Jarrtsu

Elite - Krakens - 18-18 (0.500)
79 OVR
overall rating (0–100) · 36 games · how is this calculated?
Overall rating 79/100 Tier dominance: 45th (-0.2 SD) Projects as: Elite 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
7
19% of games
Shot %
28%

Per-game production (percentile within Elite)

StatPer gameTotalPercentile in tier
Points 359.17 12930
48th
Goals 0.81 29
55th
Assists 0.33 12
6th
Saves 1.39 50
47th
Shots 2.83 102
68th
Demos 0.86 31
36th

League ranking (per game, among 1215 players)

StatPer gameOverall rankRank in Elite
Points359.17 #348 / 1215 #67 / 179
Goals0.81 #387 / 1215 #58 / 179
Assists0.33 #813 / 1215 #117 / 179
Saves1.39 #370 / 1215 #67 / 179
Demos0.86 #542 / 1215 #83 / 179

Season projection

Medium confidence

56% of the season is played (36 → ~64 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 (122 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 12930 22987 22963 22963 22799 – 23127
Goals 29 52 51 51 44 – 59
Assists 12 21 23 24 17 – 28
Saves 50 89 89 88 79 – 99
Shots 102 181 180 179 166 – 194
Demos 31 55 56 55 48 – 64
MVPs 7 12 12 12 8 – 16

Advanced stats (ballchasing)

Advanced OVR 42 /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 377.3
Avg boost 50.0
Boost stolen / game 565.6
% time at 0 boost 9.5%
Avg speed (uu/s) 1441.4
% supersonic 8.8%
% time high in air 5.3%
Avg distance to ball 2698.3
% time attacking third 22.2%
Demos / game 0.9
Demos taken / game 1.0
Shooting % 24.8%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S24Elite58 0.740.521.47 383
S25Elite64 0.720.981.05 373
S26Elite32 0.720.281.41 377

Beyond RSC - lifetime & other play

External skill estimate: ~59 OVR High confidence — inferred from 1475 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 79.
SourceGames RecordWin % Score/g
Lifetime (all)31401200-1201 50% 377
RSC (official)4418-17 51% 342
Non-RSC ranked 3v31475543-561 49% 321
Non-RSC other1621639-623 51% 429

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/game0.72 0.78 0.71 – 0.83
Assists/game0.28 0.33 0.3 – 0.38
Saves/game1.41 1.38 1.29 – 1.5
Shots/game2.78 2.63 2.54 – 2.81

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
WeStaNdAloNe0 S23Challenger 0.880.351.29 0.87
ThruStyler S24Elite 0.780.291.38 0.93
Napkhan S22Challenger 0.830.331.33 0.94
RaunchyRomanian S19Master 0.750.331.25 0.97
SKY S14Elite 0.810.251.56 1.01
2k S26Rival 0.780.341.34 1.05
DrizzyJ S26Challenger 0.610.421.52 1.09
gcol S20Veteran 1.00.331.42 1.13
SUP3RM00NS S25Rival 0.780.351.38 1.14
tr1ppn S22Challenger 0.830.31.22 1.15

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.