Reported.

Master - Air Buds - 4-0 (1.000)
90 OVR
overall rating (0–100) · 4 games · how is this calculated?
Overall rating 90/100 Tier dominance: 46th (-0.3 SD) Projects as: Master 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 %
33%

Per-game production (percentile within Master)

StatPer gameTotalPercentile in tier
Points 299.75 1199
13th
Goals 0.75 3
47th
Assists 0.0 0
0th
Saves 1.25 5
32nd
Shots 2.25 9
24th
Demos 2.0 8
88th

League ranking (per game, among 1213 players)

StatPer gameOverall rankRank in Master
Points299.75 #743 / 1213 #68 / 107
Goals0.75 #443 / 1213 #37 / 107
Assists0.0 #915 / 1213 #71 / 107
Saves1.25 #507 / 1213 #51 / 107
Demos2.0 #38 / 1213 #5 / 107

Season projection

Low confidence

60% of the season is played (4 → ~7 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 (184 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 1199 2098 2201 2201 2156 – 2247
Goals 3 5 5 6 3 – 7
Assists 0 0 1 2 0 – 2
Saves 5 9 9 9 6 – 12
Shots 9 16 16 16 12 – 20
Demos 8 14 12 12 9 – 15
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 417.8
Avg boost 45.5
Boost stolen / game 673.5
% time at 0 boost 9.9%
Avg speed (uu/s) 1514.3
% supersonic 15.9%
% time high in air 5.3%
Avg distance to ball 3047.9
% time attacking third 23.9%
Demos / game 2.0
Demos taken / game 1.0
Shooting % 33.3%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S20Elite18 0.610.391.56 368
S21Elite20 0.950.851.75 373
S22Elite4 1.00.750.75 355
S23Elite60 0.90.671.28 365
S24Elite50 1.00.921.74 394
S25Master36 0.830.51.61 390
S26Master4 0.750.01.25 418

Beyond RSC - lifetime & other play

External skill estimate: ~69 OVR High confidence — inferred from 805 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 90.
SourceGames RecordWin % Score/g
Lifetime (all)60522594-1939 57% 390
RSC (official)2211-8 58% 413
Non-RSC ranked 3v3805293-279 51% 337
Non-RSC other52252290-1652 58% 398

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/game0.9 0.84 0.79 – 0.89
Assists/game0.67 0.62 0.57 – 0.66
Saves/game1.28 1.26 1.1 – 1.38
Shots/game2.4 2.46 2.38 – 2.6

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
johkev S25Challenger 0.810.581.4 0.81
Ninji <3 S23Challenger 0.930.661.38 0.84
Joxtrot S22Master 0.820.661.41 0.85
dafiya711 S24Rival 0.890.571.07 0.87
Mick S23Challenger 0.910.731.22 0.89
akaBryan S14Elite 1.00.751.25 0.93
Danub S24Rival 0.710.591.31 0.94
NoobZ S26Veteran 0.880.721.44 0.95
Tiz Samu S24Elite 0.720.641.26 0.96
BillyGatez S26Elite 0.720.611.17 0.96

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.