From: Machine Learning for Understanding and Predicting Injuries in Football
External load | [33] | [35] | [39] | [41] | [42] | [43] | [44] | |
---|---|---|---|---|---|---|---|---|
Exposure | X | |||||||
Jumps | X | X | ||||||
Distance | X | X | X | X | ||||
Accelerations and decelerations | X | X | X | X | ||||
DSL (Total weighted impacts above 2 g) | X | |||||||
Duration | X | X | ||||||
Player load | X | X | X | |||||
Speed and velocity | X | X | X | |||||
Meterage per minute | X | |||||||
Total efforts | X | |||||||
High inertial movement analysis | X | |||||||
Average metabolic power | X | |||||||
Dynamic stress load | X | |||||||
Impacts | X | |||||||
Energy expenditure | X | |||||||
Step Balance | X | |||||||
Dribbling | X | |||||||
Sprint | X | |||||||
Jumping, moving and balancing | X | |||||||
Internal load —physical data | ||||||||
Body mass index | X | X | X | X | X | X | ||
Fat percentage | X | X | ||||||
Step yo-yo test | X | X | ||||||
Heart rate | X | |||||||
Ratings of perceived exertion (RPE) | X | |||||||
Internal load—psychological data | ||||||||
Sleep quality | X | X | ||||||
Physical exhaustion | X | |||||||
Reduced sense of exhaustion | X | |||||||
Sport devaluation | X | |||||||
Fatigue, shape, pain, pleasure, worry, satisfaction | X | |||||||
Personal information | ||||||||
Height and weight | X | X | X | X | X | |||
Age | X | X | X | X | X | X | X | |
Role of the player (Position)/field position | X | X | X | X | X | |||
Previous injury | X | X | X | X | ||||
Minutes played in previous games | X | |||||||
Number of games played | ||||||||
before each training session | X | |||||||
Dominant leg | X | X | ||||||
Current level of play | X | |||||||
Injury details | X | |||||||
Season stage | X | |||||||
Activity | X | |||||||
Phase of play | X | |||||||
Footwear | X | |||||||
Surface condition | X | |||||||
Sitting height, curl-ups, leg length | X | |||||||
75% Hop, SLCMJ, SLHD, Y-balance, TJ Knee | X | |||||||
ACWR and MSWR of training loads | X | |||||||
Neuromuscular training loads | X | X | ||||||
Total training load features | 55 | 65 | 151, 229 | 29 | 20 | 27 | 18 | 18 |