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Australian Open 2020: Predicting ATP Match Outcomes | by Hong Xiang Yue | Analytics Vidhya | Medium
Australian Open 2020: Predicting ATP Match Outcomes | by Hong Xiang Yue | Analytics Vidhya | Medium

A common-opponent stochastic model for predicting the outcome of professional tennis matches - ScienceDirect
A common-opponent stochastic model for predicting the outcome of professional tennis matches - ScienceDirect

PDF) Combining player statistics to predict outcomes of tennis matches
PDF) Combining player statistics to predict outcomes of tennis matches

Applied Sciences | Free Full-Text | Prognostic Validity of Statistical Prediction Methods Used for Talent Identification in Youth Tennis Players Based on Motor Abilities
Applied Sciences | Free Full-Text | Prognostic Validity of Statistical Prediction Methods Used for Talent Identification in Youth Tennis Players Based on Motor Abilities

PDF] Combining player statistics to predict outcomes of tennis matches | Semantic Scholar
PDF] Combining player statistics to predict outcomes of tennis matches | Semantic Scholar

Applications and use cases of AI in Sports
Applications and use cases of AI in Sports

Real-time eSports Match Result Prediction – arXiv Vanity
Real-time eSports Match Result Prediction – arXiv Vanity

Real-Time Point-by-Point Forecasts on the ATP World Tour — DataBuckets
Real-Time Point-by-Point Forecasts on the ATP World Tour — DataBuckets

PDF] Combining player statistics to predict outcomes of tennis matches | Semantic Scholar
PDF] Combining player statistics to predict outcomes of tennis matches | Semantic Scholar

Match Point: Predicting Outcomes of Hypothetical Tennis Matches Between Top 10 Ranked Players
Match Point: Predicting Outcomes of Hypothetical Tennis Matches Between Top 10 Ranked Players

A common-opponent stochastic model for predicting the outcome of professional tennis matches - ScienceDirect
A common-opponent stochastic model for predicting the outcome of professional tennis matches - ScienceDirect

Combining player statistics to predict outcomes of tennis matches | VU Research Repository | Victoria University | Melbourne Australia
Combining player statistics to predict outcomes of tennis matches | VU Research Repository | Victoria University | Melbourne Australia

Analysing time pressure in professional tennis - IOS Press
Analysing time pressure in professional tennis - IOS Press

Game, Set, Match: Strategies for Making Better Tennis Predictions - FotoLog
Game, Set, Match: Strategies for Making Better Tennis Predictions - FotoLog

A new model for predicting the winner in tennis based on the eigenvector centrality | SpringerLink
A new model for predicting the winner in tennis based on the eigenvector centrality | SpringerLink

Utilizing Data to Predict Winners of Tennis Matches
Utilizing Data to Predict Winners of Tennis Matches

Match Point: Predicting Outcomes of Hypothetical Tennis Matches Between Top 10 Ranked Players
Match Point: Predicting Outcomes of Hypothetical Tennis Matches Between Top 10 Ranked Players

Data deal adds new dimension to Stats Perform's WTA agreement | SportBusiness
Data deal adds new dimension to Stats Perform's WTA agreement | SportBusiness

One More Shot: Predicting Wins in Women's Professional Tennis
One More Shot: Predicting Wins in Women's Professional Tennis

PDF] Combining player statistics to predict outcomes of tennis matches | Semantic Scholar
PDF] Combining player statistics to predict outcomes of tennis matches | Semantic Scholar

MATHS POINT: Finding Tennis' Winning Formula – Chew The Stat
MATHS POINT: Finding Tennis' Winning Formula – Chew The Stat

Trusted AI-generated content at the 2022 Championships - IBM Developer
Trusted AI-generated content at the 2022 Championships - IBM Developer

Machine Learning for Table Tennis Match Prediction
Machine Learning for Table Tennis Match Prediction

Tennis Strategy | PDF | Prediction | Odds
Tennis Strategy | PDF | Prediction | Odds

Forecasting Tennis Match Results Using the Bradley-Terry Model
Forecasting Tennis Match Results Using the Bradley-Terry Model

A study of forecasting tennis matches via the Glicko model | PLOS ONE
A study of forecasting tennis matches via the Glicko model | PLOS ONE

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
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

Forecasting Tennis Match Results Using the Bradley-Terry Model
Forecasting Tennis Match Results Using the Bradley-Terry Model