bubles

Challenger - FA - 11-12 (0.478)
👤 Career - also played as Wannabuybubbles
36 OVR
overall rating (0–100) · 23 games · how is this calculated?
Overall rating 36/100 Tier dominance: 44th (-0.4 SD) Projects as: Challenger 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
13% of games
Shot %
35%

Per-game production (percentile within Challenger)

StatPer gameTotalPercentile in tier
Points 358.96 8256
67th
Goals 0.78 18
56th
Assists 0.39 9
20th
Saves 1.35 31
59th
Shots 2.26 52
32nd
Demos 1.13 26
71st

League ranking (per game, among 1215 players)

StatPer gameOverall rankRank in Challenger
Points358.96 #351 / 1215 #44 / 166
Goals0.78 #420 / 1215 #59 / 166
Assists0.39 #744 / 1215 #106 / 166
Saves1.35 #420 / 1215 #55 / 166
Demos1.13 #310 / 1215 #38 / 166

Season projection

Medium confidence

60% of the season is played (23 → ~38 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 (110 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 8256 13640 13572 13572 13458 – 13686
Goals 18 30 30 29 24 – 35
Assists 9 15 15 15 11 – 19
Saves 31 51 51 52 44 – 58
Shots 52 86 87 84 78 – 96
Demos 26 43 42 44 36 – 49
MVPs 3 5 5 5 3 – 7

Advanced stats (ballchasing)

Advanced OVR 62 /100

From 23 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 368.3
Avg boost 50.6
Boost stolen / game 564.8
% time at 0 boost 7.7%
Avg speed (uu/s) 1421.4
% supersonic 12.0%
% time high in air 3.9%
Avg distance to ball 3002.0
% time attacking third 18.6%
Demos / game 1.1
Demos taken / game 1.1
Shooting % 34.6%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S20Rival3 0.670.672.33 396
S23Rival18 0.390.561.56 369
S24Rival47 0.70.571.21 367
S25Rival45 0.60.361.73 345
S26Challenger23 0.780.391.35 368

Beyond RSC - lifetime & other play

External skill estimate: ~77 OVR High confidence — inferred from 391 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 36.
SourceGames RecordWin % Score/g
Lifetime (all)40221605-1579 50% 368
RSC (official)127-3 70% 416
Non-RSC ranked 3v3391154-147 51% 349
Non-RSC other36191444-1429 50% 370

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/game0.78 0.77 0.7 – 0.8
Assists/game0.39 0.45 0.41 – 0.48
Saves/game1.35 1.28 1.22 – 1.42
Shots/game2.26 2.32 2.17 – 2.4

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
Kagura Shinji S14Rival 0.830.421.33 0.87
Lorak S22Challenger 0.670.481.48 0.96
Pivot97 S25Prospect 0.80.561.28 0.99
wolverine36535 S25Prospect 0.630.411.37 1.03
Swanny2.0 S26Challenger 0.810.351.38 1.03
Mapl3Bac0n S23Premier 0.840.521.18 1.05
mogulmaniac5480 S23Rival 0.940.41.25 1.09
TheCroctopus S24Challenger 0.920.51.42 1.13
S3EZ S24Rival 0.70.451.15 1.17
derrrrrrrrp S22Veteran 0.780.381.49 1.17

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.