Yami ^^

Elite - Peerless Scarred - 19-14 (0.576)
82 OVR
overall rating (0–100) · 33 games · how is this calculated?
Overall rating 82/100 Tier dominance: 67th (+0.4 SD) Projects as: Elite 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
5
15% of games
Shot %
29%

Per-game production (percentile within Elite)

StatPer gameTotalPercentile in tier
Points 373.21 12316
61st
Goals 0.85 28
64th
Assists 0.36 12
12th
Saves 1.64 54
73rd
Shots 2.91 96
74th
Demos 2.58 85
98th

League ranking (per game, among 1215 players)

StatPer gameOverall rankRank in Elite
Points373.21 #258 / 1215 #50 / 179
Goals0.85 #322 / 1215 #47 / 179
Assists0.36 #785 / 1215 #114 / 179
Saves1.64 #148 / 1215 #35 / 179
Demos2.58 #12 / 1215 #2 / 179

Season projection

Medium confidence

56% of the season is played (33 → ~59 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 (200 games across 4 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 12316 22020 21925 21925 21764 – 22086
Goals 28 50 50 50 42 – 57
Assists 12 21 23 23 17 – 28
Saves 54 97 95 96 85 – 106
Shots 96 172 170 170 156 – 184
Demos 85 152 144 145 132 – 157
MVPs 5 9 9 9 6 – 12

Advanced stats (ballchasing)

Advanced OVR 95 /100

From 29 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 424.6
Avg boost 51.2
Boost stolen / game 583.8
% time at 0 boost 8.9%
Avg speed (uu/s) 1557.4
% supersonic 17.1%
% time high in air 4.2%
Avg distance to ball 3056.6
% time attacking third 19.1%
Demos / game 2.8
Demos taken / game 0.9
Shooting % 33.4%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S22Veteran63 0.840.521.29 414
S23Veteran64 1.190.731.44 433
S24Elite64 0.660.621.78 407
S25Elite9 0.330.222.11 416
S26Elite29 0.90.341.79 425

Beyond RSC - lifetime & other play

External skill estimate: ~76 OVR High confidence — inferred from 897 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 82.
SourceGames RecordWin % Score/g
Lifetime (all)53462208-2002 52% 407
RSC (official)258-10 44% 414
Non-RSC ranked 3v3897316-332 49% 347
Non-RSC other44241884-1660 53% 419

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

Medium 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/game0.9 0.75 0.6 – 0.82
Assists/game0.34 0.5 0.4 – 0.53
Saves/game1.79 1.62 1.38 – 1.8
Shots/game2.9 2.62 2.38 – 2.83

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
Blaiyzur S26Veteran 0.730.462.0 1.88
ZombZombs S26Elite 0.820.361.64 2.00
GreenSleeves S20Premier 1.120.441.88 2.01
J.Boosted S25Master 0.710.361.93 2.03
Naro S17Elite 0.880.381.38 2.04
Volkner S24Elite 0.860.51.89 2.06
Hirsch S25Master 0.590.461.5 2.14
oiNio S20Rival 0.820.531.76 2.21
rafiki S26Master 0.80.331.47 2.32
TheLegendaryChance S24Master 0.740.431.74 2.35

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.