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Arepita

#118

Total Matches: 12

Community: Madrid

5 Wins 6 Losses 1 Draws

1000

S10 End of Season ELO

1019

S10 Peak ELO

45.5%

Win Rate

ELO History

Match Outcome Constellation

✨

⭐

🌟

✨

💫

◯

Wins

Losses

Draws

⭐ Star size = ELO impact

Tournament Performance Profile

Performance Metrics

Consistency Rating

45.5%

ELO Growth 0

Tournament Dominance 2/4

Recent Matches

vs Mario A

Liga Lorcana • Dec 07, 2025

LOSS

-16

vs Legendarys_Louly

Liga Lorcana • Dec 07, 2025

WIN

+20

vs Fererez

Liga Lorcana • Dec 07, 2025

WIN

+22

vs [BLG]Joses

jueves Evening Weekly Play (Constructed) • Dec 04, 2025

LOSS

-13

vs VGL_Yutuf

jueves Evening Weekly Play (Constructed) • Dec 04, 2025

LOSS

-12

vs Nestle75

jueves Evening Weekly Play (Constructed) • Dec 04, 2025

WIN

+20

vs ZFG_Ebbrei

Liga Lorcana • Nov 30, 2025

LOSS

-17

vs VGL Vese

Liga Lorcana • Nov 30, 2025

LOSS

-21

vs Mohicano

Liga Lorcana • Nov 30, 2025

DRAW

vs Mohicano

Liga Lorcana • Nov 23, 2025

WIN

+17

Tournament History

Liga Lorcana #3

Medusa Cómics • Dec 07, 2025

Record: 2-1-0 • 14 players • Avg ELO: 1008

jueves Evening Weekly Play (Constructed) #5

Gladius Games • Dec 04, 2025

Record: 1-2-0 • 8 players • Avg ELO: 1033

Liga Lorcana #12

Medusa Cómics • Nov 30, 2025

Record: 0-2-1 • 15 players • Avg ELO: 1011

Liga Lorcana #2

Medusa Cómics • Nov 23, 2025

Record: 2-1-0 • 14 players • Avg ELO: 1010

Player Insights

Max Win Streak

Max Loss Streak

ELO Gained

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: 2 Wins

Recent Form:

Recent Achievements

4 achievements earned

📜

Street Rat

Play 5 matches in Season 8.

📖

The First Chapter

Play your first match.

🥇

First Victory

Win your first match.

🐍

Jafar's Recruit

Play 1 match in Season 8.

🎮 Achievement Categories

Seasonal_Participation

Participation

Special

🔍 View All Achievements

Top Rivalries

🏆

Fererez

2 matches played

2-0

100% win rate

🤝 Occasional Opponent

🏆

Mohicano

2 matches played

1-0-1

50% win rate

🤝 Occasional Opponent

🎯

Mario A

1 matches played

0-1

0% win rate

🤝 Occasional Opponent

🏆

Legendarys_Louly

1 matches played

1-0

100% win rate

🤝 Occasional Opponent

🎯

[BLG]Joses

1 matches played

0-1

0% win rate

🤝 Occasional Opponent

🔥

Current Streak

Wins

📊

67%

ELO Percentile

vs All Players

📅

This Month

Matches Played

⚡

Avg ELO Change

Per Match

Stores Played

Medusa Cómics

3 tournaments

Gladius Games

1 tournaments

Most Faced Opponents

Opponent	Matches	Wins	Losses	Draws	Win Rate
Fererez	2	2	0	0	100%
Mohicano	2	1	0	1	50%
Mario A	1	0	1	0	0%
Legendarys_Louly	1	1	0	0	100%
[BLG]Joses	1	0	1	0	0%
VGL_Yutuf	1	0	1	0	0%
Nestle75	1	1	0	0	100%
ZFG_Ebbrei	1	0	1	0	0%
VGL Vese	1	0	1	0	0%
Vito16	1	0	1	0	0%

Fererez

Matches

Wins

Losses

Draws

Win Rate

100%

Mohicano

Matches

Wins

Losses

Draws

Win Rate

50%

Mario A

Matches

Wins

Losses

Draws

Win Rate

Legendarys_Louly

Matches

Wins

Losses

Draws

Win Rate

100%

[BLG]Joses

Matches

Wins

Losses

Draws

Win Rate

VGL_Yutuf

Matches

Wins

Losses

Draws

Win Rate

Nestle75

Matches

Wins

Losses

Draws

Win Rate

100%

ZFG_Ebbrei

Matches

Wins

Losses

Draws

Win Rate

VGL Vese

Matches

Wins

Losses

Draws

Win Rate

Vito16

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

Arepita

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

Fererez

Mohicano

Mario A

Legendarys_Louly

[BLG]Joses

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

🏆 Arepita's Achievements

Season 8 - Reign of Jafar

Global Achievements