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Master - Imperatores - 18-13 (0.581)
91 OVR
overall rating (0–100) · 31 games · how is this calculated?
Overall rating 91/100 Tier dominance: 62nd (+0.2 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
23% of games
Shot %
33%

Per-game production (percentile within Master)

StatPer gameTotalPercentile in tier
Points 378.55 11735
68th
Goals 0.81 25
63rd
Assists 0.35 11
21st
Saves 2.06 64
95th
Shots 2.42 75
40th
Demos 1.03 32
44th

League ranking (per game, among 1213 players)

StatPer gameOverall rankRank in Master
Points378.55 #227 / 1213 #25 / 107
Goals0.81 #377 / 1213 #29 / 107
Assists0.35 #783 / 1213 #62 / 107
Saves2.06 #21 / 1213 #4 / 107
Demos1.03 #376 / 1213 #44 / 107

Season projection

High confidence

60% of the season is played (31 → ~52 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 (47 games across 2 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 11735 19685 19567 19567 19426 – 19708
Goals 25 42 42 41 35 – 48
Assists 11 18 19 19 15 – 24
Saves 64 107 104 104 94 – 114
Shots 75 126 126 128 115 – 138
Demos 32 54 54 54 47 – 62
MVPs 7 12 11 11 8 – 15

Advanced stats (ballchasing)

Advanced OVR 75 /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 411.2
Avg boost 47.8
Boost stolen / game 628.5
% time at 0 boost 15.3%
Avg speed (uu/s) 1522.2
% supersonic 14.0%
% time high in air 6.5%
Avg distance to ball 2881.1
% time attacking third 22.9%
Demos / game 1.0
Demos taken / game 1.2
Shooting % 31.5%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S24Master13 0.620.620.85 412
S25Master34 0.740.351.76 419
S26Master31 0.810.362.06 411

Beyond RSC - lifetime & other play

External skill estimate: ~66 OVR High confidence — inferred from 3276 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 91.
SourceGames RecordWin % Score/g
Lifetime (all)61042373-2230 52% 392
RSC (official)32-0 100% 326
Non-RSC ranked 3v332761259-1107 53% 331
Non-RSC other28251112-1123 50% 463

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/game0.81 0.78 0.75 – 0.83
Assists/game0.35 0.43 0.35 – 0.5
Saves/game2.06 1.77 1.67 – 2.0
Shots/game2.42 2.5 2.33 – 2.65

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
sturmo S14Veteran 0.730.331.87 0.77
Blue Eyes Thunder Thighs S17Veteran 0.880.51.88 1.10
LikeWisse S23Premier 0.770.41.6 1.50
AriseDaft S21Rival 0.810.442.38 1.50
DribblingPenguin S17Rival 0.750.381.75 1.52
Rule S22Premier 0.780.431.68 1.52
Tman S18Premier 0.50.52.12 1.56
Dvo-.- S18Elite 0.670.252.0 1.57
Duck S24Premier 0.850.352.0 1.59
Viper15 S17Veteran 0.750.331.67 1.62

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.