Bieles

Prospect - Tanuki - 18-11 (0.621)
23 OVR
overall rating (0–100) · 29 games · how is this calculated?
Overall rating 23/100 Tier dominance: 49th (+-0.0 SD) Projects as: Prospect 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
17% of games
Shot %
39%

Per-game production (percentile within Prospect)

StatPer gameTotalPercentile in tier
Points 339.21 9837
53rd
Goals 0.97 28
81st
Assists 0.48 14
41st
Saves 1.07 31
33rd
Shots 2.45 71
51st
Demos 0.59 17
24th

League ranking (per game, among 1215 players)

StatPer gameOverall rankRank in Prospect
Points339.21 #510 / 1215 #62 / 161
Goals0.97 #191 / 1215 #24 / 161
Assists0.48 #589 / 1215 #79 / 161
Saves1.07 #711 / 1215 #89 / 161
Demos0.59 #762 / 1215 #101 / 161

Season projection

High confidence

60% of the season is played (29 → ~48 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 (81 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 9837 16282 16247 16247 16120 – 16373
Goals 28 46 45 47 39 – 52
Assists 14 23 23 23 19 – 28
Saves 31 51 52 51 45 – 59
Shots 71 118 117 120 107 – 128
Demos 17 28 30 28 24 – 35
MVPs 5 8 8 8 5 – 11

Advanced stats (ballchasing)

Advanced OVR 31 /100

From 26 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 312.0
Avg boost 54.7
Boost stolen / game 387.8
% time at 0 boost 8.3%
Avg speed (uu/s) 1428.0
% supersonic 7.8%
% time high in air 3.3%
Avg distance to ball 3149.2
% time attacking third 19.0%
Demos / game 0.6
Demos taken / game 0.7
Shooting % 34.2%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S20Challenger27 0.820.481.07 301
S25Prospect54 1.130.520.85 306
S26Prospect26 0.920.51.08 312

Beyond RSC - lifetime & other play

External skill estimate: ~44 OVR High confidence — inferred from 168 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 23.
SourceGames RecordWin % Score/g
Lifetime (all)32681314-1248 51% 327
RSC (official)4824-12 67% 329
Non-RSC ranked 3v316868-59 54% 296
Non-RSC other30521222-1177 51% 329

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/game0.92 0.85 0.82 – 0.92
Assists/game0.5 0.48 0.46 – 0.54
Saves/game1.08 1.14 0.98 – 1.24
Shots/game2.5 2.41 2.27 – 2.62

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
MobBossCitrus S24Challenger 0.920.460.92 0.69
StoveMessiah S25Challenger 0.820.471.27 0.85
Mortal Frenzy S26Contender 0.830.50.92 0.85
Regal_King1 S25Amateur 1.00.420.98 0.87
ShazamPoof S22Rival 0.910.361.18 0.90
nizz S25Rival 0.770.471.2 0.91
Furian S17Amateur 1.020.541.0 0.97
The_Killerwon S25Rival 0.820.430.88 0.98
Auty RL S24Challenger 0.830.40.98 0.98
Dunnie14 S13Rival 0.750.51.25 0.99

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.