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 | 215.37 | 5815 |
|
| Goals | 0.44 | 12 |
|
| Assists | 0.26 | 7 |
|
| Saves | 0.89 | 24 |
|
| Shots | 1.0 | 27 |
|
| Demos | 1.78 | 48 |
|
| Stat | Per game | Overall rank | Rank in Amateur |
|---|---|---|---|
| Points | 215.37 | #936 / 1215 | #41 / 61 |
| Goals | 0.44 | #847 / 1215 | #40 / 61 |
| Assists | 0.26 | #875 / 1215 | #40 / 61 |
| Saves | 0.89 | #841 / 1215 | #23 / 61 |
| Demos | 1.78 | #70 / 1215 | #1 / 61 |
69% of the season is played (27 → ~39 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 | 5815 | 8399 | 8623 | 8544 – 8701 |
| Goals | 12 | 17 | 18 | 15 – 22 |
| Assists | 7 | 10 | 11 | 8 – 13 |
| Saves | 24 | 35 | 35 | 30 – 39 |
| Shots | 27 | 39 | 42 | 36 – 48 |
| Demos | 48 | 69 | 66 | 60 – 73 |
| MVPs | 2 | 3 | 3 | 2 – 5 |
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.