Smoky.

Prospect - Piranhas - 11-17 (0.393)
👤 Career - also played as fireburner.
23 OVR
overall rating (0–100) · 28 games · how is this calculated?
Overall rating 23/100 Tier dominance: 48th (-0.1 SD) Projects as: Prospect 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
18% of games
Shot %
31%

Per-game production (percentile within Prospect)

StatPer gameTotalPercentile in tier
Points 329.46 9225
44th
Goals 0.71 20
44th
Assists 0.54 15
52nd
Saves 1.25 35
55th
Shots 2.32 65
44th
Demos 1.25 35
79th

League ranking (per game, among 1215 players)

StatPer gameOverall rankRank in Prospect
Points329.46 #588 / 1215 #74 / 161
Goals0.71 #540 / 1215 #73 / 161
Assists0.54 #469 / 1215 #63 / 161
Saves1.25 #513 / 1215 #60 / 161
Demos1.25 #237 / 1215 #26 / 161

Season projection

High confidence

60% of the season is played (28 → ~47 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 (80 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 9225 15485 15490 15490 15364 – 15615
Goals 20 34 34 36 28 – 39
Assists 15 25 25 26 20 – 30
Saves 35 59 59 58 51 – 66
Shots 65 109 109 112 99 – 120
Demos 35 59 57 58 50 – 65
MVPs 5 8 8 8 5 – 11

Advanced stats (ballchasing)

Advanced OVR 48 /100

From 26 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 410.4
Avg boost 54.7
Boost stolen / game 486.7
% time at 0 boost 10.4%
Avg speed (uu/s) 1500.2
% supersonic 12.5%
% time high in air 3.5%
Avg distance to ball 3042.1
% time attacking third 18.3%
Demos / game 1.2
Demos taken / game 1.2
Shooting % 31.8%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S24Prospect33 0.970.481.15 428
S25Prospect47 1.130.851.19 437
S26Prospect26 0.770.581.23 410

Beyond RSC - lifetime & other play

External skill estimate: ~52 OVR Low confidence — inferred from 39 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 23.
SourceGames RecordWin % Score/g
Lifetime (all)775350-298 54% 385
RSC (official)2714-11 56% 374
Non-RSC ranked 3v33915-18 45% 308
Non-RSC other709321-269 54% 390

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/game0.77 0.71 0.67 – 0.79
Assists/game0.58 0.56 0.5 – 0.6
Saves/game1.23 1.2 1.14 – 1.26
Shots/game2.35 2.3 2.17 – 2.52

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
Stone-Dog Millionaire S25Veteran 0.720.551.2 0.80
Wavy S25Veteran 0.690.611.2 0.88
Danub S24Rival 0.710.591.31 0.92
Pablo v2 S20Prospect 0.680.571.26 0.94
BankShark S22Rival 0.790.51.17 0.96
LoonaKami S25Elite 0.760.491.33 0.99
MateItsNate S13Master 0.670.51.08 0.99
Beretta S25Elite 0.770.581.1 1.00
vTheTankMan S24Elite 0.650.551.15 1.02
Joxtrot S22Master 0.820.661.41 1.03

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.