Melted

Master - Aces - 16-16 (0.500)
90 OVR
overall rating (0–100) · 32 games · how is this calculated?
Overall rating 90/100 Tier dominance: 51st (-0.3 SD) Projects as: Master Role: 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
1
3% of games
Shot %
28%

Per-game production (percentile within Master)

StatPer gameTotalPercentile in tier
Points 358.53 11473
50th
Goals 0.66 21
37th
Assists 0.84 27
95th
Saves 1.44 46
51st
Shots 2.31 74
32nd
Demos 1.5 48
69th

League ranking (per game, among 1215 players)

StatPer gameOverall rankRank in Master
Points358.53 #354 / 1215 #39 / 107
Goals0.66 #626 / 1215 #48 / 107
Assists0.84 #67 / 1215 #4 / 107
Saves1.44 #325 / 1215 #37 / 107
Demos1.5 #129 / 1215 #21 / 107

Season projection

High confidence

60% of the season is played (32 → ~53 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 (116 games across 3 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 11473 19002 18963 18963 18826 – 19100
Goals 21 35 35 34 29 – 41
Assists 27 45 43 43 37 – 50
Saves 46 76 76 75 67 – 85
Shots 74 123 124 123 112 – 135
Demos 48 80 78 78 70 – 87
MVPs 1 2 2 2 1 – 4

Advanced stats (ballchasing)

Advanced OVR 49 /100

From 28 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 359.7
Avg boost 48.0
Boost stolen / game 559.1
% time at 0 boost 12.6%
Avg speed (uu/s) 1510.7
% supersonic 12.9%
% time high in air 5.1%
Avg distance to ball 2790.9
% time attacking third 21.8%
Demos / game 1.4
Demos taken / game 1.0
Shooting % 23.6%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S20Master24 0.380.330.96 372
S21Master32 0.560.441.09 372
S25Master60 0.680.521.4 360
S26Master28 0.610.791.39 360

Beyond RSC - lifetime & other play

External skill estimate: ~58 OVR High confidence — inferred from 2451 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)49861961-1929 50% 332
RSC (official)176-6 50% 296
Non-RSC ranked 3v32451973-919 51% 318
Non-RSC other2518982-1004 49% 347

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/game0.61 0.65 0.58 – 0.7
Assists/game0.79 0.7 0.66 – 0.81
Saves/game1.39 1.34 1.21 – 1.46
Shots/game2.39 2.33 2.25 – 2.46

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
josan S14Elite 0.690.811.38 0.76
Pythronex S25Veteran 0.660.661.34 0.83
jknop2 S23Veteran 0.610.691.55 0.87
bosco S24Master 0.50.751.33 0.90
branielthedaniel S25Rival 0.640.711.17 0.93
Rexxay614 S13Rival 0.620.621.38 0.99
Taiyo S26Master 0.70.751.5 1.00
Darf01 S13Premier 0.50.71.1 1.04
Divine S22Premier 0.750.831.58 1.06
branthedan S24Rival 0.480.641.46 1.10

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.