Null.Gamer

Veteran - Peppermint - 8-17 (0.320)
65 OVR
overall rating (0–100) · 25 games · how is this calculated?
Overall rating 65/100 Tier dominance: 46th (-0.1 SD) Projects as: Veteran 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
2
8% of games
Shot %
30%

Per-game production (percentile within Veteran)

StatPer gameTotalPercentile in tier
Points 363.28 9082
62nd
Goals 0.76 19
51st
Assists 0.56 14
46th
Saves 1.44 36
55th
Shots 2.56 64
46th
Demos 0.92 23
44th

League ranking (per game, among 1215 players)

StatPer gameOverall rankRank in Veteran
Points363.28 #318 / 1215 #52 / 170
Goals0.76 #451 / 1215 #65 / 170
Assists0.56 #431 / 1215 #74 / 170
Saves1.44 #323 / 1215 #60 / 170
Demos0.92 #494 / 1215 #76 / 170

Season projection

Medium confidence

56% of the season is played (25 → ~44 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 (20 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 9082 15984 15942 15942 15808 – 16075
Goals 19 33 33 33 27 – 40
Assists 14 25 25 24 19 – 30
Saves 36 63 63 65 55 – 72
Shots 64 113 113 112 102 – 124
Demos 23 40 41 40 34 – 48
MVPs 2 4 4 4 2 – 6

Advanced stats (ballchasing)

Advanced OVR 64 /100

From 21 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 379.9
Avg boost 48.7
Boost stolen / game 598.7
% time at 0 boost 12.1%
Avg speed (uu/s) 1529.4
% supersonic 14.9%
% time high in air 4.1%
Avg distance to ball 2769.8
% time attacking third 23.6%
Demos / game 1.0
Demos taken / game 1.2
Shooting % 30.3%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S20Elite20 0.650.41.65 374
S26Veteran21 0.760.521.48 380

Beyond RSC - lifetime & other play

External skill estimate: ~89 OVR Medium confidence — inferred from 45 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 65.
SourceGames RecordWin % Score/g
Lifetime (all)879400-327 55% 361
RSC (official)95-1 83% 469
Non-RSC ranked 3v34515-28 35% 368
Non-RSC other825380-298 56% 360

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/game0.76 0.76 0.72 – 0.82
Assists/game0.52 0.54 0.48 – 0.58
Saves/game1.48 1.46 1.32 – 1.54
Shots/game2.43 2.54 2.46 – 2.71

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
Zay S25Rival 0.760.461.54 0.81
cjAstr0- S22Rival 0.780.561.33 0.89
CN Tyson S24Rival 0.690.531.24 0.94
LikeWisse S23Premier 0.770.41.6 0.98
P0pfgf S24Veteran 0.740.591.2 1.01
Diamond ^.^ S23Master 0.720.541.46 1.05
Justin S23Elite 0.890.581.32 1.06
Skulzy S25Master 0.610.521.35 1.07
Gray S24Elite 0.820.571.54 1.08
voakes S24Veteran 0.770.431.46 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.