buckle

Elite - FA - 4-4 (0.500)
81 OVR
overall rating (0–100) · 8 games · how is this calculated?
Overall rating 81/100 Tier dominance: 62nd (+0.3 SD) Projects as: Elite Role: 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
3
38% of games
Shot %
22%

Per-game production (percentile within Elite)

StatPer gameTotalPercentile in tier
Points 374.25 2994
64th
Goals 0.62 5
24th
Assists 0.62 5
60th
Saves 2.0 16
96th
Shots 2.88 23
71st
Demos 1.25 10
68th

League ranking (per game, among 1215 players)

StatPer gameOverall rankRank in Elite
Points374.25 #251 / 1215 #47 / 179
Goals0.62 #660 / 1215 #97 / 179
Assists0.62 #297 / 1215 #51 / 179
Saves2.0 #24 / 1215 #3 / 179
Demos1.25 #237 / 1215 #40 / 179

Season projection

Low confidence

56% of the season is played (8 → ~14 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 (182 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 2994 5240 5180 5180 5110 – 5251
Goals 5 9 9 9 6 – 12
Assists 5 9 9 9 6 – 11
Saves 16 28 26 27 21 – 31
Shots 23 40 39 38 33 – 45
Demos 10 18 17 17 13 – 21
MVPs 3 5 5 5 3 – 6

Advanced stats (ballchasing)

From 8 ballchasing replays (matches + scrims). Not enough replays for an Advanced OVR yet.

Boost / min 363.8
Avg boost 53.2
Boost stolen / game 433.1
% time at 0 boost 7.3%
Avg speed (uu/s) 1456.9
% supersonic 12.4%
% time high in air 4.0%
Avg distance to ball 2895.6
% time attacking third 21.0%
Demos / game 1.2
Demos taken / game 1.1
Shooting % 16.5%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S20Master7 1.140.571.0 396
S21Master20 0.550.452.3 364
S22Elite4 1.750.51.0 410
S23Elite56 0.590.661.75 375
S24Elite60 0.650.61.7 377
S25Elite46 0.720.481.17 362
S26Elite8 0.620.622.0 364

Beyond RSC - lifetime & other play

External skill estimate: ~72 OVR High confidence — inferred from 995 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 81.
SourceGames RecordWin % Score/g
Lifetime (all)82333388-3223 51% 376
RSC (official)10842-45 48% 358
Non-RSC ranked 3v3995399-386 51% 341
Non-RSC other71302947-2792 51% 381

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/game0.62 0.71 0.67 – 0.75
Assists/game0.62 0.61 0.54 – 0.67
Saves/game2.0 1.83 1.75 – 1.88
Shots/game2.88 2.64 2.42 – 2.89

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
OGkrish S19Veteran 0.710.572.07 0.95
Ghostie S25Rival 0.680.531.83 1.02
mr_marino_ S25Veteran 0.710.472.14 1.07
Tartan ^.^ S21Premier 0.750.621.88 1.20
kalten S26Elite 0.580.481.77 1.22
Classy S23Veteran 0.720.651.75 1.32
Kiraw _ S26Rival 0.60.41.95 1.35
jknop2 S22Veteran 0.650.681.72 1.39
BanThisOne2 S22Veteran 0.730.62.11 1.42
LC Spirit S24Elite 0.750.541.83 1.45

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.