Anthropometric and physical performance characteristics of professional handball players: influence of playing position
Bibliographic record
Abstract
The aims of the study were to examine the anthropometric and physical performance characteristics of professional handball players classified by playing position.Twenty-one competitors (age: 25.2±5.1 years) were categorized as backs, pivots, wings or goalkeepers. Measures included anthropometrics (body height and mass), scores on the Yo-Yo Intermittent Recovery Test (total distance covered, TD), repeated-sprint ability (6 repetitions of 2x15-m shuttle sprints with recording of best time for a single trial, RSAbest) and performance on a complex handball test (HBKT) of throw slap (TS) and throw jump (TJ) with and without precision.The anthropometric data revealed a significantly lower body height for wings and pivots than for goalkeepers. Wings, pivots and goalkeepers were significantly shorter than backs, but had a similar BMI. The TD was greater for the wings (2.400 m) than for backs (1.832 m) and pivots (2.067m). Wings also achieved a better RSAbest (5.41 s) than backs (5.68 s) or pivots (5.82 s). Body height was significantly related to throw slap (TS) and jump (JT) (r=0.53, P<0.01; r=0.51, P<0.01 respectively). No significant difference (P=0.675; η2=0.009) was seen between JT with precision and JT without precision.Substantial differences of body build and physical performance between playing positions underline the importance of a careful assignment of such positions and the development of position-specific training for professional handball players by modifying both intermittent aerobic and anaerobic endurance components of training sessions.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".