Based Fame

Veteran - Luna Moths - 6-11 (0.353)
👤 Career - also played as Cameron
68 OVR
overall rating (0–100) · 17 games · how is this calculated?
Overall rating 68/100 Tier dominance: 65th (+0.3 SD) Projects as: Veteran Role: Striker
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
3
18% of games
Shot %
31%

Per-game production (percentile within Veteran)

StatPer gameTotalPercentile in tier
Points 322.18 5477
20th
Goals 0.94 16
76th
Assists 0.53 9
38th
Saves 0.94 16
7th
Shots 3.0 51
79th
Demos 0.65 11
16th

League ranking (per game, among 1215 players)

StatPer gameOverall rankRank in Veteran
Points322.18 #635 / 1215 #109 / 170
Goals0.94 #204 / 1215 #32 / 170
Assists0.53 #483 / 1215 #83 / 170
Saves0.94 #817 / 1215 #126 / 170
Demos0.65 #720 / 1215 #114 / 170

Season projection

Low confidence

56% of the season is played (17 → ~30 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 (12 games across 1 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 5477 9665 9798 9798 9694 – 9902
Goals 16 28 28 27 22 – 33
Assists 9 16 16 15 12 – 20
Saves 16 28 30 31 24 – 36
Shots 51 90 88 86 79 – 98
Demos 11 19 21 21 16 – 26
MVPs 3 5 5 5 3 – 8

Advanced stats (ballchasing)

Advanced OVR 34 /100

From 19 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 301.3
Avg boost 49.0
Boost stolen / game 432.9
% time at 0 boost 7.1%
Avg speed (uu/s) 1400.2
% supersonic 10.3%
% time high in air 5.1%
Avg distance to ball 3064.8
% time attacking third 24.7%
Demos / game 0.6
Demos taken / game 0.6
Shooting % 35.3%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S20Elite12 0.750.331.42 352
S21Elite1 0.00.01.0 339
S26Veteran19 1.00.580.84 301

Beyond RSC - lifetime & other play

External skill estimate: ~57 OVR High confidence — inferred from 2413 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 68.
SourceGames RecordWin % Score/g
Lifetime (all)60982355-2518 48% 332
RSC (official)4217-14 55% 344
Non-RSC ranked 3v32413904-999 48% 317
Non-RSC other36431434-1505 49% 341

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/game1.0 0.92 0.89 – 1.03
Assists/game0.58 0.55 0.5 – 0.61
Saves/game0.84 0.85 0.82 – 1.0
Shots/game2.84 2.54 2.4 – 2.8

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
Grey S22Contender 1.090.680.85 0.94
yoshawatt S23Prospect 0.910.520.83 1.11
i like bananas S20Rival 1.00.50.88 1.17
Malik_P4 S24Rival 0.910.620.85 1.30
Way2Luckee S23Challenger 1.00.390.68 1.37
HU-ALTO S21Contender 1.140.510.92 1.42
tterb86 S20Rival 0.920.581.0 1.43
SlmRnchr S22Veteran 0.90.511.0 1.46
renightly S20Prospect 1.030.530.93 1.48
SuperShooter777 S14Amateur 1.190.620.88 1.49

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.