Taiga

Elite - FA - 9-11 (0.450)
👤 Career - also played as 3W okeanoz, Sakuta, the chosen one
78 OVR
overall rating (0–100) · 20 games · how is this calculated?
Overall rating 78/100 Tier dominance: 41st (-0.3 SD) Projects as: Elite Role: Playmaker
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
10% of games
Shot %
32%

Per-game production (percentile within Elite)

StatPer gameTotalPercentile in tier
Points 352.2 7044
41st
Goals 0.6 12
20th
Assists 0.7 14
71st
Saves 1.4 28
49th
Shots 1.9 38
9th
Demos 1.05 21
57th

League ranking (per game, among 1215 players)

StatPer gameOverall rankRank in Elite
Points352.2 #406 / 1215 #76 / 179
Goals0.6 #692 / 1215 #101 / 179
Assists0.7 #188 / 1215 #34 / 179
Saves1.4 #355 / 1215 #65 / 179
Demos1.05 #371 / 1215 #55 / 179

Season projection

Medium confidence

56% of the season is played (20 → ~36 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 (128 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 7044 12679 12690 12690 12569 – 12811
Goals 12 22 22 23 17 – 28
Assists 14 25 25 25 19 – 30
Saves 28 50 50 53 43 – 58
Shots 38 68 71 74 62 – 81
Demos 21 38 38 39 31 – 44
MVPs 2 4 4 4 2 – 6

Advanced stats (ballchasing)

From 8 ballchasing replays (matches + scrims). Not enough replays for an Advanced OVR yet.

Boost / min 444.8
Avg boost 50.8
Boost stolen / game 622.8
% time at 0 boost 14.2%
Avg speed (uu/s) 1605.1
% supersonic 19.2%
% time high in air 7.2%
Avg distance to ball 2932.1
% time attacking third 21.4%
Demos / game 0.6
Demos taken / game 1.4
Shooting % 5.6%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S22Rival4 0.250.251.25 545
S23Veteran64 1.050.581.59 481
S24Elite64 0.770.612.02 423
S26Elite20 0.60.71.4 449

Beyond RSC - lifetime & other play

External skill estimate: ~65 OVR High confidence — inferred from 219 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 78.
SourceGames RecordWin % Score/g
Lifetime (all)46281840-1873 50% 385
RSC (official)13961-52 54% 405
Non-RSC ranked 3v321972-86 46% 330
Non-RSC other42701707-1735 50% 387

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/game0.6 0.61 0.54 – 0.7
Assists/game0.7 0.64 0.59 – 0.68
Saves/game1.4 1.38 1.31 – 1.47
Shots/game1.9 2.12 2.07 – 2.28

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
Jnx-me S26Veteran 0.580.621.42 0.78
Sean S22Premier 0.580.641.31 0.96
FrenchyNF S25Premier 0.680.591.38 1.01
Nahzey S23Elite 0.50.671.39 1.04
Miso S19Veteran 0.590.651.47 1.07
GreenLemon S23Rival 0.710.631.37 1.18
RiisenJT S25Rival 0.640.571.5 1.20
FrenchyNF S26Premier 0.750.881.31 1.20
jhonko S24Veteran 0.690.761.38 1.22
Inflict S25Elite 0.620.761.53 1.22

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.