Multidimensional match performance dataset - Wyscout & Transfermarkt

Match performance analysis stands at the forefront of football research, offering profound insights into the dynamics of player and team behaviours. While we encourage those seeking detailed <b>event data</b> to explore the A public data set of spatio temporal match events in soccer.Our data sets allow to use original <b>event data</b> from <b>Wyscout</b>, but with our record link tables, they could incorporate information on <b>injuries </b>or <b>market values</b> from <b>Transfermarkt</b>.In this <b>Multidimensional match performance dataset</b>, we aggregated the event data at a match level by counting the total number of each event type that occured during the match.This option streamlines the initial stages of data collection and aggregation, which is particularly beneficial for those working at a higher level of analysis.The dataset contains the following fields (categorized by dimension):<br><b>Match Information(Wyscout) :</b> match_id, label, winner, coachId, side, goals_scored, goals_scored_Penalties,<br>goals_scored_HalfTime, scoreET, status, gameweek, dateutc, venue, date, referees, duration<b>Competition Information(Wyscout): </b>competition_wyId, competition_name, competition_format, competition_area, competition_type, roundId, seasonId, groupName<b>Team Information(Wyscout)</b>: teamId, teams_city, teams_name, teams_officialName, teams_area, teams_type, teamsData<b>Player Information(Wyscout):</b> player_id, shortName, firstName, middleName, lastName, weight, birthDate, height, foot,passportArea/name, passportArea/id, passportArea/alpha3code, passportArea/alpha2code,role/code2, role/code3, role/name, birthArea/name, birthArea/id, birthArea/alpha3code,birthArea/alpha2code, currentTeamId, currentNationalTeamId<b>Player Selection(Created from Wyscout):</b> selected, played, started, minutes_played, sub_in, sub_out<b>Match performances(Created from Wyscout):</b> - <b>Duels</b> : Air duel, Ground attacking duel, Ground defending duel, Ground loose ball duel<b>; </b><b>Fouls:</b><b> </b>Foul, Hand foul, Late card foul, Out of game foul, Protest, Simu-<br>lation, Time lost foul, Violent Foul; <b>Free Kicks:</b><b> </b>Corner, Free Kick, Free kick cross, Free kick shot, Goal kick,<br>Penalty, Throw in; <b>Goalkeeper leaving line; </b><b>Interruptions:</b> Ball out of the field, Whistle; <b>Offside; </b><b>Others on the ball:</b><b> </b>Acceleration, Clearance, Touch; <b>Passes:</b> Cross, Hand pass, Head pass, High pass, Launch, Simple pass,Smart pass; <b>Save attempts:</b> Reflexes, Save attempt; <b>Shots</b><b>Injury(Transfermarkt):</b> was_injured, Injury_index, Injury, Injury_from, Injury_until, Days, Games_missed<b>Market Value(Transfermarkt):</b> last_market_value_at_match_date_eur, last_market_value_at_match_date_index<br>Here are the sources of the differents datasets:Transfermarkt (Open Data)Wyscout: A public data set of spatio-temporal match events in soccer competitions<br>The scientific article explaining the data set will be available soon.赛事表现分析是足球研究的前沿领域，可为球员与球队的行为动态提供深刻洞察。我们鼓励寻求详细<b>赛事数据（event data）</b>的研究者，查阅《足球时空赛事公开数据集》。本数据集支持使用来自<b>维斯库特（Wyscout）</b>的原生<b>赛事数据</b>，同时通过我们的记录关联表，可集成来自<b>德转市场（Transfermarkt）</b>的<b>伤病（injuries）</b>与<b>市场价值（market values）</b>相关信息。在本<b>多维赛事表现数据集（Multidimensional match performance dataset）</b>中，我们以单场赛事为单位对赛事数据进行聚合，统计每类赛事事件在整场比赛中的总发生次数。该方案可简化数据收集与聚合的初始流程，尤其适用于开展高阶分析的研究者。<br>数据集包含以下按维度分类的字段：<br><b>赛事信息（Wyscout）:</b> match_id, label, winner, coachId, side, goals_scored, goals_scored_Penalties,<br>goals_scored_HalfTime, scoreET, status, gameweek, dateutc, venue, date, referees, duration<br><b>赛事竞赛信息（Wyscout）:</b> competition_wyId, competition_name, competition_format, competition_area, competition_type, roundId, seasonId, groupName<br><b>球队信息（Wyscout）:</b> teamId, teams_city, teams_name, teams_officialName, teams_area, teams_type, teamsData<br><b>球员信息（Wyscout）:</b> player_id, shortName, firstName, middleName, lastName, weight, birthDate, height, foot,passportArea/name, passportArea/id, passportArea/alpha3code, passportArea/alpha2code,role/code2, role/code3, role/name, birthArea/name, birthArea/id, birthArea/alpha3code,birthArea/alpha2code, currentTeamId, currentNationalTeamId<br><b>球员出场选择信息（基于Wyscout构建）:</b> selected, played, started, minutes_played, sub_in, sub_out<br><b>赛事表现数据（基于Wyscout构建）:</b> <b>对抗（Duels）:</b> 空中对抗、地面进攻对抗、地面防守对抗、地面松散球对抗;<b>犯规（Fouls）:</b> 普通犯规、手球犯规、延迟出牌犯规、界外犯规、抗议犯规、假摔、延误犯规、暴力犯规; <b>任意球相关（Free Kicks）:</b> 角球、任意球、任意球传中、任意球射门、球门球、点球、界外球; <b>守门员出击（Goalkeeper leaving line）;</b> <b>比赛中断（Interruptions）:</b> 球出界、哨声鸣响; <b>越位（Offside）;</b> <b>其他触球事件（Others on the ball）:</b> 加速、解围、触球; <b>传球（Passes）:</b> 传中、手抛球传球、头球传球、高吊传球、长传、普通传球、精准传球; <b>扑救尝试（Save attempts）:</b> 反应扑救、扑救尝试; <b>射门（Shots）</b><br><b>伤病数据（Transfermarkt）:</b> was_injured, Injury_index, Injury, Injury_from, Injury_until, Days, Games_missed<br><b>市场价值数据（Transfermarkt）:</b> last_market_value_at_match_date_eur, last_market_value_at_match_date_index<br>以下为本数据集的不同来源：<br>德转市场（Transfermarkt，开放数据）<br>维斯库特（Wyscout）：《足球赛事时空事件公开数据集》<br>详细阐释本数据集的学术论文即将上线。