We ran one million simulations against the live Kinetic Edge engine to find the true ceiling of our confidence scoring system — and to prove that the numbers on your dashboard are earned, not estimated.
Results from 1,000,000 signals evaluated against the full Kinetic Edge V2.1 algorithm.
Across one million simulations, the engine never produced a conviction score above 95%. This is not a software limit — it is a direct consequence of the algorithm's architecture, which is calibrated against real-world market constraints rather than theoretical maximums.
When you see a 95% signal on your dashboard, you are looking at a bet where every available data dimension has aligned as strongly as the real world allows. It is the engine's highest possible conviction.
Of the 25,766 signals that passed all evaluation stages and scored ≥90%, here is how they distributed across confidence bands.
For every bet that appears on your dashboard, approximately 38 signals were evaluated and rejected to produce it.
The 97.4% rejection rate is the engine protecting your bankroll. Every signal that did not reach your screen was evaluated, found wanting, and discarded for a specific, auditable reason.
"A 95% confidence score means the data is as aligned as it can ever be — not that the outcome is guaranteed."
The confidence score measures the quality of data alignment across multiple independent dimensions — historical records, live market signals, and situational intelligence. Sports outcomes are inherently probabilistic. The edge is real and risk-adjusted returns are favourable over a large sample, but no individual result is guaranteed.
CORE and SYNDICATE subscribers get access to every qualifying signal the engine produces — sized correctly, tracked honestly, and backed by the most selective AI in Australian sports analysis.
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