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Master - Andromeda - 6-3 (0.667)
👤 Career - also played as wigglebean wrangler
89 OVR
overall rating (0–100) · 9 games · how is this calculated?
Overall rating 89/100 Tier dominance: 36th (-0.5 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
0
0% of games
Shot %
27%

Per-game production (percentile within Master)

StatPer gameTotalPercentile in tier
Points 284.56 2561
10th
Goals 0.78 7
58th
Assists 0.67 6
72nd
Saves 0.78 7
6th
Shots 2.89 26
72nd
Demos 0.56 5
6th

League ranking (per game, among 1213 players)

StatPer gameOverall rankRank in Master
Points284.56 #796 / 1213 #70 / 107
Goals0.78 #415 / 1213 #33 / 107
Assists0.67 #234 / 1213 #22 / 107
Saves0.78 #870 / 1213 #73 / 107
Demos0.56 #774 / 1213 #72 / 107

Season projection

Low confidence

60% of the season is played (9 → ~15 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 (52 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 2561 4268 4457 4457 4392 – 4521
Goals 7 12 12 12 8 – 15
Assists 6 10 10 10 7 – 12
Saves 7 12 13 14 10 – 17
Shots 26 43 42 42 36 – 48
Demos 5 8 10 10 7 – 13
MVPs 0 0 0 0 0 – 1

Advanced stats (ballchasing)

From 9 ballchasing replays (matches + scrims). Not enough replays for an Advanced OVR yet.

Boost / min 399.9
Avg boost 50.2
Boost stolen / game 415.1
% time at 0 boost 12.5%
Avg speed (uu/s) 1532.6
% supersonic 12.9%
% time high in air 5.9%
Avg distance to ball 2986.8
% time attacking third 21.7%
Demos / game 0.6
Demos taken / game 1.7
Shooting % 26.2%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S21Elite8 0.750.881.88 377
S22Master33 0.910.521.12 370
S25Master11 0.550.551.54 376
S26Master9 0.780.670.78 400

Beyond RSC - lifetime & other play

External skill estimate: ~75 OVR High confidence — inferred from 594 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 89.
SourceGames RecordWin % Score/g
Lifetime (all)80183448-2991 54% 411
RSC (official)229-8 53% 395
Non-RSC ranked 3v3594257-216 54% 346
Non-RSC other74023182-2767 53% 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

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/game0.78 0.82 0.75 – 0.86
Assists/game0.67 0.67 0.62 – 0.74
Saves/game0.78 0.9 0.82 – 1.0
Shots/game2.89 2.76 2.67 – 2.88

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
Lone-LE S14Challenger 0.890.560.89 0.77
Ryan. S19Veteran 0.830.581.0 0.83
bayylock S24Rival 0.830.670.92 0.88
Free. S17Challenger 0.880.620.75 0.93
ARJ S25Veteran 0.80.740.89 0.94
nickm S24Elite 0.770.641.07 1.00
galactic S13Veteran 0.750.620.75 1.01
depressed vibez S23Veteran 0.860.60.88 1.01
Flexy S23Elite 0.860.640.82 1.06
Ziffy S25Veteran 0.740.680.97 1.11

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.