iSuperiorAlpha

Elite - Forest Cobra - 6-6 (0.500)
👤 Career - also played as Soup
73 OVR
overall rating (0–100) · 12 games · how is this calculated?
Overall rating 73/100 Tier dominance: 6th (-1.4 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
0
0% of games
Shot %
18%

Per-game production (percentile within Elite)

StatPer gameTotalPercentile in tier
Points 250.83 3010
2nd
Goals 0.33 4
3rd
Assists 0.67 8
67th
Saves 0.83 10
5th
Shots 1.83 22
9th
Demos 1.33 16
74th

League ranking (per game, among 1215 players)

StatPer gameOverall rankRank in Elite
Points250.83 #899 / 1215 #126 / 179
Goals0.33 #893 / 1215 #124 / 179
Assists0.67 #229 / 1215 #41 / 179
Saves0.83 #862 / 1215 #122 / 179
Demos1.33 #203 / 1215 #31 / 179

Season projection

Low confidence

56% of the season is played (12 → ~21 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 (60 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 3010 5268 5641 5641 5562 – 5720
Goals 4 7 9 11 5 – 12
Assists 8 14 14 15 10 – 17
Saves 10 18 20 20 15 – 24
Shots 22 38 41 47 34 – 48
Demos 16 28 27 26 22 – 32
MVPs 0 0 1 1 0 – 2

Advanced stats (ballchasing)

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

Boost / min 371.6
Avg boost 48.3
Boost stolen / game 448.4
% time at 0 boost 13.5%
Avg speed (uu/s) 1491.0
% supersonic 11.1%
% time high in air 4.2%
Avg distance to ball 2893.4
% time attacking third 18.1%
Demos / game 1.7
Demos taken / game 0.9
Shooting % 22.2%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S20Elite4 0.250.251.0 382
S25Rival60 1.30.881.42 411
S26Elite9 0.440.671.0 372

Beyond RSC - lifetime & other play

External skill estimate: ~51 OVR High confidence — inferred from 2070 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 73.
SourceGames RecordWin % Score/g
Lifetime (all)69392742-2754 50% 366
RSC (official)3826-9 74% 426
Non-RSC ranked 3v32070823-720 53% 306
Non-RSC other48311893-2025 48% 392

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/game0.44 0.56 0.5 – 0.6
Assists/game0.67 0.6 0.56 – 0.64
Saves/game1.0 1.12 1.0 – 1.28
Shots/game2.0 2.0 1.93 – 2.17

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
MizuLogic S25Challenger 0.50.50.88 0.94
turboalpaca S22Challenger 0.560.751.06 1.17
Stakd S23Elite 0.560.581.03 1.41
JoJo-sepy S23Veteran 0.50.640.98 1.44
Stone-Dog Millionaire S24Veteran 0.690.561.14 1.47
Precision S24Prospect 0.60.781.12 1.50
Leoniis. S17Premier 0.580.671.33 1.50
bubles S24Rival 0.70.571.21 1.51
hawk rl S22Premier 0.560.641.08 1.53
Shepherd S24Master 0.570.61.26 1.55

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.