Each round, you and everyone else pay the same and submit a price . After the is known, your is the absolute distance from your estimate to the outcome. Everyone is ranked by error; the (middle value when errors are sorted) is the cutoff.Documentation Index
Fetch the complete documentation index at: https://docs.trepa.io/llms.txt
Use this file to discover all available pages before exploring further.
The median rule and ~50% baseline
In a typical round with many players, about half end up below the median error and about half at or above it, so your baseline expected win rate is roughly ~50% before your own edge. Small pools or duplicate errors can shift the exact split slightly.You win if your error is strictly less than the median error. If your error equals or is worse than the median, you lose under the standard rule.
What winners and losers receive
Winners get their entry fee back in full, then a share of the prize pool funded by losers’ fees (after the platform take). Among winners, the closer you were to the outcome, the larger that share (accuracy weight). Losers forfeit their entry fee; those fees fund the prize pool and platform take. Prize flow and take: Payout overview.Formulas (for verification)
- Error (player , estimate , outcome ):
- Median error: the -th smallest error with (e.g. ).
- Win condition (standard): player wins if . Tie at the shared minimum error for half or more of the field: best-coalition exception (rare).
Example
Setup: 5 players, outcome = 97,100.| Player | Estimate | Error | Result |
|---|---|---|---|
| P1 | 95,000 | 2,100 | Loss |
| P2 | 96,500 | 600 | Win |
| P3 | 97,000 | 100 | Win |
| P4 | 98,200 | 1,100 | Loss (equals median) |
| P5 | 99,500 | 2,400 | Loss |