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Master - Olympic Knights - 5-10 (0.333)
87 OVR
overall rating (0–100) · 15 games · how is this calculated?
Overall rating 87/100 Tier dominance: 9th (-1.2 SD) Projects as: Master Role: Role player
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
0
0% of games
Shot %
25%

Per-game production (percentile within Master)

StatPer gameTotalPercentile in tier
Points 290.67 4360
12th
Goals 0.6 9
28th
Assists 0.4 6
26th
Saves 1.0 15
14th
Shots 2.4 36
37th
Demos 1.4 21
64th

League ranking (per game, among 1215 players)

StatPer gameOverall rankRank in Master
Points290.67 #800 / 1215 #69 / 107
Goals0.6 #692 / 1215 #54 / 107
Assists0.4 #725 / 1215 #58 / 107
Saves1.0 #738 / 1215 #64 / 107
Demos1.4 #168 / 1215 #28 / 107

Season projection

Low confidence

60% of the season is played (15 → ~25 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 (207 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 4360 7267 7470 7470 7385 – 7556
Goals 9 15 15 16 12 – 19
Assists 6 10 10 11 7 – 14
Saves 15 25 26 26 21 – 31
Shots 36 60 60 62 53 – 68
Demos 21 35 34 35 29 – 40
MVPs 0 0 1 1 0 – 2

Advanced stats (ballchasing)

Advanced OVR 16 /100

From 14 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 410.7
Avg boost 47.7
Boost stolen / game 489.6
% time at 0 boost 12.4%
Avg speed (uu/s) 1559.4
% supersonic 14.8%
% time high in air 4.7%
Avg distance to ball 3116.1
% time attacking third 18.7%
Demos / game 1.4
Demos taken / game 1.6
Shooting % 22.8%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S20Elite24 0.880.621.29 397
S21Elite16 1.120.561.0 391
S22Elite16 0.940.381.69 403
S23Elite37 0.920.571.24 420
S24Elite60 1.050.651.15 407
S25Master54 0.570.541.2 415
S26Master14 0.640.431.07 411

Beyond RSC - lifetime & other play

External skill estimate: ~62 OVR High confidence — inferred from 1463 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)65732559-2633 49% 342
RSC (official)306-20 23% 310
Non-RSC ranked 3v31463524-604 46% 325
Non-RSC other50802029-2009 50% 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/game0.64 0.68 0.63 – 0.75
Assists/game0.43 0.48 0.4 – 0.52
Saves/game1.07 1.14 1.07 – 1.19
Shots/game2.43 2.45 2.21 – 2.56

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
Turtle_Supreme S25Rival 0.630.441.14 1.02
Turtle_Supreme S23Rival 0.710.41.19 1.02
5pike S13Rival 0.690.51.06 1.05
ChromaToad S25Rival 0.590.481.04 1.11
SqueezySponge_ S23Challenger 0.60.41.17 1.13
EllectroZx S13Master 0.750.381.12 1.13
CarnageWolfBite S19Rival 0.670.51.17 1.13
HannandGrenade S17Veteran 0.670.331.22 1.20
Beretta S25Elite 0.770.581.1 1.22
BankShark S22Rival 0.790.51.17 1.22

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.