Scotti

Elite - Gelato - 23-9 (0.719)
👤 Career - also played as scotti
84 OVR
overall rating (0–100) · 32 games · how is this calculated?
Overall rating 84/100 Tier dominance: 86th (+1.1 SD) Projects as: Elite Role: Playmaker / 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
8
25% of games
Shot %
34%

Per-game production (percentile within Elite)

StatPer gameTotalPercentile in tier
Points 388.94 12446
78th
Goals 0.94 30
78th
Assists 0.75 24
79th
Saves 1.28 41
36th
Shots 2.78 89
67th
Demos 0.81 26
29th

League ranking (per game, among 1215 players)

StatPer gameOverall rankRank in Elite
Points388.94 #167 / 1215 #29 / 179
Goals0.94 #211 / 1215 #27 / 179
Assists0.75 #116 / 1215 #22 / 179
Saves1.28 #488 / 1215 #82 / 179
Demos0.81 #587 / 1215 #89 / 179

Season projection

Medium confidence

56% of the season is played (32 → ~57 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 (168 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 12446 22169 21998 21998 21838 – 22157
Goals 30 53 53 52 45 – 60
Assists 24 43 42 42 35 – 49
Saves 41 73 74 73 64 – 83
Shots 89 159 157 157 144 – 171
Demos 26 46 48 48 40 – 55
MVPs 8 14 14 14 10 – 18

Advanced stats (ballchasing)

Advanced OVR 77 /100

From 28 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 362.8
Avg boost 45.8
Boost stolen / game 586.9
% time at 0 boost 15.1%
Avg speed (uu/s) 1506.5
% supersonic 13.2%
% time high in air 5.1%
Avg distance to ball 3065.6
% time attacking third 22.8%
Demos / game 0.8
Demos taken / game 1.0
Shooting % 37.9%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S21Master16 0.310.51.0 392
S22Elite8 0.50.50.88 368
S23Elite56 0.950.961.46 383
S24Master26 0.540.381.38 375
S25Elite62 0.630.691.14 367
S26Elite28 1.00.751.14 363

Beyond RSC - lifetime & other play

External skill estimate: ~61 OVR High confidence — inferred from 886 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 84.
SourceGames RecordWin % Score/g
Lifetime (all)76623231-2865 53% 372
RSC (official)199-6 60% 324
Non-RSC ranked 3v3886343-341 50% 322
Non-RSC other67572879-2518 53% 379

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/game0.31 0.5 0.38 – 0.62
Assists/game0.5 0.5 0.46 – 0.56
Saves/game1.0 1.0 0.94 – 1.17
Shots/game2.0 2.13 1.93 – 2.3

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
Trav S17Prospect 0.380.51.0 1.52
Karistafir al-nadim S24Premier 0.580.420.75 1.82
Dub_Dill S26Elite 0.330.40.73 1.82
huday S23Elite 0.380.51.25 1.83
OsoGhost S18Rival 0.560.611.17 1.85
WittingHalo64 S13Veteran 0.380.621.0 1.90
Goose S23Veteran 0.650.480.96 1.92
lordpinhead S14Veteran 0.250.51.0 1.96
jj.dunbar S21Veteran 0.670.440.83 1.97
kyou S26Challenger 0.670.521.33 2.01

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.