Terx

Veteran - Werewolves - 11-15 (0.423)
65 OVR
overall rating (0–100) · 26 games · how is this calculated?
Overall rating 65/100 Tier dominance: 47th (-0.1 SD) Projects as: Veteran Role: Role player
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
3
12% of games
Shot %
24%

Per-game production (percentile within Veteran)

StatPer gameTotalPercentile in tier
Points 321.23 8352
18th
Goals 0.69 18
35th
Assists 0.58 15
51st
Saves 1.0 26
10th
Shots 2.92 76
74th
Demos 1.69 44
88th

League ranking (per game, among 1215 players)

StatPer gameOverall rankRank in Veteran
Points321.23 #642 / 1215 #111 / 170
Goals0.69 #572 / 1215 #88 / 170
Assists0.58 #395 / 1215 #67 / 170
Saves1.0 #738 / 1215 #120 / 170
Demos1.69 #94 / 1215 #17 / 170

Season projection

Medium confidence

56% of the season is played (26 → ~46 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 (228 games across 6 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 8352 14777 14931 14931 14800 – 15062
Goals 18 32 32 32 26 – 38
Assists 15 27 27 27 21 – 32
Saves 26 46 48 47 40 – 55
Shots 76 134 133 131 121 – 145
Demos 44 78 75 73 66 – 84
MVPs 3 5 5 5 3 – 8

Advanced stats (ballchasing)

Advanced OVR 37 /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 401.8
Avg boost 46.4
Boost stolen / game 522.4
% time at 0 boost 13.3%
Avg speed (uu/s) 1512.4
% supersonic 11.1%
% time high in air 4.6%
Avg distance to ball 2898.5
% time attacking third 21.3%
Demos / game 1.5
Demos taken / game 0.8
Shooting % 22.3%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S20Veteran10 0.60.41.9 380
S21Veteran20 0.850.651.05 393
S22Veteran63 0.60.671.08 394
S23Veteran62 0.840.711.24 391
S24Elite18 0.330.391.33 378
S25Veteran55 0.580.561.22 382
S26Veteran22 0.680.51.0 402

Beyond RSC - lifetime & other play

External skill estimate: ~53 OVR High confidence — inferred from 504 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)44501848-1700 52% 341
RSC (official)5421-27 44% 358
Non-RSC ranked 3v3504196-187 51% 311
Non-RSC other38921631-1486 52% 345

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/game0.68 0.75 0.69 – 0.81
Assists/game0.5 0.5 0.46 – 0.57
Saves/game1.0 1.11 1.02 – 1.18
Shots/game2.91 2.75 2.59 – 2.86

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
spposse S24Veteran 0.750.51.0 0.88
cel S19Veteran 0.750.51.12 0.91
BankShark S21Rival 0.670.330.92 0.94
Wavy S26Veteran 0.720.411.09 1.06
Wallaby Gangsta S25Rival 0.80.470.94 1.06
Jmh187- S24Rival 0.840.511.05 1.07
6 lbs of Yeet S25Elite 0.590.411.12 1.11
Donkeh . S26Rival 0.70.591.22 1.13
Wavy S23Rival 0.810.61.23 1.17
Kos S24Elite 0.750.521.25 1.18

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.