Deadsinho

Elite - Great Whites - 6-8 (0.429)
👤 Career - also played as Dead
74 OVR
overall rating (0–100) · 14 games · how is this calculated?
Overall rating 74/100 Tier dominance: 11th (-1.2 SD) Projects as: Elite 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
1
7% of games
Shot %
16%

Per-game production (percentile within Elite)

StatPer gameTotalPercentile in tier
Points 301.93 4227
12th
Goals 0.36 5
5th
Assists 0.57 8
47th
Saves 1.0 14
8th
Shots 2.21 31
25th
Demos 0.86 12
33rd

League ranking (per game, among 1215 players)

StatPer gameOverall rankRank in Elite
Points301.93 #745 / 1215 #114 / 179
Goals0.36 #887 / 1215 #122 / 179
Assists0.57 #401 / 1215 #67 / 179
Saves1.0 #738 / 1215 #110 / 179
Demos0.86 #544 / 1215 #84 / 179

Season projection

Low confidence

56% of the season is played (14 → ~25 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 (62 games across 1 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 4227 7548 7759 7759 7666 – 7852
Goals 5 9 11 12 7 – 14
Assists 8 14 14 15 10 – 18
Saves 14 25 27 27 21 – 32
Shots 31 55 57 60 49 – 65
Demos 12 21 22 23 17 – 27
MVPs 1 2 2 2 1 – 4

Advanced stats (ballchasing)

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

Boost / min 408.3
Avg boost 48.8
Boost stolen / game 475.6
% time at 0 boost 15.7%
Avg speed (uu/s) 1617.1
% supersonic 18.6%
% time high in air 6.1%
Avg distance to ball 3189.7
% time attacking third 20.2%
Demos / game 0.9
Demos taken / game 0.5
Shooting % 23.6%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S25Veteran62 0.920.811.47 411
S26Elite11 0.360.731.18 409

Beyond RSC - lifetime & other play

External skill estimate: ~46 OVR High confidence — inferred from 1116 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 74.
SourceGames RecordWin % Score/g
Lifetime (all)27921091-1049 51% 356
RSC (official)92-7 22% 451
Non-RSC ranked 3v31116431-399 52% 299
Non-RSC other1667658-643 51% 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/game0.36 0.5 0.42 – 0.6
Assists/game0.73 0.67 0.62 – 0.76
Saves/game1.18 1.25 1.0 – 1.38
Shots/game2.36 2.19 2.12 – 2.32

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
Nahzey S23Elite 0.50.671.39 1.16
ValuedSquash465 S24Challenger 0.460.771.15 1.16
EllectroZx S17Premier 0.250.751.12 1.16
GoldFish S23Elite 0.420.621.42 1.16
Treefrog S20Challenger 0.50.751.25 1.21
Geo S25Elite 0.270.731.0 1.32
Sangani S26Premier 0.580.671.42 1.37
Frijole S22Master 0.610.671.44 1.37
Mysty S19Rival 0.310.690.94 1.48
Typhon S13Master 0.580.581.0 1.48

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.