Jerxe

Challenger - FA - 8-17 (0.320)
33 OVR
overall rating (0–100) · 25 games · how is this calculated?
Overall rating 33/100 Tier dominance: 22nd (-0.8 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
3
12% of games
Shot %
21%

Per-game production (percentile within Challenger)

StatPer gameTotalPercentile in tier
Points 317.04 7926
32nd
Goals 0.48 12
12th
Assists 0.52 13
49th
Saves 1.32 33
55th
Shots 2.24 56
31st
Demos 1.36 34
82nd

League ranking (per game, among 1215 players)

StatPer gameOverall rankRank in Challenger
Points317.04 #665 / 1215 #91 / 166
Goals0.48 #826 / 1215 #117 / 166
Assists0.52 #500 / 1215 #67 / 166
Saves1.32 #456 / 1215 #60 / 166
Demos1.36 #198 / 1215 #23 / 166

Season projection

Medium confidence

60% of the season is played (25 → ~42 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 (51 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 7926 13316 13416 13416 13299 – 13533
Goals 12 20 21 24 16 – 26
Assists 13 22 22 23 17 – 27
Saves 33 55 55 55 48 – 63
Shots 56 94 95 100 85 – 105
Demos 34 57 56 54 48 – 63
MVPs 3 5 5 5 3 – 8

Advanced stats (ballchasing)

Advanced OVR 33 /100

From 25 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 395.4
Avg boost 49.6
Boost stolen / game 450.0
% time at 0 boost 12.3%
Avg speed (uu/s) 1597.5
% supersonic 15.7%
% time high in air 5.5%
Avg distance to ball 3040.9
% time attacking third 18.6%
Demos / game 1.4
Demos taken / game 0.8
Shooting % 20.9%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S25Challenger51 1.160.721.31 379
S26Challenger25 0.480.521.32 395

Beyond RSC - lifetime & other play

External skill estimate: ~50 OVR High confidence — inferred from 741 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 33.
SourceGames RecordWin % Score/g
Lifetime (all)49421956-1953 50% 366
RSC (official)124-4 50% 425
Non-RSC ranked 3v3741288-289 50% 305
Non-RSC other41891664-1660 50% 377

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 0.55 0.5 – 0.65
Assists/game0.52 0.52 0.47 – 0.59
Saves/game1.32 1.37 1.27 – 1.48
Shots/game2.24 2.2 2.04 – 2.33

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
Unexpected S23Master 0.460.61.3 0.75
bradyK- S25Elite 0.50.541.23 1.04
CarnageWolfBite S19Rival 0.670.51.17 1.10
christophr S23Master 0.540.441.48 1.10
Unexpected S22Master 0.660.61.46 1.15
SqueezySponge_ S23Challenger 0.60.41.17 1.17
Alejandro55 S24Master 0.50.51.4 1.17
Grandejuevos45 S23Veteran 0.540.461.54 1.17
drubus S20Rival 0.550.61.45 1.22
wall2wall3 S26Master 0.640.431.07 1.25

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.