.Desty

Challenger - Boost Steal - 12-19 (0.387)
41 OVR
overall rating (0–100) · 31 games · how is this calculated?
Overall rating 41/100 Tier dominance: 78th (+0.8 SD) Projects as: Challenger Role: 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
7
23% of games
Shot %
38%

Per-game production (percentile within Challenger)

StatPer gameTotalPercentile in tier
Points 374.71 11616
73rd
Goals 1.03 32
85th
Assists 0.52 16
47th
Saves 1.26 39
50th
Shots 2.71 84
68th
Demos 0.68 21
32nd

League ranking (per game, among 1215 players)

StatPer gameOverall rankRank in Challenger
Points374.71 #248 / 1215 #36 / 166
Goals1.03 #126 / 1215 #20 / 166
Assists0.52 #508 / 1215 #70 / 166
Saves1.26 #510 / 1215 #66 / 166
Demos0.68 #693 / 1215 #89 / 166

Season projection

High confidence

60% of the season is played (31 → ~52 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 (59 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 11616 19485 19341 19341 19201 – 19481
Goals 32 54 53 54 45 – 60
Assists 16 27 27 28 22 – 32
Saves 39 65 66 63 57 – 74
Shots 84 141 140 143 128 – 152
Demos 21 35 37 36 30 – 43
MVPs 7 12 11 11 8 – 15

Advanced stats (ballchasing)

Advanced OVR 76 /100

From 27 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 367.2
Avg boost 52.4
Boost stolen / game 483.1
% time at 0 boost 7.4%
Avg speed (uu/s) 1566.3
% supersonic 10.7%
% time high in air 5.0%
Avg distance to ball 2905.4
% time attacking third 21.5%
Demos / game 0.7
Demos taken / game 1.3
Shooting % 41.0%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S25Challenger59 1.050.750.81 374
S26Challenger27 1.150.481.33 367

Beyond RSC - lifetime & other play

External skill estimate: ~48 OVR High confidence — inferred from 677 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 41.
SourceGames RecordWin % Score/g
Lifetime (all)2143888-822 52% 370
RSC (official)64-1 80% 504
Non-RSC ranked 3v3677249-256 49% 303
Non-RSC other1460635-565 53% 400

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/game1.15 1.05 0.92 – 1.11
Assists/game0.48 0.52 0.5 – 0.57
Saves/game1.33 1.29 1.23 – 1.36
Shots/game2.74 2.81 2.65 – 3.0

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
Absolutely TOR S24Veteran 1.140.561.27 0.83
IIIYummyIII S24Rival 1.030.541.36 0.94
SSpekky S20Elite 1.250.51.5 1.11
Sauce_Boss_36 S21Veteran 1.00.51.21 1.14
DenZ S22Veteran 0.940.571.33 1.15
magician snack time S23Elite 1.00.481.61 1.21
BDBR S13Veteran 1.060.441.06 1.23
machu S13Veteran 0.850.51.4 1.23
WuhanEggroll295 S14Rival 1.080.581.33 1.25
LEBRON JAMES S26Veteran 1.120.541.62 1.30

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.