AcX

Master - Care Bears - 11-21 (0.344)
89 OVR
overall rating (0–100) · 32 games · how is this calculated?
Overall rating 89/100 Tier dominance: 36th (-0.5 SD) Projects as: Master Role: Playmaker / 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
5
16% of games
Shot %
28%

Per-game production (percentile within Master)

StatPer gameTotalPercentile in tier
Points 413.69 13238
90th
Goals 0.66 21
37th
Assists 0.78 25
90th
Saves 1.94 62
90th
Shots 2.38 76
36th
Demos 1.0 32
41st

League ranking (per game, among 1215 players)

StatPer gameOverall rankRank in Master
Points413.69 #83 / 1215 #8 / 107
Goals0.66 #626 / 1215 #48 / 107
Assists0.78 #100 / 1215 #8 / 107
Saves1.94 #44 / 1215 #7 / 107
Demos1.0 #387 / 1215 #45 / 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 (185 games across 4 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 13238 21925 21655 21655 21510 – 21800
Goals 21 35 35 36 29 – 41
Assists 25 41 40 40 34 – 46
Saves 62 103 100 100 90 – 110
Shots 76 126 127 127 115 – 138
Demos 32 53 54 52 46 – 61
MVPs 5 8 8 8 5 – 11

Advanced stats (ballchasing)

Advanced OVR 62 /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 415.0
Avg boost 49.4
Boost stolen / game 478.4
% time at 0 boost 11.0%
Avg speed (uu/s) 1561.8
% supersonic 16.0%
% time high in air 5.3%
Avg distance to ball 2755.5
% time attacking third 16.6%
Demos / game 0.9
Demos taken / game 1.1
Shooting % 21.7%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S21Master30 0.930.51.9 385
S22Master45 0.840.581.56 362
S23Master59 0.760.641.56 367
S24Master51 0.740.671.24 377
S26Master28 0.640.711.93 415

Beyond RSC - lifetime & other play

External skill estimate: ~80 OVR High confidence — inferred from 1056 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 89.
SourceGames RecordWin % Score/g
Lifetime (all)51282067-1806 53% 396
RSC (official)3415-6 71% 356
Non-RSC ranked 3v31056392-365 52% 353
Non-RSC other40381660-1435 54% 407

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/game0.64 0.69 0.61 – 0.76
Assists/game0.71 0.63 0.58 – 0.68
Saves/game1.93 1.77 1.63 – 1.9
Shots/game2.5 2.5 2.39 – 2.67

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
nekodah S18Elite 0.50.571.71 1.08
Timmy_-_ S25Master 0.660.681.6 1.15
luckyy.12 S22Veteran 0.540.611.81 1.17
ayylo S25Premier 0.670.631.72 1.18
Shai S13Veteran 0.690.621.88 1.24
Ace! S22Premier 0.640.81.64 1.27
Unexpected S17Master 0.740.792.05 1.30
DJDancingDuckGIF S25Master 0.570.572.06 1.35
ObiWan_Can_O_Bee S24Rival 0.510.631.63 1.43
Dolphino S17Master 0.50.622.0 1.46

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.