Influence of pre-induced mental fatigue on tactical behaviour and performance among young elite football players
Bibliographic record
Abstract
Elite athletes are reportedly more resistant to mental fatigue and are less negatively influenced by pre-induced mental fatigue. However, such evidence has not been verified in the context of open sports, such as football. This study investigated the effects of pre-induced mental fatigue on tactical behaviour and performance among Brazilian male elite football players under 17 years (n = 18). The System of Tactical Assessment in Soccer (FUT-SAT) was utilised to assess the players’ tactical behaviour and performance. A [stratified] sample of players was assessed, with and without pre-induced mental fatigue. The Stroop test was used to induce mental fatigue. The Shapiro–Wilk test was used to verify the distribution of the data, and the paired t and Wilcoxon statistical tests were conducted to compare the paired groups of players. The results showed that players decreased the number of actions in the offensive and defensive phases under the condition of pre-induced mental fatigue. Contrarily, these players increased the efficiency of their actions and consequently improved their tactical performance. This probably occurred because players were more selective in their actions and focused more on the most relevant actions to solve problems when in play. It was concluded that young players could adapt their tactical actions, whether offensive or defensive, under the conditions of pre-induced mental fatigue.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".