Built on player ratings, venue trends, and a powerful stats engine
Follow the model—or build your own edge
Most betting approaches rely on judgement.
Ours removes it—or gives you the tools to improve it.
Every match is modelled.
Every prediction is backed.
Plus a powerful database of player and venue data to explore and test ideas yourself.
The model is designed to answer one question: Who is more likely to win this match?
The model outputs a predicted winner for every match.
That prediction is backed every time.
This creates inconsistency—and long-term losses.
Or use the data to build your own approach.
Performance comes from discipline and structure over time, not individual picks.
| Season | Bets | Wins | Profit | ROI |
|---|---|---|---|---|
| IPL 2025 | 69 | 48 | +24.57u | +35.6% |
| IPL 2024 | 70 | 55 | +35.34u | +50.5% |
| IPL 2023 | 73 | 54 | +32.15u | +44.0% |
| IPL 2022 | 73 | 58 | +45.18u | +61.9% |
| IPL 2021 | 57 | 39 | +17.69u | +31.0% |
Generated by backing the model's prediction in every match.
Fully tracked. No cherry-picking. No hidden losses.
A fully systematic approach
A powerful stats database
Follow the model—or build your own edge from the data.
I wanted a real edge in cricket betting data.
Not opinions. Not trends. Something measurable. It didn't exist.
So I built it.
A model based on player ratings, venue data, and historical performance.
16 profitable seasons.
Consistent results over time. Now being opened up.
The platform is being developed to give you:
This isn't about finding the perfect bet.
It's about applying a consistent edge—or building one yourself.
No shortcuts. No guesswork. Just data—and the discipline to use it properly.