SSpekky

Master - Glacier Mint - 17-18 (0.486)
87 OVR
overall rating (0–100) · 35 games · how is this calculated?
Overall rating 87/100 Tier dominance: 15th (-1.0 SD) Projects as: Master 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
7
20% of games
Shot %
20%

Per-game production (percentile within Master)

StatPer gameTotalPercentile in tier
Points 359.14 12570
51st
Goals 0.51 18
18th
Assists 0.54 19
51st
Saves 1.63 57
77th
Shots 2.51 88
41st
Demos 0.77 27
21st

League ranking (per game, among 1215 players)

StatPer gameOverall rankRank in Master
Points359.14 #349 / 1215 #38 / 107
Goals0.51 #790 / 1215 #64 / 107
Assists0.54 #457 / 1215 #38 / 107
Saves1.63 #153 / 1215 #18 / 107
Demos0.77 #617 / 1215 #62 / 107

Season projection

High confidence

60% of the season is played (35 → ~58 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 (202 games across 6 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 12570 20830 20788 20788 20644 – 20932
Goals 18 30 31 32 25 – 36
Assists 19 31 31 31 26 – 37
Saves 57 94 93 94 84 – 103
Shots 88 146 146 149 134 – 158
Demos 27 45 47 44 40 – 54
MVPs 7 12 11 11 8 – 15

Advanced stats (ballchasing)

Advanced OVR 30 /100

From 31 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 369.2
Avg boost 49.0
Boost stolen / game 436.7
% time at 0 boost 12.7%
Avg speed (uu/s) 1522.8
% supersonic 11.3%
% time high in air 6.4%
Avg distance to ball 3109.7
% time attacking third 19.0%
Demos / game 0.8
Demos taken / game 1.0
Shooting % 21.7%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S20Elite8 1.250.51.5 369
S21Elite15 0.730.61.33 369
S22Elite13 1.00.461.77 366
S23Elite64 0.920.521.59 345
S24Master48 0.90.51.29 371
S25Master54 0.940.391.54 350
S26Master31 0.520.521.71 369

Beyond RSC - lifetime & other play

External skill estimate: ~84 OVR High confidence — inferred from 1827 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 87.
SourceGames RecordWin % Score/g
Lifetime (all)87703660-3349 52% 416
RSC (official)15362-57 52% 393
Non-RSC ranked 3v31827687-720 49% 360
Non-RSC other67902911-2572 53% 432

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/game0.52 0.56 0.48 – 0.64
Assists/game0.52 0.52 0.48 – 0.55
Saves/game1.71 1.67 1.58 – 1.75
Shots/game2.39 2.44 2.31 – 2.54

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
Mochi S24Elite 0.480.551.62 0.76
Squatch70 S22Challenger 0.560.481.63 0.79
Buck S20Master 0.50.581.75 0.89
Nebulade S22Elite 0.560.51.75 0.90
SWZYY GN S24Challenger 0.550.571.45 0.90
Blun S26Challenger 0.640.641.61 0.94
Crazics S24Elite 0.680.571.59 0.94
Rmuru- S19Challenger 0.650.471.53 0.94
Beans S23Elite 0.480.521.52 0.96
Tiz Samu S25Elite 0.650.491.7 0.99

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.