Luminati

Master - Imperatores - 6-4 (0.600)
👤 Career - also played as Luminati7
93 OVR
overall rating (0–100) · 10 games · how is this calculated?
Overall rating 93/100 Tier dominance: 81st (+0.9 SD) Projects as: Master Role: Star all-rounder
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
2
20% of games
Shot %
32%

Per-game production (percentile within Master)

StatPer gameTotalPercentile in tier
Points 391.0 3910
77th
Goals 0.9 9
73rd
Assists 1.1 11
99th
Saves 1.6 16
73rd
Shots 2.8 28
69th
Demos 2.0 20
88th

League ranking (per game, among 1213 players)

StatPer gameOverall rankRank in Master
Points391.0 #163 / 1213 #18 / 107
Goals0.9 #264 / 1213 #21 / 107
Assists1.1 #7 / 1213 #1 / 107
Saves1.6 #169 / 1213 #21 / 107
Demos2.0 #38 / 1213 #5 / 107

Season projection

Low confidence

60% of the season is played (10 → ~17 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 (87 games across 2 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 3910 6647 6523 6523 6446 – 6600
Goals 9 15 15 15 11 – 18
Assists 11 19 17 17 13 – 21
Saves 16 27 26 27 22 – 31
Shots 28 48 47 47 40 – 53
Demos 20 34 31 37 26 – 37
MVPs 2 3 3 3 2 – 5

Advanced stats (ballchasing)

From 5 ballchasing replays (matches + scrims). Not enough replays for an Advanced OVR yet.

Boost / min 421.9
Avg boost 44.2
Boost stolen / game 417.6
% time at 0 boost 18.6%
Avg speed (uu/s) 1581.9
% supersonic 17.3%
% time high in air 6.6%
Avg distance to ball 2991.9
% time attacking third 17.2%
Demos / game 2.8
Demos taken / game 1.0
Shooting % 28.3%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S21Elite4 0.50.251.25 373
S22Elite4 0.750.02.25 429
S24Elite63 0.890.751.67 449
S25Master24 0.790.751.29 426
S26Master10 0.91.11.6 435

Beyond RSC - lifetime & other play

External skill estimate: ~60 OVR High confidence — inferred from 629 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 93.
SourceGames RecordWin % Score/g
Lifetime (all)57072484-1981 56% 425
RSC (official)4315-17 47% 415
Non-RSC ranked 3v3629227-234 49% 322
Non-RSC other50352242-1730 56% 438

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/game0.9 0.82 0.79 – 0.98
Assists/game1.1 0.81 0.75 – 0.92
Saves/game1.6 1.38 1.33 – 1.53
Shots/game2.8 2.75 2.5 – 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
Parker hates rl S22Challenger 1.121.01.25 1.78
BIGbadBULLMAN13 S17Rival 0.791.041.5 2.13
Colinn S26Elite 0.960.811.96 2.17
DJDancingDuckGif S20Elite 1.251.01.5 2.17
swazy. S13Premier 0.81.01.33 2.18
afterburner3375 S23Master 0.820.771.55 2.23
Astro-HxIIFire S26Elite 0.940.751.31 2.23
Krueger0216 S17Elite 0.750.751.94 2.24
3 12 9 24 25 S26Rival 0.751.01.25 2.27
Hirsch S22Master 0.810.881.31 2.29

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.