Ruleset registry
Four controlled tail models.
Every model is explicitly Class C and synthetic. They isolate probability mechanics and are not presented as copies of named commercial products.
Controlled jackpot slot
96% RTPclass-c-jackpot-slot-1.0- Replication class
- C — synthetic experimental game
- Maximum multiple
- 20 000×
- Model
- GreyScienx controlled tail-shape model
- Rule type
- Discrete multiplier table
Independent spins; gross multiplier table does not change with stake.
Published outcome table1× 1,0000%2 000× 0,0200%5 000× 0,0050%10 000× 0,0020%20 000× 0,0005%
Controlled crash target
97% RTPclass-c-crash-target-1.0- Replication class
- C — synthetic experimental game
- Maximum multiple
- 20 000×
- Model
- GreyScienx constant-edge first-passage model
- Rule type
- Declared target formula
The target multiplier is declared before the draw; P(reach target) = 0.97 / target multiplier.
Controlled lottery tail
80% RTPclass-c-lottery-tail-1.0- Replication class
- C — synthetic experimental game
- Maximum multiple
- 100 000×
- Model
- GreyScienx controlled attempt-count model
- Rule type
- Discrete multiplier table
Each wager is one independent ticket; the sole prize is 100,000× gross at probability 8 per million.
Published outcome table100 000× 0,0008%
Controlled virtual accumulator
90% RTPclass-c-accumulator-target-1.0- Replication class
- C — synthetic experimental game
- Maximum multiple
- 20 000×
- Model
- GreyScienx constant-margin first-passage model
- Rule type
- Declared target formula
Independent synthetic events; the offered target has P(success) = 0.90 / target multiplier. No real matches are used.
RTP and target probability are different quantities.
RTP averages all gross returns. Target incidence uses only the outcomes large enough to cross R100,000 at the selected stake.
