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Irene U

#209

Total Matches: 23

Community: Madrid

7 Wins 10 Losses 6 Draws

957

S10 End of Season ELO

1020

S10 Peak ELO

41.2%

Win Rate

ELO History

Match Outcome Constellation

✨

⭐

🌟

✨

💫

◯

Wins

Losses

Draws

⭐ Star size = ELO impact

Tournament Performance Profile

Performance Metrics

Consistency Rating

41.2%

ELO Growth -43

Tournament Dominance 2/8

Recent Matches

vs VGL_Darius

Liga Lorcana • Feb 01, 2026

LOSS

-7

vs Albani

Liga Lorcana • Feb 01, 2026

WIN

+19

vs Mohicano

Liga Lorcana • Jan 18, 2026

WIN

+18

vs Albani

Liga Lorcana • Jan 18, 2026

LOSS

-20

vs Patatagraciosa

Liga Lorcana • Jan 18, 2026

WIN

+14

vs Mohicano

Liga Lorcana • Jan 04, 2026

WIN

+18

vs David

Liga Lorcana • Jan 04, 2026

LOSS

-11

vs Patatagraciosa

Liga Lorcana • Jan 04, 2026

WIN

+17

vs Mohicano

Liga Lorcana • Dec 21, 2025

DRAW

vs Pavadu

Liga Lorcana • Dec 21, 2025

LOSS

-19

Tournament History

Liga Lorcana #4

Medusa Cómics • Feb 01, 2026

Record: 1-1-0 • 12 players • Avg ELO: 1013

Liga Lorcana #2

Medusa Cómics • Jan 18, 2026

Record: 2-1-0 • 5 players • Avg ELO: 926

Liga Lorcana #1

Medusa Cómics • Jan 04, 2026

Record: 2-1-0 • 5 players • Avg ELO: 962

Liga Lorcana #11

Medusa Cómics • Dec 21, 2025

Record: 0-1-1 • 13 players • Avg ELO: 1043

Liga Lorcana #7

Medusa Cómics • Dec 14, 2025

Record: 0-1-2 • 9 players • Avg ELO: 1017

Liga Lorcana #9

Medusa Cómics • Nov 30, 2025

Record: 1-2-1 • 15 players • Avg ELO: 1041

Liga Lorcana #13

Medusa Cómics • Nov 23, 2025

Record: 0-2-1 • 14 players • Avg ELO: 1016

Liga Lorcana #4

Medusa Cómics • Nov 16, 2025

Record: 1-1-1 • 8 players • Avg ELO: 986

Player Insights

Max Win Streak

Max Loss Streak

-43

ELO Gained

109

ELO Range

Strong Tournaments (60%+ WR)

Different Stores

Tournaments Played

Advanced Analytics

⚔️

Giant Killer Analysis

Upset Victories: 0/4

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

🏆

Mohicano

6 matches played

3-0-3

50% win rate

👑 Dominates

⚔️

Pavadu

4 matches played

1-1-2

25% win rate

🤝 Occasional Opponent

🏆

Patatagraciosa

3 matches played

2-1

67% win rate

🤝 Occasional Opponent

⚔️

Albani

2 matches played

1-1

50% win rate

🤝 Occasional Opponent

🎯

David

2 matches played

0-1-1

0% win rate

🤝 Occasional Opponent

❄️

Current Streak

Losses

📊

64%

ELO Percentile

vs All Players

📅

This Month

Matches Played

⚡

-2

Avg ELO Change

Per Match

Stores Played

Medusa Cómics

8 tournaments

Most Faced Opponents

Opponent	Matches	Wins	Losses	Draws	Win Rate
Mohicano	6	3	0	3	50%
Pavadu	4	1	1	2	25%
Patatagraciosa	3	2	1	0	67%
Albani	2	1	1	0	50%
David	2	0	1	1	0%
VGL_Darius	1	0	1	0	0%
[BLG]Joses	1	0	1	0	0%
ZFG_Agus🎲🍀	1	0	1	0	0%
ZFG_Ebbrei	1	0	1	0	0%
Fererez	1	0	1	0	0%

Mohicano

Matches

Wins

Losses

Draws

Win Rate

50%

Pavadu

Matches

Wins

Losses

Draws

Win Rate

25%

Patatagraciosa

Matches

Wins

Losses

Draws

Win Rate

67%

Albani

Matches

Wins

Losses

Draws

Win Rate

50%

David

Matches

Wins

Losses

Draws

Win Rate

VGL_Darius

Matches

Wins

Losses

Draws

Win Rate

[BLG]Joses

Matches

Wins

Losses

Draws

Win Rate

ZFG_Agus🎲🍀

Matches

Wins

Losses

Draws

Win Rate

ZFG_Ebbrei

Matches

Wins

Losses

Draws

Win Rate

Fererez

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

Irene U

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

Mohicano

Pavadu

Patatagraciosa

Albani

David

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

🏆 Irene U's Achievements

Season 8 - Reign of Jafar

Global Achievements