JK

Premier - Leviathans - 10-14 (0.417)
👤 Career - also played as Feathers McGraw
95 OVR
overall rating (0–100) · 24 games · how is this calculated?
Overall rating 95/100 Tier dominance: 10th (-1.0 SD) Projects as: Premier Role: Role player
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
5
21% of games
Shot %
19%

Per-game production (percentile within Premier)

StatPer gameTotalPercentile in tier
Points 323.58 7766
25th
Goals 0.46 11
12th
Assists 0.54 13
42nd
Saves 1.5 36
54th
Shots 2.38 57
31st
Demos 1.04 25
42nd

League ranking (per game, among 1213 players)

StatPer gameOverall rankRank in Premier
Points323.58 #612 / 1213 #39 / 73
Goals0.46 #834 / 1213 #46 / 73
Assists0.54 #451 / 1213 #29 / 73
Saves1.5 #241 / 1213 #21 / 73
Demos1.04 #366 / 1213 #30 / 73

Season projection

Medium confidence

64% of the season is played (24 → ~37 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 (80 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 7766 11973 12100 12100 12000 – 12200
Goals 11 17 18 18 14 – 22
Assists 13 20 20 21 16 – 24
Saves 36 56 55 55 49 – 62
Shots 57 88 89 90 80 – 98
Demos 25 39 39 37 34 – 45
MVPs 5 8 8 8 5 – 10

Advanced stats (ballchasing)

Advanced OVR 32 /100

From 24 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 394.0
Avg boost 51.9
Boost stolen / game 529.7
% time at 0 boost 9.3%
Avg speed (uu/s) 1498.6
% supersonic 13.6%
% time high in air 7.5%
Avg distance to ball 2829.7
% time attacking third 20.0%
Demos / game 1.0
Demos taken / game 0.9
Shooting % 20.7%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S20Premier16 0.560.51.75 380
S22Premier13 0.621.01.15 382
S23Premier51 0.920.961.39 370
S25Premier4 0.750.251.25 388
S26Premier24 0.460.541.5 394

Beyond RSC - lifetime & other play

External skill estimate: ~75 OVR High confidence — inferred from 351 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 95.
SourceGames RecordWin % Score/g
Lifetime (all)1135457-398 53% 368
Non-RSC ranked 3v3351113-131 46% 346
Non-RSC other784344-267 56% 378

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/game0.46 0.54 0.47 – 0.6
Assists/game0.54 0.56 0.52 – 0.59
Saves/game1.5 1.5 1.45 – 1.56
Shots/game2.38 2.23 2.14 – 2.41

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
Beans S23Elite 0.480.521.52 0.84
(P|F)ineapple S23Elite 0.490.561.33 0.84
Hxccxp S25Veteran 0.40.531.47 0.86
Boog McCroog S22Master 0.480.521.56 0.92
qFoal S26Challenger 0.470.561.59 0.93
Rule S23Premier 0.60.621.49 0.95
Kri0s S23Master 0.460.541.54 0.97
Super S23Master 0.710.531.58 1.04
Drupenson S25Veteran 0.670.591.56 1.04
Assassin_funny. S23Veteran 0.560.61.66 1.05

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.