Python

Master - FA - 2-2 (0.500)
90 OVR
overall rating (0–100) · 4 games · how is this calculated?
Overall rating 90/100 Tier dominance: 45th (-0.4 SD) Projects as: Master Role: Playmaker
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
25% of games
Shot %
22%

Per-game production (percentile within Master)

StatPer gameTotalPercentile in tier
Points 318.25 1273
22nd
Goals 0.5 2
13th
Assists 0.75 3
81st
Saves 1.5 6
55th
Shots 2.25 9
24th
Demos 0.0 0
0th

League ranking (per game, among 1213 players)

StatPer gameOverall rankRank in Master
Points318.25 #649 / 1213 #61 / 107
Goals0.5 #771 / 1213 #65 / 107
Assists0.75 #119 / 1213 #10 / 107
Saves1.5 #241 / 1213 #29 / 107
Demos0.0 #929 / 1213 #76 / 107

Season projection

Low confidence

60% of the season is played (4 → ~7 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 (206 games across 5 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 1273 2228 2294 2294 2248 – 2339
Goals 2 4 4 4 2 – 6
Assists 3 5 5 5 3 – 7
Saves 6 10 10 11 7 – 13
Shots 9 16 16 17 12 – 20
Demos 0 0 2 1 0 – 5
MVPs 1 2 2 2 1 – 3

Advanced stats (ballchasing)

From 4 ballchasing replays (matches + scrims). Not enough replays for an Advanced OVR yet.

Boost / min 351.4
Avg boost 45.5
Boost stolen / game 475.5
% time at 0 boost 13.7%
Avg speed (uu/s) 1469.7
% supersonic 9.9%
% time high in air 3.0%
Avg distance to ball 3114.2
% time attacking third 21.9%
Demos / game 0.0
Demos taken / game 1.8
Shooting % 22.2%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S20Master2 0.00.50.0 359
S21Master36 0.640.391.42 349
S22Master21 0.710.291.24 337
S23Elite56 0.450.451.59 339
S24Elite49 1.120.671.53 355
S25Master44 0.770.51.59 336
S26Master4 0.50.751.5 351

Beyond RSC - lifetime & other play

External skill estimate: ~76 OVR High confidence — inferred from 3222 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 90.
SourceGames RecordWin % Score/g
Lifetime (all)68992583-2733 49% 352
RSC (official)2811-7 61% 384
Non-RSC ranked 3v332221265-1222 51% 347
Non-RSC other36491307-1504 46% 357

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/game0.45 0.56 0.48 – 0.65
Assists/game0.45 0.49 0.46 – 0.53
Saves/game1.59 1.59 1.44 – 1.7
Shots/game2.64 2.52 2.41 – 2.62

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
Nebulade S22Elite 0.560.51.75 0.91
M S26Rival 0.620.381.46 0.99
SSpekky S26Master 0.520.521.71 1.07
Stingray S23Elite 0.440.521.78 1.09
SWZYY GN S24Challenger 0.550.571.45 1.10
Saucy Rexy S26Master 0.730.421.58 1.10
Blun S25Rival 0.620.491.36 1.18
Ninjatron S25Veteran 0.670.531.61 1.19
flamethrowr S18Elite 0.560.381.75 1.19
Squatch70 S22Challenger 0.560.481.63 1.24

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.