How It Works
Scoring, rankings, and the ERP rating system explained.
Points
Every competition entry earns points based on medal performance, the prestige of the event, and how recent it was.
Medal Values
| Gold | 9 |
| Silver | 3 |
| Bronze | 1 |
Event Multipliers
| Easton Open / Solid Series | 3x |
| NAGA / Fight 2 Win | 2x |
| All other events | 1x |
Year Multipliers
Recent results count more. Competitions older than two years earn zero points.
| Current year | 3x |
| Previous year | 2x |
| Two years ago | 1x |
| Older | 0x |
Examples
1st place, NAGA Denver, Feb 2026
(9 x 2 x 3) = 54 pts
2nd place, NAGA Denver, Oct 2025
(3 x 2 x 2) = 12 pts
3rd place, Grappling Industries, Jan 2024
(1 x 1 x 1) = 1 pt
ERP (Easton Ranking Potential)
ERP is a 1.0 to 10.0 composite rating that measures overall competitive strength. It is designed to be comparable across academies and age groups -- a 7.0 at one academy means the same relative standing as a 7.0 at another. The leaderboard is sorted by ERP (highest first), with unrated competitors shown last.
Instead of relying on a single stat, ERP averages a competitor's percentile rank across seven metrics. A competitor in the 80th percentile on a metric is better than 80% of all rated competitors on that dimension. Rate-based metrics are adjusted for sample size so that a small number of entries with perfect results does not outweigh a larger body of strong results.
Metrics
| Points / Entry | Average points earned per competition entry. Rewards efficiency over volume. |
| Win Rate | Percentage of rounds won. Measures competitive quality. |
| Podium Rate | Percentage of entries finishing in the top 3. Measures consistency. |
| Champ Rate | Percentage of entries finishing in 1st place. Measures dominance. |
| Avg WFM | Average win-for-match ratio. Measures margin of victory across all competitions. |
| Total Points | Sum of all entry points. Gives credit for volume and showing up. |
| Total Entries | Number of competition entries. Rewards experience and showing up to compete. |
Volume metrics (Total Points and Total Entries) are double-weighted to reward experience and showing up. If a competitor has no WFM data, that metric is excluded and the remaining weights are averaged. The final weighted-average percentile is mapped to the 1.0-10.0 scale.
Sample Size Adjustment
Rate metrics (Points/Entry, Win Rate, Podium Rate, Champ Rate, Avg WFM) are adjusted for sample size before percentile ranking using Bayesian regression. A competitor's rates are blended toward the population average based on how many entries they have. With only a few entries, their rates are pulled significantly toward average. With many entries, their real rates dominate.
This means a perfect record over 3 competitions is treated as less reliable evidence than a strong record over 10+ competitions. The system rewards sustained performance and encourages continued competition rather than allowing a small sample of results to inflate a rating.
Rankings
The leaderboard is sorted by ERP (descending). Unrated competitors (fewer than 3 entries) are placed after all rated competitors. When two competitors have the same ERP, ties are broken by:
- Total points (more points ranked higher)
- Win rate (higher percentage ranked higher)
Rank change arrows show movement since the competitor's most recent competition was added. A green arrow means they moved up; red means they dropped.
Filtering
Belt and academy filters show a subset of competitors without changing any stats. ERP, points, and rankings retain their global values so scores stay comparable across academies and belt levels.
Type, competition, and weight class filters recompute stats from the matching entries only. Points, win rate, and all other metrics are recalculated, and ERP is re-ranked relative to the filtered group.