Wavy

Veteran - Werewolves - 14-21 (0.400)
65 OVR
overall rating (0–100) · 35 games · how is this calculated?
Overall rating 65/100 Tier dominance: 45th (-0.1 SD) Projects as: Veteran Role: Striker
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
5
14% of games
Shot %
29%

Per-game production (percentile within Veteran)

StatPer gameTotalPercentile in tier
Points 332.8 11648
28th
Goals 0.83 29
60th
Assists 0.43 15
20th
Saves 1.06 37
15th
Shots 2.86 100
69th
Demos 1.37 48
74th

League ranking (per game, among 1215 players)

StatPer gameOverall rankRank in Veteran
Points332.8 #561 / 1215 #98 / 170
Goals0.83 #355 / 1215 #54 / 170
Assists0.43 #685 / 1215 #109 / 170
Saves1.06 #721 / 1215 #116 / 170
Demos1.37 #194 / 1215 #35 / 170

Season projection

Medium confidence

56% of the season is played (35 → ~62 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 (204 games across 5 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 11648 20634 20740 20740 20584 – 20896
Goals 29 51 51 51 43 – 59
Assists 15 27 27 28 22 – 33
Saves 37 66 67 66 58 – 76
Shots 100 177 176 175 162 – 190
Demos 48 85 84 85 74 – 93
MVPs 5 9 9 9 6 – 12

Advanced stats (ballchasing)

Advanced OVR 43 /100

From 32 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 423.7
Avg boost 46.9
Boost stolen / game 564.9
% time at 0 boost 13.4%
Avg speed (uu/s) 1496.8
% supersonic 11.7%
% time high in air 4.5%
Avg distance to ball 2958.8
% time attacking third 19.9%
Demos / game 1.3
Demos taken / game 1.0
Shooting % 24.6%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S21Challenger12 1.250.421.33 430
S22Rival12 0.580.421.25 410
S23Rival62 0.810.61.23 410
S24Veteran57 0.910.71.1 400
S25Veteran61 0.690.611.2 415
S26Veteran32 0.720.411.09 424

Beyond RSC - lifetime & other play

External skill estimate: ~60 OVR High confidence — inferred from 2090 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 65.
SourceGames RecordWin % Score/g
Lifetime (all)78203124-2944 51% 363
RSC (official)3013-11 54% 343
Non-RSC ranked 3v32090759-788 49% 322
Non-RSC other57002352-2145 52% 378

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/game0.72 0.75 0.69 – 0.81
Assists/game0.41 0.46 0.38 – 0.49
Saves/game1.09 1.18 1.06 – 1.23
Shots/game2.78 2.67 2.54 – 2.8

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
BankShark S21Rival 0.670.330.92 0.99
Jmh187- S24Rival 0.840.511.05 1.04
Terx S26Veteran 0.680.51.0 1.06
BankShark S22Rival 0.790.51.17 1.09
Turtle_Supreme S23Rival 0.710.41.19 1.09
Kos S24Elite 0.750.521.25 1.10
Wavy S23Rival 0.810.61.23 1.10
D/\MN D/\NIEL S25Prospect 0.810.51.11 1.12
HannandGrenade S17Veteran 0.670.331.22 1.13
Donkeh . S26Rival 0.70.591.22 1.15

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.