DAQIS METHODOLOGY
Football analysis built to be tested.
Our process turns traceable football data into repeatable analytical decisions. It does not promise a winning outcome; it makes every assumption, rule and result measurable.01Traceable data
02Rules before outcomes
03Risk-aware decisions
04Transparent records
1. Define the question
Every analysis begins with a specific market, timeframe and hypothesis. We decide what would support or reject the idea before reviewing the outcome.
2. Collect and prepare data
We use structured historical match and market data, check consistency and exclude records that cannot be compared reliably.
- Comparable competitions and market definitions
- Consistent timestamps and odds
- Documented exclusions and data limitations
3. Test without rewriting the rules
A useful pattern must survive a meaningful sample, different periods and realistic market conditions. Rules are not changed simply to explain a losing result.
- Backtesting and out-of-sample checks
- Sample size and variance review
- No guaranteed return assumptions
4. Validate risk and price
Probability alone is not enough. The available price, expected value, stake size, drawdown and total exposure are considered together.
5. Document live performance
Published selections are recorded with their result. Losing periods remain visible, and historical performance is never presented as a guarantee of future results.
