Relationship between number of substitutions, running performance and passing during under-17 and adult official futsal matches
Bibliographic record
Abstract
The aim of the study was to analyse the relationship between running performance and passes, as well as the effect of substitutions and the competitive level on these variables, during official futsal matches. Male juvenile athletes were filmed during five official games in the Youth Games competition and adult athletes were monitored during National League. The athletes were tracked to obtain their trajectories for subsequent quantification of physical actions, number of substitutions and passes during the games. Impairment in running performance, number of passes and number of substitutions were recorded using video cameras and analysed on a computer-based tracking system. The number of substitutions contributed singly to increasing total distance covered, very high-intensity running (%VHIR), and certain passes, regardless of possible differences between under 17 and adult categories. Players with a decrease in %VHIR presented lower (p = 0.039) pass efficiency (4% below). The adult players demonstrated that drop in running performance and successful passes in a futsal game may be observed from the second quarter, not only in the second half as shown in previous studies in futsal. Substitution of players is an important strategy to be used by coaches to improve running performance and passes in futsal games.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".