MyTyranosaur

Veteran - Giant Squids - 9-7 (0.562)
65 OVR
overall rating (0–100) · 16 games · how is this calculated?
Overall rating 65/100 Tier dominance: 42nd (-0.2 SD) Projects as: Veteran 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
1
6% of games
Shot %
41%

Per-game production (percentile within Veteran)

StatPer gameTotalPercentile in tier
Points 355.5 5688
53rd
Goals 1.0 16
79th
Assists 0.31 5
4th
Saves 1.31 21
40th
Shots 2.44 39
35th
Demos 1.38 22
75th

League ranking (per game, among 1215 players)

StatPer gameOverall rankRank in Veteran
Points355.5 #378 / 1215 #64 / 170
Goals1.0 #132 / 1215 #21 / 170
Assists0.31 #848 / 1215 #130 / 170
Saves1.31 #460 / 1215 #81 / 170
Demos1.38 #184 / 1215 #31 / 170

Season projection

Low confidence

56% of the season is played (16 → ~28 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 (134 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 5688 9954 9948 9948 9846 – 10051
Goals 16 28 27 28 22 – 32
Assists 5 9 10 10 6 – 13
Saves 21 37 37 37 31 – 43
Shots 39 68 69 72 60 – 78
Demos 22 38 37 37 31 – 43
MVPs 1 2 2 2 1 – 4

Advanced stats (ballchasing)

Advanced OVR 85 /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 383.4
Avg boost 46.2
Boost stolen / game 460.1
% time at 0 boost 13.6%
Avg speed (uu/s) 1551.5
% supersonic 15.5%
% time high in air 4.5%
Avg distance to ball 3136.5
% time attacking third 20.7%
Demos / game 1.5
Demos taken / game 0.8
Shooting % 43.0%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S22Rival20 1.70.651.7 427
S23Elite18 0.50.721.61 362
S24Veteran40 0.880.481.15 390
S25Veteran56 0.80.681.52 403
S26Veteran12 1.00.331.5 383

Beyond RSC - lifetime & other play

External skill estimate: ~91 OVR Medium confidence — inferred from 87 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 65.
SourceGames RecordWin % Score/g
Lifetime (all)1133468-451 51% 391
RSC (official)11-0 100% 558
Non-RSC ranked 3v38732-35 48% 371
Non-RSC other1045435-416 51% 393

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/game1.0 0.91 0.89 – 0.95
Assists/game0.33 0.42 0.38 – 0.46
Saves/game1.5 1.41 1.33 – 1.57
Shots/game2.33 2.57 2.49 – 2.75

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
Kousei. S25Elite 0.910.461.52 1.09
N0TTopmarx S26Challenger 0.880.421.67 1.16
AveX InceptionZ S23Challenger 1.070.431.22 1.18
Froz3nSlack5r S20Contender 1.060.381.38 1.22
Pr9xk S22Rival 0.940.441.5 1.23
Lil Panda S23Master 0.90.451.55 1.25
AverageJoeyB S18Master 1.080.251.67 1.25
Mimetic S23Veteran 0.860.371.18 1.27
DEADLYFEET1001 S21Contender 0.890.351.19 1.28
ThatHomieGageTTV S23Prospect 0.90.451.57 1.29

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.