Chicken

Veteran - Werewolves - 13-21 (0.382)
62 OVR
overall rating (0–100) · 34 games · how is this calculated?
Overall rating 62/100 Tier dominance: 22nd (-0.7 SD) Projects as: Veteran 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
9% of games
Shot %
25%

Per-game production (percentile within Veteran)

StatPer gameTotalPercentile in tier
Points 360.79 12267
59th
Goals 0.65 22
27th
Assists 0.53 18
38th
Saves 1.56 53
71st
Shots 2.56 87
46th
Demos 1.09 37
57th

League ranking (per game, among 1215 players)

StatPer gameOverall rankRank in Veteran
Points360.79 #334 / 1215 #56 / 170
Goals0.65 #635 / 1215 #99 / 170
Assists0.53 #483 / 1215 #83 / 170
Saves1.56 #204 / 1215 #40 / 170
Demos1.09 #336 / 1215 #58 / 170

Season projection

Medium confidence

56% of the season is played (34 → ~60 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 (203 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 12267 21648 21614 21614 21456 – 21772
Goals 22 39 39 40 33 – 46
Assists 18 32 32 32 26 – 38
Saves 53 94 93 92 82 – 103
Shots 87 154 154 152 140 – 167
Demos 37 65 65 67 57 – 74
MVPs 3 5 6 6 3 – 8

Advanced stats (ballchasing)

Advanced OVR 36 /100

From 31 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 335.5
Avg boost 44.2
Boost stolen / game 557.1
% time at 0 boost 11.1%
Avg speed (uu/s) 1441.1
% supersonic 8.8%
% time high in air 4.7%
Avg distance to ball 2987.0
% time attacking third 21.7%
Demos / game 1.1
Demos taken / game 1.3
Shooting % 26.8%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S20Rival28 0.680.391.18 323
S21Rival8 0.50.252.12 321
S22Rival12 0.750.581.0 324
S23Rival61 1.070.661.15 337
S24Veteran60 0.670.451.48 340
S25Veteran34 0.50.561.29 343
S26Veteran31 0.610.551.52 335

Beyond RSC - lifetime & other play

External skill estimate: ~69 OVR High confidence — inferred from 1140 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 62.
SourceGames RecordWin % Score/g
Lifetime (all)68362902-2443 54% 425
RSC (official)3110-14 42% 331
Non-RSC ranked 3v31140430-417 51% 337
Non-RSC other56652462-2012 55% 443

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/game0.61 0.7 0.63 – 0.75
Assists/game0.55 0.52 0.46 – 0.57
Saves/game1.52 1.49 1.4 – 1.55
Shots/game2.61 2.44 2.35 – 2.7

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
Hype.56 S24Challenger 0.660.491.46 0.57
ShoddyWolfman S20Rival 0.640.591.27 0.85
DonYvan S23Rival 0.750.461.42 1.01
Dooober S24Elite 0.580.551.4 1.04
Tankersrul S22Challenger 0.60.551.55 1.12
pwapp S25Veteran 0.820.521.52 1.13
Unc Jeebs S24Rival 0.660.611.2 1.14
Arbartenn S18Veteran 0.750.621.5 1.16
mayor S25Challenger 0.70.731.36 1.16
ShoddyWolfman S23Rival 0.590.441.54 1.17

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.