Merk890

Rival - Quasars - 4-21 (0.160)
43 OVR
overall rating (0–100) · 25 games · how is this calculated?
Overall rating 43/100 Tier dominance: 2nd (-2.3 SD) Projects as: Challenger ↓ Below tier level Role: Anchor
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
0
0% of games
Shot %
23%

Per-game production (percentile within Rival)

StatPer gameTotalPercentile in tier
Points 299.36 7484
18th
Goals 0.52 13
19th
Assists 0.2 5
4th
Saves 1.4 35
58th
Shots 2.24 56
27th
Demos 0.28 7
4th

League ranking (per game, among 1215 players)

StatPer gameOverall rankRank in Rival
Points299.36 #758 / 1215 #111 / 164
Goals0.52 #786 / 1215 #110 / 164
Assists0.2 #909 / 1215 #126 / 164
Saves1.4 #355 / 1215 #56 / 164
Demos0.28 #915 / 1215 #130 / 164

Season projection

Medium confidence

56% of the season is played (25 → ~44 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 (90 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 7484 13172 13365 13365 13241 – 13488
Goals 13 23 24 24 19 – 29
Assists 5 9 10 12 7 – 14
Saves 35 62 61 61 53 – 70
Shots 56 99 100 100 89 – 110
Demos 7 12 16 12 11 – 21
MVPs 0 0 1 1 0 – 2

Advanced stats (ballchasing)

Advanced OVR 3 /100

From 21 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 325.3
Avg boost 45.2
Boost stolen / game 309.1
% time at 0 boost 13.7%
Avg speed (uu/s) 1427.5
% supersonic 7.8%
% time high in air 3.5%
Avg distance to ball 3001.9
% time attacking third 18.0%
Demos / game 0.3
Demos taken / game 0.9
Shooting % 21.4%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S24Rival50 0.860.761.08 317
S25Rival40 0.650.571.4 323
S26Rival21 0.520.141.29 325

Beyond RSC - lifetime & other play

External skill estimate: ~95 OVR High confidence — inferred from 118 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 43.
SourceGames RecordWin % Score/g
Lifetime (all)1311492-514 49% 360
Non-RSC ranked 3v311834-61 36% 378
Non-RSC other1193458-453 50% 358

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/game0.52 0.6 0.5 – 0.63
Assists/game0.14 0.23 0.17 – 0.3
Saves/game1.29 1.19 1.08 – 1.3
Shots/game2.33 2.19 2.06 – 2.33

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
Scomps S26Challenger 0.550.181.46 0.95
Bender_Escobar S21Elite 0.50.121.12 0.95
Boods S25Elite 0.620.311.24 1.05
dino_chick3n S24Challenger 0.670.331.19 1.18
nizz S22Veteran 0.480.31.3 1.20
Mattixbigs S13Rival 0.50.191.25 1.22
TyTy S23Elite 0.420.081.08 1.22
CrispyWimper S18Contender 0.330.171.08 1.22
DrSkimMilk S22Veteran 0.620.291.08 1.22
pwapp S23Elite 0.670.171.17 1.25

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.