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David

#54

Total Matches: 14

Community: Madrid

7 Wins 4 Losses 3 Draws

1051

S10 End of Season ELO

1051

S10 Peak ELO

63.6%

Win Rate

ELO History

Match Outcome Constellation

✨

⭐

🌟

✨

💫

◯

Wins

Losses

Draws

⭐ Star size = ELO impact

Tournament Performance Profile

Performance Metrics

Consistency Rating

63.6%

ELO Growth +51

Tournament Dominance 1/4

Recent Matches

vs ZFG_Agus🎲🍀

Liga Lorcana • Dec 14, 2025

LOSS

-13

vs Arepita

Liga Lorcana • Dec 14, 2025

DRAW

vs Patatagraciosa

Liga Lorcana • Dec 14, 2025

WIN

+12

vs Pavadu

Liga Lorcana • Dec 14, 2025

WIN

+17

vs Pavadu

Liga Lorcana • Nov 30, 2025

WIN

+20

vs VGL Vese

Liga Lorcana • Nov 30, 2025

LOSS

-22

vs VGL_albamustaine

Liga Lorcana • Nov 30, 2025

WIN

+15

vs VGL_Darius

Liga Lorcana • Nov 30, 2025

DRAW

vs [BLG]Joses

Liga Lorcana • Nov 23, 2025

LOSS

-18

vs Alvaro8209

Liga Lorcana • Nov 23, 2025

WIN

+16

Tournament History

Liga Lorcana #2

Medusa Cómics • Dec 14, 2025

Record: 2-1-1 • 9 players • Avg ELO: 1008

Liga Lorcana #3

Medusa Cómics • Nov 30, 2025

Record: 2-1-1 • 15 players • Avg ELO: 1012

Liga Lorcana #2

Medusa Cómics • Nov 23, 2025

Record: 2-1-0 • 14 players • Avg ELO: 1013

Liga Lorcana #4

Medusa Cómics • Nov 16, 2025

Record: 1-1-1 • 8 players • Avg ELO: 985

Player Insights

Max Win Streak

Max Loss Streak

+51

ELO Gained

ELO Range

Strong Tournaments (60%+ WR)

Different Stores

Tournaments Played

Advanced Analytics

⚔️

Giant Killer Analysis

No matches against higher-ranked opponents yet

📈

ELO Momentum

Recent Trend: ➡️ Stable

Average Change: 0

Consistency: 100%

📅

Performance Patterns

Not enough data to determine patterns yet

⚡

Current Form

Current Streak: 2 Wins

Recent Form:

Recent Achievements

6 achievements earned

📚

Well-Versed

Play 10 matches.

🧞

Friend Like Me

Play 10 matches in Season 8.

🤝

A Familiar Face

Play 3 matches against the same opponent.

📜

Street Rat

Play 5 matches in Season 8.

📖

The First Chapter

Play your first match.

🎮 Achievement Categories

Participation

Seasonal_Participation

Rivalry

🔍 View All Achievements

Top Rivalries

⚔️

ZFG_Agus🎲🍀

2 matches played

1-1

50% win rate

🤝 Occasional Opponent

🏆

Pavadu

2 matches played

2-0

100% win rate

🤝 Occasional Opponent

⚔️

Arepita

1 matches played

0-0-1

0% win rate

🤝 Occasional Opponent

🏆

Patatagraciosa

1 matches played

1-0

100% win rate

🤝 Occasional Opponent

🎯

VGL Vese

1 matches played

0-1

0% win rate

🤝 Occasional Opponent

🔥

Current Streak

Wins

📊

70%

ELO Percentile

vs All Players

📅

This Month

Matches Played

⚡

Avg ELO Change

Per Match

Stores Played

Medusa Cómics

4 tournaments

Most Faced Opponents

Opponent	Matches	Wins	Losses	Draws	Win Rate
ZFG_Agus🎲🍀	2	1	1	0	50%
Pavadu	2	2	0	0	100%
Arepita	1	0	0	1	0%
Patatagraciosa	1	1	0	0	100%
VGL Vese	1	0	1	0	0%
VGL_albamustaine	1	1	0	0	100%
VGL_Darius	1	0	0	1	0%
[BLG]Joses	1	0	1	0	0%
Alvaro8209	1	1	0	0	100%
Irene U	1	0	0	1	0%

ZFG_Agus🎲🍀

Matches

Wins

Losses

Draws

Win Rate

50%

Pavadu

Matches

Wins

Losses

Draws

Win Rate

100%

Arepita

Matches

Wins

Losses

Draws

Win Rate

Patatagraciosa

Matches

Wins

Losses

Draws

Win Rate

100%

VGL Vese

Matches

Wins

Losses

Draws

Win Rate

VGL_albamustaine

Matches

Wins

Losses

Draws

Win Rate

100%

VGL_Darius

Matches

Wins

Losses

Draws

Win Rate

[BLG]Joses

Matches

Wins

Losses

Draws

Win Rate

Alvaro8209

Matches

Wins

Losses

Draws

Win Rate

100%

Irene U

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

David

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

ZFG_Agus🎲🍀

Pavadu

Arepita

Patatagraciosa

VGL Vese

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

🏆 David's Achievements

Global Achievements

Season 8 - Reign of Jafar