TweakingOut

Challenger - Chromatic Chaos - 15-12 (0.556)
38 OVR
overall rating (0–100) · 27 games · how is this calculated?
Overall rating 38/100 Tier dominance: 55th (-0.1 SD) Projects as: Challenger Role: Playmaker
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
4
15% of games
Shot %
28%

Per-game production (percentile within Challenger)

StatPer gameTotalPercentile in tier
Points 298.7 8065
18th
Goals 0.56 15
20th
Assists 0.74 20
85th
Saves 1.19 32
36th
Shots 2.0 54
9th
Demos 1.41 38
84th

League ranking (per game, among 1215 players)

StatPer gameOverall rankRank in Challenger
Points298.7 #762 / 1215 #109 / 166
Goals0.56 #750 / 1215 #104 / 166
Assists0.74 #152 / 1215 #20 / 166
Saves1.19 #588 / 1215 #85 / 166
Demos1.41 #165 / 1215 #21 / 166

Season projection

High confidence

60% of the season is played (27 → ~45 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 (152 games across 3 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 8065 13442 13617 13617 13499 – 13734
Goals 15 25 26 26 21 – 31
Assists 20 33 32 32 27 – 38
Saves 32 53 54 53 46 – 61
Shots 54 90 92 91 82 – 102
Demos 38 63 62 67 54 – 69
MVPs 4 7 7 7 4 – 9

Advanced stats (ballchasing)

Advanced OVR 41 /100

From 23 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 387.2
Avg boost 44.8
Boost stolen / game 578.2
% time at 0 boost 14.4%
Avg speed (uu/s) 1429.2
% supersonic 8.8%
% time high in air 3.5%
Avg distance to ball 2968.9
% time attacking third 21.8%
Demos / game 1.4
Demos taken / game 0.6
Shooting % 30.1%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S23Challenger45 0.820.820.96 387
S24Challenger60 0.620.371.17 415
S25Challenger47 0.770.551.28 428
S26Challenger23 0.480.651.22 387

Beyond RSC - lifetime & other play

External skill estimate: ~40 OVR High confidence — inferred from 690 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 38.
SourceGames RecordWin % Score/g
Lifetime (all)60522252-2681 46% 319
RSC (official)4113-18 42% 268
Non-RSC ranked 3v3690277-297 48% 289
Non-RSC other53211962-2366 45% 323

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/game0.48 0.51 0.48 – 0.61
Assists/game0.65 0.56 0.5 – 0.61
Saves/game1.22 1.21 1.13 – 1.33
Shots/game1.74 1.93 1.83 – 2.1

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
Shepherd S24Master 0.570.61.26 1.19
Chung S18Rival 0.640.551.18 1.25
Free. S21Challenger 0.440.441.44 1.33
AK ._. S21Elite 0.610.721.28 1.38
Free. S20Challenger 0.560.51.19 1.38
SludgeMixFuzz S26Prospect 0.470.531.4 1.53
dyl S18Challenger 0.670.561.22 1.53
Shogun S23Challenger 0.460.621.15 1.55
iSilently S26Contender 0.620.461.04 1.56
Chicken S25Veteran 0.50.561.29 1.57

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.