GameGang

Veteran - Nighthawks - 16-19 (0.457)
67 OVR
overall rating (0–100) · 35 games · how is this calculated?
Overall rating 67/100 Tier dominance: 61st (+0.1 SD) Projects as: Veteran 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
14% of games
Shot %
29%

Per-game production (percentile within Veteran)

StatPer gameTotalPercentile in tier
Points 344.46 12056
42nd
Goals 0.74 26
44th
Assists 0.51 18
38th
Saves 1.26 44
35th
Shots 2.6 91
49th
Demos 1.37 48
74th

League ranking (per game, among 1215 players)

StatPer gameOverall rankRank in Veteran
Points344.46 #463 / 1215 #79 / 170
Goals0.74 #499 / 1215 #75 / 170
Assists0.51 #513 / 1215 #85 / 170
Saves1.26 #512 / 1215 #89 / 170
Demos1.37 #194 / 1215 #35 / 170

Season projection

Medium confidence

56% of the season is played (35 → ~62 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 (171 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 12056 21356 21404 21404 21246 – 21563
Goals 26 46 46 46 39 – 54
Assists 18 32 32 33 26 – 38
Saves 44 78 79 77 69 – 88
Shots 91 161 161 162 148 – 175
Demos 48 85 84 84 74 – 93
MVPs 5 9 9 9 6 – 12

Advanced stats (ballchasing)

Advanced OVR 73 /100

From 31 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 395.5
Avg boost 50.1
Boost stolen / game 587.4
% time at 0 boost 11.7%
Avg speed (uu/s) 1613.4
% supersonic 16.6%
% time high in air 5.6%
Avg distance to ball 3092.9
% time attacking third 22.7%
Demos / game 1.3
Demos taken / game 0.9
Shooting % 31.9%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S21Veteran9 0.780.671.11 360
S22Veteran59 0.70.660.97 372
S23Veteran62 1.030.811.18 366
S24Elite41 0.510.341.07 344
S26Veteran31 0.810.521.19 396

Beyond RSC - lifetime & other play

External skill estimate: ~32 OVR High confidence — inferred from 360 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)1399504-662 43% 328
RSC (official)2415-5 75% 306
Non-RSC ranked 3v3360145-143 50% 276
Non-RSC other1015344-514 40% 347

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/game0.81 0.8 0.73 – 0.85
Assists/game0.52 0.56 0.51 – 0.58
Saves/game1.19 1.25 1.18 – 1.33
Shots/game2.61 2.58 2.54 – 2.66

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
Dosia S24Elite 0.710.581.29 0.72
CrowBar7570 S23Rival 0.710.551.18 0.74
DoorTK S24Master 0.820.531.33 0.74
Frostii S24Challenger 0.960.461.27 0.94
StephM2_ S26Contender 0.940.551.1 0.97
wicked. S22Premier 0.770.651.35 1.01
Jake S24Veteran 0.840.511.44 1.02
luckyraizz S25Challenger 0.880.561.38 1.03
kev S22Premier 0.730.561.22 1.09
SUPERDUPERBAM S19Challenger 1.00.581.08 1.11

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.