Dooober

Elite - Sloths - 5-6 (0.455)
76 OVR
overall rating (0–100) · 11 games · how is this calculated?
Overall rating 76/100 Tier dominance: 28th (-0.6 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
2
18% of games
Shot %
33%

Per-game production (percentile within Elite)

StatPer gameTotalPercentile in tier
Points 358.18 3940
47th
Goals 0.73 8
42nd
Assists 0.45 5
26th
Saves 1.73 19
88th
Shots 2.18 24
21st
Demos 0.55 6
13th

League ranking (per game, among 1215 players)

StatPer gameOverall rankRank in Elite
Points358.18 #359 / 1215 #69 / 179
Goals0.73 #513 / 1215 #75 / 179
Assists0.45 #637 / 1215 #96 / 179
Saves1.73 #98 / 1215 #16 / 179
Demos0.55 #781 / 1215 #112 / 179

Season projection

Low confidence

56% of the season is played (11 → ~20 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 (158 games across 6 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 3940 7164 7150 7150 7062 – 7238
Goals 8 15 15 14 11 – 19
Assists 5 9 10 10 6 – 13
Saves 19 35 33 33 27 – 39
Shots 24 44 45 45 38 – 52
Demos 6 11 13 13 9 – 17
MVPs 2 4 4 4 2 – 5

Advanced stats (ballchasing)

Advanced OVR 34 /100

From 15 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 324.6
Avg boost 45.6
Boost stolen / game 394.4
% time at 0 boost 10.1%
Avg speed (uu/s) 1463.7
% supersonic 8.2%
% time high in air 5.2%
Avg distance to ball 3067.2
% time attacking third 18.9%
Demos / game 0.7
Demos taken / game 0.8
Shooting % 28.3%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S20Elite8 1.120.751.38 322
S21Elite8 1.120.751.12 312
S22Elite8 0.880.251.75 322
S23Elite45 0.620.531.67 338
S24Elite38 0.580.551.4 314
S25Elite51 0.610.631.2 324
S26Elite15 0.60.41.87 325

Beyond RSC - lifetime & other play

External skill estimate: ~73 OVR High confidence — inferred from 662 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 76.
SourceGames RecordWin % Score/g
Lifetime (all)61832582-2417 52% 395
RSC (official)3314-12 54% 346
Non-RSC ranked 3v3662258-258 50% 342
Non-RSC other54882310-2147 52% 401

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/game0.6 0.61 0.5 – 0.65
Assists/game0.4 0.41 0.38 – 0.48
Saves/game1.87 1.75 1.68 – 1.82
Shots/game2.33 2.28 2.14 – 2.39

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
CoachJimmy_TECT S22Contender 0.650.431.68 0.81
iProfessorEx S22Veteran 0.70.381.72 0.90
Blurrryy. S24Rival 0.640.411.56 0.96
Misfitsmedia_ S17Veteran 0.50.251.75 1.09
lXploitl S19Challenger 0.610.392.06 1.09
VickyViksta S22Challenger 0.520.391.7 1.10
Thunderbolt S26Challenger 0.750.381.62 1.11
RedSavage S18Veteran 0.670.331.78 1.12
Dunnie14 S24Veteran 0.540.521.75 1.13
SSpekky S19Elite 0.560.332.11 1.15

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.