ATP and WTA Professional Tennis Match Data Segmented by Individual Players, 2007-2021

The data is used to investigate the gender differences in the momentum effect in best-of-three competitions between equally matched opponents.The raw data used were obtained from the public tennis data website tennis-data.co.uk and cover ATP men's and WTA women's professional tennis matches from 2007 to 2021. It includes information on the location of the matches, tournament names, type of court, court surfaces (hard, clay, etc.), player names, player rankings, set scores, betting odds, and so on. Due to differences in the match formats between some men's and women's tennis tournaments, to enable meaningful comparisons, matches from the four Grand Slams were excluded from the analysis. The data processing also included merging the data for men's and women's matches, removing data from some best-of-five matches that were incorrectly categorized as best-of-three matches, and splitting the data of the two competitors in each match into individual player data. Finally, I obtained individual player data for 112,138 player instances, corresponding to 56,069 matches, covering 175 cities or regions where the matches were held, 337 types of tournaments, 43 series, and 5 types of court surfaces.

本数据集用于探究势均力敌的对手之间的三局两胜制赛事中动量效应的性别差异。本次研究所用原始数据取自公开网球数据网站tennis-data.co.uk，覆盖2007年至2021年间ATP（Association of Tennis Professionals）男子职业网球赛事与WTA（Women's Tennis Association）女子职业网球赛事的相关比赛。数据集包含赛事举办地、赛事名称、场地类型、场地表面（硬地、红土等）、选手姓名、选手排名、盘分、博彩赔率等相关信息。鉴于部分男女网球赛事的赛制存在差异，为确保分析结果具备可比性，本研究剔除了四大满贯赛事的相关数据。数据处理环节还包括合并男女赛事数据、移除部分被错误归类为三局两胜制的五盘三胜制赛事数据，以及将每场赛事中的两名参赛选手的数据拆分为独立的选手个体数据。最终本研究共得到112138条选手个体数据样本，对应56069场赛事，覆盖175个赛事举办城市或地区、337种赛事类型、43个赛事系列以及5种场地表面类型。