Ditto

Master - Nightmare - 6-11 (0.353)
86 OVR
overall rating (0–100) · 17 games · how is this calculated?
Overall rating 86/100 Tier dominance: 3rd (-1.7 SD) Projects as: Elite ↓ Below tier level 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
1
6% of games
Shot %
20%

Per-game production (percentile within Master)

StatPer gameTotalPercentile in tier
Points 281.88 4792
10th
Goals 0.35 6
4th
Assists 0.24 4
10th
Saves 1.29 22
37th
Shots 1.76 30
10th
Demos 1.65 28
77th

League ranking (per game, among 1215 players)

StatPer gameOverall rankRank in Master
Points281.88 #822 / 1215 #70 / 107
Goals0.35 #891 / 1215 #75 / 107
Assists0.24 #904 / 1215 #70 / 107
Saves1.29 #475 / 1215 #49 / 107
Demos1.65 #100 / 1215 #18 / 107

Season projection

Low confidence

60% of the season is played (17 → ~28 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 (173 games across 6 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 4792 7893 8130 8130 8041 – 8219
Goals 6 10 11 12 8 – 15
Assists 4 7 8 8 5 – 10
Saves 22 36 36 37 31 – 42
Shots 30 49 52 53 45 – 59
Demos 28 46 45 43 38 – 51
MVPs 1 2 2 2 1 – 3

Advanced stats (ballchasing)

Advanced OVR 18 /100

From 17 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 353.6
Avg boost 51.7
Boost stolen / game 578.2
% time at 0 boost 9.9%
Avg speed (uu/s) 1478.2
% supersonic 13.3%
% time high in air 5.5%
Avg distance to ball 2973.0
% time attacking third 21.7%
Demos / game 1.6
Demos taken / game 1.3
Shooting % 22.1%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S20Elite13 1.080.621.23 419
S21Elite24 0.670.621.33 412
S22Elite12 0.830.581.17 379
S23Elite39 0.490.511.67 404
S24Elite58 1.120.661.59 409
S25Master27 0.670.481.59 372
S26Master17 0.350.241.29 354

Beyond RSC - lifetime & other play

External skill estimate: ~67 OVR High confidence — inferred from 762 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 86.
SourceGames RecordWin % Score/g
Lifetime (all)64612612-2567 50% 400
RSC (official)3515-16 48% 388
Non-RSC ranked 3v3762251-300 46% 333
Non-RSC other56642346-2251 51% 409

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

Medium 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/game0.35 0.47 0.38 – 0.54
Assists/game0.23 0.37 0.28 – 0.43
Saves/game1.29 1.32 1.12 – 1.42
Shots/game1.76 1.92 1.8 – 2.0

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
Steem S26Veteran 0.330.331.11 1.11
Reccos007 S14Rival 0.420.251.17 1.29
Super S25Premier 0.480.461.42 1.34
Kri0s S17Master 0.50.121.12 1.62
sturmo. S23Elite 0.550.271.18 1.64
N0TTopmarx S25Rival 0.430.341.57 1.67
ExecutivePowers S25Veteran 0.460.321.46 1.69
Gaw1f3d S23Veteran 0.630.341.09 1.74
LGUPorkers S17Contender 0.570.361.14 1.75
xLunarWolfx108 S25Contender 0.50.381.38 1.76

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.