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Coexistence of Distinct Performance Models in High-Level Women's Volleyball
Lorenzo Laporta1, Alexandre Igor Araripe Medeiros2, Nicole Vargas3
1Universidade Regional Integrada do Alto Uruguai e das Missões (URI/Santiago) (Santiago, Brasil).
Different volleyball teams exhibit unique game models, even at the highest competitive levels. Social network analysis reveals multiple pathways to expert performance, challenging traditional talent identification models.
Area of Science:
- Sports Science
- Performance Analysis
- Social Network Analysis
Background:
- Generalizing sports performance can overlook crucial variability.
- Understanding diverse game models at elite levels is essential.
Purpose of the Study:
- To investigate the coexistence of different game models in elite volleyball.
- To demonstrate how social network analysis can map team strategies.
Main Methods:
- Analyzed six volleyball matches from the 2014 World Grand Prix Finals.
- Utilized social network analysis with degree centrality in Gephi Software.
- Modeled game actions as nodes and interactions as edges across 56 sets and 7,176 ball possessions.
Main Results:
- Confirmed the coexistence of distinct performance models among the six national teams.
- Observed significant variations in attack zones, tempos, defensive lines, and block opposition centrality.
- Each team displayed a unique and identifiable game model.
Conclusions:
- Multiple pathways to expert performance exist within a single sport.
- Elite sports performance is not defined by a single optimal model.
- Re-evaluating monolithic talent identification and selection models is recommended.
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