Influence of Augmented Probabilistic Information on Defensive Motor Behaviors of 1 vs. 1 Basketball Play.

In this study we assessed the contribution of augmented probabilistic information on the motor behavior of novice defenders during 1 vs. 1 basketball play. More specifically, we aimed to investigate the influence of different probabilities of attacks to the basket (Level 1: High-probability of a single attack action; Level 2: Equal probability of two attack actions; Level 3: No-probability of an attack) on defensive reactions and their efficacy. Twenty-six novice participants volunteered and were assigned into three groups, based on their reaction time performance. Each participant performed 10 trials defending against typical basket attacks on a standard basketball court. Three experimental groups were primed regarding the probabilities of two forms of attack, either shooting at the basket or dribbling-past the defender (Group 1: 80% vs 20%; Group 2: 50% vs 50%; Group 3: No-probability of attack). Participants reacted earlier and with greater accuracy in the high-probability condition (80% vs 20%), than in the remaining conditions. We found that, in absence of kinematic information about their opponents, novice basketball players may have relied on the prior information we provided regarding an opponents' preferred actions during 1 vs. 1 basketball play. The provision of probabilistic information could be used as a training strategy to guide the defensive motor behaviors of novice basketball players when facing their counterparts in ball possession by favoring the use of anticipatory information to react earlier and successfully to the opponents' actions.