Theman

Contender - Sirens - 15-14 (0.517)
8 OVR
overall rating (0–100) · 29 games · how is this calculated?
Overall rating 8/100 Tier dominance: 28th (-0.6 SD) Projects as: Contender 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
7% of games
Shot %
36%

Per-game production (percentile within Contender)

StatPer gameTotalPercentile in tier
Points 266.83 7738
16th
Goals 0.69 20
48th
Assists 0.41 12
31st
Saves 0.66 19
6th
Shots 1.93 56
23rd
Demos 0.55 16
31st

League ranking (per game, among 1215 players)

StatPer gameOverall rankRank in Contender
Points266.83 #867 / 1215 #93 / 134
Goals0.69 #577 / 1215 #58 / 134
Assists0.41 #718 / 1215 #77 / 134
Saves0.66 #919 / 1215 #104 / 134
Demos0.55 #780 / 1215 #77 / 134

Season projection

High confidence

64% of the season is played (29 → ~45 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 (111 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 7738 12007 12181 12181 12079 – 12283
Goals 20 31 31 31 26 – 36
Assists 12 19 19 18 15 – 23
Saves 19 29 31 32 26 – 37
Shots 56 87 88 87 80 – 97
Demos 16 25 26 25 21 – 31
MVPs 2 3 3 3 2 – 5

Advanced stats (ballchasing)

Advanced OVR 8 /100

From 25 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 354.3
Avg boost 45.6
Boost stolen / game 408.8
% time at 0 boost 11.9%
Avg speed (uu/s) 1341.8
% supersonic 7.3%
% time high in air 2.0%
Avg distance to ball 2880.0
% time attacking third 22.1%
Demos / game 0.4
Demos taken / game 1.2
Shooting % 35.3%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S22Contender39 0.740.311.26 329
S23Prospect20 0.60.51.1 330
S25Contender52 0.460.331.06 336
S26Contender25 0.720.40.6 354

Beyond RSC - lifetime & other play

External skill estimate: ~24 OVR High confidence — inferred from 806 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 8.
SourceGames RecordWin % Score/g
Lifetime (all)61232306-2437 49% 303
RSC (official)11837-53 41% 276
Non-RSC ranked 3v3806266-285 48% 263
Non-RSC other51992003-2099 49% 309

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 0.75 0.65 – 0.88
Assists/game0.4 0.43 0.4 – 0.5
Saves/game0.6 0.75 0.58 – 0.84
Shots/game2.04 2.18 1.98 – 2.37

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
Flying__Ferret S23Amateur 0.770.410.77 1.06
MasterOfDaTurtle S22Amateur 0.640.430.36 1.15
FULLBL00DN8V S22Amateur 0.70.430.7 1.18
ONLYSLIM2198 S17Amateur 0.790.430.5 1.20
Carno S19Contender 0.640.460.82 1.35
Brillo_padd S24Challenger 0.760.360.76 1.37
CBHIPHOP77 S14Amateur 0.670.420.72 1.42
iiHeapCheap S25Contender 0.940.390.61 1.52
Carno S26Contender 0.660.50.94 1.54
Carno S23Prospect 0.790.550.83 1.59

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.