Styk75

Amateur - Dik-diks - 13-13 (0.500)
2 OVR
overall rating (0–100) · 26 games · how is this calculated?
Overall rating 2/100 Tier dominance: 48th (-0.1 SD) Projects as: Amateur Role: Anchor / Striker
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
15% of games
Shot %
46%

Per-game production (percentile within Amateur)

StatPer gameTotalPercentile in tier
Points 334.77 8704
66th
Goals 0.92 24
72nd
Assists 0.38 10
38th
Saves 1.31 34
87th
Shots 2.0 52
45th
Demos 0.42 11
26th

League ranking (per game, among 1215 players)

StatPer gameOverall rankRank in Amateur
Points334.77 #541 / 1215 #16 / 61
Goals0.92 #230 / 1215 #13 / 61
Assists0.38 #750 / 1215 #29 / 61
Saves1.31 #464 / 1215 #6 / 61
Demos0.42 #869 / 1215 #35 / 61

Season projection

High confidence

69% of the season is played (26 → ~38 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 (141 games across 5 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 8704 12721 12614 12614 12521 – 12707
Goals 24 35 35 33 30 – 40
Assists 10 15 15 15 12 – 18
Saves 34 50 48 48 43 – 54
Shots 52 76 76 75 69 – 83
Demos 11 16 17 16 13 – 21
MVPs 4 6 6 6 4 – 8

Advanced stats (ballchasing)

Advanced OVR 36 /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 218.7
Avg boost 55.3
Boost stolen / game 301.5
% time at 0 boost 5.1%
Avg speed (uu/s) 1288.1
% supersonic 4.4%
% time high in air 1.7%
Avg distance to ball 3218.9
% time attacking third 20.6%
Demos / game 0.5
Demos taken / game 0.7
Shooting % 49.0%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S20Amateur12 0.750.251.0 227
S21Contender14 0.50.640.43 251
S22Contender24 0.380.381.21 227
S24Amateur49 0.390.291.1 220
S25Amateur42 0.450.40.76 208
S26Amateur22 1.00.411.32 219

Beyond RSC - lifetime & other play

External skill estimate: ~5 OVR Medium confidence — inferred from 55 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 2.
SourceGames RecordWin % Score/g
Lifetime (all)36711202-1595 43% 257
RSC (official)13547-58 45% 269
Non-RSC ranked 3v35518-24 43% 232
Non-RSC other34811137-1513 43% 257

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

Medium 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/game1.0 0.9 0.78 – 0.96
Assists/game0.41 0.46 0.34 – 0.49
Saves/game1.32 1.17 1.08 – 1.27
Shots/game2.18 2.31 2.0 – 2.46

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
SuperThr33s S17Amateur 0.930.31.07 1.05
DgitlSickBoy S13Amateur 1.060.461.13 1.14
Subj3ct_Teonligas S23Challenger 0.860.431.23 1.50
Styk75 S17Amateur 0.860.251.07 1.60
Styk75 S18Amateur 0.840.340.84 1.62
XProteusX05 S23Amateur 0.930.51.1 1.70
MungsApprentice S23Amateur 0.690.311.34 1.73
XProteusX05 S22Amateur 1.020.450.79 1.75
Vortex3524 S23Rival 0.90.491.47 1.75
Redline S24Challenger 0.730.431.5 1.76

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.