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Public Track Record

Every race. Every result. Published.

Our full historical performance for Australian thoroughbred flat racing. Including losing months. We publish everything.

Top Pick Win Rate

15.6%

2,798 races

Value Bet ROI

+24.1%

Lifetime, incl. losing months

Races Analysed

2,798

July 2025 – March 2026

Features / Runner

79+

XGBoost model

Last 30 Days — Live

Rolling performance updated continuously as new results settle.

58.4%

Model Accuracy

+14.2%

ROI

Monthly Breakdown

July 2025 – March 2026
MonthRacesWin RateValue Bet ROIResult
Jul 202524515.5%+20.7%
Aug 202531217.9%+43.6%
Sep 202532615.6%+76.3%
Oct 202533911.5%-23.6%
Nov 202535420.1%+172.0%
Dec 202530614.1%+8.0%
Jan 202635915.9%+97.3%
Feb 202630515.7%+66.7%
Mar 202625212.7%-31.4%

Including losing months. We publish everything.

The industry is full of selectively reported tips. We publish the full dataset — October 2025 and March 2026 were losing months. That's the reality of probabilistic betting, and you deserve to see it before deciding whether to trust the model.

Methodology

The Racin ML model is an XGBoost classifier + ranker trained on historical Australian thoroughbred flat-race data. It analyses 79+ engineered features per runner, including recent form, weight carried, barrier draw, class changes, track condition preferences, jockey and trainer strike rates, jockey-trainer combination history, distance aptitude, days since last start, and real-time market odds movements.

Predictions are walk-forward validated to prevent data leakage. Value bets are flagged when the model's predicted probability exceeds the implied market odds by 20% or more. Kelly-criterion sizing caps single-race exposure at 5% of bankroll (quarter-Kelly) and is gated by Monte Carlo simulation.

All figures on this page are from genuine backtests run against historical data. Live rolling 30-day metrics are computed from resolved predictions and refresh continuously.

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