Charlemagne

Challenger - Insider Traders - 10-6 (0.625)
40 OVR
overall rating (0–100) · 16 games · how is this calculated?
Overall rating 40/100 Tier dominance: 69th (+0.3 SD) Projects as: Challenger Role: Striker / 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
25% of games
Shot %
33%

Per-game production (percentile within Challenger)

StatPer gameTotalPercentile in tier
Points 379.75 6076
77th
Goals 1.0 16
77th
Assists 0.62 10
71st
Saves 1.12 18
26th
Shots 3.0 48
85th
Demos 0.38 6
5th

League ranking (per game, among 1215 players)

StatPer gameOverall rankRank in Challenger
Points379.75 #219 / 1215 #30 / 166
Goals1.0 #132 / 1215 #22 / 166
Assists0.62 #297 / 1215 #37 / 166
Saves1.12 #656 / 1215 #98 / 166
Demos0.38 #887 / 1215 #125 / 166

Season projection

Low confidence

60% of the season is played (16 → ~27 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 (137 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 6076 10253 10112 10112 10014 – 10211
Goals 16 27 26 27 21 – 31
Assists 10 17 17 16 13 – 20
Saves 18 30 31 31 25 – 37
Shots 48 81 79 79 71 – 88
Demos 6 10 12 10 8 – 16
MVPs 4 7 6 6 4 – 9

Advanced stats (ballchasing)

Advanced OVR 31 /100

From 16 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 307.8
Avg boost 45.6
Boost stolen / game 389.1
% time at 0 boost 11.7%
Avg speed (uu/s) 1406.0
% supersonic 7.9%
% time high in air 3.5%
Avg distance to ball 3032.5
% time attacking third 16.9%
Demos / game 0.4
Demos taken / game 1.2
Shooting % 33.1%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S23Prospect56 1.070.621.14 352
S24Rival49 0.710.391.39 334
S25Rival32 0.880.471.28 330
S26Challenger16 1.00.621.12 308

Beyond RSC - lifetime & other play

External skill estimate: ~35 OVR Medium confidence — inferred from 81 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 40.
SourceGames RecordWin % Score/g
Lifetime (all)1656661-630 51% 360
RSC (official)3514-16 47% 366
Non-RSC ranked 3v38123-28 45% 281
Non-RSC other1540624-586 52% 364

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/game1.0 1.0 0.89 – 1.07
Assists/game0.62 0.57 0.53 – 0.64
Saves/game1.12 1.3 1.08 – 1.38
Shots/game3.0 2.88 2.58 – 2.97

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
Dofrl S26Prospect 0.80.521.04 1.08
The_Killerwon S22Rival 1.130.531.4 1.08
The_Killerwon S24Rival 0.890.521.3 1.17
Urgirlismysideho S17Amateur 1.120.661.21 1.23
StaRazor S17Amateur 1.070.541.43 1.33
Dofri9976 S23Challenger 0.90.70.95 1.34
Canadian "Washed Queen" Things S13Elite 0.750.620.88 1.37
Charlemagne S23Prospect 1.070.621.14 1.38
MoonKnight2 S22Amateur 1.150.591.28 1.43
Reeve- S21Prospect 1.070.531.2 1.43

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.