Table 7

Results for regularised zero-inflated Poisson regression model

For the count outcome of the model:
Count model or log(λi)=(0.022∗weight−0.008∗sum of 4 sites skinfold thickness−0.006∗time in activity+0.35∗training−0.94∗conditioning+094∗artificial turf 3G+0.04∗previous injuries−0.295∗acute:chronic workload ratio+0.001∗total time match-play (3G)+0.002∗total time trained (grass)−0.005∗total time (futsal)−0.0004∗total time (conditioning)+0.182∗total time (conditioning))

For the count outcome of the model:

Count model or log(λi)=(0.022∗weight−0.008∗sum of 4 sites skinfold thickness−0.006∗time in activity+0.35∗training−0.94∗conditioning+094∗artificial turf 3G+0.04∗previous injuries−0.295∗acute:chronic workload ratio+0.001∗total time match-play (3G)+0.002∗total time trained (grass)−0.005∗total time (futsal)−0.0004∗total time (conditioning)+0.182∗total time (conditioning))