Cloudburst

Elite - Orochi - 17-15 (0.531)
77 OVR
overall rating (0–100) · 32 games · how is this calculated?
Overall rating 77/100 Tier dominance: 30th (-0.6 SD) Projects as: Elite 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
4
12% of games
Shot %
28%

Per-game production (percentile within Elite)

StatPer gameTotalPercentile in tier
Points 362.84 11611
55th
Goals 0.75 24
43rd
Assists 0.41 13
19th
Saves 1.72 55
85th
Shots 2.66 85
56th
Demos 1.0 32
50th

League ranking (per game, among 1215 players)

StatPer gameOverall rankRank in Elite
Points362.84 #320 / 1215 #58 / 179
Goals0.75 #455 / 1215 #70 / 179
Assists0.41 #723 / 1215 #105 / 179
Saves1.72 #102 / 1215 #17 / 179
Demos1.0 #387 / 1215 #57 / 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 (101 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 11611 20682 20641 20641 20485 – 20796
Goals 24 43 43 44 36 – 50
Assists 13 23 24 24 19 – 29
Saves 55 98 96 96 86 – 107
Shots 85 151 151 152 138 – 164
Demos 32 57 57 58 49 – 66
MVPs 4 7 7 7 4 – 10

Advanced stats (ballchasing)

Advanced OVR 60 /100

From 32 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 418.7
Avg boost 49.9
Boost stolen / game 552.8
% time at 0 boost 12.8%
Avg speed (uu/s) 1545.0
% supersonic 16.7%
% time high in air 5.6%
Avg distance to ball 2999.1
% time attacking third 18.8%
Demos / game 1.0
Demos taken / game 1.4
Shooting % 30.8%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S23Elite48 1.020.621.44 416
S24Elite53 0.790.421.4 431
S26Elite32 0.720.471.88 419

Beyond RSC - lifetime & other play

External skill estimate: ~54 OVR High confidence — inferred from 1478 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 77.
SourceGames RecordWin % Score/g
Lifetime (all)34671315-1378 49% 366
RSC (official)218-9 47% 361
Non-RSC ranked 3v31478523-574 48% 311
Non-RSC other1968784-795 50% 408

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/game0.72 0.73 0.67 – 0.77
Assists/game0.47 0.51 0.43 – 0.57
Saves/game1.88 1.79 1.71 – 1.87
Shots/game2.53 2.5 2.41 – 2.6

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
MasonJar S24Rival 0.620.541.85 0.81
veil._ S20Elite 0.750.52.0 0.87
BigGreenRL S24Veteran 0.730.571.68 1.02
Skulzy9 S23Elite 0.60.511.71 1.03
IMOLDGREG67 S25Master 0.690.331.64 1.03
Infinite S24Master 0.690.551.74 1.09
Skriviere S23Veteran 0.830.51.83 1.10
Stingray S25Elite 0.760.581.7 1.16
luckyy.12 S22Veteran 0.540.611.81 1.16
SgtPickle S17Master 0.780.652.04 1.17

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.