lone wolf

Prospect - Tanuki - 18-12 (0.600)
26 OVR
overall rating (0–100) · 30 games · how is this calculated?
Overall rating 26/100 Tier dominance: 71st (+0.5 SD) Projects as: Prospect Role: 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
7
23% of games
Shot %
26%

Per-game production (percentile within Prospect)

StatPer gameTotalPercentile in tier
Points 335.3 10059
52nd
Goals 0.7 21
41st
Assists 0.9 27
94th
Saves 1.2 36
50th
Shots 2.73 82
74th
Demos 0.6 18
25th

League ranking (per game, among 1215 players)

StatPer gameOverall rankRank in Prospect
Points335.3 #536 / 1215 #64 / 161
Goals0.7 #553 / 1215 #77 / 161
Assists0.9 #45 / 1215 #8 / 161
Saves1.2 #573 / 1215 #65 / 161
Demos0.6 #751 / 1215 #99 / 161

Season projection

High confidence

60% of the season is played (30 → ~50 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 (87 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 10059 16765 16745 16745 16616 – 16875
Goals 21 35 35 37 29 – 41
Assists 27 45 43 43 37 – 50
Saves 36 60 60 59 52 – 68
Shots 82 137 135 137 124 – 147
Demos 18 30 31 29 26 – 37
MVPs 7 12 11 11 8 – 15

Advanced stats (ballchasing)

Advanced OVR 12 /100

From 28 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 281.9
Avg boost 51.1
Boost stolen / game 445.0
% time at 0 boost 7.4%
Avg speed (uu/s) 1411.7
% supersonic 7.2%
% time high in air 2.5%
Avg distance to ball 3038.2
% time attacking third 21.8%
Demos / game 0.6
Demos taken / game 1.1
Shooting % 22.7%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S24Prospect39 0.970.361.13 267
S25Prospect48 1.020.770.81 274
S26Prospect28 0.710.931.21 282

Beyond RSC - lifetime & other play

External skill estimate: ~40 OVR High confidence — inferred from 1569 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 26.
SourceGames RecordWin % Score/g
Lifetime (all)60392234-2454 48% 323
RSC (official)13258-49 54% 338
Non-RSC ranked 3v31569575-607 49% 289
Non-RSC other43381601-1798 47% 336

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/game0.71 0.75 0.7 – 0.86
Assists/game0.93 0.75 0.72 – 0.85
Saves/game1.21 1.12 1.03 – 1.33
Shots/game2.86 2.67 2.56 – 2.73

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
seandfeeney S26Contender 0.750.81.2 1.14
Gambit S26Contender 0.791.01.29 1.17
Phteven S14Prospect 0.830.831.08 1.21
Dom TuT S19Prospect 0.751.01.25 1.24
Abeillonnaise S26Prospect 1.00.861.14 1.28
Alextross S25Prospect 0.930.811.21 1.29
Lord Ironskull S13Master 0.830.831.0 1.38
Gmoney S25Prospect 0.80.741.02 1.46
Velo S25Challenger 0.720.921.02 1.48
EvilSuperman_ S21Amateur 0.880.961.33 1.48

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.