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Abstract：
Statistical analysis of real in-game situations plays an increasing role in talent identification and player recruitment across team sports. Recently, visual exploration frequency (VEF) in football has been discussed as being one of the important performance-determining parameters. However, until now, VEF has been studied almost exclusively in laboratory settings. Moreover, the VEF of individuals has not been correlated with performance parameters in a statistically significant number of top-level players. Thus, the objective of the present study was to examine the relationship between VEF and individual performance parameters in elite football midfielders. Thirty-five midfielders participating in the Euro 2016 championship were analyzed using game video. Their VEF was categorized into scans, transition scans, and total scans. Linear regression analysis was used to correlate the three different VEF parameters with the passing percentage and the turnover rate for individual players. The linear regression showed significant positive correlations between scan rate (p = 0.033, R 2 = 3.0%) and total scan rate (p = 0.015, R 2 = 4.0%) and passing percentage but not between transition scan rate and passing percentage (p = 0.074). There was a significant negative correlation between transition scan rate and turnover rate (p = 0.023, R 2 = 3.5%) but not between total scan rate (p = 0.857) or scan rate (p = 0.817) and turnover rate. In conclusion, the present study shows that players with a higher VEF may complete more passes and cause fewer turnovers. VEF explains up to 4% of variance in pass completion and turnover rate and thus should be considered as one of the factors that can help to evaluate players and identify talents as well as to tailor training interventions to the needs of midfielders up to the highest level of professional football.
摘要：
对真实比赛情况的统计分析在团队运动中的人才识别和球员招募中起着越来越重要的作用。最近,足球中的视觉探索频率（VEF）已被认为是决定成绩的重要参数之一。然而,直到现在,VEF几乎只在实验室环境中进行了研究。此外，在具有统计学意义的顶级球员中，个人的VEF与性能参数没有相关性。因此，本研究的目的是研究精英足球中场球员的VEF与个人表现参数之间的关系。使用游戏视频对参加2016年欧洲杯冠军的35名中场球员进行了分析。他们的VEF被分类为扫描，过渡扫描,和总扫描。线性回归分析用于将三个不同的VEF参数与各个球员的及格百分比和换手率相关联。线性回归显示扫描率（p=0.033，R2=3.0％）与总扫描率（p=0.015，R2=4.0％）和通过百分比之间存在显着正相关，但过渡扫描率与通过百分比之间没有显着相关（p=0.074）。过渡扫描率与周转率之间存在显着负相关（p=0.023，R2=3.5％），但总扫描率（p=0.857）或扫描率（p=0.817）与周转率之间没有显着负相关。总之,本研究表明，具有较高VEF的球员可能会完成更多的传球并导致更少的失误。VEF解释了传球完成率和流失率高达4％的差异，因此应被视为有助于评估球员和识别人才以及根据中场球员的需求量身定制培训干预措施的因素之一。职业足球的最高水平。
