
Our ensemble models are built to cut through noise and uncover real edges. But sometimes, the smartest move is knowing when not to bet.

Over the past week in the CPL:
📊 Barbados Royals vs Guyana Amazon Warriors (Sept 4)
➡️ Predicted: 49% Royals [45–54%] → Too close to call.
➡️ Recommendation: Do not bet.
➡️ Result: GAW won with 2 balls remaining
📊 Barbados Royals vs Antigua & Barbuda Falcons (Sept 6)
➡️ Predicted: 51% Royals [47–56%] → Again, model disagreement.
➡️ Recommendation: Do not bet.
➡️ Result: ABF won with no balls remaining
📊 Guyana Amazon Warriors vs Trinbago Knight Riders (Sept 7)
➡️ Predicted: 47% Warriors [43–52%] → Another 50-50 probability range.
➡️ Recommendation: Do not bet.
➡️ Result: GAW won with one ball remaining
The common theme? All three matches fell into the “model disagreement” zone. Our H2H algorithm showed probabilities straddling 50%, so we stood down—highlighting our discipline and commitment to only betting when the numbers show a clear edge.
✅ Season so far:
Model Accuracy: 67%
Betting Strategy Accuracy: 67%
ROI: +7% (conservative strategy)
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