What analysts should check before trusting transfer-fit simulations
03 July 2026
Trust transfer-fit simulations when rollouts use verified events, legal possessions, VAEP-style value, lineup context, many samples, and a post-transfer holdout. Otherwise the model can recommend a player from sequences that could not happen.
ScoutGPT turns transfer fit into a counterfactual possession problem. Hong et al.’s March 16th arXiv paper frames a transfer as a change in event sequences under a hypothetical lineup, with Monte Carlo sampling used to estimate unobserved scenarios.
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