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Record W3058382460 · doi:10.3389/fspor.2020.570937

Large Reductions in Match Play Physical Performance Variables Across a Professional Football Season With Control for Situational and Contextual Variables

2020· article· en· W3058382460 on OpenAlexaboutno aff
Matthew Springham, Sean Williams, Mark Waldron, Darren J. Burgess, Robert U. Newton

Bibliographic record

VenueFrontiers in Sports and Active Living · 2020
Typearticle
Languageen
FieldMedicine
TopicSports Performance and Training
Canadian institutionsnot available
Fundersnot available
KeywordsSprintAnimal scienceMathematicsFootballStatisticsQuarter (Canadian coin)DemographyPsychologyMedicinePhysical therapyGeographyBiology

Abstract

fetched live from OpenAlex

This investigation examined match play physical performance across a professional football season using a multi-camera computerized tracking system. A linear mixed-effects model, controlling for situational and contextual variables, identified decreases in team average total distance (TD): season quarter 1 (Q1) (11047 m) > season quarter 2 (Q2) (10473 m) (P=0.002; ES=Small), season quarter 3 (Q3) (10449 m) (P<0.001; ES=Moderate) and season quarter 4 (Q4) (10385 m) (P<0.001; ES=Moderate); work rate (WR): Q1 (115 m/min) > Q3 (108 m/min) (P<0.001; ES=Moderate), Q4 (107 m/min) (P<0.001; ES=Moderate); Q2 (109 m/min) > Q4 (107 m/min) (P=0.003; ES=Small); high-speed running distance (HSR): Q1 (1051 m) > Q2 (813 m) (P=0.006; ES=Small); number of high-speed runs (NHSR): Q1 (87) > Q2 (65) (P<0.001; ES=Small), Q3 (64) (P=0.002; ES=Small); sprint distance (SD): Q1 (202 m) > Q4 (130 m) (P<0.001; ES=Moderate), Q2 (179 m) > Q3 (165 m) (P=0.035; ES=Small), Q4 (130 m) (P<0.001; ES=Moderate) and number of sprints (NS): Q1 (20.4) > Q3 (10.2) (P<0.001; ES=Moderate), Q4 (8.3) (P<0.001; ES=Large); Q2 (14.9) > Q3 (10.2) (P<0.001; ES=Moderate), Q4 (8.3) (P<0.001; ES=Large). Within-position changes were observed for WR: Q1 (122 m/min) > Q4 (113 m/min) (P=0.002; ES=Large) in central midfielders and for NS: Q1 > Q3 in wide defenders (21.7 vs 10.8) (P=0.044; ES=Large) and central midfielders (18.1 vs 8.3) (P=0.002; ES=Large); Q1 > Q4 in central defenders (13.1 vs 5.3) (P=0.014; ES=Large), wide defenders (21.6 vs 7.1) (P<0.001; ES=Very Large), central midfielders (18.1 vs 8.5) (P=0.005; ES=Large) and wide midfielders (20.8 vs 12.2) (P=0.012; ES=Large); Q2 > Q3 in central midfielders (16.9 vs 8.3) (P=0.002; ES=Large) and Q2 > Q4 in wide defenders (16.3 vs 7.1) (P=0.005; ES=Very Large), central midfielders (16.9 vs 8.5) (P=0.004; ES=Large) and wide midfielders (20.8 vs 12.2) (P=0.007; ES=Large). Match-play physical performance reduced across the competitive season. The most notable reductions were observed in wide defenders, central midfielders and wide midfielders in sprint performance indices.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.037
Threshold uncertainty score0.526

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.010
GPT teacher head0.259
Teacher spread0.249 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations15
Published2020
Admission routes1
Has abstractyes

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