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 | 407.14 | 11400 |
|
| Goals | 0.93 | 26 |
|
| Assists | 0.79 | 22 |
|
| Saves | 1.75 | 49 |
|
| Shots | 2.5 | 70 |
|
| Demos | 0.64 | 18 |
|
| Stat | Per game | Overall rank | Rank in Rival |
|---|---|---|---|
| Points | 407.14 | #100 / 1215 | #13 / 164 |
| Goals | 0.93 | #225 / 1215 | #32 / 164 |
| Assists | 0.79 | #95 / 1215 | #11 / 164 |
| Saves | 1.75 | #82 / 1215 | #11 / 164 |
| Demos | 0.64 | #722 / 1215 | #108 / 164 |
56% of the season is played (28 → ~50 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 (39 games across 2 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 | 11400 | 20357 | 20035 | 20035 | 19884 – 20186 |
| Goals | 26 | 46 | 46 | 46 | 38 – 53 |
| Assists | 22 | 39 | 38 | 39 | 32 – 45 |
| Saves | 49 | 88 | 86 | 82 | 76 – 95 |
| Shots | 70 | 125 | 125 | 127 | 113 – 137 |
| Demos | 18 | 32 | 34 | 31 | 28 – 41 |
| MVPs | 5 | 9 | 9 | 9 | 6 – 12 |
From 24 ballchasing replays (matches + scrims). Advanced OVR is a percentile among the 762 players with enough replay data - separate from the box-score OVR above.
| Boost / min | 385.9 |
| Avg boost | 44.8 |
| Boost stolen / game | 465.5 |
| % time at 0 boost | 10.5% |
| Avg speed (uu/s) | 1473.3 |
| % supersonic | 10.8% |
| % time high in air | 3.7% |
| Avg distance to ball | 2752.6 |
| % time attacking third | 20.3% |
| Demos / game | 0.7 |
| Demos taken / game | 1.8 |
| Shooting % | 37.8% |
| Season | Tier | Games | Goals/g | Assists/g | Saves/g | Boost/min |
|---|---|---|---|---|---|---|
| S20 | Rival | 15 | 0.8 | 0.67 | 1.13 | 370 |
| S21 | Rival | 4 | 1.0 | 0.75 | 1.25 | 357 |
| S24 | Veteran | 4 | 0.25 | 1.0 | 1.25 | 390 |
| S25 | Rival | 24 | 0.88 | 0.75 | 0.88 | 360 |
| S26 | Rival | 24 | 0.96 | 0.88 | 1.62 | 386 |
| Source | Games | Record | Win % | Score/g |
|---|---|---|---|---|
| Lifetime (all) | 2525 | 1145-846 | 58% | 360 |
| RSC (official) | 18 | 13-3 | 81% | 296 |
| Non-RSC ranked 3v3 | 110 | 36-37 | 49% | 332 |
| Non-RSC other | 2397 | 1096-806 | 58% | 362 |
From public ballchasing replays (score-based, so no goals/saves breakdown). Non-RSC play tracks a player's overall level well but not their standing within a tier — see the ratings notes. Only players with a Steam id and uploaded public games appear here.
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 | 0.96 | 0.89 | 0.8 – 0.93 |
| Assists/game | 0.88 | 0.8 | 0.71 – 0.83 |
| Saves/game | 1.62 | 1.54 | 1.47 – 1.67 |
| Shots/game | 2.5 | 2.58 | 2.44 – 2.78 |
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 |
|---|---|---|---|---|---|---|
| Cognitixn | S22 | Rival | 0.93 | 0.8 | 1.47 | 0.84 |
| Cognitixn | S26 | Rival | 0.83 | 0.78 | 1.56 | 1.02 |
| MrToastyy99 | S26 | Veteran | 0.91 | 0.73 | 1.54 | 1.04 |
| Hunter | S25 | Challenger | 0.83 | 0.83 | 1.54 | 1.06 |
| doctorprofessor_ | S24 | Rival | 0.84 | 0.81 | 1.51 | 1.14 |
| Pooka2854 | S18 | Rival | 0.82 | 0.73 | 1.54 | 1.16 |
| XuR | S19 | Contender | 0.9 | 0.8 | 1.6 | 1.19 |
| imakuu | S26 | Elite | 0.77 | 0.77 | 1.69 | 1.23 |
| StickisBad | S20 | Prospect | 0.93 | 0.68 | 1.79 | 1.25 |
| dyl | S22 | Challenger | 0.86 | 0.69 | 1.49 | 1.28 |
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.