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 | 293.6 | 2936 |
|
| Goals | 0.5 | 5 |
|
| Assists | 0.4 | 4 |
|
| Saves | 1.3 | 13 |
|
| Shots | 1.9 | 19 |
|
| Demos | 0.4 | 4 |
|
| Stat | Per game | Overall rank | Rank in Elite |
|---|---|---|---|
| Points | 293.6 | #787 / 1215 | #118 / 179 |
| Goals | 0.5 | #791 / 1215 | #108 / 179 |
| Assists | 0.4 | #725 / 1215 | #106 / 179 |
| Saves | 1.3 | #472 / 1215 | #79 / 179 |
| Demos | 0.4 | #877 / 1215 | #123 / 179 |
56% of the season is played (10 → ~18 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 (47 games across 1 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 | 2936 | 5285 | 5502 | 5502 | 5424 – 5580 |
| Goals | 5 | 9 | 10 | 10 | 7 – 13 |
| Assists | 4 | 7 | 8 | 9 | 5 – 11 |
| Saves | 13 | 23 | 24 | 24 | 19 – 29 |
| Shots | 19 | 34 | 37 | 38 | 30 – 43 |
| Demos | 4 | 7 | 10 | 10 | 6 – 13 |
| MVPs | 0 | 0 | 1 | 1 | 0 – 2 |
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.