Canadian.

Challenger - Reef Gremlins - 6-10 (0.375)
👤 Career - also played as Canadian Gamer
32 OVR
overall rating (0–100) · 16 games · how is this calculated?
Overall rating 32/100 Tier dominance: 12th (-1.0 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
6% of games
Shot %
26%

Per-game production (percentile within Challenger)

StatPer gameTotalPercentile in tier
Points 300.62 4810
20th
Goals 0.62 10
29th
Assists 0.25 4
6th
Saves 1.69 27
89th
Shots 2.38 38
40th
Demos 0.69 11
35th

League ranking (per game, among 1215 players)

StatPer gameOverall rankRank in Challenger
Points300.62 #750 / 1215 #106 / 166
Goals0.62 #660 / 1215 #92 / 166
Assists0.25 #878 / 1215 #123 / 166
Saves1.69 #118 / 1215 #14 / 166
Demos0.69 #687 / 1215 #87 / 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 (84 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 4810 8117 8266 8266 8175 – 8357
Goals 10 17 17 19 13 – 22
Assists 4 7 8 9 5 – 11
Saves 27 46 44 43 38 – 51
Shots 38 64 65 66 57 – 73
Demos 11 19 20 19 15 – 24
MVPs 1 2 2 2 1 – 4

Advanced stats (ballchasing)

Advanced OVR 22 /100

From 12 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 315.5
Avg boost 50.2
Boost stolen / game 445.6
% time at 0 boost 9.4%
Avg speed (uu/s) 1344.2
% supersonic 7.3%
% time high in air 2.8%
Avg distance to ball 2880.6
% time attacking third 22.5%
Demos / game 0.4
Demos taken / game 0.6
Shooting % 29.2%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S20Challenger4 0.50.751.25 355
S21Challenger8 1.620.50.88 307
S22Challenger20 0.90.61.2 305
S23Rival7 0.430.431.57 339
S24Challenger56 1.20.751.16 338
S25Challenger3 0.670.670.33 323
S26Challenger12 0.670.331.92 316

Beyond RSC - lifetime & other play

External skill estimate: ~53 OVR High confidence — inferred from 391 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 32.
SourceGames RecordWin % Score/g
Lifetime (all)68012953-2472 54% 378
RSC (official)2211-9 55% 342
Non-RSC ranked 3v3391122-153 44% 311
Non-RSC other63882820-2310 55% 382

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

Medium 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/game0.67 0.67 0.52 – 0.74
Assists/game0.33 0.39 0.33 – 0.5
Saves/game1.92 1.7 1.6 – 1.91
Shots/game2.5 2.43 2.27 – 2.6

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
i like bananas S22Veteran 0.50.362.07 1.17
jojomojo13 S13Rival 0.750.331.75 1.37
Bender_Escobar S23Elite 0.740.481.7 1.70
Riko S19Rival 0.70.31.6 1.79
tysonmaint S26Contender 0.650.391.44 1.82
Sohl S26Challenger 0.440.411.67 1.83
Trudsky S17Challenger 0.620.382.25 1.87
Twoslot S14Challenger 0.620.52.0 1.88
Nuummite S23Veteran 0.640.61.66 1.90
Riko S25Rival 0.730.511.82 1.93

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.