AlphaChuck

Elite - Teddy Bears - 19-13 (0.594)
83 OVR
overall rating (0–100) · 32 games · how is this calculated?
Overall rating 83/100 Tier dominance: 77th (+0.6 SD) Projects as: Elite 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
7
22% of games
Shot %
34%

Per-game production (percentile within Elite)

StatPer gameTotalPercentile in tier
Points 375.38 12012
67th
Goals 0.97 31
84th
Assists 0.59 19
53rd
Saves 1.22 39
28th
Shots 2.84 91
69th
Demos 0.78 25
28th

League ranking (per game, among 1215 players)

StatPer gameOverall rankRank in Elite
Points375.38 #241 / 1215 #43 / 179
Goals0.97 #184 / 1215 #21 / 179
Assists0.59 #366 / 1215 #60 / 179
Saves1.22 #562 / 1215 #92 / 179
Demos0.78 #609 / 1215 #93 / 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 (88 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 12012 21396 21292 21292 21135 – 21450
Goals 31 55 54 55 46 – 62
Assists 19 34 34 35 28 – 40
Saves 39 69 70 73 61 – 79
Shots 91 162 161 163 147 – 174
Demos 25 45 46 44 38 – 53
MVPs 7 12 12 12 8 – 16

Advanced stats (ballchasing)

Advanced OVR 60 /100

From 28 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 399.9
Avg boost 55.6
Boost stolen / game 578.0
% time at 0 boost 6.6%
Avg speed (uu/s) 1534.8
% supersonic 13.6%
% time high in air 4.7%
Avg distance to ball 3230.3
% time attacking third 19.6%
Demos / game 0.8
Demos taken / game 1.1
Shooting % 30.3%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S20Elite12 0.670.51.25 391
S21Elite16 1.251.061.81 401
S22Elite6 0.50.50.67 432
S23Elite60 0.90.681.78 400
S26Elite28 0.930.641.25 400

Beyond RSC - lifetime & other play

External skill estimate: ~72 OVR High confidence — inferred from 2224 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 83.
SourceGames RecordWin % Score/g
Lifetime (all)71062792-2786 50% 376
RSC (official)3315-11 58% 373
Non-RSC ranked 3v32224851-840 50% 341
Non-RSC other48491926-1935 50% 392

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/game0.93 0.91 0.85 – 0.97
Assists/game0.64 0.67 0.6 – 0.72
Saves/game1.25 1.29 1.21 – 1.36
Shots/game2.75 2.73 2.62 – 2.84

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
XT10 OAKY S21Rival 1.00.731.36 0.73
Ninji <3 S23Challenger 0.930.661.38 0.75
g00f. S26Prospect 0.90.621.41 0.76
Nehtaro S18Master 0.750.671.25 0.83
Oddtrip S24Elite 0.80.691.05 0.89
Joe S21Elite 0.880.711.33 0.91
PayloSoul S25Master 0.970.771.34 0.92
Taiyo S24Elite 0.870.531.22 0.96
SirTommyNoble S22Veteran 0.820.681.33 0.97
IMOLDGREG67 S24Master 0.970.681.21 0.97

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.