Shraxl

Veteran - Nighthawks - 14-18 (0.438)
69 OVR
overall rating (0–100) · 32 games · how is this calculated?
Overall rating 69/100 Tier dominance: 71st (+0.5 SD) Projects as: Veteran Role: Striker
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
16% of games
Shot %
30%

Per-game production (percentile within Veteran)

StatPer gameTotalPercentile in tier
Points 383.5 12272
76th
Goals 0.94 30
75th
Assists 0.59 19
52nd
Saves 1.5 48
61st
Shots 3.09 99
84th
Demos 0.84 27
38th

League ranking (per game, among 1213 players)

StatPer gameOverall rankRank in Veteran
Points383.5 #200 / 1213 #32 / 169
Goals0.94 #220 / 1213 #31 / 169
Assists0.59 #369 / 1213 #61 / 169
Saves1.5 #241 / 1213 #45 / 169
Demos0.84 #546 / 1213 #83 / 169

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 (92 games across 2 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 12272 21860 21704 21704 21545 – 21863
Goals 30 53 53 54 45 – 60
Assists 19 34 34 34 28 – 40
Saves 48 86 85 85 75 – 95
Shots 99 176 174 176 160 – 188
Demos 27 48 49 50 42 – 57
MVPs 5 9 9 9 6 – 12

Advanced stats (ballchasing)

Advanced OVR 58 /100

From 32 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 358.3
Avg boost 53.0
Boost stolen / game 569.3
% time at 0 boost 9.1%
Avg speed (uu/s) 1479.9
% supersonic 10.8%
% time high in air 4.9%
Avg distance to ball 3054.0
% time attacking third 22.8%
Demos / game 0.8
Demos taken / game 1.1
Shooting % 30.4%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S22Veteran40 0.80.61.25 328
S24Veteran52 1.120.641.65 353
S26Veteran32 0.940.591.5 358

Beyond RSC - lifetime & other play

External skill estimate: ~42 OVR High confidence — inferred from 106 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 69.
SourceGames RecordWin % Score/g
Lifetime (all)1697704-747 49% 402
RSC (official)167-5 58% 407
Non-RSC ranked 3v310636-54 40% 292
Non-RSC other1575661-688 49% 409

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/game0.94 0.92 0.89 – 1.04
Assists/game0.59 0.59 0.56 – 0.63
Saves/game1.5 1.44 1.4 – 1.5
Shots/game3.09 2.91 2.8 – 3.06

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
Lup S25Elite 1.060.671.5 0.64
C01E01 S24Elite 1.020.581.44 0.68
Onward S19Rival 0.890.561.44 0.69
wat S20Rival 1.00.561.5 0.76
Frog_Boot S22Veteran 0.950.611.27 0.84
FrogDrivesCar S23Challenger 1.030.561.56 0.94
sykoshaggy4200 S23Veteran 1.090.521.35 0.95
Saucy Rexy S25Master 0.890.581.42 0.95
mr_marino_ S21Rival 1.080.521.4 0.96
SirChaka1 S26Veteran 1.080.61.48 0.97

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.