Saucey

Premier - Jokers - 12-10 (0.545)
96 OVR
overall rating (0–100) · 22 games · how is this calculated?
Overall rating 96/100 Tier dominance: 20th (-0.9 SD) Projects as: Premier Role: Role player
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
2
9% of games
Shot %
21%

Per-game production (percentile within Premier)

StatPer gameTotalPercentile in tier
Points 267.59 5887
4th
Goals 0.41 9
10th
Assists 0.59 13
52nd
Saves 1.0 22
8th
Shots 1.95 43
4th
Demos 1.41 31
65th

League ranking (per game, among 1213 players)

StatPer gameOverall rankRank in Premier
Points267.59 #850 / 1213 #50 / 73
Goals0.41 #861 / 1213 #47 / 73
Assists0.59 #385 / 1213 #25 / 73
Saves1.0 #722 / 1213 #45 / 73
Demos1.41 #178 / 1213 #18 / 73

Season projection

Medium confidence

64% of the season is played (22 → ~34 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 (225 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 5887 9098 9403 9403 9313 – 9493
Goals 9 14 15 15 11 – 19
Assists 13 20 20 21 16 – 24
Saves 22 34 35 35 30 – 41
Shots 43 66 69 70 61 – 77
Demos 31 48 47 46 41 – 54
MVPs 2 3 3 3 2 – 5

Advanced stats (ballchasing)

Advanced OVR 27 /100

From 22 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 408.2
Avg boost 50.3
Boost stolen / game 647.0
% time at 0 boost 11.9%
Avg speed (uu/s) 1578.4
% supersonic 18.2%
% time high in air 6.3%
Avg distance to ball 2940.8
% time attacking third 21.3%
Demos / game 1.4
Demos taken / game 1.0
Shooting % 19.9%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S20Master20 0.60.51.05 423
S21Master44 0.590.81.27 422
S23Master51 0.670.551.18 412
S24Master50 0.580.861.34 437
S25Master60 0.970.751.48 425
S26Premier22 0.410.591.0 408

Beyond RSC - lifetime & other play

External skill estimate: ~69 OVR High confidence — inferred from 123 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 96.
SourceGames RecordWin % Score/g
Lifetime (all)31441344-1101 55% 365
RSC (official)2311-6 65% 360
Non-RSC ranked 3v312350-37 57% 336
Non-RSC other29981283-1058 55% 366

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/game0.41 0.54 0.49 – 0.6
Assists/game0.59 0.55 0.5 – 0.62
Saves/game1.0 1.0 0.96 – 1.12
Shots/game1.96 2.17 2.0 – 2.29

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
Kurrupshin S14Contender 0.550.551.0 0.82
FrostyBrew S22Master 0.50.621.25 0.97
DQ. S21Premier 0.50.50.88 1.16
Saucey S20Master 0.60.51.05 1.29
Fartnor S19Master 0.50.70.8 1.29
Ziggy. S20Rival 0.50.51.12 1.30
wall2wall3 S25Master 0.570.541.2 1.31
N0TTopmarx S22Challenger 0.650.521.04 1.31
WittingHalo64 S13Veteran 0.380.621.0 1.34
Ruin5terr S26Premier 0.560.781.11 1.34

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.