WashedDonk

Veteran - Kirin - 14-15 (0.483)
👤 Career - also played as Donkmedaddy
64 OVR
overall rating (0–100) · 29 games · how is this calculated?
Overall rating 64/100 Tier dominance: 38th (-0.3 SD) Projects as: Veteran 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
3
10% of games
Shot %
32%

Per-game production (percentile within Veteran)

StatPer gameTotalPercentile in tier
Points 318.9 9248
15th
Goals 0.72 21
41st
Assists 0.48 14
29th
Saves 1.21 35
31st
Shots 2.24 65
25th
Demos 1.31 38
70th

League ranking (per game, among 1215 players)

StatPer gameOverall rankRank in Veteran
Points318.9 #652 / 1215 #115 / 170
Goals0.72 #519 / 1215 #80 / 170
Assists0.48 #589 / 1215 #96 / 170
Saves1.21 #570 / 1215 #94 / 170
Demos1.31 #217 / 1215 #40 / 170

Season projection

Medium confidence

56% of the season is played (29 → ~52 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 (127 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 9248 16583 16757 16757 16616 – 16899
Goals 21 38 38 37 31 – 45
Assists 14 25 26 26 20 – 31
Saves 35 63 64 66 55 – 72
Shots 65 117 118 118 106 – 130
Demos 38 68 67 67 58 – 76
MVPs 3 5 6 6 3 – 8

Advanced stats (ballchasing)

Advanced OVR 53 /100

From 25 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 368.6
Avg boost 49.9
Boost stolen / game 563.0
% time at 0 boost 9.1%
Avg speed (uu/s) 1574.5
% supersonic 14.1%
% time high in air 4.4%
Avg distance to ball 3168.2
% time attacking third 22.1%
Demos / game 1.3
Demos taken / game 0.8
Shooting % 32.0%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S20Veteran16 0.440.691.81 371
S21Veteran16 0.620.881.62 376
S22Elite3 0.670.671.67 363
S24Veteran35 0.710.571.51 376
S25Veteran60 0.60.51.63 380
S26Veteran25 0.680.561.16 369

Beyond RSC - lifetime & other play

External skill estimate: ~46 OVR High confidence — inferred from 347 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 64.
SourceGames RecordWin % Score/g
Lifetime (all)2067780-814 49% 331
RSC (official)2812-10 55% 268
Non-RSC ranked 3v3347116-131 47% 298
Non-RSC other1692652-673 49% 339

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/game0.68 0.65 0.59 – 0.71
Assists/game0.56 0.58 0.54 – 0.62
Saves/game1.16 1.12 1.07 – 1.25
Shots/game2.16 2.25 2.15 – 2.4

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
AveX InceptionZ S22Challenger 0.570.571.25 0.69
The_Cletus S26Prospect 0.610.611.23 0.71
Reccoonn S23Veteran 0.70.571.3 0.72
Sugar_Biscuit20 S20Prospect 0.710.60.93 0.96
zxch(?) S22Veteran 0.680.681.28 0.98
GameGang S22Veteran 0.70.660.97 0.99
G S14Veteran 0.750.51.0 1.00
Navik S21Elite 0.650.551.2 1.03
R0cket S25Premier 0.590.621.25 1.03
MattViaAirwaves S22Rival 0.620.621.12 1.04

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.