wntr

Veteran - Gorillas - 1-4 (0.200)
👤 Career - also played as wntr/x
59 OVR
overall rating (0–100) · 5 games · how is this calculated?
Overall rating 59/100 Tier dominance: 8th (-1.3 SD) Projects as: Veteran Role: Anchor
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
0
0% of games
Shot %
22%

Per-game production (percentile within Veteran)

StatPer gameTotalPercentile in tier
Points 306.8 1534
12th
Goals 0.4 2
10th
Assists 0.4 2
15th
Saves 1.8 9
88th
Shots 1.8 9
7th
Demos 0.4 2
6th

League ranking (per game, among 1215 players)

StatPer gameOverall rankRank in Veteran
Points306.8 #718 / 1215 #119 / 170
Goals0.4 #872 / 1215 #123 / 170
Assists0.4 #725 / 1215 #113 / 170
Saves1.8 #69 / 1215 #15 / 170
Demos0.4 #877 / 1215 #128 / 170

Season projection

Low confidence

56% of the season is played (5 → ~9 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 (109 games across 5 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 1534 2761 2877 2877 2824 – 2931
Goals 2 4 5 4 2 – 7
Assists 2 4 4 4 2 – 6
Saves 9 16 15 14 12 – 19
Shots 9 16 18 17 14 – 23
Demos 2 4 5 6 3 – 8
MVPs 0 0 0 0 0 – 1

Advanced stats (ballchasing)

From 4 ballchasing replays (matches + scrims). Not enough replays for an Advanced OVR yet.

Boost / min 327.7
Avg boost 52.8
Boost stolen / game 385.2
% time at 0 boost 11.2%
Avg speed (uu/s) 1490.1
% supersonic 11.1%
% time high in air 4.4%
Avg distance to ball 2908.9
% time attacking third 18.9%
Demos / game 0.2
Demos taken / game 0.2
Shooting % 33.3%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S21Veteran12 0.50.751.5 310
S22Veteran9 0.110.561.22 330
S23Veteran12 0.830.670.92 315
S24Rival44 0.590.681.02 325
S25Rival32 0.530.51.12 323
S26Veteran4 0.50.51.75 328

Beyond RSC - lifetime & other play

External skill estimate: ~36 OVR Low confidence — inferred from 30 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 59.
SourceGames RecordWin % Score/g
Lifetime (all)1317555-511 52% 319
RSC (official)136-4 60% 238
Non-RSC ranked 3v33012-10 55% 282
Non-RSC other1274537-497 52% 320

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/game0.53 0.64 0.58 – 0.71
Assists/game0.5 0.5 0.44 – 0.57
Saves/game1.12 1.12 1.0 – 1.25
Shots/game2.72 2.53 2.43 – 2.65

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
dino_chick3n S21Prospect 0.620.51.0 1.09
Its_Lost S26Challenger 0.560.51.25 1.09
Vaz1fy. S23Rival 0.710.551.33 1.14
Dooober S25Elite 0.610.631.2 1.14
Boog McCroog S21Master 0.720.591.22 1.17
Spare4daGreen S26Contender 0.680.571.18 1.18
LustLizard S21Challenger 0.440.520.96 1.19
Chill S21Elite 0.640.50.93 1.20
Beanie_92 S17Prospect 0.60.471.07 1.20
Cob S24Rival 0.550.51.23 1.21

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.