Lad

Veteran - Double Commit - 16-16 (0.500)
72 OVR
overall rating (0–100) · 32 games · how is this calculated?
Overall rating 72/100 Tier dominance: 91st (+1.3 SD) Projects as: Veteran Role: Striker / 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
7
22% of games
Shot %
38%

Per-game production (percentile within Veteran)

StatPer gameTotalPercentile in tier
Points 390.81 12506
84th
Goals 1.03 33
85th
Assists 0.69 22
75th
Saves 1.38 44
46th
Shots 2.72 87
58th
Demos 1.0 32
49th

League ranking (per game, among 1215 players)

StatPer gameOverall rankRank in Veteran
Points390.81 #161 / 1215 #22 / 170
Goals1.03 #128 / 1215 #19 / 170
Assists0.69 #203 / 1215 #33 / 170
Saves1.38 #385 / 1215 #69 / 170
Demos1.0 #387 / 1215 #64 / 170

Season projection

Medium confidence

56% of the season is played (32 → ~57 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 (77 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 12506 22276 22092 22092 21932 – 22252
Goals 33 59 57 56 49 – 66
Assists 22 39 39 38 32 – 45
Saves 44 78 78 78 69 – 88
Shots 87 155 154 152 141 – 168
Demos 32 57 57 57 49 – 66
MVPs 7 12 12 12 8 – 16

Advanced stats (ballchasing)

Advanced OVR 73 /100

From 29 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 359.5
Avg boost 48.7
Boost stolen / game 635.0
% time at 0 boost 10.5%
Avg speed (uu/s) 1501.7
% supersonic 12.8%
% time high in air 4.0%
Avg distance to ball 3176.3
% time attacking third 23.5%
Demos / game 1.0
Demos taken / game 1.4
Shooting % 38.3%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S23Elite19 0.580.421.53 345
S24Elite19 0.740.581.16 338
S25Elite39 0.670.411.44 359
S26Veteran29 0.970.551.34 359

Beyond RSC - lifetime & other play

External skill estimate: ~49 OVR Medium confidence — inferred from 70 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 72.
SourceGames RecordWin % Score/g
Lifetime (all)2540958-1161 45% 329
RSC (official)4815-23 39% 302
Non-RSC ranked 3v37031-25 55% 304
Non-RSC other2422912-1113 45% 330

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/game0.97 0.91 0.88 – 1.0
Assists/game0.55 0.55 0.5 – 0.58
Saves/game1.34 1.37 1.25 – 1.42
Shots/game2.48 2.63 2.43 – 2.75

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
yurrbo? S21Rival 0.890.561.5 0.88
IIIYummyIII S24Rival 1.030.541.36 0.90
Jay S20Premier 0.80.551.25 0.93
Celiscy S25Rival 1.060.551.4 0.97
GreenSleeves S17Premier 1.00.551.55 0.98
xMaster P S22Challenger 0.790.591.24 1.00
Riko S23Rival 1.050.571.4 1.02
Dark Odst RW7 S20Challenger 0.780.611.33 1.04
S.S.F.C. Doodle! S22Master 0.920.591.47 1.09
Yaki S24Elite 0.90.531.12 1.09

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.