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 | 390.68 | 10939 |
|
| Goals | 1.21 | 34 |
|
| Assists | 0.61 | 17 |
|
| Saves | 1.04 | 29 |
|
| Shots | 3.75 | 105 |
|
| Demos | 1.18 | 33 |
|
| Stat | Per game | Overall rank | Rank in Master |
|---|---|---|---|
| Points | 390.68 | #165 / 1213 | #19 / 107 |
| Goals | 1.21 | #48 / 1213 | #4 / 107 |
| Assists | 0.61 | #340 / 1213 | #27 / 107 |
| Saves | 1.04 | #716 / 1213 | #64 / 107 |
| Demos | 1.18 | #279 / 1213 | #35 / 107 |
60% of the season is played (28 → ~47 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 (56 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 | 10939 | 18362 | 18195 | 18195 | 18060 – 18330 |
| Goals | 34 | 57 | 55 | 56 | 48 – 62 |
| Assists | 17 | 29 | 28 | 28 | 23 – 33 |
| Saves | 29 | 49 | 50 | 49 | 43 – 57 |
| Shots | 105 | 176 | 171 | 175 | 158 – 184 |
| Demos | 33 | 55 | 55 | 55 | 48 – 63 |
| MVPs | 3 | 5 | 5 | 5 | 3 – 8 |
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.
Where the 25 most similar players from 11 completed past season(s) landed for each per-game stat (median + middle-50% range). A "players like you finished here" anchor that complements the pace projection above.
| Stat | This season | Comparables median | Typical range |
|---|---|---|---|
| Goals/game | 0.98 | 1.02 | 0.85 – 1.12 |
| Assists/game | 0.54 | 0.57 | 0.5 – 0.65 |
| Saves/game | 1.11 | 1.19 | 1.11 – 1.27 |
| Shots/game | 3.55 | 3.25 | 3.17 – 3.5 |
Nearest matches by per-game production & play-style (goals, assists, saves, shots, boost, speed, positioning, demos), standardized across 6659 player-seasons. Lower distance = more similar.
| Player | Season | Tier | Goals/g | Assists/g | Saves/g | Similarity |
|---|---|---|---|---|---|---|
| Ecko | S26 | Prospect | 1.11 | 0.61 | 1.17 | 0.92 |
| Tuhlur. | S22 | Veteran | 1.02 | 0.57 | 1.27 | 0.96 |
| LMAO Beer Me | S19 | Veteran | 0.83 | 0.5 | 1.08 | 1.09 |
| Nezitic | S26 | Master | 1.21 | 0.61 | 1.04 | 1.11 |
| Loyboy2 | S17 | Master | 1.0 | 0.42 | 1.08 | 1.22 |
| vidhawk rl | S25 | Premier | 1.1 | 0.65 | 1.14 | 1.22 |
| snugcore | S25 | Elite | 0.75 | 0.57 | 1.22 | 1.22 |
| Mai | S23 | Veteran | 1.16 | 0.58 | 1.26 | 1.25 |
| P0lyph3m0us | S26 | Contender | 1.11 | 0.61 | 1.11 | 1.26 |
| Yoza | S24 | Veteran | 0.92 | 0.39 | 1.16 | 1.29 |
Descriptive comparables - cross-season stat scales can shift, and players who changed names between seasons won't link.
Data source: live (rscna.com) - standings & schedule refresh hourly.