Everything Athleet.Ai has published on artificial intelligence in coaching, athlete development and performance sport.
In shortAthleet.Ai has published 26 pieces since 2023: 13 articles and 13 papers, covering coaching judgement, training load, talent identification, young athletes and the responsible use of AI in sport.
Force testing shows how hard and how fast an athlete pushes against the ground. Phone video at 240 fps now recovers several key force plate measures. AI can then turn the
Read →29 September 2026 · ArticleBlood lactate testing shows where easy becomes hard for each athlete: the science of LT1 and LT2, testing well, and how AI turns results into guidance. Written for coache
Read →8 September 2026 · ArticleGovernance is not a compliance appendix to sports AI. It is what makes the system usable under pressure. The five layers, why you classify the decision rather than the te
Read →16 July 2026 · ArticleConversational analysis could put advanced capability in every coach\u2019s hands. The five things a trustworthy answer must carry, why a domain model is more convincing
Read →16 May 2026 · ArticleThe most credible organisational promise of AI in sport is capacity, not prediction. What may be prepared, what must be owned by a human, and why time saved is the wrong
Read →15 April 2026 · PaperGolf measures more per shot than almost any sport and remembers less. What the Rules already decide, why spin rate is not a basis for a decision, and what actually moves
Read →17 March 2026 · ArticleA physical output without its sporting context can mislead. How linking event data, tracking, video and coach observation turns numbers into clips, and why automated tagg
Read →15 February 2026 · PaperFootball measures more than any sport and forgets faster than most. Why the next advantage is decision intelligence, and what the availability and congestion evidence rea
Read →16 January 2026 · ArticleComparing an athlete with a population is not individualisation. The five layers of an athlete context graph, why the same training-load value can mean opposite things in
Read →15 December 2025 · PaperSix apps and nobody in charge is the normal condition of the age-group triathlete. Why reconciliation beats prescription, and what the evidence really says about readines
Read →17 November 2025 · ArticleAdding another dashboard rarely changes behaviour. As athlete-management systems absorb AI, the coach role expands from interpreting reports to designing the decision env
Read →15 October 2025 · PaperFootball’s talent net is wide and full of holes cut by birth month, maturity and geography. Why AI should add capacity and memory rather than prediction, and what must ne
Read →18 September 2025 · ArticleHigh-performance sport is not short of data. It is short of interpretation time. Where artificial intelligence genuinely helps coaches prepare better decisions, and the m
Read →15 August 2025 · PaperCommunity athletics has a capacity problem, not a data problem. What AI can honestly do for the volunteer coach, and the four things it must never be pointed at in youth
Read →15 June 2025 · PaperAthletics has more measurement than shared understanding. Why event-specific expertise matters, what the workload ratio evidence really shows, and why continuity beats pr
Read →15 April 2025 · PaperSport is buying AI faster than it is governing it. A governance and assurance model built on five controls, with the evidence on why injury prediction fails and what to m
Read →1 March 2025 · ArticleIIntroducing AI for Parents of Young Athletes since raising a young athlete is a rewarding yet challenging journey. AI for Parents of Young Athletes: Supporting Their Jou
Read →1 February 2025 · ArticleUnlock your athletic potential with Athleet.Ai’s Athlete Edition! In a world where performance optimisation is key, this innovative platform uses Artificial Intelligence
Read →1 January 2025 · ArticleTrack and field coaching is evolving, driven by the integration of Artificial Intelligence and data-driven tools. With platforms like Athleet.Ai, coaches can streamline t
Read →1 September 2024 · ArticleEmpower coaches with responsible AI: Athleet.Ai refines track & field performance, fueling progress while preserving the vital human bond for enduring success!!
Read →26 July 2023 · PaperAI puts expert-level planning support in a volunteer’s pocket and hands the best-resourced programmes a compounding advantage. Both happen at once, and the gap can widen
Read →21 June 2023 · PaperA metric can be contested in the literature and uncontested on the screen. The danger in load monitoring is not missing data, it is apparent precision arriving in front o
Read →24 May 2023 · PaperTwo 13-year-olds score 71. One is ten months older and further through her growth spurt. The tool has no way to say that the second score is the stronger signal, and a pl
Read →19 April 2023 · PaperA child cannot consent to uses of their data that nobody can yet describe, and in a selective pathway refusal is never free. The remedy is structural rather than a better
Read →27 February 2023 · PaperCoaching expertise is formed in the gap between a plan and an athlete. A tool that makes the planning decision closes that gap, and the benefits arrive quickly while the
Read →25 January 2023 · PaperA model trained on who was selected learns the pathway that produced it, relative age and early maturation included. Pointed at 12-year-olds, it repeats those distortions
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