Catlas

Veteran - Dragonborn - 14-14 (0.500)
72 OVR
overall rating (0–100) · 28 games · how is this calculated?
Overall rating 72/100 Tier dominance: 92nd (+1.3 SD) Projects as: Veteran 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
8
29% of games
Shot %
37%

Per-game production (percentile within Veteran)

StatPer gameTotalPercentile in tier
Points 393.57 11020
85th
Goals 1.04 29
88th
Assists 0.57 16
48th
Saves 1.36 38
45th
Shots 2.79 78
63rd
Demos 1.39 39
79th

League ranking (per game, among 1215 players)

StatPer gameOverall rankRank in Veteran
Points393.57 #141 / 1215 #20 / 170
Goals1.04 #121 / 1215 #16 / 170
Assists0.57 #401 / 1215 #70 / 170
Saves1.36 #414 / 1215 #75 / 170
Demos1.39 #175 / 1215 #29 / 170

Season projection

Medium confidence

56% of the season is played (28 → ~50 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 (60 games across 1 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 11020 19679 19485 19485 19336 – 19635
Goals 29 52 50 50 43 – 58
Assists 16 29 29 29 23 – 34
Saves 38 68 68 70 59 – 77
Shots 78 139 138 140 126 – 151
Demos 39 70 68 71 59 – 77
MVPs 8 14 14 14 10 – 17

Advanced stats (ballchasing)

Advanced OVR 94 /100

From 26 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 430.8
Avg boost 48.9
Boost stolen / game 548.2
% time at 0 boost 13.7%
Avg speed (uu/s) 1541.4
% supersonic 15.2%
% time high in air 5.5%
Avg distance to ball 2970.0
% time attacking third 21.8%
Demos / game 1.5
Demos taken / game 0.8
Shooting % 39.2%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S22Veteran60 0.70.681.65 433
S26Veteran26 1.080.581.38 431

Beyond RSC - lifetime & other play

External skill estimate: ~80 OVR High confidence — inferred from 835 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)65962846-2519 53% 417
RSC (official)107-3 70% 404
Non-RSC ranked 3v3835311-323 49% 354
Non-RSC other57512528-2193 54% 426

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/game1.08 0.98 0.96 – 1.05
Assists/game0.58 0.62 0.56 – 0.66
Saves/game1.39 1.41 1.31 – 1.45
Shots/game2.77 2.88 2.75 – 2.97

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
Rzemb1e S25Master 1.020.471.5 0.69
JayX S22Elite 1.210.541.33 0.71
Yoza S25Veteran 0.970.661.46 0.89
wall2wall3 S23Elite 0.920.571.24 0.90
Cloudburst S23Elite 1.020.621.44 0.91
WinterMajorChamp S25Master 1.040.731.23 0.93
Gyarados-_- S26Rival 0.940.521.45 0.97
Nahzey S22Veteran 1.130.641.32 1.02
S_ckz S26Elite 0.880.51.25 1.04
KTVerse S26Prospect 1.210.51.33 1.08

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.