GreenSleeves

Premier - Super Clusters - 15-13 (0.536)
98 OVR
overall rating (0–100) · 28 games · how is this calculated?
Overall rating 98/100 Tier dominance: 72nd (+0.3 SD) Projects as: Premier 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
11% of games
Shot %
32%

Per-game production (percentile within Premier)

StatPer gameTotalPercentile in tier
Points 334.07 9354
35th
Goals 0.89 25
71st
Assists 0.46 13
27th
Saves 1.32 37
38th
Shots 2.75 77
58th
Demos 1.18 33
56th

League ranking (per game, among 1213 players)

StatPer gameOverall rankRank in Premier
Points334.07 #549 / 1213 #34 / 73
Goals0.89 #277 / 1213 #15 / 73
Assists0.46 #609 / 1213 #37 / 73
Saves1.32 #448 / 1213 #32 / 73
Demos1.18 #279 / 1213 #23 / 73

Season projection

High confidence

64% of the season is played (28 → ~44 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 (52 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 9354 14699 14801 14801 14688 – 14915
Goals 25 39 39 39 33 – 45
Assists 13 20 21 20 16 – 25
Saves 37 58 59 60 51 – 66
Shots 77 121 121 121 111 – 131
Demos 33 52 52 53 45 – 59
MVPs 3 5 5 5 3 – 7

Advanced stats (ballchasing)

Advanced OVR 77 /100

From 28 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 421.8
Avg boost 43.9
Boost stolen / game 731.5
% time at 0 boost 14.7%
Avg speed (uu/s) 1556.2
% supersonic 16.0%
% time high in air 4.9%
Avg distance to ball 2912.3
% time attacking third 23.8%
Demos / game 1.2
Demos taken / game 1.1
Shooting % 32.9%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S20Premier16 1.120.441.88 406
S21Premier12 0.830.581.67 413
S24Premier14 0.430.431.64 412
S25Premier10 0.50.31.2 388
S26Premier28 0.890.461.32 422

Beyond RSC - lifetime & other play

External skill estimate: ~55 OVR Low confidence — inferred from 36 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 98.
SourceGames RecordWin % Score/g
Lifetime (all)617283-202 58% 383
RSC (official)124-4 50% 315
Non-RSC ranked 3v33615-12 56% 313
Non-RSC other569264-186 59% 388

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/game0.89 0.83 0.75 – 0.89
Assists/game0.46 0.5 0.46 – 0.55
Saves/game1.32 1.29 1.19 – 1.38
Shots/game2.75 2.75 2.62 – 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
Yoza S19Elite 0.920.421.25 0.61
Dx Geo xD S22Veteran 0.970.551.34 0.72
Jake S24Veteran 0.840.511.44 0.88
StephM2_ S26Contender 0.940.551.1 0.91
4SkillNotFound S25Rival 0.850.461.46 0.94
ZachOff S22Elite 1.080.461.25 0.95
Wafe S22Veteran 0.810.531.42 0.96
Frostii S24Challenger 0.960.461.27 0.99
Dub_Dill S25Elite 0.730.431.34 1.00
cjAstr0- S22Rival 0.780.561.33 1.00

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.