Taiyo

Master - Reapers - 5-15 (0.250)
90 OVR
overall rating (0–100) · 20 games · how is this calculated?
Overall rating 90/100 Tier dominance: 47th (-0.3 SD) Projects as: Master 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
1
5% of games
Shot %
30%

Per-game production (percentile within Master)

StatPer gameTotalPercentile in tier
Points 374.0 7480
65th
Goals 0.7 14
44th
Assists 0.75 15
81st
Saves 1.5 30
55th
Shots 2.35 47
33rd
Demos 1.4 28
62nd

League ranking (per game, among 1213 players)

StatPer gameOverall rankRank in Master
Points374.0 #252 / 1213 #27 / 107
Goals0.7 #540 / 1213 #44 / 107
Assists0.75 #119 / 1213 #10 / 107
Saves1.5 #241 / 1213 #29 / 107
Demos1.4 #180 / 1213 #28 / 107

Season projection

Medium confidence

60% of the season is played (20 → ~33 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 (159 games across 3 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 7480 12342 12257 12257 12150 – 12365
Goals 14 23 23 24 19 – 28
Assists 15 25 24 24 19 – 28
Saves 30 50 49 49 42 – 56
Shots 47 78 78 80 70 – 87
Demos 28 46 45 45 39 – 52
MVPs 1 2 2 2 1 – 4

Advanced stats (ballchasing)

Advanced OVR 66 /100

From 20 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 383.5
Avg boost 52.1
Boost stolen / game 519.8
% time at 0 boost 9.7%
Avg speed (uu/s) 1543.9
% supersonic 14.5%
% time high in air 5.9%
Avg distance to ball 3085.1
% time attacking third 20.9%
Demos / game 1.4
Demos taken / game 1.3
Shooting % 31.2%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S23Elite47 0.720.431.79 395
S24Elite60 0.870.531.22 372
S25Elite52 0.941.081.12 362
S26Master20 0.70.751.5 383

Beyond RSC - lifetime & other play

External skill estimate: ~72 OVR High confidence — inferred from 945 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 90.
SourceGames RecordWin % Score/g
Lifetime (all)60262558-2347 52% 405
RSC (official)183-9 25% 325
Non-RSC ranked 3v3945365-350 51% 341
Non-RSC other50632190-1988 52% 417

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/game0.7 0.73 0.66 – 0.76
Assists/game0.75 0.71 0.64 – 0.75
Saves/game1.5 1.46 1.33 – 1.5
Shots/game2.35 2.46 2.34 – 2.57

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
Armo27 S17Veteran 0.730.641.46 0.69
Captain Daddy S22Veteran 0.810.771.46 0.80
Lucas S23Rival 0.770.61.53 0.87
josan S14Elite 0.690.811.38 0.94
bosco S24Master 0.50.751.33 0.96
tman S26Master 0.560.691.56 0.97
Justin S20Elite 0.70.751.5 0.99
Melted S26Master 0.610.791.39 1.00
Kri0s S25Master 0.760.71.54 1.00
Lil Panda S22Master 0.840.611.33 1.00

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.