flossy

Elite - Pixel Picassos - 14-22 (0.389)
80 OVR
overall rating (0–100) · 36 games · how is this calculated?
Overall rating 80/100 Tier dominance: 56th (+0.1 SD) Projects as: Elite 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
6
17% of games
Shot %
25%

Per-game production (percentile within Elite)

StatPer gameTotalPercentile in tier
Points 335.75 12087
31st
Goals 0.61 22
22nd
Assists 0.89 32
94th
Saves 1.0 36
8th
Shots 2.44 88
36th
Demos 0.97 35
48th

League ranking (per game, among 1215 players)

StatPer gameOverall rankRank in Elite
Points335.75 #534 / 1215 #89 / 179
Goals0.61 #684 / 1215 #100 / 179
Assists0.89 #47 / 1215 #8 / 179
Saves1.0 #738 / 1215 #110 / 179
Demos0.97 #443 / 1215 #65 / 179

Season projection

Medium confidence

56% of the season is played (36 → ~64 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 (218 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 12087 21488 21584 21584 21424 – 21744
Goals 22 39 40 41 33 – 47
Assists 32 57 55 54 47 – 63
Saves 36 64 66 67 57 – 75
Shots 88 156 157 160 143 – 171
Demos 35 62 63 62 54 – 71
MVPs 6 11 11 11 7 – 14

Advanced stats (ballchasing)

Advanced OVR 24 /100

From 32 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 363.2
Avg boost 49.8
Boost stolen / game 551.0
% time at 0 boost 10.3%
Avg speed (uu/s) 1443.9
% supersonic 9.7%
% time high in air 4.7%
Avg distance to ball 2935.9
% time attacking third 21.5%
Demos / game 1.0
Demos taken / game 1.6
Shooting % 26.2%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S20Elite5 0.40.61.6 361
S21Elite16 0.941.01.5 333
S22Elite12 0.920.081.5 363
S23Elite64 0.690.731.45 365
S24Elite62 1.210.451.4 375
S25Elite64 0.830.411.53 382
S26Elite32 0.560.941.06 363

Beyond RSC - lifetime & other play

External skill estimate: ~67 OVR High confidence — inferred from 399 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 80.
SourceGames RecordWin % Score/g
Lifetime (all)60322365-2461 49% 375
RSC (official)12144-56 44% 328
Non-RSC ranked 3v3399145-158 48% 332
Non-RSC other55122176-2247 49% 379

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/game0.56 0.66 0.5 – 0.75
Assists/game0.94 0.83 0.78 – 0.92
Saves/game1.06 1.07 1.0 – 1.17
Shots/game2.41 2.38 2.25 – 2.48

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
S1r Duck S25Prospect 0.640.911.0 0.82
Jarrtsu S25Elite 0.720.981.05 0.83
Suckiest Sucker S21Veteran 0.550.910.82 1.11
Jackowanou S26Elite 0.710.961.12 1.12
YtExplixiit S24Veteran 0.621.120.88 1.15
AZoroARK S23Prospect 0.750.811.07 1.18
Heyzisthename11 S22Veteran 0.660.881.09 1.19
Braamse S20Veteran 0.330.941.0 1.26
dyl S19Challenger 0.670.920.83 1.27
Squashy S26Veteran 0.640.841.36 1.28

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.