Composite: each per-game stat (goals, assists, saves, shots, demos, shooting %, MVPs) is turned into a z-score vs the player's tier peers, weighted by how much it correlates with winning, summed, then shrunk toward the tier average for small samples (games / (games + 8)).
Tier dominance: that composite expressed two ways - a percentile within the tier (rank), and a margin in standard deviations above the tier average (how big an outlier). The margin is what flags genuine outliers vs. someone merely top of a tight tier.
Overall rating (0-100): the composite plus a tier-strength bonus (Premier counts most), turned into a league-wide percentile - so it's comparable across tiers, unlike tier dominance.
Projects as: re-sorting every player by overall skill into the tiers' real sizes, the tier this player would land in. Projecting up a tier (and being an outlier) = "overskilled." A model estimate.
| Stat | Per game | Total | Percentile in tier |
|---|---|---|---|
| Points | 314.59 | 5348 |
|
| Goals | 0.47 | 8 |
|
| Assists | 0.76 | 13 |
|
| Saves | 1.47 | 25 |
|
| Shots | 1.88 | 32 |
|
| Demos | 1.53 | 26 |
|
| Stat | Per game | Overall rank | Rank in Rival |
|---|---|---|---|
| Points | 314.59 | #679 / 1215 | #99 / 164 |
| Goals | 0.47 | #831 / 1215 | #115 / 164 |
| Assists | 0.76 | #110 / 1215 | #15 / 164 |
| Saves | 1.47 | #296 / 1215 | #40 / 164 |
| Demos | 1.53 | #125 / 1215 | #15 / 164 |
56% of the season is played (17 → ~30 games). Projected (this season) blends the current rate with the tier average (regression to the mean). Projected (all data) instead regresses toward the player’s own career rate (146 games across 3 past seasons). Pace is the naive "keep current rate" number. Range = 80% prediction interval on the this-season projection.
| Stat | Now | Pace | Projected (season) | Projected (all data) | 80% range |
|---|---|---|---|---|---|
| Points | 5348 | 9438 | 9548 | 9548 | 9446 – 9651 |
| Goals | 8 | 14 | 15 | 16 | 11 – 19 |
| Assists | 13 | 23 | 22 | 22 | 17 – 27 |
| Saves | 25 | 44 | 44 | 43 | 37 – 50 |
| Shots | 32 | 56 | 59 | 60 | 51 – 67 |
| Demos | 26 | 46 | 44 | 44 | 37 – 51 |
| MVPs | 1 | 2 | 2 | 2 | 1 – 4 |
From 15 ballchasing replays (matches + scrims). Advanced OVR is a percentile among the 762 players with enough replay data - separate from the box-score OVR above.
| Boost / min | 426.7 |
| Avg boost | 48.5 |
| Boost stolen / game | 582.0 |
| % time at 0 boost | 13.4% |
| Avg speed (uu/s) | 1523.9 |
| % supersonic | 14.5% |
| % time high in air | 2.6% |
| Avg distance to ball | 3070.9 |
| % time attacking third | 20.4% |
| Demos / game | 1.3 |
| Demos taken / game | 1.3 |
| Shooting % | 23.3% |
| Season | Tier | Games | Goals/g | Assists/g | Saves/g | Boost/min |
|---|---|---|---|---|---|---|
| S21 | Rival | 7 | 0.57 | 0.43 | 1.43 | 434 |
| S22 | Rival | 4 | 1.0 | 0.75 | 1.0 | 442 |
| S23 | Rival | 44 | 0.86 | 0.61 | 1.3 | 437 |
| S24 | Rival | 55 | 0.91 | 0.49 | 1.2 | 437 |
| S25 | Rival | 47 | 0.49 | 0.66 | 1.08 | 455 |
| S26 | Rival | 15 | 0.47 | 0.87 | 1.6 | 427 |
Data source: live (rscna.com) - standings & schedule refresh hourly.