Rigged Royale
AnalyzePlayersDecksCorrelationsMethodology

Not affiliated with, endorsed by, or investigated by Supercell. The game is probably not actually rigged. Probably.

Public methodology·Public player board·Top decks·Public correlations·Fan content under the Supercell Fan Content Policy.

THE DECK LAB

SCORE ANY DECK AGAINST THE LIVE META

Build a deck and the win-chance model measures it against the live meta, or search single-card swaps that raise its win rate. Below, the decks the model itself rates highest right now.

THE DECK LAB

CRAFT A DECK, MEASURE IT AGAINST THE META

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Cards
0/8
Avg elixir
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Special
0/3
Evo
0/2
Hero
0/2

Tap a card's EVO or HERO pill to equip a special form — 1 Evo, 1 Hero, plus 1 Wild slot either can take (3 max). The win-chance model scores evolutions; hero forms are shown for the build.

Score current deck against live meta.

500
50 · faster6,000 · full panel

Time

~3s est.

Actual coverage

100.0%

Experimental

Compare 144 single-card swaps.

120
24 · faster500 · max

Time

~29s est.

Actual coverage

100.0%

More decks increase meta coverage and runtime. Coverage comes from current live deck frequencies; times remain rough estimates.

121 cards

THE MODEL'S OWN RANKING

TOP DECKS ACCORDING TO THE WIN-CHANCE MODEL

RankedLadder

Scoring the meta with the win-chance model — first build can take a minute…

ANALYST NOTES

  • The model board is the win-chance model's opinion: each popular deck scored against the meta panel weighted by how often a fair matchmaker would draw each opponent. It knows matchups, not piloting difficulty.
  • The deck lab and the experimental ML upgrade run on the same model and the same meta panel, and are also exposed as commercial API endpoints under /api/v1.
  • This is descriptive data. Small samples, mode mix, balance patches, card levels, and selection bias can all move a deck up or down before the broader player base confirms it.

11 most-played decks, each scored against 11 meta decks weighted by play frequency / model v5-e2aa7bfc0c76 / built Jul 07, 01:43 PM

01

mega-knight
inferno-dragon
bats
bandit
electro-wizard
zap
arrows
goblin-cage
9.1% of scored meta playbest 88%worst 49%volatility 25

65.7%

model WR vs meta

02

ram-rider
bandit
royal-ghost
dark-prince
magic-archer
electro-wizard
zap
the-log
9.1% of scored meta playbest 80%worst 42%volatility 26

63.0%

model WR vs meta

03

golem
night-witch
baby-dragon
mega-minion
lightning
tornado
lumberjack
barbarian-barrel
9.1% of scored meta playbest 84%worst 50%volatility 24

62.6%

model WR vs meta

04

lava-hound
balloon
minions
mega-minion
baby-dragon
tombstone
arrows
zap
9.1% of scored meta playbest 86%worst 41%volatility 32

61.7%

model WR vs meta

05

graveyard
knight
baby-dragon
tornado
poison
ice-wizard
bowler
the-log
9.1% of scored meta playbest 74%worst 23%volatility 35

50.6%

model WR vs meta

06

goblin-barrel
princess
goblin-gang
inferno-tower
knight
rocket
the-log
ice-spirit
9.1% of scored meta playbest 74%worst 24%volatility 28

50.3%

model WR vs meta

07

royal-hogs
royal-recruits
zappies
fisherman
fireball
the-log
electro-spirit
barbarian-barrel
9.1% of scored meta playbest 70%worst 26%volatility 32

50.3%

model WR vs meta

08

x-bow
tesla
archers
knight
ice-spirit
fireball
the-log
skeletons
9.1% of scored meta playbest 70%worst 24%volatility 32

41.2%

model WR vs meta

09

musketeer
archers
tesla
inferno-tower
minion-horde
hunter
electro-wizard
fireball
9.1% of scored meta playbest 56%worst 22%volatility 23

40.5%

model WR vs meta

10

miner
wall-breakers
valkyrie
musketeer
inferno-tower
the-log
ice-spirit
skeletons
9.1% of scored meta playbest 53%worst 20%volatility 23

33.8%

model WR vs meta