Hyper

Rival - Tax Evaders - 6-8 (0.429)
55 OVR
overall rating (0–100) · 14 games · how is this calculated?
Overall rating 55/100 Tier dominance: 77th (+0.7 SD) Projects as: Rival Role: 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
2
14% of games
Shot %
33%

Per-game production (percentile within Rival)

StatPer gameTotalPercentile in tier
Points 353.36 4947
59th
Goals 1.14 16
94th
Assists 0.57 8
56th
Saves 0.71 10
2nd
Shots 3.43 48
96th
Demos 0.93 13
47th

League ranking (per game, among 1215 players)

StatPer gameOverall rankRank in Rival
Points353.36 #394 / 1215 #55 / 164
Goals1.14 #62 / 1215 #8 / 164
Assists0.57 #401 / 1215 #57 / 164
Saves0.71 #906 / 1215 #132 / 164
Demos0.93 #483 / 1215 #70 / 164

Season projection

Low confidence

56% of the season is played (14 → ~25 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 (160 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 4947 8834 8785 8785 8688 – 8883
Goals 16 29 27 27 22 – 32
Assists 8 14 14 14 10 – 18
Saves 10 18 20 20 15 – 25
Shots 48 86 82 83 73 – 91
Demos 13 23 24 22 19 – 29
MVPs 2 4 4 4 2 – 6

Advanced stats (ballchasing)

Advanced OVR 67 /100

From 12 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 352.0
Avg boost 50.9
Boost stolen / game 527.1
% time at 0 boost 10.8%
Avg speed (uu/s) 1496.4
% supersonic 11.5%
% time high in air 3.7%
Avg distance to ball 3022.4
% time attacking third 21.7%
Demos / game 0.9
Demos taken / game 0.8
Shooting % 34.8%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S20Rival8 1.00.380.62 385
S21Veteran12 0.330.671.42 352
S22Veteran21 0.380.621.24 365
S23Rival64 0.920.611.12 374
S25Rival55 0.840.510.87 363
S26Rival12 1.330.670.58 352

Beyond RSC - lifetime & other play

External skill estimate: ~81 OVR Low confidence — inferred from 37 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 55.
SourceGames RecordWin % Score/g
Lifetime (all)24651046-1003 51% 381
RSC (official)296-18 25% 316
Non-RSC ranked 3v33714-16 47% 355
Non-RSC other23991026-969 51% 382

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/game1.33 1.21 1.12 – 1.3
Assists/game0.67 0.63 0.5 – 0.73
Saves/game0.58 0.85 0.65 – 0.95
Shots/game3.33 3.03 2.94 – 3.33

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
Kflip11 S20Challenger 1.190.620.38 1.13
Jito1017 S24Amateur 1.30.750.75 1.36
Marc_Byy_8 S21Contender 1.410.640.86 1.38
noot S22Rival 1.380.50.5 1.46
Dizzy S20Master 1.120.50.75 1.47
AEB311 S21Elite 1.40.50.9 1.48
Sinjaaa. S23Prospect 1.250.70.82 1.50
DeathFletch S23Elite 1.070.730.83 1.55
Tokifyy S13Contender 1.20.750.65 1.56
dmxtt. S23Elite 1.20.671.05 1.60

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.