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How AI Score works

AI Score is our explainable, rules-based opportunity score. It is not a trained prediction or a probability of winning.

The score deliberately discounts distant draws: low sales today can rise considerably before next week's draw. The same Current Value Ratio can be more interesting when entries are about to close.

SignalWeight
Current ticket revenue versus prize value, weighted towards closing40%
Value using a time-adjusted sales scenario20%
Value at sellout20%
Ticket affordability10%
Entry-pool size in the scenario10%

Free entries score 100; paid entries score up to 99 on a fixed scale. Adding free competitions does not lower paid scores. The score is saved at refresh time, alongside the valuation used to calculate it.

Exact current calculation

S = tickets sold; A = remaining; N = total; p = ticket price; V = selected prize value; h = non-negative hours until the entry deadline, or draw time if unavailable.

Q = min(N, max(1, S + 1) + A × h / (h + 24))
r = S × p / V
C = 100 − 30 × r³ if r ≤ 1; otherwise 70 / r
T = C / (1 + (h / 8)²)
B(x) = min(100, 150 × V / (V + x))
F = 100 / (1 + p / 5)
P = 100 / (1 + sqrt(Q / 1000))
Score = round(0.40T + 0.20B(Qp) + 0.20B(Np)
              + 0.10F + 0.10P), bounded to 0–99

Q is a scenario, not a forecast. The calculation requires valid finite ticket counts; a missing value produces zero value points. Free entries use the separate 100-point rule.

Current and Sellout Value Ratios remain separate comparisons. We do not publish a Projected Draw Value Ratio: that requires enough historical evidence to validate a prediction.