Shadows_ss

Contender - Eladrin - 13-8 (0.619)
10 OVR
overall rating (0–100) · 21 games · how is this calculated?
Overall rating 10/100 Tier dominance: 42nd (-0.4 SD) Projects as: Contender 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
5% of games
Shot %
32%

Per-game production (percentile within Contender)

StatPer gameTotalPercentile in tier
Points 217.14 4560
1st
Goals 0.62 13
36th
Assists 0.1 2
4th
Saves 0.24 5
4th
Shots 1.9 40
21st
Demos 2.38 50
98th

League ranking (per game, among 1215 players)

StatPer gameOverall rankRank in Contender
Points217.14 #934 / 1215 #110 / 134
Goals0.62 #678 / 1215 #71 / 134
Assists0.1 #926 / 1215 #107 / 134
Saves0.24 #947 / 1215 #107 / 134
Demos2.38 #18 / 1215 #2 / 134

Season projection

Medium confidence

64% of the season is played (21 → ~33 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 (47 games across 2 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 4560 7166 7497 7497 7414 – 7579
Goals 13 20 21 20 17 – 25
Assists 2 3 4 5 2 – 7
Saves 5 8 11 10 7 – 15
Shots 40 63 64 62 57 – 72
Demos 50 79 73 79 66 – 81
MVPs 1 2 2 2 1 – 3

Advanced stats (ballchasing)

Advanced OVR 29 /100

From 21 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 404.6
Avg boost 47.1
Boost stolen / game 519.7
% time at 0 boost 12.4%
Avg speed (uu/s) 1573.8
% supersonic 14.5%
% time high in air 1.8%
Avg distance to ball 3337.8
% time attacking third 20.5%
Demos / game 2.4
Demos taken / game 0.8
Shooting % 30.7%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S24Challenger33 0.70.360.91 388
S25Prospect14 0.430.570.64 389
S26Contender21 0.620.10.24 405

Beyond RSC - lifetime & other play

External skill estimate: ~11 OVR High confidence — inferred from 470 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 10.
SourceGames RecordWin % Score/g
Lifetime (all)2689960-1227 44% 287
RSC (official)246-15 29% 296
Non-RSC ranked 3v3470172-191 47% 242
Non-RSC other2195782-1021 43% 296

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

Low 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/game0.62 0.61 0.5 – 0.77
Assists/game0.1 0.32 0.26 – 0.42
Saves/game0.24 0.88 0.7 – 0.95
Shots/game1.91 2.0 1.73 – 2.2

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
Goose S18Veteran 0.80.40.7 2.31
Shadows_ss S24Challenger 0.70.360.91 2.48
Froz3nSlack5r S22Contender 0.890.430.62 2.51
T_i_m_o_g S17Amateur 0.770.310.96 2.52
junior1000gsxr S24Rival 0.50.281.0 2.58
jj.dunbar S22Veteran 0.50.320.89 2.60
tr1ppn S21Rival 0.620.250.5 2.65
Irishhhh S18Veteran 0.550.460.82 2.67
Blitzzzzz. S23Prospect 0.720.310.77 2.70
BB3RK83 S13Prospect 1.00.250.62 2.74

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.