T3mp0-

Challenger - Insider Traders - 6-6 (0.500)
43 OVR
overall rating (0–100) · 12 games · how is this calculated?
Overall rating 43/100 Tier dominance: 88th (+1.3 SD) Projects as: Challenger Role: Star all-rounder
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
33% of games
Shot %
47%

Per-game production (percentile within Challenger)

StatPer gameTotalPercentile in tier
Points 472.75 5673
99th
Goals 1.25 15
96th
Assists 0.67 8
77th
Saves 1.67 20
87th
Shots 2.67 32
64th
Demos 1.17 14
76th

League ranking (per game, among 1215 players)

StatPer gameOverall rankRank in Challenger
Points472.75 #8 / 1215 #1 / 166
Goals1.25 #35 / 1215 #4 / 166
Assists0.67 #229 / 1215 #27 / 166
Saves1.67 #127 / 1215 #16 / 166
Demos1.17 #283 / 1215 #32 / 166

Season projection

Low confidence

60% of the season is played (12 → ~20 games). Projected (this season) blends the current rate with the tier average (regression to the mean). . Pace is the naive "keep current rate" number. Range = 80% prediction interval on the this-season projection.

Stat Now Pace Projected (season) 80% range
Points 5673 9455 9034 8946 – 9122
Goals 15 25 23 19 – 28
Assists 8 13 13 10 – 16
Saves 20 33 32 27 – 37
Shots 32 53 53 46 – 60
Demos 14 23 23 18 – 27
MVPs 4 7 6 4 – 8

Advanced stats (ballchasing)

No ballchasing replay data for this player. Advanced stats (boost, speed, positioning, demos) only exist for the ~37% of players whose matches/scrims were uploaded to ballchasing - coverage depends on who uploads, not on the player.

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/game1.25 1.08 1.0 – 1.13
Assists/game0.5 0.56 0.47 – 0.64
Saves/game1.62 1.5 1.38 – 1.59
Shots/game2.88 3.0 2.83 – 3.26

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
Static S24Premier 1.160.561.56 1.06
duffydoug S19Elite 1.080.671.83 1.31
mogii S21Premier 1.250.41.5 1.36
Isaac13003 S22Master 1.10.451.7 1.41
Poptart Pounder S23Elite 1.060.471.3 1.42
dray S26Challenger 1.160.51.59 1.45
BankShark S24Veteran 1.10.531.32 1.46
R0cket S26Master 1.00.581.88 1.48
Fanatic S24Elite 1.00.411.82 1.50
mogii S22Premier 1.130.561.56 1.51

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.