Nika

Premier - Cerberus - 11-21 (0.344)
👤 Career - also played as Andy, Yujin, .Andy
95 OVR
overall rating (0–100) · 32 games · how is this calculated?
Overall rating 95/100 Tier dominance: 14th (-1.0 SD) Projects as: Premier 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
3
9% of games
Shot %
24%

Per-game production (percentile within Premier)

StatPer gameTotalPercentile in tier
Points 396.47 12687
71st
Goals 0.59 19
31st
Assists 0.5 16
31st
Saves 2.03 65
92nd
Shots 2.5 80
42nd
Demos 0.78 25
15th

League ranking (per game, among 1213 players)

StatPer gameOverall rankRank in Premier
Points396.47 #138 / 1213 #15 / 73
Goals0.59 #696 / 1213 #36 / 73
Assists0.5 #509 / 1213 #32 / 73
Saves2.03 #27 / 1213 #4 / 73
Demos0.78 #605 / 1213 #44 / 73

Season projection

High confidence

64% of the season is played (32 → ~50 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 (204 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 12687 19823 19702 19702 19573 – 19831
Goals 19 30 30 31 25 – 36
Assists 16 25 25 25 21 – 30
Saves 65 102 99 98 90 – 108
Shots 80 125 126 127 115 – 136
Demos 25 39 41 41 35 – 47
MVPs 3 5 5 5 3 – 7

Advanced stats (ballchasing)

Advanced OVR 66 /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 437.2
Avg boost 50.3
Boost stolen / game 543.1
% time at 0 boost 11.1%
Avg speed (uu/s) 1571.5
% supersonic 19.2%
% time high in air 6.3%
Avg distance to ball 2687.5
% time attacking third 20.6%
Demos / game 0.8
Demos taken / game 1.3
Shooting % 23.5%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S20Premier16 0.880.691.31 395
S22Premier52 0.880.361.52 405
S23Premier36 1.190.581.08 406
S24Premier48 0.940.581.27 420
S25Premier52 0.710.671.42 418
S26Premier32 0.590.52.03 437

Beyond RSC - lifetime & other play

External skill estimate: ~71 OVR Medium confidence — inferred from 63 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 95.
SourceGames RecordWin % Score/g
Lifetime (all)2022811-821 50% 415
RSC (official)248-9 47% 346
Non-RSC ranked 3v36324-22 52% 340
Non-RSC other1935779-790 50% 418

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/game0.59 0.71 0.62 – 0.77
Assists/game0.5 0.56 0.5 – 0.61
Saves/game2.03 1.85 1.74 – 2.0
Shots/game2.5 2.54 2.4 – 2.62

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
takeeover S26Premier 0.620.382.25 1.14
PackRL S25Elite 0.540.51.68 1.18
Verza S20Veteran 0.750.52.08 1.20
Fused Gavin S26Master 0.450.452.15 1.21
bradyK- S26Elite 0.690.581.85 1.24
Jake S26Veteran 0.610.611.83 1.30
CrowBar7570 S25Rival 0.680.572.0 1.32
Fused Gavin S25Elite 0.770.641.81 1.33
Brody S19Premier 0.750.581.83 1.37
Cloudburst S26Elite 0.720.471.88 1.40

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.