Yaki

Elite - Black Widows - 12-19 (0.387)
75 OVR
overall rating (0–100) · 31 games · how is this calculated?
Overall rating 75/100 Tier dominance: 19th (-0.9 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
3
10% of games
Shot %
32%

Per-game production (percentile within Elite)

StatPer gameTotalPercentile in tier
Points 334.13 10358
30th
Goals 0.81 25
56th
Assists 0.32 10
5th
Saves 1.32 41
41st
Shots 2.52 78
47th
Demos 0.48 15
9th

League ranking (per game, among 1215 players)

StatPer gameOverall rankRank in Elite
Points334.13 #545 / 1215 #90 / 179
Goals0.81 #385 / 1215 #57 / 179
Assists0.32 #840 / 1215 #122 / 179
Saves1.32 #452 / 1215 #76 / 179
Demos0.48 #836 / 1215 #118 / 179

Season projection

Medium confidence

56% of the season is played (31 → ~55 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 (119 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 10358 18377 18478 18478 18331 – 18625
Goals 25 44 44 44 37 – 51
Assists 10 18 19 19 14 – 24
Saves 41 73 73 72 64 – 82
Shots 78 138 139 138 126 – 151
Demos 15 27 29 29 23 – 36
MVPs 3 5 6 6 3 – 8

Advanced stats (ballchasing)

Advanced OVR 10 /100

From 27 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 369.7
Avg boost 51.0
Boost stolen / game 470.6
% time at 0 boost 9.4%
Avg speed (uu/s) 1480.0
% supersonic 13.2%
% time high in air 5.4%
Avg distance to ball 3004.8
% time attacking third 21.0%
Demos / game 0.5
Demos taken / game 1.5
Shooting % 23.5%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S24Elite60 0.90.531.12 373
S25Elite59 0.710.441.44 349
S26Elite27 0.70.331.26 370

Beyond RSC - lifetime & other play

External skill estimate: ~32 OVR High confidence — inferred from 539 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 75.
SourceGames RecordWin % Score/g
Lifetime (all)32671228-1369 47% 335
RSC (official)229-7 56% 262
Non-RSC ranked 3v3539199-217 48% 277
Non-RSC other27061020-1145 47% 347

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/game0.7 0.75 0.64 – 0.78
Assists/game0.33 0.35 0.3 – 0.39
Saves/game1.26 1.24 1.12 – 1.35
Shots/game2.48 2.42 2.28 – 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
Lup S23Master 0.640.431.29 0.73
shadic148 S21Challenger 0.690.311.12 0.85
Onsi_ S26Rival 0.670.331.33 0.92
wall2wall3 S14Master 0.670.331.0 1.00
peeg2peeg3, lol :> S20Elite 0.710.331.04 1.02
Sticks S18Amateur 0.890.361.25 1.05
Slayerof666 S25Rival 0.760.291.24 1.07
Pullis. S21Veteran 0.960.361.14 1.09
daysil_ S25Elite 0.830.331.33 1.10
Python S21Master 0.640.391.42 1.10

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.