trock

Veteran - Mages - 16-17 (0.485)
65 OVR
overall rating (0–100) · 33 games · how is this calculated?
Overall rating 65/100 Tier dominance: 43rd (-0.2 SD) Projects as: Veteran 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
5
15% of games
Shot %
28%

Per-game production (percentile within Veteran)

StatPer gameTotalPercentile in tier
Points 372.88 12305
68th
Goals 0.64 21
26th
Assists 0.45 15
24th
Saves 1.94 64
93rd
Shots 2.27 75
29th
Demos 1.91 63
90th

League ranking (per game, among 1215 players)

StatPer gameOverall rankRank in Veteran
Points372.88 #262 / 1215 #44 / 170
Goals0.64 #644 / 1215 #100 / 170
Assists0.45 #637 / 1215 #103 / 170
Saves1.94 #43 / 1215 #9 / 170
Demos1.91 #57 / 1215 #13 / 170

Season projection

Medium confidence

56% of the season is played (33 → ~59 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 (145 games across 3 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 12305 22000 21904 21904 21744 – 22065
Goals 21 38 38 38 31 – 45
Assists 15 27 27 28 22 – 33
Saves 64 114 112 112 100 – 123
Shots 75 134 136 133 123 – 149
Demos 63 113 108 109 97 – 119
MVPs 5 9 9 9 6 – 12

Advanced stats (ballchasing)

Advanced OVR 84 /100

From 29 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 399.7
Avg boost 47.1
Boost stolen / game 616.7
% time at 0 boost 13.2%
Avg speed (uu/s) 1526.1
% supersonic 15.1%
% time high in air 3.9%
Avg distance to ball 2832.6
% time attacking third 21.5%
Demos / game 1.9
Demos taken / game 0.8
Shooting % 29.4%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S22Veteran4 0.250.51.5 325
S23Veteran48 0.670.621.65 362
S24Veteran60 0.730.521.6 357
S25Veteran37 0.570.731.46 357
S26Veteran29 0.620.521.9 400

Beyond RSC - lifetime & other play

External skill estimate: ~52 OVR High confidence — inferred from 1085 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)60102521-2305 52% 411
RSC (official)4512-19 39% 338
Non-RSC ranked 3v31085437-388 53% 308
Non-RSC other48802072-1898 52% 435

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/game0.62 0.61 0.56 – 0.73
Assists/game0.52 0.53 0.5 – 0.6
Saves/game1.9 1.76 1.64 – 1.87
Shots/game2.17 2.33 2.17 – 2.6

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
MagesticEagle1 S23Rival 0.640.531.64 0.98
Hirsch S24Master 0.570.61.8 1.08
Blaiyzur S26Veteran 0.730.462.0 1.26
Cuddlingus S21Prospect 0.40.51.9 1.26
mirage S25Master 0.550.411.97 1.26
(Jay) S24Master 0.560.561.75 1.29
VoodooMamaJuJu S25Prospect 0.610.551.76 1.38
DoorTK S22Master 0.750.51.62 1.38
takeeover S23Master 0.540.712.07 1.42
nelz S24Master 0.60.61.6 1.43

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.