Longo Umile Giuseppe, Sofi Francesco, Candela Vincenzo, Risi Ambrogioni Laura, Pagliai Giuditta, Massaroni Carlo, Schena Emiliano, Cimmino Matteo, D'Ancona Fabrizio, Denaro Vincenzo
Department of Orthopaedic and Trauma Surgery, Campus Bio-Medico University, Via Alvaro del Portillo, 200, Trigoria,, 00128, Rome, Italy.
Centro Integrato di Ricerca (CIR), Campus Bio-Medico University, Rome, Italy.
BMC Sports Sci Med Rehabil. 2021 Mar 25;13(1):32. doi: 10.1186/s13102-021-00259-3.
Our previous study on the 2016/2017 Serie A season showed that a greater likelihood of reaching the top positions in the Italian league "Serie A" seemed to be mainly related to sprint activity, goal attempts, total throws, target shots and assists. Therefore, we aim to evaluate the following season data in the same league to compare, confirm, and improve these results.
The data of all the matches played during the "Serie A" 2017-2018 season were obtained from the Italian soccer league. The teams' analysis was performed in terms of total distance covered in km, jogging, running and sprint activities, average speed, and match statistics (total shots, shots on target, goal attempts, assists, turnovers, and steals).
Teams that reached the first four positions revealed a lower percentage of running (65.98 ± 1.51 vs. 66.84 ± 2.18; p < 0.001), a higher percentage of jogging (25.61 ± 1.71 vs. 25.30 ± 1.97; p = 0.037) and sprint activities (8.41 ± 1.04 vs. 7.86 ± 0.82; p < 0.001). Match statistics seem to be statistically different between the first four teams the other teams. The total goals are strongly associated both with the total score at the end of the championship (R = 0.906; p < 0.001) and with the position in the final ranking (R = 0.850; p < 0.001).
Our results suggest that high-level teams have a lower running rate and a higher percentage of jogging and sprinting than other teams.
我们之前对2016/2017赛季意甲联赛的研究表明，在意甲联赛中排名靠前的可能性更大似乎主要与冲刺活动、射门尝试、总传球次数、目标射门和助攻有关。因此，我们旨在评估同一联赛下个赛季的数据，以比较、确认并改进这些结果。
2017 - 2018赛季意甲联赛所有比赛的数据均来自意大利足球联赛。从总跑动距离（以千米为单位）、慢跑、跑步和冲刺活动、平均速度以及比赛数据统计（总射门次数、射正次数、射门尝试、助攻、失误和抢断）方面对各球队进行分析。
排名前四的球队的跑步比例较低（65.98 ± 1.51对66.84 ± 2.18；p < 0.001），慢跑比例较高（25.61 ± 1.71对25.30 ± 1.97；p = 0.037）和冲刺活动比例较高（8.41 ± 1.04对7.86 ± 0.82；p < 0.001）。前四支球队与其他球队之间的比赛数据统计在统计学上似乎存在差异。总进球数与赛季结束时的总分（R = 0.906；p < 0.001）以及最终排名中的位置（R = 0.850；p < 0.001）均密切相关。
我们的结果表明，高水平球队的跑步比例低于其他球队，而慢跑和冲刺的比例高于其他球队。
