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PDF] Combining player statistics to predict outcomes of tennis matches | Semantic Scholar
Australian Open 2020: Predicting ATP Match Outcomes | by Hong Xiang Yue | Analytics Vidhya | Medium
Predicting ATP Tennis Match Outcomes Using Serving Statistics | by Michal Kokta | The Startup | Medium
Trusted AI-generated content at the 2022 Championships - IBM Developer
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PDF) Combining player statistics to predict outcomes of tennis matches
Combining player statistics to predict outcomes of tennis matches | VU Research Repository | Victoria University | Melbourne Australia
Utilizing Data to Predict Winners of Tennis Matches
tennis-player-compare/doc/glicko2_tennis_skills/glicko2_tennis_skills.md at master · danielkorzekwa/tennis-player-compare · GitHub
Data deal adds new dimension to Stats Perform's WTA agreement | SportBusiness
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PDF] Combining player statistics to predict outcomes of tennis matches | Semantic Scholar
Game, Set, Match: Strategies for Making Better Tennis Predictions - FotoLog
Match Point: Predicting Outcomes of Hypothetical Tennis Matches Between Top 10 Ranked Players
Applications and use cases of AI in Sports
Predicting the Winner of a Tennis Match Using Machine Learning Techniques
Match Point: Predicting Outcomes of Hypothetical Tennis Matches Between Top 10 Ranked Players
Applied Sciences | Free Full-Text | Modeling In-Match Sports Dynamics Using the Evolving Probability Method
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MATHS POINT: Finding Tennis' Winning Formula – Chew The Stat
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PDF] Combining player statistics to predict outcomes of tennis matches | Semantic Scholar
Real-Time Point-by-Point Forecasts on the ATP World Tour — DataBuckets
Real-time eSports Match Result Prediction – arXiv Vanity
GitHub - BrandoPolistirolo/Tennis-Betting-ML: Machine Learning model(specifically log-regression with stochastic gradient descent) for tennis matches prediction. Achieves accuracy of 66% on approx. 125000 matches
