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Veteran - Pump and Dump - 8-8 (0.500)
64 OVR
overall rating (0–100) · 16 games · how is this calculated?
Overall rating 64/100 Tier dominance: 38th (-0.4 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
19% of games
Shot %
38%

Per-game production (percentile within Veteran)

StatPer gameTotalPercentile in tier
Points 291.94 4671
8th
Goals 0.69 11
34th
Assists 0.56 9
46th
Saves 1.19 19
27th
Shots 1.81 29
7th
Demos 1.12 18
59th

League ranking (per game, among 1215 players)

StatPer gameOverall rankRank in Veteran
Points291.94 #792 / 1215 #125 / 170
Goals0.69 #579 / 1215 #90 / 170
Assists0.56 #420 / 1215 #72 / 170
Saves1.19 #584 / 1215 #98 / 170
Demos1.12 #313 / 1215 #53 / 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 (82 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 4671 8174 8423 8423 8326 – 8519
Goals 11 19 20 20 15 – 24
Assists 9 16 16 15 12 – 20
Saves 19 33 34 34 28 – 40
Shots 29 51 54 54 46 – 62
Demos 18 32 31 30 26 – 37
MVPs 3 5 5 5 3 – 7

Advanced stats (ballchasing)

Advanced OVR 59 /100

From 16 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 394.6
Avg boost 49.7
Boost stolen / game 524.9
% time at 0 boost 9.9%
Avg speed (uu/s) 1530.9
% supersonic 17.5%
% time high in air 2.9%
Avg distance to ball 3104.4
% time attacking third 18.7%
Demos / game 1.1
Demos taken / game 0.8
Shooting % 40.0%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S20Elite2 0.01.51.0 396
S22Veteran27 0.780.261.04 395
S25Veteran55 0.80.581.36 385
S26Veteran16 0.690.561.19 395

Beyond RSC - lifetime & other play

External skill estimate: ~30 OVR Medium confidence — inferred from 76 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 64.
SourceGames RecordWin % Score/g
Lifetime (all)1436523-632 45% 339
RSC (official)269-12 43% 339
Non-RSC ranked 3v37627-23 54% 273
Non-RSC other1334487-597 45% 343

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/game0.69 0.69 0.6 – 0.75
Assists/game0.56 0.53 0.5 – 0.6
Saves/game1.19 1.26 1.15 – 1.37
Shots/game1.81 2.07 1.97 – 2.19

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
bradyK- S23Veteran 0.740.61.23 0.88
bradyK- S25Elite 0.50.541.23 0.97
SqueezySponge_ S23Challenger 0.60.41.17 1.14
Giltch3dd S25Contender 0.70.461.26 1.18
p4rka. S24Veteran 0.670.531.07 1.21
Gizmo S23Elite 0.60.521.33 1.26
dahc. S25Challenger 0.770.61.4 1.26
Best Cheerleader Dan! S20Elite 0.60.531.2 1.26
Turtle_Supreme S25Rival 0.630.441.14 1.30
Kingtutt97 S24Rival 0.760.611.37 1.32

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.