Super

Premier - Capybaras - 7-15 (0.318)
96 OVR
overall rating (0–100) · 22 games · how is this calculated?
Overall rating 96/100 Tier dominance: 36th (-0.6 SD) Projects as: Premier Role: Role player
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
2
9% of games
Shot %
27%

Per-game production (percentile within Premier)

StatPer gameTotalPercentile in tier
Points 281.0 6182
8th
Goals 0.59 13
29th
Assists 0.5 11
31st
Saves 1.09 24
17th
Shots 2.18 48
17th
Demos 1.5 33
71st

League ranking (per game, among 1213 players)

StatPer gameOverall rankRank in Premier
Points281.0 #805 / 1213 #48 / 73
Goals0.59 #701 / 1213 #37 / 73
Assists0.5 #509 / 1213 #32 / 73
Saves1.09 #671 / 1213 #42 / 73
Demos1.5 #139 / 1213 #15 / 73

Season projection

Medium confidence

64% of the season is played (22 → ~34 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 (159 games across 3 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 6182 9554 9816 9816 9724 – 9907
Goals 13 20 21 20 16 – 25
Assists 11 17 17 17 13 – 21
Saves 24 37 38 38 32 – 44
Shots 48 74 76 75 68 – 84
Demos 33 51 50 51 44 – 57
MVPs 2 3 3 3 2 – 5

Advanced stats (ballchasing)

Advanced OVR 23 /100

From 22 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 363.5
Avg boost 49.8
Boost stolen / game 593.0
% time at 0 boost 9.3%
Avg speed (uu/s) 1468.4
% supersonic 11.4%
% time high in air 6.4%
Avg distance to ball 2861.1
% time attacking third 23.8%
Demos / game 1.5
Demos taken / game 1.2
Shooting % 24.4%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S20Master7 1.00.141.43 354
S23Master55 0.710.531.58 378
S24Master56 0.80.621.25 397
S25Premier48 0.480.461.42 376
S26Premier22 0.590.51.09 364

Beyond RSC - lifetime & other play

External skill estimate: ~78 OVR High confidence — inferred from 254 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 96.
SourceGames RecordWin % Score/g
Lifetime (all)40091618-1534 51% 362
RSC (official)5419-20 49% 348
Non-RSC ranked 3v325492-134 41% 350
Non-RSC other37011507-1380 52% 363

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)

Comparable-based outlook

High confidence

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.

StatThis seasonComparables medianTypical range
Goals/game0.59 0.64 0.56 – 0.67
Assists/game0.5 0.48 0.47 – 0.54
Saves/game1.09 1.17 1.04 – 1.22
Shots/game2.18 2.29 2.13 – 2.43

Most similar players (across RSC history)

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.

PlayerSeasonTierGoals/gAssists/gSaves/gSimilarity
Stemantics S25Elite 0.730.441.09 0.64
DR. BABIES S20Rival 0.550.411.04 1.04
AZoroARK S26Contender 0.750.561.16 1.07
noot S21Rival 0.560.441.0 1.10
Goose S23Veteran 0.650.480.96 1.12
OurStevie S23Rival 0.430.571.21 1.15
Celiscy S22Rival 0.610.651.22 1.20
Braamse S24Veteran 0.580.471.17 1.20
OsoGhost S18Rival 0.560.611.17 1.21
CAMSL4YZ82 S14Contender 0.620.51.38 1.23

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.