Slayerof666

Challenger - Panda Bears - 6-15 (0.286)
32 OVR
overall rating (0–100) · 21 games · how is this calculated?
Overall rating 32/100 Tier dominance: 17th (-0.9 SD) Projects as: Challenger Role: Role player
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
2
10% of games
Shot %
43%

Per-game production (percentile within Challenger)

StatPer gameTotalPercentile in tier
Points 307.24 6452
25th
Goals 0.76 16
52nd
Assists 0.29 6
11th
Saves 1.19 25
37th
Shots 1.76 37
5th
Demos 0.71 15
36th

League ranking (per game, among 1215 players)

StatPer gameOverall rankRank in Challenger
Points307.24 #717 / 1215 #100 / 166
Goals0.76 #449 / 1215 #64 / 166
Assists0.29 #860 / 1215 #119 / 166
Saves1.19 #583 / 1215 #84 / 166
Demos0.71 #668 / 1215 #84 / 166

Season projection

Medium confidence

60% of the season is played (21 → ~35 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 (147 games across 6 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 6452 10753 10885 10885 10781 – 10989
Goals 16 27 27 28 22 – 32
Assists 6 10 11 11 7 – 14
Saves 25 42 42 41 36 – 49
Shots 37 62 65 66 56 – 73
Demos 15 25 26 28 21 – 31
MVPs 2 3 4 4 2 – 6

Advanced stats (ballchasing)

Advanced OVR 45 /100

From 17 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 378.2
Avg boost 47.7
Boost stolen / game 411.9
% time at 0 boost 10.7%
Avg speed (uu/s) 1530.2
% supersonic 12.4%
% time high in air 3.8%
Avg distance to ball 3037.7
% time attacking third 19.0%
Demos / game 0.7
Demos taken / game 1.5
Shooting % 45.3%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S20Challenger8 1.00.250.62 341
S21Challenger20 1.150.651.15 342
S22Challenger16 0.750.311.25 363
S23Challenger60 1.130.631.07 405
S24Rival26 1.00.380.92 393
S25Rival17 0.760.291.24 372
S26Challenger17 0.820.181.24 378

Beyond RSC - lifetime & other play

External skill estimate: ~44 OVR High confidence — inferred from 222 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)34291381-1311 51% 329
RSC (official)5027-18 60% 345
Non-RSC ranked 3v322279-84 48% 296
Non-RSC other31571275-1209 51% 331

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/game0.82 0.75 0.67 – 0.88
Assists/game0.18 0.28 0.19 – 0.34
Saves/game1.24 1.24 1.1 – 1.29
Shots/game1.65 2.05 1.91 – 2.25

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
Itchyramrod420TV S22Contender 0.730.241.18 0.86
Null.Gamer S19Elite 0.750.251.17 1.19
Angry-Hermit S25Contender 0.650.281.12 1.21
wolverine36535 S23Challenger 0.630.161.21 1.23
IAmHoba S14Prospect 0.670.171.17 1.25
M0rg S17Premier 0.880.381.0 1.32
Acryonix S22Veteran 1.00.121.38 1.34
Bad_Example S19Rival 0.810.191.31 1.38
KorusRay S23Prospect 0.880.120.94 1.38
Anonymouse S14Elite 0.820.271.46 1.39

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.