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Mizuki

#123

Total Matches: 14

Community: Levante

4 Wins 10 Losses

909

S10 End of Season ELO

1000

S10 Peak ELO

28.6%

Win Rate

ELO History

Match Outcome Constellation

✨

⭐

🌟

✨

💫

◯

Wins

Losses

Draws

⭐ Star size = ELO impact

Tournament Performance Profile

Performance Metrics

Consistency Rating

28.6%

ELO Growth -91

Tournament Dominance 0/4

Recent Matches

vs Rubbyrubss

LIGA SIMBA • Dec 18, 2025

LOSS

-12

vs Cubitoito

LIGA SIMBA • Dec 18, 2025

WIN

+26

vs Tenedor

LIGA SIMBA • Dec 18, 2025

LOSS

-15

vs Yisus

LIGA SIMBA • Dec 18, 2025

LOSS

-20

vs Fiordor

Liga Simba • Dec 11, 2025

WIN

+15

vs Markis.F

Liga Simba • Dec 11, 2025

LOSS

-12

vs Tertrix

Liga Simba • Dec 11, 2025

LOSS

-18

vs Elvira

Liga Simba • Dec 11, 2025

LOSS

-16

vs Cubitoito

LIGA SIMBA 4/12 • Dec 04, 2025

LOSS

-18

vs ❄️ Kumiho ❄️

LIGA SIMBA 4/12 • Dec 04, 2025

LOSS

-15

Tournament History

LIGA SIMBA #5

La Escotilla • Dec 18, 2025

Record: 1-3-0 • 8 players • Avg ELO: 1026

Liga Simba #9

La Escotilla • Dec 11, 2025

Record: 1-3-0 • 12 players • Avg ELO: 1014

LIGA SIMBA 4/12 #7

La Escotilla • Dec 04, 2025

Record: 1-2-0 • 9 players • Avg ELO: 1009

Liga Simba #4

La Escotilla • Nov 13, 2025

Record: 1-2-0 • 6 players • Avg ELO: 1033

Player Insights

Max Win Streak

Max Loss Streak

-91

ELO Gained

117

ELO Range

Strong Tournaments (60%+ WR)

Different Stores

Tournaments Played

Advanced Analytics

⚔️

Giant Killer Analysis

Upset Victories: 1/3

Upset Rate: 33.3%

Biggest Upset: +116 ELO

📈

ELO Momentum

Recent Trend: ➡️ Stable

Average Change: 0

Consistency: 100%

📅

Performance Patterns

Not enough data to determine patterns yet

⚡

Current Form

Current Streak: 1 Wins

Recent Form:

Recent Achievements

8 achievements earned

📖

The Next Chapter

Play 5 matches in Season 9.

✨

Fabled Debut

Play 1 match in Season 9.

🤝

A Familiar Face

Play 3 matches against the same opponent.

🧞

Friend Like Me

Play 10 matches in Season 8.

📚

Well-Versed

Play 10 matches.

🎮 Achievement Categories

Seasonal_Participation

1 matches played

0-1

0% win rate

🤝 Occasional Opponent

🔥

Current Streak

Wins

📊

61%

ELO Percentile

vs All Players

📅

This Month

Matches Played

⚡

-6

Avg ELO Change

Per Match

Stores Played

La Escotilla

4 tournaments

Most Faced Opponents

Opponent	Matches	Wins	Losses	Win Rate
Rubbyrubss	2	0	2	0%
Cubitoito	2	1	1	50%
Fiordor	2	2	0	100%
Markis.F	2	0	2	0%
Tenedor	1	0	1	0%
Yisus	1	0	1	0%
Tertrix	1	0	1	0%
Elvira	1	0	1	0%
❄️ Kumiho ❄️	1	0	1	0%
Javi	1	1	0	100%

Rubbyrubss

Matches

Wins

Losses

Draws

Win Rate

Cubitoito

Matches

Wins

Losses

Draws

Win Rate

50%

Fiordor

Matches

Wins

Losses

Draws

Win Rate

100%

Markis.F

Matches

Wins

Losses

Draws

Win Rate

Tenedor

Matches

Wins

Losses

Draws

Win Rate

Yisus

Matches

Wins

Losses

Draws

Win Rate

Tertrix

Matches

Wins

Losses

Draws

Win Rate

Elvira

Matches

Wins

Losses

Draws

Win Rate

❄️ Kumiho ❄️

Matches

Wins

Losses

Draws

Win Rate

Javi

Matches

Wins

Losses

Draws

Win Rate

100%

Understanding ELO Rating System

What is ELO?

The ELO rating system is a method for calculating the relative skill levels of players in zero-sum games such as chess, or in our case, Lorcana tournaments. It was originally developed by Arpad Elo for chess competitions.

Each player starts with a base rating (1000), and this rating changes after each match based on the outcome and the relative skill difference between players.

How Does It Work?

Basic Formula:

New Rating = Old Rating + K × (Actual Score - Expected Score)

Expected Score Formula:

E = 1 / (1 + 10^((Rb - Ra) / 400))

Where Ra is your rating and Rb is opponent's rating

K-Factor:

Determines how much ratings change per game:

• New players: K = 32
• Experienced: K = 16
• Masters: K = 10

Examples

Beating a Higher-Rated Player

You (1000) vs Opponent (1200)

Expected: You have ~24% chance to win

If you win: +24 rating points!

Losing to a Lower-Rated Player

You (1200) vs Opponent (1000)

Expected: You have ~76% chance to win

If you lose: -24 rating points

Key Points

• Ratings are relative - they only matter in comparison to other players
• Beating stronger opponents gives more points than beating weaker ones
• Your rating stabilizes over time as you play more games
• Draws result in no ELO change for both players
• The system is self-correcting - ratings tend toward your true skill level

Mizuki

ELO History

Match Outcome Constellation

Tournament Performance Profile

Performance Metrics Explained

Performance Metrics

Recent Matches

Tournament History

Player Insights

Advanced Analytics

Giant Killer Analysis

ELO Momentum

Performance Patterns

Current Form

Recent Achievements

🎮 Achievement Categories

Top Rivalries

Rubbyrubss

Cubitoito

Fiordor

Markis.F

Tenedor

Stores Played

Most Faced Opponents

Understanding ELO Rating System

What is ELO?

How Does It Work?

Basic Formula:

Expected Score Formula:

K-Factor:

Examples

Beating a Higher-Rated Player

Losing to a Lower-Rated Player

Key Points

📜 Full Match History

🏆 Mizuki's Achievements

Season 9 - Fabled

Global Achievements

Season 8 - Reign of Jafar