Sports Trading Strategies

The Greyhound Filtered Strategy (aka Dog Pound)

The Greyhound Filtered Strategy was built from the ground up with one goal in mind: consistency in high-variance markets.

Rather than trying to trade every race, the approach deliberately filters down to focus only on race conditions that have shown repeatable, evidence-based inefficiencies over large samples of live data.

This isn’t about chasing short-term runs or lucky streaks.
It’s about letting thousands of data points reveal where the market consistently misprices outcomes.

The strategy combines:

• Selective race filters – only specific grades and distances qualify

• Value focus – entries are taken where the market has historically overreacted

• Variance control – designed to withstand long losing runs

• Automation – execution via BF Bot Manager to remove emotional interference

The result is a leaner, more disciplined approach that turns raw data into a clear trading edge.

Results So Far

✅ Strategy Evolution

Early Days
Initial testing covered a wide range of grades, distances, and race types. While the raw numbers showed promise, performance came with unnecessary volatility and deeper swings.

Refinement
Through ongoing live tracking and analysis, weaker race categories were gradually removed. Focus narrowed to the strongest performers based on real results rather than assumptions.

Key Update – Open Races (OR)
Open Races were included deliberately during the research phase and tested extensively. However, over a large live sample, they failed to contribute positively to overall expectancy and added avoidable volatility.

As a result, OR races have now been removed from the core strategy, with focus placed firmly on A- and D-grade races where the edge has proven most consistent.

This decision was driven by data, not short-term outcomes.

📊 Performance Snapshot (Mar–Dec)

With data now running from March through to the end of December, the strategy stands at:

• 1,500+ live bets

• +532 units profit (after commission)

• ~35% ROI after commission

• Average odds ~12.5

• Worst drawdown ~60 units

• No structural breakdown

All results are based on live execution with realistic Betfair commission applied.

📈 Monthly Performance (Mar–Dec 2025)

• March: +198.64 units (over 131 bets)

• April: +59.06 units (over 157 bets)

• May: +7.21 units (over 180 bets)

• June: +134.55 units (over 177 bets)

• July: +27.77 units (over 131 bets)

• August: +63.95 units (over 182 bets)

• September: +28.34 units (over 170 bets)

• October: −3.61 units (over 183 bets)

• November: +1.63 units (over 44 bets)*

• December: +14.80 units (over 151 bets)

➡️ Total (Mar–Dec): +532.33 units

* Note: Between 11th and 25th November, the bot crashed without immediate detection, so some qualifying bets were not recorded. November’s figures are therefore incomplete.

💡 A Note on Staking & Discipline

For the first nine months, the strategy was intentionally run using very small test stakes, made possible by BF Bot Manager.

This allowed the focus to remain on:

• Understanding drawdowns

• Observing behaviour under variance

• Validating the edge before increasing exposure

Following extensive live testing, the strategy is now moving to a minimum £1 stake, marking a controlled and deliberate progression — not a rush to scale.

Prove first. Scale later.

💡 Key Takeaways

• The Greyhound Filtered Strategy has evolved from a broad test into a focused, evidence-led system

• Performance has remained positive across a large live sample

• Drawdowns exist but remain within expected limits

• Refinement — including the removal of OR races — has strengthened overall consistency

Monthly results should never be viewed in isolation.
Markets do not pay a monthly salary — edges reveal themselves over time.