Evil twin

Contender - Kappa - 4-8 (0.333)
5 OVR
overall rating (0–100) · 12 games · how is this calculated?
Overall rating 5/100 Tier dominance: 1st (-1.8 SD) Projects as: Amateur ↓ Below tier level 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
0
0% of games
Shot %
33%

Per-game production (percentile within Contender)

StatPer gameTotalPercentile in tier
Points 227.0 2724
2nd
Goals 0.5 6
12th
Assists 0.17 2
5th
Saves 1.0 12
26th
Shots 1.5 18
3rd
Demos 0.08 1
3rd

League ranking (per game, among 1215 players)

StatPer gameOverall rankRank in Contender
Points227.0 #929 / 1215 #109 / 134
Goals0.5 #791 / 1215 #91 / 134
Assists0.17 #917 / 1215 #106 / 134
Saves1.0 #738 / 1215 #68 / 134
Demos0.08 #935 / 1215 #108 / 134

Season projection

Low confidence

64% of the season is played (12 → ~19 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 (203 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 2724 4313 4565 4565 4501 – 4629
Goals 6 10 10 10 7 – 13
Assists 2 3 4 4 2 – 6
Saves 12 19 19 19 15 – 23
Shots 18 28 31 29 25 – 36
Demos 1 2 4 4 1 – 6
MVPs 0 0 0 0 0 – 1

Advanced stats (ballchasing)

Advanced OVR 0 /100

From 12 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 281.5
Avg boost 51.9
Boost stolen / game 311.8
% time at 0 boost 7.2%
Avg speed (uu/s) 1312.7
% supersonic 4.3%
% time high in air 2.5%
Avg distance to ball 3268.4
% time attacking third 17.3%
Demos / game 0.1
Demos taken / game 1.1
Shooting % 23.3%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S20Contender14 0.430.361.29 287
S21Contender46 0.650.560.89 301
S22Contender39 0.620.441.03 298
S23Prospect40 0.420.351.12 279
S24Prospect20 0.450.41.35 290
S25Contender44 0.480.431.0 292
S26Contender12 0.50.171.0 282

Beyond RSC - lifetime & other play

External skill estimate: ~18 OVR High confidence — inferred from 115 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 5.
SourceGames RecordWin % Score/g
Lifetime (all)2870916-1291 42% 268
RSC (official)6416-27 37% 254
Non-RSC ranked 3v311544-37 54% 254
Non-RSC other2691856-1227 41% 268

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

Medium 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/game0.5 0.46 0.42 – 0.57
Assists/game0.17 0.26 0.23 – 0.35
Saves/game1.0 1.0 0.92 – 1.12
Shots/game1.5 1.57 1.43 – 1.71

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
Tyson_WA S23Prospect 0.440.251.06 1.12
Grumpy Mittens S26Amateur 0.50.170.94 1.30
NoBo_ostNaga S17Amateur 0.530.261.0 1.46
Protocol S17Amateur 0.570.371.12 1.48
Emily26210 S18Amateur 0.670.110.67 1.51
Silk-Fu S14Amateur 0.390.110.61 1.55
Godsfarm S18Amateur 0.320.40.92 1.57
maxf S25Contender 0.390.320.71 1.58
Shootzy S20Amateur 0.440.221.0 1.62
Evil twin S23Prospect 0.420.351.12 1.65

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.