks, the model generated a profit of €2439 with an initial investment of €7133, resulting in a return on investment of over 34%.
- Subjects
FANTASY sports; SPORTS competitions; RATE of return; SPORTS forecasting; NONLINEAR programming
- Publication
International Transactions in Operational Research, 2024, Vol 31, Issue 3, p1515
- ISSN
0969-6016
- Publication type
Article
- DOI
10.1111/itor.13344