Doodle!

Elite - Orochi - 14-14 (0.500)
👤 Career - also played as S.S.F.C. Doodle!, Chips.
84 OVR
overall rating (0–100) · 28 games · how is this calculated?
Overall rating 84/100 Tier dominance: 81st (+0.7 SD) Projects as: Elite Role: Playmaker / 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
6
21% of games
Shot %
38%

Per-game production (percentile within Elite)

StatPer gameTotalPercentile in tier
Points 410.82 11503
91st
Goals 0.96 27
83rd
Assists 0.79 22
86th
Saves 1.57 44
67th
Shots 2.57 72
50th
Demos 0.86 24
33rd

League ranking (per game, among 1215 players)

StatPer gameOverall rankRank in Elite
Points410.82 #91 / 1215 #11 / 179
Goals0.96 #194 / 1215 #22 / 179
Assists0.79 #95 / 1215 #18 / 179
Saves1.57 #186 / 1215 #41 / 179
Demos0.86 #544 / 1215 #84 / 179

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 (128 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 11503 20541 20266 20266 20114 – 20418
Goals 27 48 47 47 40 – 55
Assists 22 39 38 39 32 – 45
Saves 44 79 78 78 68 – 87
Shots 72 129 129 129 116 – 141
Demos 24 43 44 43 37 – 51
MVPs 6 11 10 10 7 – 14

Advanced stats (ballchasing)

Advanced OVR 82 /100

From 28 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 329.7
Avg boost 53.8
Boost stolen / game 409.9
% time at 0 boost 6.3%
Avg speed (uu/s) 1489.7
% supersonic 12.8%
% time high in air 6.5%
Avg distance to ball 2914.3
% time attacking third 21.5%
Demos / game 0.9
Demos taken / game 1.0
Shooting % 36.8%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S20Master4 0.250.51.5 325
S22Master49 0.920.591.47 335
S23Master19 0.680.91.26 302
S24Elite45 0.730.641.56 319
S25Elite15 0.931.071.27 337
S26Elite28 0.960.751.82 330

Beyond RSC - lifetime & other play

External skill estimate: ~80 OVR High confidence — inferred from 1624 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 84.
SourceGames RecordWin % Score/g
Lifetime (all)75763118-3134 50% 386
RSC (official)9241-37 53% 395
Non-RSC ranked 3v31624660-638 51% 354
Non-RSC other58602417-2459 50% 394

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/game0.96 0.89 0.82 – 0.92
Assists/game0.75 0.68 0.62 – 0.75
Saves/game1.82 1.66 1.53 – 1.79
Shots/game2.5 2.7 2.54 – 2.78

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
Headshotn S24Veteran 0.90.621.79 1.07
Choco S26Veteran 0.890.751.82 1.11
Classy S23Veteran 0.720.651.75 1.19
pythagorjags S25Contender 0.920.591.68 1.20
MrToastyy99 S26Veteran 0.910.731.54 1.25
HaZard S26Elite 0.940.751.75 1.27
Viglio S13Elite 1.00.751.67 1.29
avatarmanz S19Master 0.850.851.54 1.30
The CZD S25Master 0.890.611.56 1.32
ExecutivePowers S24Rival 0.90.71.92 1.33

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.