Aquap

Veteran - Grizzly Bears - 19-13 (0.594)
72 OVR
overall rating (0–100) · 32 games · how is this calculated?
Overall rating 72/100 Tier dominance: 91st (+1.3 SD) Projects as: Veteran Role: Striker
How are these calculated?

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.

MVPs
11
34% of games
Shot %
40%

Per-game production (percentile within Veteran)

StatPer gameTotalPercentile in tier
Points 386.84 12379
80th
Goals 1.06 34
86th
Assists 0.59 19
52nd
Saves 1.22 39
35th
Shots 2.69 86
55th
Demos 0.78 25
30th

League ranking (per game, among 1213 players)

StatPer gameOverall rankRank in Veteran
Points386.84 #179 / 1213 #26 / 169
Goals1.06 #116 / 1213 #16 / 169
Assists0.59 #369 / 1213 #61 / 169
Saves1.22 #546 / 1213 #86 / 169
Demos0.78 #605 / 1213 #92 / 169

Season projection

Medium confidence

56% of the season is played (32 → ~57 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 (164 games across 4 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 12379 22050 21878 21878 21719 – 22037
Goals 34 61 59 58 51 – 67
Assists 19 34 34 33 28 – 40
Saves 39 69 70 69 61 – 79
Shots 86 153 153 151 139 – 166
Demos 25 45 46 44 39 – 54
MVPs 11 20 19 19 14 – 23

Advanced stats (ballchasing)

Advanced OVR 86 /100

From 32 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 382.9
Avg boost 44.9
Boost stolen / game 547.1
% time at 0 boost 12.1%
Avg speed (uu/s) 1579.5
% supersonic 14.5%
% time high in air 4.5%
Avg distance to ball 2935.9
% time attacking third 20.8%
Demos / game 0.8
Demos taken / game 1.0
Shooting % 40.7%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S22Veteran34 0.820.440.94 373
S23Veteran35 0.510.491.23 346
S24Veteran49 0.650.591.1 361
S25Veteran46 0.850.351.13 350
S26Veteran32 1.060.591.22 383

Beyond RSC - lifetime & other play

External skill estimate: ~45 OVR Medium confidence — inferred from 49 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 72.
SourceGames RecordWin % Score/g
Lifetime (all)1206420-549 43% 330
RSC (official)51-3 25% 327
Non-RSC ranked 3v34910-24 29% 297
Non-RSC other1152409-522 44% 331

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.

Historical analysis - data: Official · All seasons (change in the nav)


Data source: live (rscna.com) - standings & schedule refresh hourly.