Scomps

Challenger - Decuriones - 2-9 (0.182)
31 OVR
overall rating (0–100) · 11 games · how is this calculated?
Overall rating 31/100 Tier dominance: 5th (-1.3 SD) Projects as: Challenger Role: Anchor
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
9% of games
Shot %
25%

Per-game production (percentile within Challenger)

StatPer gameTotalPercentile in tier
Points 314.55 3460
28th
Goals 0.55 6
18th
Assists 0.18 2
5th
Saves 1.45 16
72nd
Shots 2.18 24
23rd
Demos 0.27 3
3rd

League ranking (per game, among 1215 players)

StatPer gameOverall rankRank in Challenger
Points314.55 #681 / 1215 #96 / 166
Goals0.55 #764 / 1215 #108 / 166
Assists0.18 #916 / 1215 #127 / 166
Saves1.45 #313 / 1215 #36 / 166
Demos0.27 #916 / 1215 #129 / 166

Season projection

Low confidence

60% of the season is played (11 → ~18 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 (145 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 3460 5662 5741 5741 5669 – 5812
Goals 6 10 10 11 7 – 14
Assists 2 3 4 5 2 – 7
Saves 16 26 26 26 21 – 30
Shots 24 39 40 41 34 – 46
Demos 3 5 7 6 4 – 10
MVPs 1 2 2 2 1 – 3

Advanced stats (ballchasing)

Advanced OVR 10 /100

From 11 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 328.0
Avg boost 45.7
Boost stolen / game 402.1
% time at 0 boost 12.2%
Avg speed (uu/s) 1391.2
% supersonic 7.9%
% time high in air 4.4%
Avg distance to ball 2937.4
% time attacking third 19.3%
Demos / game 0.3
Demos taken / game 1.2
Shooting % 29.9%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S23Prospect47 1.110.641.45 353
S24Challenger40 0.880.51.48 337
S25Challenger58 0.690.571.09 353
S26Challenger11 0.550.181.46 328

Beyond RSC - lifetime & other play

External skill estimate: ~53 OVR Low confidence — inferred from 31 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 31.
SourceGames RecordWin % Score/g
Lifetime (all)1423561-503 53% 368
RSC (official)5224-15 62% 367
Non-RSC ranked 3v33111-10 52% 311
Non-RSC other1340526-478 52% 369

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/game0.55 0.57 0.5 – 0.62
Assists/game0.18 0.3 0.25 – 0.35
Saves/game1.46 1.42 1.24 – 1.53
Shots/game2.18 2.19 1.94 – 2.25

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
Merk890 S26Rival 0.520.141.29 0.95
Classy-God57 S26Contender 0.420.251.42 1.04
Rocketgirl_32 S24Amateur 0.660.181.53 1.05
Mattixbigs S13Rival 0.50.191.25 1.07
Rampage S21Challenger 0.620.191.56 1.18
stealthman777 S18Veteran 0.570.291.5 1.19
Envy S24Rival 0.620.251.38 1.25
Shark06 S17Contender 0.620.381.5 1.26
Canadian Things S25Elite 0.50.311.75 1.27
th3lofty S21Amateur 0.60.41.53 1.27

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.