Lup

Master - Reapers - 10-16 (0.385)
90 OVR
overall rating (0–100) · 26 games · how is this calculated?
Overall rating 90/100 Tier dominance: 42nd (-0.4 SD) Projects as: Master Role: 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
4
15% of games
Shot %
36%

Per-game production (percentile within Master)

StatPer gameTotalPercentile in tier
Points 344.38 8954
40th
Goals 0.81 21
64th
Assists 0.42 11
27th
Saves 1.38 36
45th
Shots 2.27 59
28th
Demos 0.96 25
38th

League ranking (per game, among 1215 players)

StatPer gameOverall rankRank in Master
Points344.38 #464 / 1215 #47 / 107
Goals0.81 #381 / 1215 #28 / 107
Assists0.42 #702 / 1215 #57 / 107
Saves1.38 #376 / 1215 #43 / 107
Demos0.96 #460 / 1215 #48 / 107

Season projection

High confidence

60% of the season is played (26 → ~43 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 (90 games across 3 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 8954 14809 14828 14828 14708 – 14948
Goals 21 35 34 36 29 – 40
Assists 11 18 19 19 14 – 23
Saves 36 60 59 60 52 – 67
Shots 59 98 99 103 89 – 109
Demos 25 41 42 40 36 – 49
MVPs 4 7 7 7 4 – 9

Advanced stats (ballchasing)

Advanced OVR 30 /100

From 22 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 395.2
Avg boost 50.7
Boost stolen / game 485.3
% time at 0 boost 9.5%
Avg speed (uu/s) 1503.2
% supersonic 13.3%
% time high in air 4.9%
Avg distance to ball 2956.9
% time attacking third 19.7%
Demos / game 1.0
Demos taken / game 1.5
Shooting % 27.4%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S22Elite12 1.250.51.25 378
S23Master14 0.640.431.29 368
S25Elite64 1.060.671.5 363
S26Master22 0.680.321.46 395

Beyond RSC - lifetime & other play

External skill estimate: ~82 OVR High confidence — inferred from 808 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 90.
SourceGames RecordWin % Score/g
Lifetime (all)61712657-2275 54% 406
RSC (official)165-7 42% 348
Non-RSC ranked 3v3808319-294 52% 356
Non-RSC other53472333-1974 54% 413

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/game0.68 0.71 0.65 – 0.75
Assists/game0.32 0.38 0.32 – 0.42
Saves/game1.46 1.46 1.38 – 1.55
Shots/game2.23 2.31 2.19 – 2.48

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
Cognitixn S24Veteran 0.710.341.42 0.64
Its_Lost S23Challenger 0.750.381.38 0.68
levibullrush S13Challenger 0.670.251.58 0.74
Cognitixn S25Veteran 0.610.391.48 0.79
BanThlsOne2 S23Veteran 0.50.381.38 0.88
Mathews175 S19Veteran 0.670.391.33 0.90
Anonymouse S14Elite 0.820.271.46 0.94
cowtooth S23Veteran 0.680.321.4 0.96
Spul4k S24Challenger 0.730.391.34 0.96
TDogPlayz S24Challenger 0.740.321.6 0.98

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.