R4p

Contender - Rollers - 7-1 (0.875)
15 OVR
overall rating (0–100) · 8 games · how is this calculated?
Overall rating 15/100 Tier dominance: 85th (+1.0 SD) Projects as: Contender 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
3
38% of games
Shot %
35%

Per-game production (percentile within Contender)

StatPer gameTotalPercentile in tier
Points 334.0 2672
65th
Goals 1.0 8
82nd
Assists 0.62 5
79th
Saves 1.12 9
47th
Shots 2.88 23
86th
Demos 1.0 8
70th

League ranking (per game, among 1215 players)

StatPer gameOverall rankRank in Contender
Points334.0 #548 / 1215 #39 / 134
Goals1.0 #132 / 1215 #16 / 134
Assists0.62 #297 / 1215 #23 / 134
Saves1.12 #656 / 1215 #58 / 134
Demos1.0 #387 / 1215 #28 / 134

Season projection

Low confidence

64% of the season is played (8 → ~12 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 (34 games across 2 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 2672 4008 3974 3974 3922 – 4026
Goals 8 12 11 11 9 – 14
Assists 5 8 7 7 5 – 9
Saves 9 14 14 14 10 – 17
Shots 23 34 33 31 29 – 38
Demos 8 12 12 11 9 – 14
MVPs 3 4 4 4 3 – 6

Advanced stats (ballchasing)

From 8 ballchasing replays (matches + scrims). Not enough replays for an Advanced OVR yet.

Boost / min 311.6
Avg boost 54.6
Boost stolen / game 485.6
% time at 0 boost 6.7%
Avg speed (uu/s) 1426.1
% supersonic 8.0%
% time high in air 1.7%
Avg distance to ball 2849.4
% time attacking third 22.6%
Demos / game 1.0
Demos taken / game 0.4
Shooting % 38.3%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S20Challenger7 0.860.140.29 337
S21Challenger4 1.00.51.75 311
S23Challenger14 0.360.360.71 282
S24Prospect1 1.01.01.0 350
S25Contender20 0.70.451.5 323
S26Contender8 1.00.621.12 312

Beyond RSC - lifetime & other play

External skill estimate: ~41 OVR High confidence — inferred from 310 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 15.
SourceGames RecordWin % Score/g
Lifetime (all)2632908-1059 46% 288
RSC (official)4518-20 47% 309
Non-RSC ranked 3v3310115-120 49% 291
Non-RSC other2277775-919 46% 287

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 0.93 0.88 – 1.08
Assists/game0.62 0.61 0.57 – 0.68
Saves/game1.12 1.2 1.04 – 1.27
Shots/game2.88 2.75 2.67 – 2.91

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
Orphaned Baby Pangolin S25Contender 1.080.681.2 0.87
Dooober S21Elite 1.120.751.12 0.94
HyPe56 S21Contender 0.930.560.95 0.96
DrProfessorNoah S23Challenger 0.960.531.23 1.00
Canadian Gamer S22Challenger 0.90.61.2 1.04
Tonini08 S25Contender 1.120.571.36 1.04
Tryhard goblin S26Prospect 1.00.661.45 1.05
Wrychew S17Amateur 1.220.661.27 1.05
Gmoney S25Prospect 0.80.741.02 1.12
Unc Jeebs S26Challenger 0.940.611.03 1.12

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.