KING.

Master - Diplomats - 2-13 (0.133)
86 OVR
overall rating (0–100) · 15 games · how is this calculated?
Overall rating 86/100 Tier dominance: 5th (-1.6 SD) Projects as: Elite ↓ Below tier level 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
0
0% of games
Shot %
16%

Per-game production (percentile within Master)

StatPer gameTotalPercentile in tier
Points 303.07 4546
15th
Goals 0.47 7
12th
Assists 0.47 7
33rd
Saves 0.93 14
10th
Shots 2.87 43
74th
Demos 0.87 13
32nd

League ranking (per game, among 1215 players)

StatPer gameOverall rankRank in Master
Points303.07 #734 / 1215 #66 / 107
Goals0.47 #833 / 1215 #69 / 107
Assists0.47 #617 / 1215 #51 / 107
Saves0.93 #823 / 1215 #70 / 107
Demos0.87 #539 / 1215 #53 / 107

Season projection

Low confidence

60% of the season is played (15 → ~25 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 (169 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 4546 7577 7737 7737 7651 – 7824
Goals 7 12 13 13 9 – 16
Assists 7 12 12 12 8 – 15
Saves 14 23 25 25 20 – 30
Shots 43 72 71 71 62 – 79
Demos 13 22 23 22 18 – 28
MVPs 0 0 1 1 0 – 2

Advanced stats (ballchasing)

Advanced OVR 9 /100

From 12 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 388.0
Avg boost 47.7
Boost stolen / game 360.4
% time at 0 boost 17.1%
Avg speed (uu/s) 1448.3
% supersonic 10.2%
% time high in air 5.6%
Avg distance to ball 2675.6
% time attacking third 19.3%
Demos / game 1.0
Demos taken / game 1.5
Shooting % 21.5%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S20Elite4 0.50.250.25 392
S21Elite16 1.060.51.38 414
S22Elite5 1.00.81.4 443
S23Elite63 0.730.621.29 411
S24Elite64 0.880.641.47 437
S25Master26 0.380.51.38 392
S26Master12 0.50.421.08 388

Beyond RSC - lifetime & other play

External skill estimate: ~87 OVR High confidence — inferred from 1131 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 86.
SourceGames RecordWin % Score/g
Lifetime (all)98213939-3946 50% 413
RSC (official)11941-59 41% 360
Non-RSC ranked 3v31131418-415 50% 364
Non-RSC other85713480-3472 50% 420

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/game0.5 0.62 0.58 – 0.72
Assists/game0.42 0.44 0.38 – 0.46
Saves/game1.08 1.17 1.08 – 1.27
Shots/game2.83 2.66 2.54 – 2.78

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
7aco104 S23Challenger 0.760.41.18 1.18
EzPz Scopezz S14Elite 0.580.581.0 1.21
Blurrryy. S26Rival 0.480.440.96 1.21
Nahzey S13Challenger 0.620.561.12 1.23
AGrav. S14Elite 0.50.381.12 1.23
Ziffy S26Veteran 0.690.411.0 1.26
NitemareRL S14Prospect 0.560.440.89 1.29
iiHeapCheap S26Contender 0.630.441.04 1.31
IlLuSiOnChAoS S20Prospect 0.620.350.96 1.31
Drebin. S21Rival 0.630.531.16 1.33

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.