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Pizki Mizki

#42

Total Matches: 12

Community: Islas Canarias

4 Wins 5 Losses 3 Draws

990

S10 End of Season ELO

1003

S10 Peak ELO

44.4%

Win Rate

ELO History

Match Outcome Constellation

✨

⭐

🌟

✨

💫

◯

Wins

Losses

Draws

⭐ Star size = ELO impact

Tournament Performance Profile

Performance Metrics

Consistency Rating

44.4%

ELO Growth -10

Tournament Dominance 1/4

Recent Matches

vs Gladys

Championship Whispers In The Well • Jan 17, 2026

WIN

+13

vs Prisi

Championship Whispers In The Well • Jan 17, 2026

DRAW

vs Rayo

Championship Whispers In The Well • Jan 17, 2026

LOSS

-13

vs RbLorc

Championship Whispers In The Well • Jan 17, 2026

DRAW

vs Rayo

sábado Evening Weekly Play (Constructed) • Dec 27, 2025

LOSS

-14

vs Matthew09

sábado Evening Weekly Play (Constructed) • Dec 27, 2025

WIN

+19

vs Yerto

sábado Evening Weekly Play (Constructed) • Dec 27, 2025

WIN

+18

vs Rayo

Evento magico de Lo Arcano • Dec 20, 2025

LOSS

-15

vs Yerto

Evento magico de Lo Arcano • Dec 20, 2025

WIN

+20

vs jneagz

Evento magico de Lo Arcano • Dec 20, 2025

LOSS

-15

Tournament History

Championship Whispers In The Well #6

Chikaku • Jan 17, 2026

Record: 1-1-2 • 10 players • Avg ELO: 991

sábado Evening Weekly Play (Constructed) #2

Chikaku • Dec 27, 2025

Record: 2-1-0 • 6 players • Avg ELO: 960

Evento magico de Lo Arcano #5

Chikaku • Dec 20, 2025

Record: 1-2-0 • 8 players • Avg ELO: 1012

Sábado Chikaku Disney #6

Chikaku • Nov 22, 2025

Record: 0-1-1 • 7 players • Avg ELO: 978

Player Insights

Max Win Streak

Max Loss Streak

-10

ELO Gained

ELO Range

Strong Tournaments (60%+ WR)

Different Stores

Tournaments Played

Advanced Analytics

⚔️

Giant Killer Analysis

Upset Victories: 0/1

Upset Rate: 0.0%

📈

ELO Momentum

Recent Trend: ➡️ Stable

Average Change: 0

Consistency: 100%

📅

Performance Patterns

Not enough data to determine patterns yet

⚡

Current Form

Current Streak: 1 Losses

Recent Form:

Recent Achievements

3 achievements earned

📜

Street Rat

Play 5 matches in Season 8.

📖

The First Chapter

Play your first match.

🐍

Jafar's Recruit

Play 1 match in Season 8.

🎮 Achievement Categories

Seasonal_Participation

Participation

🔍 View All Achievements

Top Rivalries

🎯

Rayo

3 matches played

0-3

0% win rate

🤝 Occasional Opponent

⚔️

Prisi

2 matches played

0-0-2

0% win rate

🤝 Occasional Opponent

🎯

RbLorc

2 matches played

0-1-1

0% win rate

🤝 Occasional Opponent

🏆

Yerto

2 matches played

2-0

100% win rate

🤝 Occasional Opponent

🏆

Gladys

1 matches played

1-0

100% win rate

🤝 Occasional Opponent

❄️

Current Streak

Losses

📊

66%

ELO Percentile

vs All Players

📅

This Month

Matches Played

⚡

-1

Avg ELO Change

Per Match

Stores Played

Chikaku

4 tournaments

Most Faced Opponents

Opponent	Matches	Wins	Losses	Draws	Win Rate
Rayo	3	0	3	0	0%
Prisi	2	0	0	2	0%
RbLorc	2	0	1	1	0%
Yerto	2	2	0	0	100%
Gladys	1	1	0	0	100%
Matthew09	1	1	0	0	100%
jneagz	1	0	1	0	0%

Rayo

Matches

Wins

Losses

Draws

Win Rate

Prisi

Matches

Wins

Losses

Draws

Win Rate

RbLorc

Matches

Wins

Losses

Draws

Win Rate

Yerto

Matches

Wins

Losses

Draws

Win Rate

100%

Gladys

Matches

Wins

Losses

Draws

Win Rate

100%

Matthew09

Matches

Wins

Losses

Draws

Win Rate

100%

jneagz

Matches

Wins

Losses

Draws

Win Rate

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

Pizki Mizki

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

Rayo

Prisi

RbLorc

Yerto

Gladys

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

🏆 Pizki Mizki's Achievements

Season 8 - Reign of Jafar

Global Achievements