Napkhan

Rival - Polar Ice - 16-9 (0.640)
49 OVR
overall rating (0–100) · 25 games · how is this calculated?
Overall rating 49/100 Tier dominance: 34th (-0.5 SD) Projects as: Rival 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
4
16% of games
Shot %
25%

Per-game production (percentile within Rival)

StatPer gameTotalPercentile in tier
Points 278.32 6958
10th
Goals 0.6 15
28th
Assists 0.32 8
13th
Saves 1.24 31
34th
Shots 2.44 61
42nd
Demos 1.36 34
79th

League ranking (per game, among 1215 players)

StatPer gameOverall rankRank in Rival
Points278.32 #831 / 1215 #122 / 164
Goals0.6 #692 / 1215 #96 / 164
Assists0.32 #843 / 1215 #118 / 164
Saves1.24 #539 / 1215 #89 / 164
Demos1.36 #198 / 1215 #29 / 164

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 (155 games across 5 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 6958 12246 12536 12536 12416 – 12656
Goals 15 26 27 28 21 – 33
Assists 8 14 15 15 11 – 19
Saves 31 55 55 56 47 – 63
Shots 61 107 108 108 97 – 119
Demos 34 60 58 57 50 – 66
MVPs 4 7 7 7 4 – 10

Advanced stats (ballchasing)

Advanced OVR 7 /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 391.2
Avg boost 48.3
Boost stolen / game 533.0
% time at 0 boost 12.7%
Avg speed (uu/s) 1458.5
% supersonic 9.0%
% time high in air 2.9%
Avg distance to ball 3192.6
% time attacking third 22.3%
Demos / game 1.4
Demos taken / game 1.3
Shooting % 18.8%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S21Challenger16 1.190.441.94 349
S22Challenger24 0.830.331.33 363
S23Challenger48 0.620.541.4 377
S24Rival23 0.520.391.26 358
S25Challenger44 1.30.411.66 401
S26Rival21 0.570.381.1 391

Beyond RSC - lifetime & other play

External skill estimate: ~48 OVR Low confidence — inferred from 36 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 49.
SourceGames RecordWin % Score/g
Lifetime (all)1894721-753 49% 321
RSC (official)114-2 67% 265
Non-RSC ranked 3v33617-17 50% 302
Non-RSC other1847700-734 49% 322

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/game0.57 0.67 0.62 – 0.74
Assists/game0.38 0.44 0.41 – 0.48
Saves/game1.09 1.17 1.09 – 1.24
Shots/game2.67 2.5 2.37 – 2.64

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
noot S21Rival 0.560.441.0 1.06
rex S24Elite 0.670.451.31 1.12
mom jeans XL S26Prospect 0.650.40.85 1.13
BrdTrd999 S22Challenger 0.630.471.13 1.19
Zone Killa S25Challenger 0.60.41.22 1.25
PoupSoup S24Rival 0.70.481.24 1.26
Nytro S14Elite 0.730.461.18 1.29
slurp S14Elite 0.620.381.31 1.30
Wallaby Gangsta S25Rival 0.80.470.94 1.31
CAMSL4YZ82 S14Contender 0.620.51.38 1.31

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.