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Prospect - Gloom - 7-29 (0.194)
16 OVR
overall rating (0–100) · 36 games · how is this calculated?
Overall rating 16/100 Tier dominance: 3rd (-1.8 SD) Projects as: Contender ↓ 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
2
6% of games
Shot %
30%

Per-game production (percentile within Prospect)

StatPer gameTotalPercentile in tier
Points 260.67 9384
12th
Goals 0.47 17
14th
Assists 0.44 16
34th
Saves 0.81 29
9th
Shots 1.58 57
6th
Demos 0.47 17
16th

League ranking (per game, among 1215 players)

StatPer gameOverall rankRank in Prospect
Points260.67 #877 / 1215 #117 / 161
Goals0.47 #830 / 1215 #115 / 161
Assists0.44 #648 / 1215 #86 / 161
Saves0.81 #874 / 1215 #121 / 161
Demos0.47 #843 / 1215 #112 / 161

Season projection

High confidence

60% of the season is played (36 → ~60 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 (65 games across 3 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 9384 15640 15945 15945 15816 – 16074
Goals 17 28 29 28 24 – 35
Assists 16 27 27 27 22 – 32
Saves 29 48 50 50 43 – 57
Shots 57 95 99 97 88 – 109
Demos 17 28 30 30 24 – 36
MVPs 2 3 4 4 2 – 6

Advanced stats (ballchasing)

Advanced OVR 14 /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 331.2
Avg boost 43.0
Boost stolen / game 396.8
% time at 0 boost 13.7%
Avg speed (uu/s) 1432.6
% supersonic 7.9%
% time high in air 2.7%
Avg distance to ball 2770.4
% time attacking third 18.5%
Demos / game 0.4
Demos taken / game 0.7
Shooting % 33.9%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S21Challenger1 2.00.01.0 401
S22Challenger19 0.260.371.32 359
S23Challenger29 0.690.411.0 337
S24Challenger17 0.410.650.88 354
S25Challenger6 0.50.671.33 342
S26Prospect32 0.470.440.88 331

Beyond RSC - lifetime & other play

External skill estimate: ~25 OVR High confidence — inferred from 1020 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 16.
SourceGames RecordWin % Score/g
Lifetime (all)60712112-2587 45% 324
RSC (official)3410-10 50% 305
Non-RSC ranked 3v31020369-416 47% 265
Non-RSC other50171733-2161 45% 336

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/game0.47 0.5 0.46 – 0.56
Assists/game0.44 0.42 0.38 – 0.48
Saves/game0.88 0.92 0.77 – 1.02
Shots/game1.62 1.73 1.63 – 1.88

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
R00K46 S17Prospect 0.50.51.0 0.78
YERP_YERP02 S21Contender 0.50.50.93 0.88
waynswrld S26Contender 0.50.381.0 0.91
Slashfabo420 S17Amateur 0.620.490.92 0.96
S0UL09 S24Challenger 0.50.380.75 0.99
CharlieHarley_1 S20Prospect 0.460.480.82 1.01
Yung_itsu S20Contender 0.50.420.75 1.02
Celiaaaaah13 S20Prospect 0.510.420.73 1.03
xPrism S23Rival 0.620.471.06 1.08
FattyMcChef04 S25Contender 0.430.41.09 1.10

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.