22 Aug FSI Football Science Update
Don’t Peak Too Early: Evidence for an ACL Injury Prevention Mechanism of the 11+ Program.
Sigurðsson HB, Briem K, Grävare Silbernagel K, Snyder-Mackler L.
In this study 3 teams (69 players) of collegiate female soccer athletes (Divisions I and II) were recruited. Two teams (49 players) volunteered to perform The 11+ three times per week for one season, and one team (20 players) served as controls. The players were tested before and after the season with a cutting maneuver, side shuffle direction change, and forwards to backwards running direction change using marker-based 3D motion capture, to estimate the time of the Knee valgus moment, classified as either “Very Early Peak”, “Early Peak” or “other”. The 11+ intervention reduced the frequency of Early Peak knee valgus moment in one intervention team, but not the other, and no effect was observed on the frequency of Very Early Peak knee valgus moment.
What are the significant turning demands of match play of an English Premier League soccer team?
Dos’Santos T, Cowling I, Challoner M, Barry T, Caldbeck P.
This study analysed data collected from an English Premier League soccer team (2020-2021 season; 18 fixtures) using a Sportlight® LiDAR tracking system. Approximately 90% of turns during matches were performed with entry speeds <5.5 m/s and ~63-70% were high angled turns. Central midfielders performed more total turns compared to all other playing positions
Pre-injury performance is most important for predicting the level of match participation after Achilles tendon ruptures in elite soccer players: a study using a machine learning classifier.
Diniz P, Abreu M, Lacerda D, Martins A, Pereira H, Ferreira FC, Kerkhoffs GM, Fred A.
This study mined the website transfermarkt.com between January and March of 2021, finding 209 soccer players who suffered an Achilles tendon rupture ATR. The difference between average minutes played per match (MPM) 1 year before injury and between 1 and 2 years after the injury allowed to group the players with a severe decrease (n = 34; – 59 ± 13 MPM), moderate decrease (n = 75; – 25 ± 8 MPM), maintenance (n = 70; 0 ± 8 MPM), or increase (n = 30; 32 ± 13 MPM). Most players take 1 year to reach peak match participation after an ATR. A machine learning model based on pre-injury match participation features can be used to predict whether a player will return to a previous level of match participation after an ATR.