A repository of tools to assist in handicapping cycling events
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Updated
Jan 16, 2026 - Python
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handicapping
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Data-driven woodchopping tournament management: ML/LLM handicap prediction, Monte Carlo fairness validation, multi-round/multi-event flows, AAA-rules compliant. Engine: STRATHMARK.
python cli machine-learning monte-carlo xgboost decision-support qaa handicap sports-analytics llm ollama tournament-management handicapping timbersports woodchopping axemen aaa-rules strathmark
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Updated
May 8, 2026 - Python
Woodchopping handicap engine — pip-installable calculation core for timbersports tournaments. Computes Standing Block and Underhand marks with a Manual > LLM > ML > Baseline > Panel cascade, 2-year time-decay weighting, absolute ±3s variance, and Monte Carlo fairness validation. Extracted from STRATHEX.
python machine-learning tournament monte-carlo pandas xgboost monte-carlo-simulation lumberjack axe fairness chainsaw handicap sports-analytics fastapi llm ollama handicapping timbersports woodchopping axemen
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Updated
May 8, 2026 - Python
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