Xero

Master - Care Bears - 7-6 (0.538)
90 OVR
overall rating (0–100) · 13 games · how is this calculated?
Overall rating 90/100 Tier dominance: 49th (-0.3 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
3
23% of games
Shot %
28%

Per-game production (percentile within Master)

StatPer gameTotalPercentile in tier
Points 343.62 4467
36th
Goals 0.77 10
55th
Assists 0.38 5
24th
Saves 1.38 18
45th
Shots 2.77 36
67th
Demos 0.85 11
31st

League ranking (per game, among 1213 players)

StatPer gameOverall rankRank in Master
Points343.62 #472 / 1213 #50 / 107
Goals0.77 #426 / 1213 #34 / 107
Assists0.38 #737 / 1213 #58 / 107
Saves1.38 #372 / 1213 #43 / 107
Demos0.85 #540 / 1213 #54 / 107

Season projection

Low confidence

60% of the season is played (13 → ~22 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 (52 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 4467 7560 7586 7586 7500 – 7671
Goals 10 17 17 16 13 – 21
Assists 5 8 9 9 6 – 12
Saves 18 30 30 33 25 – 36
Shots 36 61 60 58 53 – 68
Demos 11 19 20 19 15 – 24
MVPs 3 5 5 5 3 – 7

Advanced stats (ballchasing)

Advanced OVR 44 /100

From 13 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 370.4
Avg boost 54.8
Boost stolen / game 518.5
% time at 0 boost 6.5%
Avg speed (uu/s) 1421.1
% supersonic 10.6%
% time high in air 4.3%
Avg distance to ball 3025.2
% time attacking third 20.0%
Demos / game 0.8
Demos taken / game 1.0
Shooting % 31.1%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S20Master16 0.690.622.0 370
S21Master24 0.380.331.96 369
S25Master12 0.50.421.92 374
S26Master13 0.770.381.38 370

Beyond RSC - lifetime & other play

External skill estimate: ~74 OVR High confidence — inferred from 1552 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)63412340-2533 48% 363
RSC (official)5619-21 48% 378
Non-RSC ranked 3v31552568-572 50% 344
Non-RSC other47331753-1940 47% 369

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/game0.77 0.78 0.74 – 0.83
Assists/game0.39 0.41 0.38 – 0.46
Saves/game1.39 1.38 1.31 – 1.45
Shots/game2.77 2.6 2.55 – 2.75

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
SUP3RM00NS S25Rival 0.780.351.38 0.75
Ryan. S26Veteran 0.750.51.28 0.89
Shogun S22Prospect 0.810.441.38 0.94
diazrl S20Rival 0.720.331.44 0.98
mogulmaniac5480 S23Rival 0.940.41.25 1.02
Kagura Shinji S14Rival 0.830.421.33 1.03
Escape_Plan S22Veteran 0.760.361.21 1.04
mojomo (Goofy and Silly) S25Master 0.750.31.5 1.06
nizzlepls S13Rival 0.940.381.38 1.06
LoneDrifter. S25Challenger 0.780.471.27 1.07

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.