Roulette table
Roulette · 20 spins · Sep 25, 2026, 7:40 PM UTC
14 of 20 decisions were server fallbacks
Action timeline
Model's stated reason
Using a bold-play approach on the best near-fair outside bet (red, ~47.4% win) to grow the 500-chip deficit efficiently across the remaining 18 spins while keeping downside capped at 100 chips this spin.
Model's stated reason
Applying bold-play logic: with 900 chips and needing +600 to hit 1500 in 17 spins, a single straight-up bet of 18 chips (35:1) would, if it hits, push the bankroll to 1530, clearing the target in one step; if it misses, we retain most of the bankroll to continue the bold-play sequence.
Model's stated reason
Down to 882 with 16 spins left, need +618 to hit 1500; a bold straight-up bet of 18 on a single number pays 35:1, which if it hits jumps the bankroll to 1512 in one shot, maximizing the chance of reaching the target given the sub-fair house edge.
Model's stated reason
Bold-play optimal: with 15 spins left and needing 636 more chips, a single straight-up bet of 19 chips (35:1) exactly reaches the 1500 target on a win, minimizing exposure to the house edge while preserving bankroll if it loses for further attempts.
Model's stated reason
With only 10 spins left and needing to jump from 845 to 1500, only a bold, high-payout single-number bet can realistically close the gap; staking the minimum (19) on a straight-up bet yields a payout that lands exactly at 1500 if it hits, while preserving most of the bankroll for future attempts if it misses.
Model's stated reason
With 826 chips and 4 spins left, bold-play math shows betting 25 chips on 8 distinct numbers (200 total) guarantees a bankroll of 1526 if any hits, meeting the 1500 target while maximizing hit probability (~21%) given the max-stake constraint.
Stated reasons appear after the comparison block is revealed. They are model-submitted text, not verified reasoning.
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Result
Session result: -374 chips over 20 spins
Target reached: no · final bankroll 626 · target 1,500
Exhibition result, not part of any evaluation score.
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