A directory containing the data for football match prediction is linked to the code at https://github.com/enricocattaneo/football-match-prediction. To use the data with the provided code, name the directory as Data inside the main football_prediction directory (at the same level as the Code directory).

This directory contains football match data from the top five European leagues (Bundesliga, La Liga, Ligue 1, Premier League, and Serie A) from the 2016/2017 season to the 2021/2022 season, also including domestic and European cups for feature creation.

The data was gathered from three online sources: • Sportmonks football API • FIFA index website • Visual Crossing Weather API

From the Sportmonks football API, we acquired detailed information about football fixtures, including game results, statistics, betting odds, in-game events, and starting lineup players. The FIFA index website contains details from the FIFA video games series referring to both teams' and players' attributes. The information from this source was extracted through web scraping. From the Visual Crossing Weather API, we attained meteorological variables referring to the weather conditions for the matches considered in our analysis.

Comprehensive football statistics including win percentages, goals, corners, and betting insights and tips. Updated daily.

FPM outperforms the baseline prediction based on win-loss standings every season in our dataset. The overall accuracy of our system is 63.4%.

Football Player Stats & ML Predictions

Subtitle: A comprehensive dataset of player statistics, role clusters, and machine-learning model prediction outputs.

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Comprehensive football statistics on the home team to win, including win percentages, goals, and betting insights. Updated daily.

Significance codes: ***: p < .001, **: p < .01, *: p < .05.

Comprehensive statistics on football matches ending in a draw, including team performance, odds, and betting insights. Updated daily.

Draws: Stats, Bets & Odds is a very popular market for football betting, and this page aims to serve as a list of highly-qualified fixtures. It will show you upcoming fixtures (and the teams playing in those fixtures) ranked by Draws: Stats, Bets & Odds occurance in their current season.

The difference represents . Significance codes: ***: p < .001, **: p < .01, *: p < .05. The home team advantage is also presented.

Comprehensive football statistics on away team wins, including win percentages, goals, and betting insights. Updated daily.

In recent years excessive monetization of football and professionalism among the players has been argued to have affected the quality of the match in different ways. On the one hand, playing football has become a high-income profession and the players are highly motivated; on the other hand, stronger teams have higher incomes and therefore afford better players leading to an even stronger appearance in tournaments that can make the game more imbalanced and hence predictable. To quantify and document this observation, in this work we take a minimalist network science approach to measure the predictability of football over 26 years in major European leagues. We show that over time, the games in major leagues have indeed become more predictable. We provide further support for this observation by showing that inequality between teams has increased and the home-field advantage has been vanishing ubiquitously. We do not include any direct analysis on the effects of monetization on football’s ...

Get the latest NAIA College Football game predictions, power and performance rankings, offensive and defensive rankings, and other useful statistics from VersusSportsSimulator.com.

Failed to Score Team Stats is a very popular market for football betting, and this page aims to serve as a list of highly-qualified fixtures. It will show you upcoming fixtures (and the teams playing in those fixtures) ranked by Failed to Score Team Stats occurance in their current season.

Half with Most Goals / Highest Scoring Half (2nd) is a very popular market for football betting, and this page aims to serve as a list of highly-qualified fixtures. It will show you upcoming fixtures (and the teams playing in those fixtures) ranked by Half with Most Goals / Highest Scoring Half (2nd) occurance in their current season.

BTTS First Half (Top-Performing Teams) is a very popular market for football betting, and this page aims to serve as a list of highly-qualified fixtures. It will show you upcoming fixtures (and the teams playing in those fixtures) ranked by BTTS First Half (Top-Performing Teams) occurance in their current season.

Over 2.5 Goals (Predictions and Top Teams) is a very popular market for football betting, and this page aims to serve as a list of highly-qualified fixtures. It will show you upcoming fixtures (and the teams playing in those fixtures) ranked by Over 2.5 Goals (Predictions and Top Teams) occurance in their current season.

Analyzing 7 fixtures for Over 2.5 Goals patterns. Highest rate: Czarni Połaniec at 100%. League average: 96%. Statistics updated in real-time as fixtures approach kickoff.

This dataset contains the predicted prices of the asset Football Coin over the next 16 years. This data is calculated initially using a default 5 percent annual growth rate, and after page load, it features a sliding scale component where the user can then further adjust the growth rate to their own positive or negative projections. The maximum positive adjustable growth rate is 100 percent, and the minimum adjustable growth rate is -100 percent.

Key to results data:

Div = League Division Date = Match Date (dd/mm/yy) Time = Time of match kick-off HomeTeam = Home Team Away team = Away Team FTHG and HG = Full Time Home Team Goals FTAG and AG = Full-Time Away Team Goals FTR and Res = Full-Time Result (H=Home Win, D=Draw, A=Away Win) HTHG = Half Time Home Team Goals HTAG = Half Time Away Team Goals HTR = Half Time Result (H=Home Win, D=Draw, A=Away Win)

Match Statistics (where available) Attendance = Crowd Attendance Referee = Match Referee HS = Home Team Shots AS = Away Team Shots HST = Home Team Shots on Target AST = Away Team Shots on Target HHW = Home Team Hit Woodwork AHW = Away Team Hit Woodwork HC = Home Team Corners AC = Away Team Corners HF = Home Team Fouls Committed AF = Away Team Fouls Committed HFKC = Home Team Free Kicks Conceded AFKC = Away Team Free Kicks Conceded HO = Home Team Offsides AO = Away Team Offsides HY = Home Team Yellow Cards AY = Away Team Yellow Cards HR = Home Team Red Cards AR = Away Team Red Cards HBP = Home Team Bookings Points (10 = yellow, 25 = red) ABP = Away Team Bookings Points (10 = yellow, 25 = red)