Fanatic

Master - Battle Masters - 2-2 (0.500)
93 OVR
overall rating (0–100) · 4 games · how is this calculated?
Overall rating 93/100 Tier dominance: 77th (+0.6 SD) Projects as: Master 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
1
25% of games
Shot %
27%

Per-game production (percentile within Master)

StatPer gameTotalPercentile in tier
Points 300.5 1202
14th
Goals 0.75 3
47th
Assists 0.5 2
38th
Saves 0.75 3
5th
Shots 2.75 11
64th
Demos 1.75 7
82nd

League ranking (per game, among 1213 players)

StatPer gameOverall rankRank in Master
Points300.5 #739 / 1213 #67 / 107
Goals0.75 #443 / 1213 #37 / 107
Assists0.5 #509 / 1213 #42 / 107
Saves0.75 #877 / 1213 #74 / 107
Demos1.75 #80 / 1213 #13 / 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 (105 games across 4 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 1202 2104 2205 2205 2160 – 2250
Goals 3 5 5 6 3 – 7
Assists 2 4 4 3 2 – 5
Saves 3 5 6 7 4 – 9
Shots 11 19 19 20 15 – 23
Demos 7 12 11 11 8 – 14
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 446.4
Avg boost 57.0
Boost stolen / game 846.2
% time at 0 boost 8.5%
Avg speed (uu/s) 1645.2
% supersonic 23.4%
% time high in air 3.2%
Avg distance to ball 2944.0
% time attacking third 28.8%
Demos / game 1.8
Demos taken / game 1.5
Shooting % 27.3%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S21Master20 0.60.551.5 424
S22Elite16 1.120.751.75 443
S24Elite56 1.00.411.82 444
S25Master13 0.770.461.0 423
S26Master4 0.750.50.75 446

Beyond RSC - lifetime & other play

External skill estimate: ~93 OVR High confidence — inferred from 552 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 93.
SourceGames RecordWin % Score/g
Lifetime (all)60672777-2261 55% 458
RSC (official)5324-17 59% 410
Non-RSC ranked 3v3552230-197 54% 375
Non-RSC other54622523-2047 55% 467

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/game1.0 1.0 0.92 – 1.1
Assists/game0.41 0.51 0.45 – 0.57
Saves/game1.82 1.59 1.56 – 1.79
Shots/game3.0 3.0 2.88 – 3.19

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
Isaac13003 S22Master 1.10.451.7 1.09
R0cket S26Master 1.00.581.88 1.15
Idol S26Rival 0.970.451.64 1.26
Meloaw S25Elite 1.060.431.57 1.29
gxcid S24Rival 0.940.541.61 1.37
Static S24Premier 1.160.561.56 1.46
nezyy S21Premier 1.00.561.94 1.48
T3mp0- S26Challenger 1.250.51.62 1.50
Dread S24Elite 0.970.571.57 1.51
3W okeanoz S23Veteran 1.050.581.59 1.53

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.