DoorTK

Premier - Capybaras - 13-17 (0.433)
97 OVR
overall rating (0–100) · 30 games · how is this calculated?
Overall rating 97/100 Tier dominance: 44th (-0.3 SD) Projects as: Premier 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
0
0% of games
Shot %
40%

Per-game production (percentile within Premier)

StatPer gameTotalPercentile in tier
Points 323.1 9693
23rd
Goals 0.83 25
65th
Assists 0.53 16
40th
Saves 1.33 40
40th
Shots 2.1 63
8th
Demos 2.13 64
92nd

League ranking (per game, among 1213 players)

StatPer gameOverall rankRank in Premier
Points323.1 #615 / 1213 #40 / 73
Goals0.83 #334 / 1213 #18 / 73
Assists0.53 #471 / 1213 #31 / 73
Saves1.33 #424 / 1213 #31 / 73
Demos2.13 #32 / 1213 #4 / 73

Season projection

High confidence

64% of the season is played (30 → ~47 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 (138 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 9693 15186 15328 15328 15212 – 15443
Goals 25 39 39 39 33 – 45
Assists 16 25 25 26 21 – 30
Saves 40 63 63 63 56 – 70
Shots 63 99 101 100 92 – 111
Demos 64 100 97 98 88 – 106
MVPs 0 0 1 1 0 – 2

Advanced stats (ballchasing)

Advanced OVR 90 /100

From 30 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 384.7
Avg boost 44.5
Boost stolen / game 524.1
% time at 0 boost 12.2%
Avg speed (uu/s) 1599.1
% supersonic 15.2%
% time high in air 5.1%
Avg distance to ball 2833.7
% time attacking third 20.4%
Demos / game 2.1
Demos taken / game 0.9
Shooting % 44.3%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S22Master16 0.750.51.62 406
S23Elite64 0.70.751.36 422
S24Master49 0.820.531.33 387
S25Premier9 0.440.561.0 396
S26Premier30 0.830.531.33 385

Beyond RSC - lifetime & other play

External skill estimate: ~59 OVR Medium confidence — inferred from 86 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 97.
SourceGames RecordWin % Score/g
Lifetime (all)1379590-529 53% 362
RSC (official)2914-8 64% 317
Non-RSC ranked 3v38632-33 49% 320
Non-RSC other1264544-488 53% 366

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/game0.83 0.75 0.66 – 0.85
Assists/game0.53 0.5 0.46 – 0.61
Saves/game1.33 1.36 1.19 – 1.47
Shots/game2.1 2.4 2.2 – 2.53

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
nate S21Prospect 0.790.641.36 1.21
Dayz S21Challenger 0.910.551.36 1.30
Rolf S26Prospect 0.740.681.32 1.30
MagesticEagle1 S23Rival 0.640.531.64 1.33
Soda. . S20Rival 0.850.651.05 1.39
Cuddlingus S22Prospect 1.00.51.25 1.44
huntsman. S17Veteran 0.750.51.12 1.47
DoorTK S21Master 0.580.581.58 1.49
SUPERDUPERBAM S24Rival 0.940.561.19 1.49
Wash3y S26Prospect 0.860.661.38 1.51

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.