Yoza

Veteran - Werewolves - 4-9 (0.308)
68 OVR
overall rating (0–100) · 13 games · how is this calculated?
Overall rating 68/100 Tier dominance: 65th (+0.3 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
23% of games
Shot %
22%

Per-game production (percentile within Veteran)

StatPer gameTotalPercentile in tier
Points 344.62 4480
43rd
Goals 0.69 9
35th
Assists 0.38 5
14th
Saves 1.54 20
69th
Shots 3.15 41
85th
Demos 1.62 21
86th

League ranking (per game, among 1215 players)

StatPer gameOverall rankRank in Veteran
Points344.62 #460 / 1215 #78 / 170
Goals0.69 #572 / 1215 #88 / 170
Assists0.38 #750 / 1215 #117 / 170
Saves1.54 #218 / 1215 #42 / 170
Demos1.62 #107 / 1215 #19 / 170

Season projection

Low confidence

56% of the season is played (13 → ~23 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 (123 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 4480 7926 7962 7962 7870 – 8054
Goals 9 16 16 17 12 – 20
Assists 5 9 10 9 6 – 13
Saves 20 35 35 34 29 – 41
Shots 41 73 70 72 62 – 79
Demos 21 37 35 35 29 – 41
MVPs 3 5 5 5 3 – 7

Advanced stats (ballchasing)

Advanced OVR 40 /100

From 14 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 417.6
Avg boost 46.0
Boost stolen / game 560.6
% time at 0 boost 17.6%
Avg speed (uu/s) 1540.1
% supersonic 16.1%
% time high in air 3.9%
Avg distance to ball 2943.1
% time attacking third 23.9%
Demos / game 1.5
Demos taken / game 1.2
Shooting % 21.7%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S20Elite4 1.00.51.25 431
S23Elite4 0.750.250.5 440
S24Veteran62 0.920.391.16 439
S25Veteran61 0.970.661.46 435
S26Veteran14 0.640.361.43 418

Beyond RSC - lifetime & other play

External skill estimate: ~71 OVR High confidence — inferred from 103 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 68.
SourceGames RecordWin % Score/g
Lifetime (all)2222756-973 44% 343
RSC (official)5722-19 54% 341
Non-RSC ranked 3v310346-28 62% 339
Non-RSC other2062688-926 43% 343

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/game0.64 0.72 0.62 – 0.75
Assists/game0.36 0.49 0.43 – 0.51
Saves/game1.43 1.38 1.3 – 1.5
Shots/game3.0 2.76 2.62 – 2.85

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
FuDaah S22Veteran 0.740.451.33 1.29
Roman. S17Premier 0.620.381.62 1.31
Diamond ^.^ S23Master 0.720.541.46 1.33
GreenSleeves S26Premier 0.890.461.32 1.35
janixity. S23Veteran 0.740.491.27 1.39
TrytonsShadow95 S24Prospect 0.670.421.33 1.39
Jake S24Veteran 0.840.511.44 1.42
Car. S22Veteran 0.750.431.29 1.43
Leonis S19Premier 0.380.51.38 1.45
Yoza S19Elite 0.920.421.25 1.46

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.