A precision game with a disclosed benchmark model.
RTP target: 96.5% — prototype target, not a certification. This is a timing-skill game, so no single fixed RTP can describe every player. The ladder is calibrated from a reference timing model whose per-course landing probability falls from 96.5% on course 1 to 32% on course 16. At each published reference cash-out point, multiplier ≈ 0.965 ÷ cumulative survival probability. Perfect drops jump one extra rung and therefore change the realized return. Upper multipliers are capped at 100×.
Volatility: very high. Hit frequency: 96.5% reference first-course landing; player-dependent. Maximum win: 100× wager / 25,000 credits at max wager. Wagers: 10–250. Starting balance: 10,000 virtual credits. Resolution: deterministic geometric overlap, no hidden RNG. Perfect tolerance: 5.5% of current block width, minimum 4 CSS pixels. Precision: internal sub-pixel coordinates; displayed credits round to the nearest whole credit on payout.
Lab-ready note: Because outcomes are player-controlled rather than RNG-controlled, certification would require a defined input-agent distribution, device latency tolerance, frame-rate normalization, and strategy set. Reference model landing probabilities by course: 0.965, 0.93, 0.90, 0.87, 0.84, 0.80, 0.76, 0.72, 0.67, 0.62, 0.57, 0.52, 0.47, 0.42, 0.37, 0.32. Independently verify event timing, boundary equality, payout rounding, perfect detection, cash-out state transitions, wager debit, 100× cap, and zero-credit behavior before any regulated use.
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