Bazzinga

Rival - Barracudas - 13-15 (0.464)
48 OVR
overall rating (0–100) · 28 games · how is this calculated?
Overall rating 48/100 Tier dominance: 27th (-0.7 SD) Projects as: Rival Role: Role player
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
11% of games
Shot %
36%

Per-game production (percentile within Rival)

StatPer gameTotalPercentile in tier
Points 290.96 8147
11th
Goals 0.68 19
39th
Assists 0.46 13
33rd
Saves 1.11 31
20th
Shots 1.89 53
16th
Demos 0.93 26
47th

League ranking (per game, among 1215 players)

StatPer gameOverall rankRank in Rival
Points290.96 #798 / 1215 #120 / 164
Goals0.68 #589 / 1215 #81 / 164
Assists0.46 #624 / 1215 #90 / 164
Saves1.11 #678 / 1215 #107 / 164
Demos0.93 #483 / 1215 #70 / 164

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 (206 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 8147 14548 14794 14794 14661 – 14926
Goals 19 34 34 35 28 – 41
Assists 13 23 24 24 18 – 29
Saves 31 55 57 58 48 – 65
Shots 53 95 98 98 87 – 108
Demos 26 46 47 47 40 – 54
MVPs 3 5 6 6 3 – 8

Advanced stats (ballchasing)

Advanced OVR 34 /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 327.2
Avg boost 49.3
Boost stolen / game 532.5
% time at 0 boost 7.0%
Avg speed (uu/s) 1487.1
% supersonic 10.2%
% time high in air 4.0%
Avg distance to ball 3216.7
% time attacking third 20.2%
Demos / game 0.8
Demos taken / game 1.2
Shooting % 39.7%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S20Challenger4 0.50.251.25 300
S21Rival4 1.01.01.25 290
S22Rival27 0.850.411.67 327
S23Rival60 0.80.51.65 329
S24Rival63 0.860.591.3 308
S25Rival56 0.820.51.57 305
S26Rival26 0.730.421.08 327

Beyond RSC - lifetime & other play

External skill estimate: ~72 OVR Low confidence — inferred from 22 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 48.
SourceGames RecordWin % Score/g
Lifetime (all)1456585-544 52% 363
RSC (official)11-0 100% 272
Non-RSC ranked 3v3225-12 29% 341
Non-RSC other1433579-532 52% 363

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/game0.73 0.71 0.66 – 0.77
Assists/game0.42 0.41 0.38 – 0.45
Saves/game1.08 1.13 1.07 – 1.17
Shots/game1.96 2.0 1.87 – 2.19

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
VeryBadKittyCat S23Challenger 0.550.361.09 0.78
StephM2_ S23Amateur 0.710.411.1 0.80
Novarchite / Jaager S23Challenger 0.660.411.17 0.85
rinny_b0y S26Contender 0.60.470.87 0.91
hoyci S22Veteran 0.580.421.06 0.95
daggumbigfeet S24Veteran 0.850.381.08 0.95
D0peyFsh S26Contender 0.70.50.97 0.95
Daulton . S20Veteran 0.70.51.0 0.96
1999 Toyota Camry S26Challenger 0.540.461.17 0.98
CaptnFlufflepuff S20Prospect 0.70.541.07 0.98

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.