The Dog Pound Results

All results shown below are based on live testing using a fully automated setup via BF Bot Manager. A 2% Betfair commission has been applied to all published figures.

This is a high-variance research framework operating at average odds of approximately 12.68 with a strike rate of approximately 10.4%. Performance should therefore be evaluated over large sample sizes rather than isolated weeks or months.

Want to check the evidence yourself? View the full Dog Pound bet-by-bet dataset.

Headline Performance (Live as at 31 August 2026)

Total Bets: 2,150

Total Profit: +472.14 units

ROI: ~22%

Strike Rate: 10.37%

Average Odds: 12.66

Longest Losing Run: 79 bets

Max Drawdown: ~−150 units

Monthly Performance

Publishing monthly results is an important part of the Trade Carefully philosophy. While individual months can be volatile, documenting every period—both good and bad—provides a transparent record of the framework's live performance.

March 2025: +198.64 units
April 2025: +59.06 units
May 2025: +7.21 units
June 2025: +134.55 units
July 2025: +27.77 units
August 2025: +63.95 units
September 2025: +28.34 units
October 2025: −3.61 units
November 2025: +1.63 units
December 2025: +14.80 units
January 2026: −3.75 units
February 2026: −27.94 units
March 2026: +6.26 units
April 2026: −68.99 units
May 2026: +23.16 units
June 2026: −30.27 units
July 2026: +41.83 units
August 2026: −0.49 units

Total: +472.14 units

300-Bet Cycle Performance

Whilst monthly reporting provides transparency, the framework is best assessed over 300-bet cycles, which help smooth out the natural variance associated with high-odds, low strike-rate frameworks.

Cycle 1: +277.10 units
Cycle 2: +115.61 units
Cycle 3: +85.57 units
Cycle 4: +63.08 units
Cycle 5: −10.89 units
Cycle 6: −61.60 units
Cycle 7: −2.40 units
Cycle 8: +5.67 units after 50 bets — in progress

Cycle 8 is now underway. At just 50 bets, it is far too early to draw conclusions from its performance. That is precisely why Trade Carefully uses 300-bet cycles alongside monthly reporting: short periods can provide information, but they should not be mistaken for evidence of a longer-term trend.

Key Observations

The framework has now reached 2,150 live documented bets and +472.14 units after 2% commission.
August finished almost completely flat at −0.49 units, following July's +41.83 units.
The wider Trade Carefully research archive contains more than 49,000 UK greyhound market observations.
Cycle 8 has started +5.67 units after 50 bets, but remains at a very early stage.
The historical longest losing run remains 79 consecutive bets, a reminder of the variance possible within a historically profitable dataset.
Every completed cycle adds another layer of evidence, reinforcing the importance of evaluating performance over large sample sizes rather than individual months.
Results shown were generated using BF Bot Manager. Users employing alternative software or manual execution should not expect identical qualifying selections or identical results.

Trade Carefully Research Framework

These results are one live implementation of the wider Trade Carefully Research Framework.

The Framework documents the research journey behind the project—from more than 49,000 market observations and a broadly losing research dataset through analysis, segmentation and refinement to the live implementation documented on this page.

It includes the complete Research Framework, access to the Master Dataset, the public Dog Pound dataset, the Dog Pound BF Bot Manager implementation and lifetime access to future dataset updates published for this product.

Want to understand the research first?
Explore the Trade Carefully Research Framework

Seen enough evidence and want the full Framework?
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Trade Carefully is not a tipping service and does not promise future profits. Historical results do not guarantee future performance. Future losing runs and drawdowns may exceed anything shown in the historical data.

Trade Carefully remains committed to publishing performance regardless of outcome. The objective isn't to sell certainty. It is to document an evidence-led research process built on transparency, discipline and large sample sizes.