- Zero-Risk Shield: First 5 matches are calibration. You lose 0 pts, and veterans lose 0 if you upset them.
- Inactivity Decay: After 13 months of no play, RFI decays by 1% monthly. Penalties stop after 12 consecutive months (Max 12%).
A point-based ranking system designed for every skill level and those who may only compete in doubles events.
RFI Power measures your performance relative to expectations. Your points are determined by the Rating Difference between you and your opponent.
When a new player enters the platform or the timeline calculates, an unranked player establishes their initial baseline score anchored to a universal base floor:
At the conclusion of a newcomer's 5-match calibration window (the Zero-Risk Shield period), the engine analyzes their performance trend. A one-time dynamic adjustment is calculated and inserted directly into their RFI Power based on their individual Game-Win Percentage, fast-tracking them to their accurate skill tier as shown in your match history logs.
| Rating Difference | Higher Rank Winner (Expected) | Lower Rank Winner (Upset) |
|---|---|---|
| 0 โ 10 pts (Balanced) | Winner +7 / Loser -7 | Winner +7 / Loser -7 |
| 11 โ 25 pts | Winner +5 / Loser -5 | Winner +10 / Loser -10 |
| 26 โ 50 pts | Winner +4 / Loser -4 | Winner +15 / Loser -15 |
| 51 โ 100 pts | Winner +3 / Loser -3 | Winner +25 / Loser -25 |
| 101 โ 200 pts | Winner +2 / Loser -2 | Winner +35 / Loser -35 |
| 201 โ 400 pts | Winner +1 / Loser -1 | Winner +45 / Loser -45 |
| 401+ pts | Winner +1 / Loser -1 | Winner +60 / Loser -60 |
Base points are multiplied by the Event Multiplier to reflect the importance of the tournament:
To ensure high-stakes events (like Nationals) don't unfairly penalize players, the Event Multiplier only affects the Winner's gain. The loser's penalty is always capped at a 1.0x rate.
Triggered when an underdog wins a match where the opponent scores 5 total points or less. You receive 50% of the rating gap between you. Winner gain is uncapped, while loser penalty is capped at -100.
๐ The Mastery Upset ๐ Mastery LogicBeating a player ranked 200+ points higher for the second time within 13 months triggers a 3x Multiplier on your base points.
To maintain an active and competitive leaderboard that accurately reflects current player form, the calculation engine runs a systematic decay protocol for players on extended breaks:
Doubles calculations use Team Averages, with points shared between partners based on individual ratings to ensure fairness.
The RPI is a stabilized indicator of your "Level of Play," designed similarly to tennis (NTRP) or pickleball (DUPR) systems. It is primarily used for **Division Eligibility** and **Seeding**.
It is common for a player's RPI level to drop out of alignment with their absolute RFI Power rating. This happens because they measure entirely different dimensions of competitive performance:
If a player has played a low number of matches (e.g., 11 matches) and feels their RPI is lower than expected (such as peaking at 3.5), this is a deliberate mathematical feature designed to prevent volatile rating spikes. Here is exactly how match volume limits and anchors progression:
The Rating Performance Index (RPI) tracking pipeline converts chronological match point exchanges directly into localized performance indicators using a four-stage asymptotic convergence process:
Before modifying historical curves, the matrix extracts the mean RFI Power signatures of both active players to isolate the true competitive match standard ($Q$). This baseline guarantees that performance targets scale dynamically alongside opponent capability pools up to an absolute ceiling of $8.5$.
2. Asymmetric Performance Curve DistributionThe system derives individual performance targets ($T_w, T_l$) by cross-analyzing real-world point ratios against standard performance baselines. Dominant victories scale asymptotic projections toward the tier ceiling, while competitive losses buffer stable metrics against major volatility.
3. Variable Convergence Co-efficients ($K_{rpi}$)To stabilize rankings across deep datasets, the engine adjusts tracking responsiveness based on game volume. Unrated placement entities move rapidly ($K_{rpi} = 0.20$), whereas seasoned competitors merge with historical curves through a steady filter ($K_{rpi} = 0.06$).
To convert raw, high-velocity tournament points into stable front-end tiers, the engine runs a strict linear normalizer calculation: RPI = max(2.0, (RFI Power / 715) + 1.0).
โ ๏ธ ๐ก This calculation guarantees that no active player rating gradient can ever breach or drop below the absolute system floor value of 2.0 RPI.
Double-Jump is a strictly positional ranking (Rank #1, #2, etc.) based on the "7-Rule" Tracking System. It allows you to "leapfrog" the ladder by proving you can defeat specific targets ahead of you.