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 | 379.77 | 11393 |
|
| Goals | 0.8 | 24 |
|
| Assists | 0.7 | 21 |
|
| Saves | 1.4 | 42 |
|
| Shots | 2.6 | 78 |
|
| Demos | 1.87 | 56 |
|
| Stat | Per game | Overall rank | Rank in Elite |
|---|---|---|---|
| Points | 379.77 | #218 / 1215 | #40 / 179 |
| Goals | 0.8 | #391 / 1215 | #59 / 179 |
| Assists | 0.7 | #188 / 1215 | #34 / 179 |
| Saves | 1.4 | #355 / 1215 | #65 / 179 |
| Demos | 1.87 | #63 / 1215 | #7 / 179 |
56% of the season is played (30 → ~53 games). Projected (this season) blends the current rate with the tier average (regression to the mean). . Pace is the naive "keep current rate" number. Range = 80% prediction interval on the this-season projection.
| Stat | Now | Pace | Projected (season) | 80% range |
|---|---|---|---|---|
| Points | 11393 | 20128 | 20006 | 19855 – 20156 |
| Goals | 24 | 42 | 42 | 35 – 49 |
| Assists | 21 | 37 | 37 | 30 – 43 |
| Saves | 42 | 74 | 74 | 65 – 83 |
| Shots | 78 | 138 | 138 | 125 – 150 |
| Demos | 56 | 99 | 95 | 85 – 105 |
| MVPs | 6 | 11 | 10 | 7 – 14 |
No ballchasing replay data for this player. Advanced stats (boost, speed, positioning, demos) only exist for the ~37% of players whose matches/scrims were uploaded to ballchasing - coverage depends on who uploads, not on the player.
Data source: live (rscna.com) - standings & schedule refresh hourly.