Mitzi

Prospect - Gloom - 7-19 (0.269)
18 OVR
overall rating (0–100) · 26 games · how is this calculated?
Overall rating 18/100 Tier dominance: 10th (-1.3 SD) Projects as: Prospect 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
8% of games
Shot %
24%

Per-game production (percentile within Prospect)

StatPer gameTotalPercentile in tier
Points 244.46 6356
6th
Goals 0.46 12
13th
Assists 0.38 10
23rd
Saves 0.88 23
17th
Shots 1.92 50
15th
Demos 0.42 11
9th

League ranking (per game, among 1215 players)

StatPer gameOverall rankRank in Prospect
Points244.46 #911 / 1215 #125 / 161
Goals0.46 #837 / 1215 #116 / 161
Assists0.38 #750 / 1215 #101 / 161
Saves0.88 #847 / 1215 #111 / 161
Demos0.42 #869 / 1215 #121 / 161

Season projection

High confidence

60% of the season is played (26 → ~43 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 (58 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 6356 10512 10856 10856 10751 – 10962
Goals 12 20 21 20 16 – 26
Assists 10 17 17 17 13 – 21
Saves 23 38 39 38 33 – 46
Shots 50 83 85 83 75 – 94
Demos 11 18 20 18 15 – 25
MVPs 2 3 4 4 2 – 6

Advanced stats (ballchasing)

Advanced OVR 5 /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 334.1
Avg boost 44.9
Boost stolen / game 521.9
% time at 0 boost 13.8%
Avg speed (uu/s) 1405.5
% supersonic 9.0%
% time high in air 2.8%
Avg distance to ball 3126.9
% time attacking third 22.8%
Demos / game 0.5
Demos taken / game 0.9
Shooting % 24.7%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S24Challenger35 0.490.460.97 319
S25Prospect23 0.560.520.96 335
S26Prospect22 0.550.410.96 334

Beyond RSC - lifetime & other play

External skill estimate: ~35 OVR High confidence — inferred from 1714 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 18.
SourceGames RecordWin % Score/g
Lifetime (all)51661922-2108 48% 301
RSC (official)9638-34 53% 293
Non-RSC ranked 3v31714618-672 48% 281
Non-RSC other33561266-1402 47% 312

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/game0.55 0.6 0.56 – 0.64
Assists/game0.41 0.43 0.4 – 0.5
Saves/game0.95 1.0 0.95 – 1.17
Shots/game2.09 2.14 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
FuLL-BLooD35 S24Amateur 0.580.421.17 0.95
Alpha Dingo S24Rival 0.60.50.98 1.05
S3 UniQ S25Rival 0.60.321.16 1.08
JoeExotic S21Rival 0.550.40.95 1.11
FULLBL00DN8V S25Amateur 0.650.350.84 1.11
AZoroARK S24Challenger 0.590.51.23 1.16
SirSqwilly S24Rival 0.560.61.04 1.16
Timbo S21Master 0.540.421.25 1.16
FULLBL00DN8V S22Amateur 0.70.430.7 1.21
MysticMax07 S26Contender 0.520.441.0 1.21

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.