Jay

Premier - Leviathans - 8-10 (0.444)
👤 Career - also played as jay
95 OVR
overall rating (0–100) · 18 games · how is this calculated?
Overall rating 95/100 Tier dominance: 2nd (-1.3 SD) Projects as: Premier Role: Anchor
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 %
15%

Per-game production (percentile within Premier)

StatPer gameTotalPercentile in tier
Points 334.28 6017
38th
Goals 0.39 7
8th
Assists 0.44 8
23rd
Saves 1.67 30
79th
Shots 2.61 47
50th
Demos 1.22 22
60th

League ranking (per game, among 1213 players)

StatPer gameOverall rankRank in Premier
Points334.28 #543 / 1213 #32 / 73
Goals0.39 #866 / 1213 #48 / 73
Assists0.44 #634 / 1213 #40 / 73
Saves1.67 #131 / 1213 #11 / 73
Demos1.22 #263 / 1213 #21 / 73

Season projection

Medium confidence

64% of the season is played (18 → ~28 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 (155 games across 4 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 6017 9360 9447 9447 9359 – 9536
Goals 7 11 12 13 9 – 15
Assists 8 12 13 13 10 – 16
Saves 30 47 46 47 40 – 52
Shots 47 73 74 74 66 – 81
Demos 22 34 34 33 29 – 40
MVPs 0 0 0 0 0 – 2

Advanced stats (ballchasing)

Advanced OVR 17 /100

From 10 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 377.6
Avg boost 51.5
Boost stolen / game 541.1
% time at 0 boost 9.6%
Avg speed (uu/s) 1513.4
% supersonic 13.9%
% time high in air 5.8%
Avg distance to ball 2705.7
% time attacking third 22.5%
Demos / game 1.5
Demos taken / game 2.2
Shooting % 20.4%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S20Premier20 0.80.551.25 336
S21Premier4 0.750.52.5 311
S22Master63 1.250.62.22 358
S23Premier48 0.60.811.33 362
S24Premier24 0.830.671.71 362
S26Premier18 0.390.441.67 374

Beyond RSC - lifetime & other play

External skill estimate: ~66 OVR High confidence — inferred from 372 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)31341365-1156 54% 397
RSC (official)96-2 75% 488
Non-RSC ranked 3v3372132-150 47% 331
Non-RSC other27531227-1004 55% 405

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/game0.39 0.5 0.46 – 0.58
Assists/game0.44 0.51 0.41 – 0.55
Saves/game1.67 1.59 1.54 – 1.67
Shots/game2.61 2.38 2.25 – 2.64

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
Fluffy S25Premier 0.490.61.84 1.18
benpie24 S14Prospect 0.380.251.62 1.23
Legend S23Elite 0.380.381.54 1.27
Jetwind17 S26Challenger 0.470.471.42 1.27
GreenSleeves S24Premier 0.430.431.64 1.28
Defiance S20Veteran 0.570.431.43 1.33
Null.Gamer S20Elite 0.650.41.65 1.34
Ditto S23Elite 0.490.511.67 1.35
Classy S26Elite 0.540.51.68 1.37
Freebo S20Veteran 0.50.671.58 1.37

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.