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Why We Publish Our Horse Racing Model’s Track Record—Wins, Losses and All

Publishing wins and losses together lets readers assess a horse-racing model beyond its highlights. Learn what to check in the record and why past results are not a guarantee.
From TheFinanceBase Team3 min to read
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Publishing wins and losses together makes a horse-racing model’s record easier to scrutinize than a highlight reel. It lets readers see whether the publisher is showing the full run of selections, including losing streaks, and ask how picks, prices and results are recorded. A track record is evidence to evaluate—not a promise of future performance or betting returns.

What a published track record can show

Wins alone tell only part of the story. A record that includes losing selections gives readers a clearer view of how a model has performed across its stated sample, rather than inviting them to judge it by selected successes.

Winsmore says it publishes a pick for each race and records the outcome, including losses; it says the public record can show losing runs such as “0 from 11.” That is Winsmore’s description of its record, not an independently audited finding. Its How it works page also reports using more than 90,000 UK races and over 800,000 individual runs since 2020, Betfair pricing data going back to 2015, and more than 900 selections each month. The page excerpt does not state a publication year for those figures, and they have not been independently verified here.

Those figures describe the scale of data and selections Winsmore says it uses or tracks. They do not, by themselves, establish a win rate, profit, return on investment, or predictive accuracy. A large sample is useful context, but readers still need the method behind the published results.

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How to assess a racing model’s record

Before comparing models, check whether their records measure the same thing. A tally of winners is not the same as a profit calculation: returns depend on the odds used, stake assumptions, settlement rules and whether every qualifying selection is counted.

  • Coverage: Does the record include every selection and make skipped races clear, or show only selected highlights?
  • Timing: Is each pick timestamped or otherwise fixed before the race outcome is known?
  • Settlement: Which results source settles a pick, and how are non-runners, void bets, dead heats and later corrections treated?
  • Prices and returns: Is the measure a strike rate, flat-stake profit, ROI or something else? Which odds are used, and when were they captured?
  • Scope: What dates, race types, venues and geographies are included?
  • Versions and corrections: Can readers identify the model version behind a selection and see whether historical data or figures were later corrected?

FormRace’s published methodology illustrates why these details matter: it describes choices that affect reported ROI and discloses a historical pricing issue that required older figures to be rerun. Its performance information also cautions that historical results do not predict future results. The example is a reminder to read the methodology, not evidence that two publishers’ figures are directly comparable.

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Why wins and losses cannot promise future returns

A past record can help readers examine what happened under the stated method and sample. It cannot establish that the same results will continue. Winsmore itself says a strong long-run record can still include losing days; actual betting outcomes also depend on prices and settlement, not just whether a selection wins.

The sources cited here do not provide an independently audited win rate, ROI, profit figure, calibration analysis or common benchmark for the model. Without those, a reader should not infer a likely return from a published win/loss count or treat historical performance as a forecast.

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Where official racing data fits

Official racing information can supply useful context, but it does not validate a particular prediction model. The British Horseracing Authority says its racing statistics are intended to make key data available to decision-makers and the wider public. Its explanation of horse performance figures describes figures calculated for each horse in each race, which can help indicate the level normally needed to win or place. Those are measures of racing performance, not proof of a model’s predictive success.

The Jockey Club describes Equibase as the Thoroughbred industry’s official database and has reported making a year of past-performance data and results charts available for research and evaluation. That supports the value of historical racing data for analysis; it does not independently confirm Winsmore’s data, methods or results.

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