TheAngryTryhard

Elite - Raptors - 12-20 (0.375)
72 OVR
overall rating (0–100) · 32 games · how is this calculated?
Overall rating 72/100 Tier dominance: 2nd (-1.8 SD) Projects as: Veteran ↓ Below tier level 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
3
9% of games
Shot %
25%

Per-game production (percentile within Elite)

StatPer gameTotalPercentile in tier
Points 310.72 9943
15th
Goals 0.53 17
17th
Assists 0.19 6
0th
Saves 1.38 44
45th
Shots 2.09 67
15th
Demos 0.91 29
39th

League ranking (per game, among 1215 players)

StatPer gameOverall rankRank in Elite
Points310.72 #697 / 1215 #110 / 179
Goals0.53 #778 / 1215 #106 / 179
Assists0.19 #915 / 1215 #129 / 179
Saves1.38 #385 / 1215 #70 / 179
Demos0.91 #513 / 1215 #78 / 179

Season projection

Medium confidence

56% of the season is played (32 → ~57 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 (78 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 9943 17711 17930 17930 17784 – 18076
Goals 17 30 31 32 25 – 38
Assists 6 11 13 14 8 – 17
Saves 44 78 78 79 69 – 88
Shots 67 119 122 124 110 – 134
Demos 29 52 52 53 45 – 60
MVPs 3 5 6 6 3 – 8

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 399.3
Avg boost 47.6
Boost stolen / game 516.1
% time at 0 boost 12.9%
Avg speed (uu/s) 1531.7
% supersonic 13.9%
% time high in air 4.3%
Avg distance to ball 2975.2
% time attacking third 18.3%
Demos / game 0.9
Demos taken / game 1.0
Shooting % 24.4%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S21Elite13 0.850.622.38 381
S22Elite10 1.20.30.9 365
S23Elite55 0.730.781.25 397
S26Elite31 0.550.191.39 399

Beyond RSC - lifetime & other play

External skill estimate: ~56 OVR High confidence — inferred from 1503 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 72.
SourceGames RecordWin % Score/g
Lifetime (all)62312337-2564 48% 354
RSC (official)5019-20 49% 304
Non-RSC ranked 3v31503495-651 43% 315
Non-RSC other46781823-1893 49% 367

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/game0.55 0.59 0.52 – 0.67
Assists/game0.19 0.3 0.25 – 0.34
Saves/game1.39 1.39 1.24 – 1.46
Shots/game2.13 2.2 2.05 – 2.33

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
Lu S14Premier 0.670.171.42 0.91
levibullrush S13Challenger 0.670.251.58 0.96
wolverine36535 S23Challenger 0.630.161.21 0.97
Faolaen S22Veteran 0.520.341.43 1.01
Falcon D3w S22Veteran 0.60.31.4 1.02
Beans S25Elite 0.580.311.6 1.08
anth0tex S25Veteran 0.590.391.37 1.10
R1PP_LLAMA5 S25Rival 0.550.331.21 1.13
Lup S26Master 0.680.321.46 1.14
BanThlsOne2 S23Veteran 0.50.381.38 1.15

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.