Tinsel

Premier - Peppermint - 7-13 (0.350)
98 OVR
overall rating (0–100) · 20 games · how is this calculated?
Overall rating 98/100 Tier dominance: 60th (+0.0 SD) Projects as: Premier Role: Anchor / 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
5
25% of games
Shot %
30%

Per-game production (percentile within Premier)

StatPer gameTotalPercentile in tier
Points 391.9 7838
69th
Goals 0.9 18
73rd
Assists 0.45 9
25th
Saves 1.65 33
75th
Shots 3.05 61
73rd
Demos 0.8 16
17th

League ranking (per game, among 1213 players)

StatPer gameOverall rankRank in Premier
Points391.9 #157 / 1213 #16 / 73
Goals0.9 #264 / 1213 #14 / 73
Assists0.45 #630 / 1213 #39 / 73
Saves1.65 #147 / 1213 #13 / 73
Demos0.8 #585 / 1213 #42 / 73

Season projection

Medium confidence

64% of the season is played (20 → ~31 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 (145 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 7838 12149 12057 12057 11959 – 12156
Goals 18 28 28 27 23 – 32
Assists 9 14 14 15 11 – 18
Saves 33 51 50 50 44 – 57
Shots 61 95 94 93 85 – 102
Demos 16 25 26 25 21 – 31
MVPs 5 8 7 7 5 – 10

Advanced stats (ballchasing)

Advanced OVR 62 /100

From 20 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 367.1
Avg boost 50.1
Boost stolen / game 487.2
% time at 0 boost 9.3%
Avg speed (uu/s) 1572.8
% supersonic 13.8%
% time high in air 5.2%
Avg distance to ball 3090.4
% time attacking third 22.4%
Demos / game 0.8
Demos taken / game 1.2
Shooting % 31.0%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S20Elite12 0.830.52.08 353
S21Elite11 0.460.091.0 326
S22Veteran31 0.610.681.32 339
S23Veteran43 0.930.561.4 334
S24Elite5 1.00.82.0 374
S25Veteran48 0.830.691.29 340
S26Veteran20 0.90.451.65 367

Beyond RSC - lifetime & other play

External skill estimate: ~59 OVR High confidence — inferred from 647 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)60542408-2504 49% 368
RSC (official)3816-16 50% 386
Non-RSC ranked 3v3647217-276 44% 320
Non-RSC other53692175-2212 50% 373

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/game0.9 0.88 0.84 – 0.95
Assists/game0.45 0.5 0.4 – 0.52
Saves/game1.65 1.5 1.41 – 1.59
Shots/game3.05 2.91 2.75 – 3.08

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
Sw.ish S23Master 0.960.521.56 0.92
zack S21Elite 0.880.381.62 1.02
Ocular8 S25Veteran 0.920.421.5 1.04
PayloSoul S20Master 0.920.51.42 1.11
JazzMagic. S22Rival 1.00.311.69 1.13
Dr.Ukulele S20Rival 1.060.441.5 1.15
zoarnyrl S23Elite 0.950.41.6 1.15
magician snack time S23Elite 1.00.481.61 1.15
machu S13Veteran 0.850.51.4 1.16
stimeey99 S19Elite 0.880.381.5 1.19

Descriptive comparables - cross-season stat scales can shift, and players who changed names between seasons won't link.

Note: this name has 2 entries (e.g. a substitute in another tier); showing the most-played one.


Data source: live (rscna.com) - standings & schedule refresh hourly.