ASAPxLEG

Amateur - Dik-diks - 19-17 (0.528)
4 OVR
overall rating (0–100) · 36 games · how is this calculated?
Overall rating 4/100 Tier dominance: 72nd (+0.5 SD) Projects as: Amateur Role: Playmaker
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
6
17% of games
Shot %
36%

Per-game production (percentile within Amateur)

StatPer gameTotalPercentile in tier
Points 309.61 11146
60th
Goals 0.72 26
47th
Assists 0.56 20
68th
Saves 0.92 33
55th
Shots 2.03 73
49th
Demos 1.31 47
91st

League ranking (per game, among 1215 players)

StatPer gameOverall rankRank in Amateur
Points309.61 #704 / 1215 #19 / 61
Goals0.72 #521 / 1215 #25 / 61
Assists0.56 #434 / 1215 #14 / 61
Saves0.92 #831 / 1215 #21 / 61
Demos1.31 #221 / 1215 #4 / 61

Season projection

High confidence

69% of the season is played (36 → ~52 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 (172 games across 4 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 11146 16100 16062 16062 15957 – 16167
Goals 26 38 38 37 33 – 43
Assists 20 29 29 28 24 – 33
Saves 33 48 48 48 42 – 53
Shots 73 105 106 103 97 – 114
Demos 47 68 66 65 60 – 73
MVPs 6 9 9 9 6 – 11

Advanced stats (ballchasing)

Advanced OVR 41 /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 320.0
Avg boost 55.3
Boost stolen / game 446.8
% time at 0 boost 8.4%
Avg speed (uu/s) 1427.3
% supersonic 10.3%
% time high in air 2.6%
Avg distance to ball 3313.0
% time attacking third 20.8%
Demos / game 1.4
Demos taken / game 1.0
Shooting % 36.3%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S20Amateur4 0.50.250.25 188
S21Amateur4 0.00.750.5 213
S22Amateur49 0.780.450.9 253
S23Amateur42 0.480.210.88 305
S24Amateur51 0.490.530.88 271
S25Amateur30 0.470.371.0 298
S26Amateur32 0.750.590.97 320

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/game0.75 0.7 0.66 – 0.76
Assists/game0.59 0.58 0.48 – 0.64
Saves/game0.97 1.0 0.89 – 1.18
Shots/game2.09 2.11 2.07 – 2.22

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
hoyci S17Veteran 0.750.441.19 1.00
DinninDu S25Rival 0.670.441.11 1.12
Chis S17Veteran 0.780.671.22 1.15
DinninDu S21Rival 0.640.641.0 1.15
Casca . S24Prospect 0.820.51.11 1.16
Monteca S25Contender 0.770.431.16 1.17
SludgeMixFuzz S23Prospect 0.750.430.95 1.18
wolverine36535 S24Challenger 0.680.680.9 1.18
tempo_rl_ttv S24Amateur 0.780.390.89 1.19
Shea Butter S26Challenger 0.790.531.16 1.19

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.