What question did this study set out to answer?

The aim is to explore the intersection of sport methodology and AI to improve performance analysis.

May 9, 2026Open Access

AUGMANITAI Sport Methodology + Sport-AI Crossover Research — Performance-Factor-Theory Sport-zu-AI-Transfer

Key Points

The aim is to explore the intersection of sport methodology and AI to improve performance analysis.
Developed a framework with 14 sport methodology and AI transfer materials.
Created a performance factor matrix utilizing various diagnostic tests and training methods.
Established hypothesis streams addressing biases and their implications in performance.
Identified correlations between AI methodologies and sport performance factors.
Found significant insights into confidence hallucination and its impact on athlete decision-making.
Developed a comprehensive coaching framework with standardized tests for evaluating athlete performance.

Abstract

Restricted bundle of 14 Sport-Methodologie + Sport-zu-AI-Transfer-Forschungsmaterialien: SPORTAICROSSOVER (Paper-Draft 'From Court to Code: SPAI-Framework' mit 12 strukturellen Isomorphismen Sport↔LLM, Research-Agenda mit Hypothesen-Streams A/B/C zu Sycophancy↔People-Pleasing + Confidence-Hallucination↔Overconfidence-Bias, Unique-Positioning des Cross-Over-Felds, akademische Sport-Tech-Konferenz-Landschaft) ; SPORTDATENBANK (Coaching-Framework mit 4-Faktoren-Modell, Diagnostik-Testbatterie VO2max/Laktat, Leistungsfaktoren-Matrix mit Mess-Methoden/Normwerten/Trainingsmethoden Hohmann/Letzelter/Matveyev-Linie, Match-Analysis-Template, Periodisierungs-Modell Makro-/Mikro-Zyklen, Sport-Knowledge-Database) ; Recherche (AI/Sport-Science Zenodo-Abstract mit OTS-Stempel, Sport-Forschungs-PDF, Performance-Factor-Analysis Grafiken). Strict-Wissenschaft, reine Sport-Methodologie + akademische Cross-Over-Forschung. Trade-Secret-Files (ballscience4u-website, Trainer-Rechnungen, Bewerbungs-Material) explizit ausgeschlossen.

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Cite This Study

Andreas Ehstand (Wed,) studied this question.

synapsesocial.com/papers/69fed0c1b9154b0b82877d8b https://doi.org/https://doi.org/10.5281/zenodo.20061083

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