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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2411.11012 |
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| _version_ | 1866915024330555392 |
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| author | Grody, Max Bansal, Sandeep Ashqar, Huthaifa I. |
| author_facet | Grody, Max Bansal, Sandeep Ashqar, Huthaifa I. |
| contents | Daily fantasy baseball has shortened the life cycle of an entire fantasy season into a single day. As of today, it has become familiar with more than 10 million people around the world who participate in online fantasy. As daily fantasy continues to grow, the importance of selecting a winning lineup becomes more valuable. The purpose of this paper is to determine how accurate FanDuel current daily fantasy strategy of optimizing daily lineups are and utilize python and linear programming to build a lineup optimizer for daily fantasy sports with the goal of proposing a more accurate model to assist daily fantasy participants select a winning lineup. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2411_11012 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Optimizing Daily Fantasy Baseball Lineups: A Linear Programming Approach for Enhanced Accuracy Grody, Max Bansal, Sandeep Ashqar, Huthaifa I. Numerical Analysis Optimization and Control Daily fantasy baseball has shortened the life cycle of an entire fantasy season into a single day. As of today, it has become familiar with more than 10 million people around the world who participate in online fantasy. As daily fantasy continues to grow, the importance of selecting a winning lineup becomes more valuable. The purpose of this paper is to determine how accurate FanDuel current daily fantasy strategy of optimizing daily lineups are and utilize python and linear programming to build a lineup optimizer for daily fantasy sports with the goal of proposing a more accurate model to assist daily fantasy participants select a winning lineup. |
| title | Optimizing Daily Fantasy Baseball Lineups: A Linear Programming Approach for Enhanced Accuracy |
| topic | Numerical Analysis Optimization and Control |
| url | https://arxiv.org/abs/2411.11012 |