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Iago

#202

Total Matches: 10

Community: Madrid

1 Wins 8 Losses 1 Draws

876

S10 End of Season ELO

1000

S10 Peak ELO

11.1%

Win Rate

ELO History

Match Outcome Constellation

✨

⭐

🌟

✨

💫

◯

Wins

Losses

Draws

⭐ Star size = ELO impact

Tournament Performance Profile

Performance Metrics

Consistency Rating

11.1%

ELO Growth -124

Tournament Dominance 0/3

Recent Matches

vs Akka022

Lorcana - Whispers in the Well Jornada 3 • Nov 28, 2025

LOSS

-11

vs Joser75

Lorcana - Whispers in the Well Jornada 3 • Nov 28, 2025

LOSS

-22

vs WolfElsa

Lorcana - Whispers in the Well Jornada 3 • Nov 28, 2025

LOSS

-12

vs WLT_Yoli

Lorcana - Whispers in the Well Jornada 2 • Nov 21, 2025

LOSS

-17

vs Joser75

Lorcana - Whispers in the Well Jornada 2 • Nov 21, 2025

WIN

+18

vs Hulio

Lorcana - Whispers in the Well Jornada 2 • Nov 21, 2025

LOSS

-16

vs Luigi_Bichi

Lorcana - Whispers in the Well Jornada 2 • Nov 21, 2025

DRAW

vs EMP_Ana0

Lorcana - Whispers in the Well Jornada 1 • Nov 14, 2025

LOSS

-20

vs Luigi_Bichi

Lorcana - Whispers in the Well Jornada 1 • Nov 14, 2025

LOSS

-19

vs TJM_Arroyo

Lorcana - Whispers in the Well Jornada 1 • Nov 14, 2025

LOSS

-20

Tournament History

Lorcana - Whispers in the Well Jornada 3 NR

Gen X Las Musas • Nov 28, 2025

Record: 0-3-0 • 18 players • Avg ELO: 1035

Lorcana - Whispers in the Well Jornada 2 #15

Gen X Las Musas • Nov 21, 2025

Record: 1-2-1 • 24 players • Avg ELO: 1018

Lorcana - Whispers in the Well Jornada 1 NR

Gen X Las Musas • Nov 14, 2025

Record: 0-3-0 • 22 players • Avg ELO: 1018

Player Insights

Max Win Streak

Max Loss Streak

-124

ELO Gained

124

ELO Range

Strong Tournaments (60%+ WR)

Different Stores

Tournaments Played

Advanced Analytics

⚔️

Giant Killer Analysis

Upset Victories: 0/2

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: 4 Losses

Recent Form:

Recent Achievements

7 achievements earned

✨

Fabled Debut

Play 1 match in Season 9.

📖

The Next Chapter

Play 5 matches in Season 9.

📚

Well-Versed

Play 10 matches.

🧞

Friend Like Me

Play 10 matches in Season 8.

📜

Street Rat

Play 5 matches in Season 8.

🎮 Achievement Categories

Seasonal_Participation

Participation

🔍 View All Achievements

Top Rivalries

⚔️

Joser75

2 matches played

1-1

50% win rate

🤝 Occasional Opponent

🎯

Luigi_Bichi

2 matches played

0-1-1

0% win rate

🤝 Occasional Opponent

🎯

Akka022

1 matches played

0-1

0% win rate

🤝 Occasional Opponent

🎯

WolfElsa

1 matches played

0-1

0% win rate

🤝 Occasional Opponent

🎯

WLT_Yoli

1 matches played

0-1

0% win rate

🤝 Occasional Opponent

❄️

Current Streak

Losses

📊

58%

ELO Percentile

vs All Players

📅

This Month

Matches Played

⚡

-12

Avg ELO Change

Per Match

Stores Played

Gen X Las Musas

3 tournaments

Most Faced Opponents

Opponent	Matches	Wins	Losses	Draws	Win Rate
Joser75	2	1	1	0	50%
Luigi_Bichi	2	0	1	1	0%
Akka022	1	0	1	0	0%
WolfElsa	1	0	1	0	0%
WLT_Yoli	1	0	1	0	0%
Hulio	1	0	1	0	0%
EMP_Ana0	1	0	1	0	0%
TJM_Arroyo	1	0	1	0	0%

Joser75

Matches

Wins

Losses

Draws

Win Rate

50%

Luigi_Bichi

Matches

Wins

Losses

Draws

Win Rate

Akka022

Matches

Wins

Losses

Draws

Win Rate

WolfElsa

Matches

Wins

Losses

Draws

Win Rate

WLT_Yoli

Matches

Wins

Losses

Draws

Win Rate

Hulio

Matches

Wins

Losses

Draws

Win Rate

EMP_Ana0

Matches

Wins

Losses

Draws

Win Rate

TJM_Arroyo

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

Iago

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

Joser75

Luigi_Bichi

Akka022

WolfElsa

WLT_Yoli

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

🏆 Iago's Achievements

Season 9 - Fabled

Global Achievements

Season 8 - Reign of Jafar