Ecosyste.ms: Repos

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GitHub topics: footballpredictor

Frafervil/ReGOLsivo

Repositorio de la aplicación web ReGOLsivo

Language: Vue - Size: 3.26 MB - Last synced: about 1 month ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

msoczi/football_predictions

Predicting the results of matches in European leagues

Language: Jupyter Notebook - Size: 29.9 MB - Last synced: 2 months ago - Pushed: 2 months ago - Stars: 17 - Forks: 11

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: Java - Size: 9.66 MB - Last synced: 2 months ago - Pushed: almost 6 years ago - Stars: 2 - Forks: 1

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: R - Size: 1.8 MB - Last synced: 3 months ago - Pushed: over 4 years ago - Stars: 2 - Forks: 0

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: Go - Size: 16.6 MB - Last synced: 4 months ago - Pushed: about 3 years ago - Stars: 146 - Forks: 60

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。程序根据各大公司赔率多维度预测足球比赛结果(包含胜和不胜)。机器学习用的是自己建立的“三木板模型”算法,已在国家期刊发表论文并被万方数据库收录,详见_ML_文件。目前准确率可达80%。该项目在自己创建的微信群里已经吸引了很多人,附件为群讨论截图,并且每天均有部分人根据预测结果参考投注竞彩,参考的人都获得了相应的收益。 现在想通过认识更多的有识之士,一起探索如何将项目做大做强,找到合伙人,实现共赢。希望感兴趣的同仁联系本人,微信号acredjb。公众号AI金胆(或AI-FBP),每天都有程序预测的足球比赛。程序优势请看Advantages和README文件。程序3.0版本:(第三轮目前13中12) 8月10日:13让负(正确) 8月11日:27让负(正确) 8月12日:11让负(正确) 8月13日:6胜(不正确) 8月14日:25让负(正确) 8月15日:无预测 8月16日:1胜(正确) 8月17日:6让负(正确) 8月18日:16胜(正确) 8月19日:34让负(正确) ... 1.0版本(第一轮为11中9) 2.0版本(第二轮13中11).

Size: 29.7 MB - Last synced: 7 months ago - Pushed: almost 2 years ago - Stars: 411 - Forks: 246

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: Python - Size: 31.1 MB - Last synced: 9 months ago - Pushed: 9 months ago - Stars: 2 - Forks: 1

saife245/MACHINE-LEARNING-PROJECTS

Language: Jupyter Notebook - Size: 26.1 MB - Last synced: about 1 year ago - Pushed: over 5 years ago - Stars: 7 - Forks: 7

n4ze3m/CL-Bot

UEFA Champions league future results tweeting bot

Language: Python - Size: 17.6 KB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

ElToro13/Python

Python Folder

Language: Python - Size: 3.05 MB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0