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 | 363.79 | 5093 |
|
| Goals | 0.57 | 8 |
|
| Assists | 0.36 | 5 |
|
| Saves | 2.14 | 30 |
|
| Shots | 2.14 | 30 |
|
| Demos | 1.43 | 20 |
|
| Stat | Per game | Overall rank | Rank in Premier |
|---|---|---|---|
| Points | 363.79 | #312 / 1213 | #21 / 73 |
| Goals | 0.57 | #723 / 1213 | #40 / 73 |
| Assists | 0.36 | #775 / 1213 | #45 / 73 |
| Saves | 2.14 | #16 / 1213 | #3 / 73 |
| Demos | 1.43 | #171 / 1213 | #17 / 73 |
64% of the season is played (14 → ~22 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 | 5093 | 8003 | 8000 | 7920 – 8081 |
| Goals | 8 | 13 | 13 | 10 – 17 |
| Assists | 5 | 8 | 8 | 6 – 11 |
| Saves | 30 | 47 | 45 | 39 – 51 |
| Shots | 30 | 47 | 49 | 42 – 55 |
| Demos | 20 | 31 | 31 | 26 – 36 |
| MVPs | 0 | 0 | 0 | 0 – 1 |
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.