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Record W4362519900 · doi:10.1177/17479541231164090

Additional substitutions in elite European football

2023· article· en· W4362519900 on OpenAlexaff
Johannes Meyer, Stefanie Klatt

Bibliographic record

VenueInternational Journal of Sports Science & Coaching · 2023
Typearticle
Languageen
FieldMedicine
TopicSports Performance and Training
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsLeagueFootballEliteCompetition (biology)ClubPolitical scienceLawPoliticsBiology

Abstract

fetched live from OpenAlex

In 2020, the International Football Association Board (IFAB) introduced a temporary rule amendment of two additional substitutions in regular time. In this study, we assess the impact of this rule change with regard to player relief, tactical influence by the coaches and the development of young players. Data were collected from 3652 matches from the top 5 leagues in the Union of European Football Associations (UEFA) rankings and 659 UEFA club competition matches (Champions League and Europa League) in 2 different seasons (pre-rule amendment: 2018/2019 vs. post-rule amendment: 2020/2021), comparing leagues that introduced two additional substitutions with those that did not. The results show that with two additional substitutions, the reduction in player load was increased by 46%. Despite being used infrequently, the rule change resulted in 45% more substitutions and, therefore, greater tactical influence by the coaches. Furthermore, two additional substitutions benefit young players’ development with an 81% increase in playing time. While the aim of the temporary amendment to the laws of the game was achieved with the additional substitutions by compensating for the increased load on the players, coaches’ substitution behaviour shows potential for improvement.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.167
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.026
GPT teacher head0.317
Teacher spread0.291 · 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.

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

Citations16
Published2023
Admission routes1
Has abstractyes

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