footballpredictor

There are 13 repositories under footballpredictor topic.

  • acredjb/FBP

    FBP项目全称FootBallPrediction，历经9个月完成的足球比赛预测项目。项目结合大数据+机器学习，不断摸索开发了一个程序。

    417506243

  • monomania/foot

    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).

    Language:Go15212460

  • msoczi/football_predictions

    Predicting the results of matches in European leagues

    Language:Jupyter Notebook214412

  • saife245/MACHINE-LEARNING-PROJECTS

    Language:Jupyter Notebook8106

  • Mycode-Developpement/football-game-simulator

    Relive the world's greatest soccer posters or those from your favorite teams. This is a football match simulator where 11 players on each team play against each other. The simulator is currently in beta version!

    Language:Python5211

  • IsaanLive/WorldCup2014

    World Cup Brazil Android Application 2014. Comes with Countdown, Schedules, Alarm, Live scores, Push notification, Top scorers and Admob. Developed with Eclipse IDE

    Language:Java2101

  • nikhilj97/epl_prediction

    This project looks to predict the outcome of English Premier League. There are 6 major factors which contribute to the result of the match, they are - Number of goals scored, Number of clean sheets kept, Shots on target made by the team, Shots taken from inside the box, Goals conceded, Saves made by the goalkeeper of the team. Ranking Algorithm helps to determine where a team stands comparative to other teams in the above mentioned departments. Use of Ranking Algorithm can also provide the team with their ranking in all these fields individually, so that they can figure out the departments which needs improvement and work on the same. The final ranking of the teams in the table is determined on number of wins. Generally, team with highest number of wins ends up winning the league. “Goals” and “clean sheets” are the two factors on which “wins” is dependent. Both are directly proportional to wins. I.e. the more the number of goals scored and clean sheets kept, more are the chances of winning. Furthermore, for determining “goals”, “shots on target” & “shots from inside box” are the two main factors; and for determining “clean sheets”, “goals conceded” & “saves” are the factors. Analysis of all these factors leads us to predict the overall rank of the team, which also can be considered as the finishing position in the table at the end of the season.

    Language:R2100

  • Frafervil/ReGOLsivo

    Repositorio de la aplicación web ReGOLsivo

    Language:Vue120

  • ElToro13/Python

    Python Folder

    Language:Python0100

  • f20180127/Football-Match-Result-Prediction

    Prediction of the outcome of football matches of European teams using various ML models. The features include many in-game statistics and team ratings to predict the result.

    Language:Python

  • n4ze3m/CL-Bot

    UEFA Champions league future results tweeting bot

    Language:Python20

  • seanjohn85/Elite-Premier-League

    Front end applciation with core ml cnn model

    Language:Swift10

  • seanjohn85/Premier-League

    4th year project

    Language:Python10