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Global model laboratory · customer records excluded
Model Leaderboard
Choose one game and jurisdiction. Every row comes from a candidate locked before that exact official occurrence. Historical backtests, customer plays, and shared-game results from the other jurisdiction are not mixed into this forward record.
Connecticut
Lotto! model standings
8 completed pre-draw fields graded per model.
| Model | Fields graded | Exact hits | Pattern hits | Average pattern match | Average main matches | Bonus hit rate | Score vs random control | Prize-bearing fields |
|---|---|---|---|---|---|---|---|---|
| All-draw frequency | 8 | 0 · 0.0% | — | — | 0.5 | — | -0.0625 | 0 · 0.0% |
| Balanced draw model | 8 | 0 · 0.0% | — | — | 1.0 | — | +0.0209 | 0 · 0.0% |
| Draw-shape transition research Comparison model | 7 | 0 · 0.0% | 0 | 31.4% | 1.286 | — | +0.0685 | 0 · 0.0% |
| Recent momentum | 8 | 0 · 0.0% | — | — | 0.75 | — | -0.0208 | 0 · 0.0% |
| Same-draw frequency | 8 | 0 · 0.0% | — | — | 0.875 | — | 0.0 | 0 · 0.0% |
| Uniform control Control | 8 | 0 · 0.0% | — | — | 0.875 | — | 0.0 | 0 · 0.0% |
How to read this: average matches measures partial field quality; exact hits remain the strict full-result measure. Pattern hits require the complete pre-declared shape to match; average pattern match gives partial structural credit without counting it as a number win. “Score vs random control” compares each strategy with the uniform-control model on the same locked sample. A positive value is evidence to investigate, not proof of an edge, and it never changes the official odds.