Betting strategies — builder and backtesting
Create your own betting strategy
Define strategy conditions as text or build visually: odds range, live and prematch stats, match minute. Football available. The system will backtest on historical data and show ROI, win rate, and profit chart.
Create your own betting strategy
Define strategy conditions as text or build visually: odds range, live and prematch stats, match minute. Football available. The system will backtest on historical data and show ROI, win rate, and profit chart.
Backtesting
Test your strategy on historical data for the last month
Run backtest to see the chart
First interpret the strategy above
FAQ
Quick overview of the strategy builder and backtest features.
What is backtest in plain words?
A backtest runs your betting strategy against historical data. You set entry rules (sport, league, odds range, market, filters) and see how the idea would have performed in the past — how many triggers, what ROI, and how the equity curve moved.
In essence it is a rehearsal of your strategy on real matches and real bookmaker lines — without financial risk. Useful for testing a hypothesis, finding weak spots and comparing variants before going live.
How do I create and run a strategy?
You can build a strategy in two ways:
- Via the visual builder — on the "Create strategy" tab pick sport, leagues, bet types, odds range, match minute and stat conditions (pressure, shots, xG, form, streaks, etc.) — all via dropdowns and sliders.
- By describing in words — type your idea as plain text in the top field, e.g. "live bet on Over 2.5 after the 60th minute in EPL matches at 0:0 with home pressure > 60". Our AI parses the description and fills the builder for you — you can then tweak it manually.
After setting parameters click "Run backtest" — the system runs the strategy over the match archive and returns a report: ROI, win rate, equity curve, list of triggered bets. To save the template use "Save strategy" — it lands in the "My strategies" tab.
Why use backtesting?
- validate the effectiveness of your idea on a long sample;
- find mistakes in past decisions and understand why the strategy dipped;
- pick the optimal filters and odds range before going live;
- compare several variants of one strategy by ROI and win rate.
Note: a backtest shows past performance and does not guarantee future results. The longer the sample and the tighter the filters, the more reliable the conclusions.
How do I improve a strategy from backtest results?
After the backtest a button appears in the form: "Improve strategy". It automatically runs dozens of extra filters and parameters on top of your conditions — odds ranges, minutes, stat thresholds (pressure, shots, xG, streaks, form edge), league cutoffs etc. — and picks the ones that improve ROI and stability.
You get:
- an "Improved strategy" summary with a new equity curve and ROI — side by side with the original;
- a list of specific conditions to add, each with its impact on the result;
- an "Apply improved" button — one click loads the new version into the builder; you can re-run or save it as a separate strategy.
If no improvements are found, the system says so: the strategy is already optimal or there is too little data for statistically significant conclusions.