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Master - Diplomats - 12-20 (0.375)
91 OVR
overall rating (0–100) · 32 games · how is this calculated?
Overall rating 91/100 Tier dominance: 64th (+0.3 SD) Projects as: Master Role: Playmaker
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
9% of games
Shot %
30%

Per-game production (percentile within Master)

StatPer gameTotalPercentile in tier
Points 315.47 10095
18th
Goals 0.66 21
38th
Assists 0.66 21
71st
Saves 1.12 36
28th
Shots 2.19 70
22nd
Demos 1.56 50
74th

League ranking (per game, among 1213 players)

StatPer gameOverall rankRank in Master
Points315.47 #666 / 1213 #64 / 107
Goals0.66 #614 / 1213 #48 / 107
Assists0.66 #256 / 1213 #23 / 107
Saves1.12 #622 / 1213 #56 / 107
Demos1.56 #128 / 1213 #20 / 107

Season projection

High confidence

60% of the season is played (32 → ~53 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 (231 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 10095 16720 16870 16870 16740 – 17000
Goals 21 35 35 35 29 – 41
Assists 21 35 34 35 28 – 40
Saves 36 60 61 62 53 – 69
Shots 70 116 117 119 107 – 128
Demos 50 83 81 80 72 – 90
MVPs 3 5 5 5 3 – 8

Advanced stats (ballchasing)

Advanced OVR 72 /100

From 32 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 461.0
Avg boost 47.9
Boost stolen / game 817.2
% time at 0 boost 11.8%
Avg speed (uu/s) 1608.2
% supersonic 16.7%
% time high in air 4.9%
Avg distance to ball 2901.1
% time attacking third 24.0%
Demos / game 1.6
Demos taken / game 1.5
Shooting % 28.6%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S20Elite30 0.630.731.5 410
S21Elite20 0.650.551.2 405
S22Elite20 0.850.61.45 406
S23Elite59 0.610.711.42 425
S24Elite64 1.00.781.59 414
S25Master38 0.680.661.47 422
S26Master32 0.660.661.12 461

Beyond RSC - lifetime & other play

External skill estimate: ~73 OVR High confidence — inferred from 1206 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)69512858-2823 50% 393
RSC (official)2815-9 62% 361
Non-RSC ranked 3v31206445-509 47% 343
Non-RSC other57172398-2305 51% 403

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/game0.66 0.69 0.62 – 0.76
Assists/game0.66 0.66 0.56 – 0.74
Saves/game1.12 1.08 1.0 – 1.22
Shots/game2.19 2.42 2.26 – 2.6

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
Tylanz S22Veteran 0.740.681.05 1.05
xDracO0 S25Rival 0.490.661.08 1.17
BIGbadBULLMAN13 S25Veteran 0.790.751.19 1.26
N0TTopmarx S22Challenger 0.650.521.04 1.27
Nehtaro S20Master 0.640.710.86 1.28
dray S18Veteran 0.750.751.12 1.29
TrytonsShadow95 S25Contender 0.690.550.96 1.30
Stati_c S22Premier 0.690.561.0 1.32
torro S26Elite 0.730.731.37 1.33
kev S22Premier 0.730.561.22 1.33

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.