Established Bayesian models and leveraged historical data to predict home and away teams’ performance. Achieved over 80% prediction accuracy of winning percentage and 53% of the goal prediction.
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Updated
Feb 12, 2020 - R
Established Bayesian models and leveraged historical data to predict home and away teams’ performance. Achieved over 80% prediction accuracy of winning percentage and 53% of the goal prediction.
Predicting the fair market price for a player
foot是一个集足球数据采集器,简单分析的项目.AI足球球探为程序全自动处理,全程无人为参与干预足球分析足球预测程序.程序根据各大指数多维度数据,结合作者多年足球分析经验,精雕细琢,集天地之灵气,汲日月之精华,历时七七四十九天,经Bug九九八十一个,编码而成.有兴趣的朋友,可以关注一下公众号AI球探(微信号ai00268).
Football world cup prediction in Python
The project, ProSoccerPredictor is a Football Match Prediction and Player Analysis System which is designed to predict outcomes for matches between different teams and to also get a complete performance analysis on different players.
For this particular project, I decided to download data for the last 21 seasons of EPL starting from the 2000-01 season to the 2020-21 season. Finally, I trying to improve the accuracy of prediction using deep learning as soon as possible
An automated football prediction system hosted on the Google Cloud Platform. Informed predictions can be made for all major European leagues.
Multinomial logistic regression model for predicting the outcomes of football matches
Using Data Science and Machine Learning Prediction of Football Prediction & Kelly Betting
Detect advertising banners on the Champions League games
Football data analysis for learning purpose
An online football results predictions game, built using the Laravel PHP framework.
Predicts Sports Winner Team
Coach Advisory System And Football Prediction In Julia
Football prediction model
Will Inter Maimi qualify for the MLS playoffs in 2023
Football game winner prediction artificial intelligence
R implementation of my BSc thesis in Statistics (University of Trieste)
A football Analysis App
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