Percorrer por autor "Mandorino, Mauro"
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- Contextualized acceleration and deceleration profiles of elite soccer players during English Premier League match-play. The effect of possession, positional demands and opponent rankingPublication . Morgans, Ryland; Mandorino, Mauro; Ryan, Ben; Zmijewski, Piotr; Moreira, Alexandre; Oliveira, RafaelThis study aimed to compare accelerations (ACC) and decelerations (DEC) when in- (IP) and out of-possession (OP) during official English Premier League (EPL) match-play over three consecutive seasons considering playing position, match location and opponent ranking. Match data from 31 male professional soccer players was obtained via an optical tracking system. Playing position significantly influenced ACCIP, DECIP, and DECOP. Ranking difference and match location were significant predictors for DECIP, ACCOP, and DECOP. An increase in ranking difference was associated with higher DECIP. Conversely, in the out-of-possession phase (ACCOP and DECOP), a decrease in these parameters with increasing ranking difference was observed. Regarding match location, positive β coefficients suggested that DECIP, ACCOP, and DECOP values were significantly higher during away matches compared to home matches. A significant interaction (playing position × ranking difference) was reported for DECOP (𝛽 = 0.035, p = 0.013). Interestingly, DECOP actions decreased with increasing ranking difference across all playing positions except for wingers. In conclusion, these findings highlight that distinct contextual factors influence ACC and DEC performance during in- and out-of-possession phases of EPL match-play.
- The effect of contextualised match variables on the metabolic power of elite soccer players during English Premier League match-playPublication . Morgans, Ryland; Oliveira, Rafael; Mandorino, Mauro; Ryan, Ben; Zmijewski, Piotr; Modric, Toni; de Araújo Teixeria, José Eduardo; Moreira, AlexandreThis study examined the effect of contextualised match variables on metabolic power of elite soccer players during English Premier League (EPL) match-play across four seasons (2021/22–2024/25), comparing in-possession (MPIP) and out-of-possession (MPOP) phases. Match data from 31 male professional soccer players retrieved from 152 regular-season EPL competitive matches was obtained via an optical tracking system and analysed with decision tree regression models. The MPIP model demonstrated strong predictive accuracy (RMSE = 1.54; MPE = 2.04%), identifying playing position as the dominant predictor (88% of total feature importance). Defenders exhibited the lowest MPIP, while forwards in a 3-5-2 team formation showed the highest values (MPIP = 15.7 W · kg−1). Conversely, the lowest MPIP values (MPIP = 12.1 W · kg−1) were observed when the study team did not employ a 3-5-2 team formation and faced opponents with a ranking difference of less than eight positions. The MPOP model also demonstrated robust predictive performance (RMSE = 1.59; MPE = 1.30%). Playing position was the most influential factor (44% of total feature importance), with midfielders displaying higher MPOP. Forwards had the lowest MPOP in the second half, while the highest values (MPOP = 17.1 W · kg−1) were observed for midfielders when the team was losing in a 3-5-2 formation. These findings confirm that positional role is the principal determinant of metabolic power in EPL match-play, with midfielders particularly exposed to elevated demands out-of-possession. Tactical structure, match status, and match period further modulate metabolic load, highlighting the need to consider context-specific training strategies.
- The loading impact of training and match-play on non-contact muscle injuries in elite male soccer players. A seasonal analysisPublication . Morgans, Ryland; Mandorino, Mauro; Zmijewski, Piotr; Ryan, Ben; Modric, Toni; Teixeira, José; Moreira, Alexandre; Oliveira, RafaelThis study investigated the relationship between acute and chronic training load metrics and non-contact muscle injuries in elite soccer players employing a novel statistical approach. A retrospective analysis was conducted during the 2020/21 season on 30 senior outfield players from an English Premier League club. Global Positioning System (GPS) technology monitored total distance, high-speed running (HSR) distance (5.5–7 m/s), sprint distance (> 7 m/s), and peak speed during training sessions and matches. A total of 42 injuries were documented, with an incidence of 8.94 injuries per 1000 hours, although only 12 non-contact muscle injuries were included in the analysis that occurred at 2.5 per 1000 hours of exposure. Acute (7-day) and chronic (28-day) training loads were examined, and data preprocessing addressed missing values and multicollinearity. To address class imbalance, the dataset was balanced using the Synthetic Minority Over-Sampling Technique (SMOTE) prior to logistic regression. Four significant predictors were retained: acute HSR (β = -0.175, p < 0.001), acute sprint distance (β = -0.613, p < 0.001), acute peak speed (β = 1.101, p < 0.001), and chronic total distance (β = 2.234, p < 0.001). The model demonstrated excellent discriminative ability with an AUC-ROC of 0.80. The results showed that higher acute volumes of HSR and sprint distance serve as protective factors against non-contact muscle injuries, whereas an increase in acute peak speed and chronic total distance significantly elevates injury risk. These findings underscore the importance of regular exposure to HSR to enhance injury resilience, while excessive load and peak speed may contribute to neuromuscular fatigue and overload.