The BHA publishes trainer non-runner rates every quarter. The data is free, it is detailed, and almost nobody in the betting public uses it. That disconnect is remarkable when you consider what the numbers reveal: which yards withdraw horses at above-average rates, which trainers have lost the right to self-certify non runners, and which operations run so tightly that their declarations can be treated as near-commitments.
Trainer NR data is one of the few datasets where the regulator hands the punter a genuine analytical edge. It does not predict winners, but it does predict which runners are more likely to make the racecard — and which are more likely to disappear before the off. For anyone building a pre-race checklist, the trainer’s record belongs on it.
Where to Find Trainer NR Data — BHA’s Quarterly Tables
The primary source is the BHA’s Trainers Non-Runners page, which publishes quarterly tables listing every licensed trainer’s NR rate for the preceding period. The data includes the number of declarations, the number of withdrawals, and the resulting percentage. It is broken down by code — Flat and Jump are reported separately — and the tables are sortable, making it straightforward to identify outliers.
The average NR rate for Jump trainers in 2024 was 6.01%, with a range from 0% at the cleanest yards to 13.39% at the other end of the spectrum. That spread is significant. A trainer at 13% is withdrawing roughly one in eight declared horses — a rate more than double the average and enough to trigger BHA sanctions. A trainer at 2% is standing by almost every declaration, which means their runners carry a much lower probability of becoming non runners on the morning of the race.
The data is also available in historical form for those willing to dig. Comparing a trainer’s NR rate across multiple quarters reveals whether a high figure is a one-off spike — perhaps driven by a bad run of weather or a stable virus — or a persistent pattern. Persistent high rates are the more useful signal for betting purposes, because they indicate a structural tendency rather than a temporary problem.
Flat 12% and Jump 9% — How the Self-Certification Thresholds Work
The BHA does not just publish the data — it acts on it. The thresholds are explicit: any Flat trainer whose NR rate exceeds 12%, and any Jump trainer whose NR rate exceeds 9%, is flagged for potential sanctions. These figures are set at approximately 50% above the code average, calibrated to capture persistent outliers rather than trainers who had one difficult quarter.
The 12% Flat threshold and 9% Jump threshold reflect the different realities of the two codes. Jump racing operates through winter, when weather-driven withdrawals are more common, and the going can shift dramatically between declaration and race day. The lower threshold for Jump trainers acknowledges this baseline volatility — even a well-run yard will have more NRs in January than in July.
For trainers with 100 or more declarations in the quarter, the threshold is applied automatically. If the NR rate exceeds the limit, the sanction follows without discretion. For smaller yards — those with fewer than 100 declarations — the BHA applies judgment, taking into account the sample size and the circumstances of individual withdrawals. A trainer with 30 declarations and four NRs technically has a 13.3% rate, but the BHA may recognise that small samples produce volatile percentages.
The thresholds are recalculated each quarter based on the overall code average. If the industry-wide NR rate drops, the thresholds drop with it. This means the system tightens as trainers collectively improve, maintaining the pressure on outliers even as the baseline falls. It is a self-adjusting mechanism that keeps the goalposts in the right place.
What a High NR Rate Tells You — And What It Doesn’t
A high NR rate is a signal, not a verdict. It tells you that a trainer withdraws horses more often than average. It does not tell you why, and the reasons matter.
Some yards have high NR rates because they operate large strings of horses and enter multiple runners in the same race, knowing that only one or two will ultimately run. This is a legitimate tactical approach, particularly at major meetings where nominations close weeks in advance. The NR rate for these trainers is inflated by entries that were never intended to be firm commitments.
Other yards have high NR rates because of ground sensitivity. A trainer specialising in fast-ground horses will inevitably have more withdrawals during a wet winter than a yard that buys for soft ground. The NR rate reflects the mismatch between the trainer’s stock and the conditions, not a lack of professionalism.
Where the high NR rate becomes genuinely informative is when it persists across seasons and across different conditions. A yard that withdraws at 12% in summer and 12% in winter, regardless of the going, is either running a structurally cautious operation or has a systemic issue with declarations. That pattern is more useful to the punter than a single-quarter spike caused by a stable illness.
The data also tells you what it cannot tell you: it does not distinguish between withdrawals that were made for welfare reasons and those that were made for tactical ones. A trainer who pulls a horse because the vet found a problem that morning is doing the right thing. A trainer who pulls a horse because the going is half a grade softer than ideal is making a judgment call. The NR rate treats both the same.
The Self-Certification Ban — What Happens When a Trainer Crosses the Line
The primary sanction for exceeding the NR threshold is the loss of self-certification rights. Self-certification is the mechanism by which a trainer can withdraw a horse without a veterinary certificate — the trainer simply states that the horse is not fit to run, and the NR is processed.
Once a trainer is banned from self-certifying, every withdrawal must be supported by a signed veterinary certificate. This means the trainer must arrange for a vet to examine the horse, confirm the reason for withdrawal, and provide documentation. It adds time, cost, and administrative burden to every NR. More importantly, it removes the easy route — the self-cert that required no external validation — and forces the trainer to justify each withdrawal to an independent professional.
The ban lasts 12 months and is published by the BHA. The 2018 enforcement round, which saw 13 trainers banned from self-certifying in a single action, sent a clear message about the regulator’s willingness to use the tool. Since then, the threat of the ban has acted as a deterrent, and the quarterly tables show fewer trainers at the extreme end of the NR distribution than before the 2017 reforms.
For the punter, the ban itself is useful information. A trainer who is currently under a self-cert ban can only withdraw horses with veterinary backing. That means their remaining NRs are more likely to reflect genuine welfare or fitness concerns rather than tactical decisions. Paradoxically, a horse declared by a banned trainer that makes the racecard is a stronger signal of intent to run than the same horse from a yard with full self-certification privileges.
Adding Trainer NR Rate to Your Pre-Race Checklist
Incorporating trainer NR data into your betting process does not require a spreadsheet or a database. It requires a habit: before backing any horse, check the trainer’s NR rate on the BHA page and note whether it is above or below the code average.
If the trainer’s NR rate is below average — say, under 4% on the Flat or under 5% on the Jumps — the declaration carries more weight. This trainer stands by their runners. The horse is likely to be in the racecard when you wake up on race morning, and the risk of a last-minute void is lower than the field average.
If the NR rate is above average — particularly if it is near or above the threshold — approach the declaration with more caution. This is not a reason to avoid the horse, but it is a reason to wait. Wait for the final declarations. Wait for the going report on the morning of the race. Wait until you are confident the horse will actually run before committing your stake. The trainer’s record tells you the probability of withdrawal, and probability is information you can act on.
During festival season, when multiple trainers have entries across several days and the going can shift between declaration and race day, the NR rate becomes even more valuable. Trainers with historically high NR rates at Cheltenham, Aintree, or Ascot are the ones most likely to withdraw in response to changing conditions. Cross-referencing the trainer’s record with the going forecast gives you the clearest pre-race picture of which runners are safe and which are fragile.