Back to Levante Leaderboard

Lasecretaria

#59

Total Matches: 12

Community: Levante

6 Wins 6 Losses

1007

S10 End of Season ELO

1078

S10 Peak ELO

50.0%

Win Rate

ELO History

Match Outcome Constellation

✨

⭐

🌟

✨

💫

◯

Wins

Losses

Draws

⭐ Star size = ELO impact

Tournament Performance Profile

Performance Metrics

Consistency Rating

50.0%

ELO Growth +7

Tournament Dominance 2/3

Recent Matches

vs ¿Xalazan?

LORCANA SEMANAL DRAGONCT “Multijugador” • Dec 09, 2025

LOSS

-21

vs Francisco

LORCANA SEMANAL DRAGONCT “Multijugador” • Dec 09, 2025

LOSS

-19

vs ¿franMTG17?

LORCANA SEMANAL DRAGONCT “Multijugador” • Dec 09, 2025

LOSS

-13

vs Cayu

LORCANA SEMANAL CORE • Dec 04, 2025

WIN

+16

vs Nezumi

LORCANA SEMANAL CORE • Dec 04, 2025

WIN

+15

vs ¿franMTG17?

LORCANA SEMANAL CORE • Dec 04, 2025

LOSS

-16

vs Roberto Italo

PREPARATORIO CCQ LORCANA DRAGONCT • Nov 09, 2025

WIN

+20

vs ¿Xalazan?

PREPARATORIO CCQ LORCANA DRAGONCT • Nov 09, 2025

LOSS

-18

vs ramon1991

PREPARATORIO CCQ LORCANA DRAGONCT • Nov 09, 2025

WIN

+19

vs ElLeonazo

PREPARATORIO CCQ LORCANA DRAGONCT • Nov 09, 2025

WIN

+19

Tournament History

LORCANA SEMANAL DRAGONCT “Multijugador” NR

DRAGONCT • Dec 09, 2025

Record: 0-3-0 • 6 players • Avg ELO: 1034

LORCANA SEMANAL CORE #1

DRAGONCT • Dec 04, 2025

Record: 2-1-0 • 7 players • Avg ELO: 1007

PREPARATORIO CCQ LORCANA DRAGONCT #2

DRAGONCT • Nov 09, 2025

Record: 4-2-0 • 16 players • Avg ELO: 998

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

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: 4 Losses

Recent Form:

Recent Achievements

4 achievements earned

🏛️

Living History

Play 15 matches in Season 9.

📚

A Tale for the Ages

Play 10 matches in Season 9.

📖

The Next Chapter

Play 5 matches in Season 9.

✨

Fabled Debut

Play 1 match in Season 9.

🎮 Achievement Categories

Seasonal_Participation

🔍 View All Achievements

Top Rivalries

🎯

¿Xalazan?

3 matches played

0-3

0% win rate

🤝 Occasional Opponent

🎯

¿franMTG17?

3 matches played

1-2

33% win rate

🤝 Occasional Opponent

🎯

Francisco

1 matches played

0-1

0% win rate

🤝 Occasional Opponent

🏆

Cayu

1 matches played

1-0

100% win rate

🤝 Occasional Opponent

🏆

Nezumi

1 matches played

1-0

100% win rate

🤝 Occasional Opponent

❄️

Current Streak

Losses

📊

67%

ELO Percentile

vs All Players

📅

This Month

Matches Played

⚡

Avg ELO Change

Per Match

Stores Played

DRAGONCT

3 tournaments

Most Faced Opponents

Opponent	Matches	Wins	Losses	Win Rate
¿Xalazan?	3	0	3	0%
¿franMTG17?	3	1	2	33%
Francisco	1	0	1	0%
Cayu	1	1	0	100%
Nezumi	1	1	0	100%
Roberto Italo	1	1	0	100%
ramon1991	1	1	0	100%
ElLeonazo	1	1	0	100%

¿Xalazan?

Matches

Wins

Losses

Draws

Win Rate

¿franMTG17?

Matches

Wins

Losses

Draws

Win Rate

33%

Francisco

Matches

Wins

Losses

Draws

Win Rate

Cayu

Matches

Wins

Losses

Draws

Win Rate

100%

Nezumi

Matches

Wins

Losses

Draws

Win Rate

100%

Roberto Italo

Matches

Wins

Losses

Draws

Win Rate

100%

ramon1991

Matches

Wins

Losses

Draws

Win Rate

100%

ElLeonazo

Matches

Wins

Losses

Draws

Win Rate

100%

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

Lasecretaria

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

¿Xalazan?

¿franMTG17?

Francisco

Cayu

Nezumi

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

🏆 Lasecretaria's Achievements

Season 9 - Fabled