[논문]시간과 공간적 특성에 따른 축구 패스 성공률 분석: 2018 러시아 월드컵 대회 자료를 중심으로

이승훈; 김영훈

doi:10.14400/jdc.2021.19.1.475

시간과 공간적 특성에 따른 축구 패스 성공률 분석: 2018 러시아 월드컵 대회 자료를 중심으로
Influences on Time and Spatial Characteristics of Soccer Pass Success Rate: A Case Study of the 2018 World Cup in Russia 원문보기

디지털융복합연구 = Journal of digital convergence, v.19 no.1, 2021년, pp.475 - 483

이승훈 (한국스포츠정책과학원 스포츠과학연구실) , 김영훈 (맥재활의학과의원)

초록
AI-Helper

이 연구는 2018 FIFA 러시아 월드컵 영상자료에서 수집한 2차 가공 데이터와 공식기록을 비교 및 활용하여 패스 정확도의 시간적, 공간적 특성을 규명 하는데 목적이 있었다. 이를 위해 총 128경기를 대상으로 경기결과, 패스 시간, 패스 위치에 따른 패스성공률을 반복측정 이원변량분석을 활용해 검증했다. 연구결과 승패 집단 간 패스성공률의 차이는 나타나지 않았으며, 패스시간 및 위치에 대한 상호작용효과도 발견되지 않았다. 패스시간에 따른 패스성공률은 전반전이 후반전에 비해 높게나왔으며, 15~30분 지점인 전반 중반(79.2%)과 60~75분 지점인 후반 중반(77.9%)에서 가장 높은 성공률을 보였다. 패스지역에 따른 패스성공률은 수비-미드필드지역(83.9%), 미드필드-공격지역(81.7%), 수비지역(70.6%), 공격지역(61.1%)순으로 나타났다. 결론적으로 월드컵 경기의 상대적 경쟁의 강도가 높은 특성에 따라 승패 팀의 패스성공률의 차이가 나타나지 않았다고 판단되며, 향후 다양한 매개변수를 적용해 승패 요소 보다는 경기내용 자체를 분석하기 위한 후속 연구가 필요하다.

Abstract ▼ AI-Helper

The purpose of this study is to identify the temporal and spatial characteristics of pass accuracy by utilizing the second processing data and official records collected from the 2018 FIFA World Cup Russia video data. For a total of 128 games, the success rate of passes based on the results of the game, passing time, and passing position was two-way ANOVA with repeated measure. The results showed no difference between winning and losing groups, and no interaction effects were found for passing time and location. The difference in passing time was high in the first half, with the highest success rate in the middle of the first half (79.2%) and the middle of the second half (77.9%) in the 15~30 minutes and the 60~75 minutes. Pass success rates were in the order of defense-midfield area (83.9%), midfield-attack area (81.7%), defense area (70.6%) and attack area (61.1%). In conclusion, there was no difference in the passing success rate of the winning and losing teams depending on the characteristics of the relative competitive strength of the World Cup games, and it is believed that follow-up research is needed to analyze the game contents rather than the factors of the winning and losing in the future.

주제어

표/그림 (10)

그림 Fig. 1. Input window for analysis in SportsCode
표 Table 1. Frequency of pass
그림 Fig. 2. Changes of pass success during time
그림 Fig. 3. Time flow of pass success
표 Table 2. Result of Two-way repeated measures ANOVA
표 Table 3. The success rate characteristics of the time flow
그림 Fig. 4. Changes of pass success each zone
그림 Fig. 5. Each zone of pass success
표 Table 4. Result of Two-way repeated measures ANOVA
표 Table 5. The success rate characteristics of the zone M±SD

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