nelz

Master - Helicoprions - 21-11 (0.656)
93 OVR
overall rating (0–100) · 32 games · how is this calculated?
Overall rating 93/100 Tier dominance: 85th (+1.0 SD) Projects as: Master Role: Playmaker / 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
7
22% of games
Shot %
27%

Per-game production (percentile within Master)

StatPer gameTotalPercentile in tier
Points 348.81 11162
44th
Goals 0.91 29
74th
Assists 0.72 23
79th
Saves 1.06 34
21st
Shots 3.34 107
91st
Demos 0.62 20
10th

League ranking (per game, among 1213 players)

StatPer gameOverall rankRank in Master
Points348.81 #432 / 1213 #44 / 107
Goals0.91 #258 / 1213 #20 / 107
Assists0.72 #180 / 1213 #16 / 107
Saves1.06 #700 / 1213 #62 / 107
Demos0.62 #718 / 1213 #70 / 107

Season projection

High confidence

60% of the season is played (32 → ~53 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 (113 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 11162 18487 18497 18497 18362 – 18633
Goals 29 48 47 46 41 – 54
Assists 23 38 37 38 31 – 43
Saves 34 56 58 60 50 – 65
Shots 107 177 174 171 161 – 187
Demos 20 33 35 37 29 – 42
MVPs 7 12 11 11 8 – 15

Advanced stats (ballchasing)

Advanced OVR 47 /100

From 28 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 368.9
Avg boost 54.3
Boost stolen / game 551.1
% time at 0 boost 8.6%
Avg speed (uu/s) 1549.8
% supersonic 16.5%
% time high in air 6.0%
Avg distance to ball 2940.4
% time attacking third 24.8%
Demos / game 0.7
Demos taken / game 1.1
Shooting % 26.6%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S23Master11 0.550.181.18 332
S24Master48 0.60.61.6 356
S25Master54 0.650.741.93 370
S26Master32 0.910.721.06 371

Beyond RSC - lifetime & other play

External skill estimate: ~73 OVR High confidence — inferred from 290 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 93.
SourceGames RecordWin % Score/g
Lifetime (all)27801119-1065 51% 407
RSC (official)124-3 57% 341
Non-RSC ranked 3v3290120-93 56% 343
Non-RSC other2478995-969 51% 415

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/game0.91 0.88 0.85 – 0.95
Assists/game0.72 0.7 0.64 – 0.75
Saves/game1.06 1.15 1.07 – 1.21
Shots/game3.34 3.12 2.96 – 3.31

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
Redfire0817 S23Elite 0.880.751.17 0.90
GreenSleeves S18Premier 0.880.751.0 1.17
GAVALANCHE S18Master 0.880.751.0 1.26
Ditto S22Elite 0.830.581.17 1.28
azurified S23Veteran 0.980.751.15 1.31
Avid S20Veteran 0.850.71.2 1.37
xZoarny S21Veteran 1.070.81.07 1.39
waffles S26Rival 0.870.711.19 1.40
AEB311 S25Elite 0.860.641.11 1.42
Cryptt. S24Premier 0.880.631.02 1.45

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.