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Exploring elite soccer teams’ performances during different match-status periods of close matches’ comebacks

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  • Gomez, Miguel-Angel
  • Reus, Marc
  • Parmar, Nimai
  • Travassos, Bruno

Abstract

The aim of the present study was to examine winning and losing teams’ performances during the four different match-status periods that occur in close soccer matches’ comebacks (1° drawing; 2° winning/losing; 3° drawing; and 4° losing/winning). The variables (i.e., shots, passing effectiveness and ball possession) were gathered from 17 matches of the Spanish professional soccer league. Relative-phase analysis of ball possession between teams revealed a shift from anti-phase to in-phase relations from period 1 to 4. Pass efficacy revealed a particular trend of anti-phase relations in period 2 and the analysis of shots revealed similar phase relations between periods. Statistically significant differences were observed between winning and losing teams in Period 3 for ball possession and passing effectiveness. Also, statistically significant differences among periods were observed for winning teams in ball possession with period 4 as the most differentiated from the other periods. Besides, winning teams also showed significant differences between periods in passing effectiveness (period 4 vs 3), and in shots (period 3 vs periods 1, 2 and 4). On the other hand, ball possession showed significant differences for losing teams with periods 3 and 4 different than periods 1 and 2. The current findings can be used when controlling match-status scenarios and key performance indicators along the match.

Suggested Citation

  • Gomez, Miguel-Angel & Reus, Marc & Parmar, Nimai & Travassos, Bruno, 2020. "Exploring elite soccer teams’ performances during different match-status periods of close matches’ comebacks," Chaos, Solitons & Fractals, Elsevier, vol. 132(C).
    • Handle: RePEc:eee:chsofr:v:132:y:2020:i:c:s0960077919305235
    DOI: 10.1016/j.chaos.2019.109566
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    References listed on IDEAS

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    Cited by:

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    2. Marcelino, Rui & Sampaio, Jaime & Amichay, Guy & Gonçalves, Bruno & Couzin, Iain D. & Nagy, Máté, 2020. "Collective movement analysis reveals coordination tactics of team players in football matches," Chaos, Solitons & Fractals, Elsevier, vol. 138(C).
    3. Leonardo Lamas & José Vitor Senatore & Gilbert Fellingham, 2020. "Two steps for scoring a point: Creating and converting opportunities in invasion team sports," PLOS ONE, Public Library of Science, vol. 15(10), pages 1-16, October.
    4. Novillo, Álvaro & Gong, Bingnan & Martínez, Johann H. & Resta, Ricardo & del Campo, Roberto López & Buldú, Javier M., 2024. "A multilayer network framework for soccer analysis," Chaos, Solitons & Fractals, Elsevier, vol. 178(C).
    5. Ballı, Serkan & Özdemir, Engin, 2021. "A novel method for prediction of EuroLeague game results using hybrid feature extraction and machine learning techniques," Chaos, Solitons & Fractals, Elsevier, vol. 150(C).

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