kareemostyle

Veteran - Pushwalkers - 17-14 (0.548)
67 OVR
overall rating (0–100) · 31 games · how is this calculated?
Overall rating 67/100 Tier dominance: 62nd (+0.2 SD) Projects as: Veteran 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
4
13% of games
Shot %
24%

Per-game production (percentile within Veteran)

StatPer gameTotalPercentile in tier
Points 352.48 10927
51st
Goals 0.68 21
32nd
Assists 0.74 23
82nd
Saves 1.35 42
44th
Shots 2.84 88
68th
Demos 1.32 41
71st

League ranking (per game, among 1215 players)

StatPer gameOverall rankRank in Veteran
Points352.48 #400 / 1215 #67 / 170
Goals0.68 #596 / 1215 #92 / 170
Assists0.74 #149 / 1215 #24 / 170
Saves1.35 #416 / 1215 #76 / 170
Demos1.32 #212 / 1215 #39 / 170

Season projection

Medium confidence

56% of the season is played (31 → ~55 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 (8 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 10927 19387 19394 19394 19244 – 19544
Goals 21 37 38 35 31 – 44
Assists 23 41 40 43 33 – 47
Saves 42 75 75 74 65 – 84
Shots 88 156 155 147 142 – 168
Demos 41 73 72 72 63 – 81
MVPs 4 7 7 7 4 – 10

Advanced stats (ballchasing)

Advanced OVR 44 /100

From 27 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 411.2
Avg boost 48.4
Boost stolen / game 495.7
% time at 0 boost 15.5%
Avg speed (uu/s) 1554.5
% supersonic 14.3%
% time high in air 4.7%
Avg distance to ball 2864.7
% time attacking third 21.9%
Demos / game 1.4
Demos taken / game 1.1
Shooting % 23.0%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S22Elite8 0.381.01.25 367
S26Veteran27 0.670.671.37 411

Beyond RSC - lifetime & other play

External skill estimate: ~59 OVR High confidence — inferred from 1255 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 67.
SourceGames RecordWin % Score/g
Lifetime (all)58772250-2297 49% 353
RSC (official)5325-21 54% 358
Non-RSC ranked 3v31255476-459 51% 319
Non-RSC other45691749-1817 49% 362

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/game0.67 0.7 0.63 – 0.77
Assists/game0.67 0.62 0.6 – 0.69
Saves/game1.37 1.33 1.24 – 1.45
Shots/game2.7 2.57 2.42 – 2.65

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
IKlutch all in TTV (Live) S23Veteran 0.690.691.41 0.64
George Floyd's Inhaler S24Veteran 0.720.671.28 0.72
Synnicall S25Rival 0.680.641.23 0.81
Navik S20Elite 0.630.731.5 0.83
Jonezy S26Veteran 0.620.691.41 0.84
Kri0s S18Master 0.670.671.17 0.86
Leonis S20Premier 0.850.651.45 0.88
Lee-Lo S18Challenger 0.620.621.38 0.89
Ex ample S23Challenger 0.70.61.18 0.92
Akuma S26Veteran 0.650.61.5 0.92

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.