DQ.

Master - Diplomats - 11-9 (0.550)
94 OVR
overall rating (0–100) · 20 games · how is this calculated?
Overall rating 94/100 Tier dominance: 96th (+1.9 SD) Projects as: Master Role: Striker / Playmaker
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
4
20% of games
Shot %
45%

Per-game production (percentile within Master)

StatPer gameTotalPercentile in tier
Points 441.15 8823
95th
Goals 1.35 27
99th
Assists 0.8 16
90th
Saves 1.1 22
26th
Shots 3.0 60
77th
Demos 1.3 26
56th

League ranking (per game, among 1213 players)

StatPer gameOverall rankRank in Master
Points441.15 #25 / 1213 #4 / 107
Goals1.35 #15 / 1213 #1 / 107
Assists0.8 #86 / 1213 #8 / 107
Saves1.1 #655 / 1213 #58 / 107
Demos1.3 #218 / 1213 #34 / 107

Season projection

Medium confidence

60% of the season is played (20 → ~33 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 (187 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 8823 14558 14224 14224 14110 – 14338
Goals 27 45 42 42 36 – 48
Assists 16 26 25 25 21 – 30
Saves 22 36 37 37 31 – 43
Shots 60 99 97 97 88 – 107
Demos 26 43 42 44 36 – 49
MVPs 4 7 6 6 4 – 9

Advanced stats (ballchasing)

Advanced OVR 99 /100

From 20 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 415.2
Avg boost 49.5
Boost stolen / game 589.8
% time at 0 boost 12.4%
Avg speed (uu/s) 1550.2
% supersonic 17.5%
% time high in air 5.7%
Avg distance to ball 2911.3
% time attacking third 21.7%
Demos / game 1.3
Demos taken / game 1.1
Shooting % 45.6%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S21Premier8 0.50.50.88 412
S22Master56 0.820.611.12 434
S23Master27 0.480.371.7 391
S24Master42 0.980.711.4 408
S25Master54 0.760.561.07 412
S26Master20 1.350.81.1 415

Beyond RSC - lifetime & other play

External skill estimate: ~82 OVR High confidence — inferred from 2878 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 94.
SourceGames RecordWin % Score/g
Lifetime (all)74913047-2976 51% 393
RSC (official)5021-20 51% 390
Non-RSC ranked 3v328781084-1119 49% 357
Non-RSC other45631942-1837 51% 416

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

Medium 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/game1.35 1.13 1.06 – 1.2
Assists/game0.8 0.73 0.66 – 0.8
Saves/game1.1 1.23 1.09 – 1.34
Shots/game3.0 2.94 2.83 – 3.19

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
Seishir0_Nagii S26Rival 1.260.651.3 1.34
Rzemble S14Master 1.250.881.12 1.36
WinterMajorChamp S25Master 1.040.731.23 1.42
LMNS S24Premier 1.060.811.38 1.46
Froz3nSlack5r S19Contender 1.310.621.12 1.48
Nahzey S22Veteran 1.130.641.32 1.54
K A Z I S20Premier 1.00.671.0 1.54
vidhawk rl S25Premier 1.10.651.14 1.55
Rev S21Elite 1.380.751.12 1.56
Unexpected S20Master 1.20.61.0 1.56

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.