Back to Madrid Leaderboard

LM_Cetreth

#264

Lorcana's Millionaries

Total Matches: 11

Community: Madrid

Team: Lorcana's Millionaries

0 Wins 5 Losses 6 Draws

913

S10 End of Season ELO

1000

S10 Peak ELO

0.0%

Win Rate

ELO History

Match Outcome Constellation

✨

⭐

🌟

✨

💫

◯

Wins

Losses

Draws

⭐ Star size = ELO impact

Tournament Performance Profile

Performance Metrics

Consistency Rating

0.0%

ELO Growth -87

Tournament Dominance 0/6

Recent Matches

vs LDL_DiegoMartinez

Jupiter Madrid Evento Casual • Feb 02, 2026

DRAW

vs IBW_Astharoth

Júpiter Madrid Championship – Whispers in the Well • Jan 10, 2026

LOSS

-16

vs IBW_Borchas

Júpiter Madrid Championship – Whispers in the Well • Jan 10, 2026

LOSS

-14

vs IBW_Maikis

Júpiter Madrid Championship – Whispers in the Well • Jan 10, 2026

LOSS

-18

vs LM_Sofi

Jupiter Madrid - Torneo Core • Dec 01, 2025

LOSS

-21

vs LM_Sergio

Jupiter Madrid - Torneo Core • Dec 01, 2025

LOSS

-15

vs LDL_DiegoMartinez

Evento Casual • Dec 01, 2025

DRAW

vs Pecas

Evento Casual • Nov 17, 2025

DRAW

vs Juancultcha

Evento Casual • Nov 11, 2025

DRAW

vs LDL_DeboraAlbaina

Evento Casual • Nov 11, 2025

DRAW

Tournament History

Jupiter Madrid Evento Casual #1

Júpiter Juegos Madrid • Feb 02, 2026

Record: 0-0-1 • 4 players • Avg ELO: 1040

Júpiter Madrid Championship – Whispers in the Well NR

Júpiter Juegos Madrid • Jan 10, 2026

Record: 0-3-0 • 16 players • Avg ELO: 1015

Jupiter Madrid - Torneo Core NR

Júpiter Juegos Madrid • Dec 01, 2025

Record: 0-2-0 • 7 players • Avg ELO: 1020

Evento Casual #1

Júpiter Juegos Madrid • Dec 01, 2025

Record: 0-0-1 • 8 players • Avg ELO: 1044

Evento Casual #1

Júpiter Juegos Madrid • Nov 17, 2025

Record: 0-0-1 • 4 players • Avg ELO: 1003

Evento Casual #1

Júpiter Juegos Madrid • Nov 11, 2025

Record: 0-0-3 • 7 players • Avg ELO: 1030

Player Insights

Max Win Streak

Max Loss Streak

-87

ELO Gained

ELO Range

Strong Tournaments (60%+ WR)

Different Stores

Tournaments Played

Advanced Analytics

⚔️

Giant Killer Analysis

Upset Victories: 0/1

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: 5 Losses

Recent Form:

Recent Achievements

5 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.

🗺️

Store Hopper

Play at 2 different stores.

🎮 Achievement Categories

Seasonal_Participation

Participation

1 matches played

0-1

0% win rate

🤝 Occasional Opponent

❄️

Current Streak

Losses

📊

61%

ELO Percentile

vs All Players

📅

This Month

Matches Played

⚡

-8

Avg ELO Change

Per Match

Stores Played

Júpiter Juegos Madrid

6 tournaments

Most Faced Opponents

Opponent	Matches	Losses	Draws	Win Rate
LDL_DiegoMartinez	2	0	2	0%
IBW_Astharoth	1	1	0	0%
IBW_Borchas	1	1	0	0%
IBW_Maikis	1	1	0	0%
LM_Sofi	1	1	0	0%
LM_Sergio	1	1	0	0%
Pecas	1	0	1	0%
Juancultcha	1	0	1	0%
LDL_DeboraAlbaina	1	0	1	0%
LM_MartINK	1	0	1	0%

LDL_DiegoMartinez

Matches

Wins

Losses

Draws

Win Rate

IBW_Astharoth

Matches

Wins

Losses

Draws

Win Rate

IBW_Borchas

Matches

Wins

Losses

Draws

Win Rate

IBW_Maikis

Matches

Wins

Losses

Draws

Win Rate

LM_Sofi

Matches

Wins

Losses

Draws

Win Rate

LM_Sergio

Matches

Wins

Losses

Draws

Win Rate

Pecas

Matches

Wins

Losses

Draws

Win Rate

Juancultcha

Matches

Wins

Losses

Draws

Win Rate

LDL_DeboraAlbaina

Matches

Wins

Losses

Draws

Win Rate

LM_MartINK

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

LM_Cetreth

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

LDL_DiegoMartinez

IBW_Astharoth

IBW_Borchas

IBW_Maikis

LM_Sofi

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

🏆 LM_Cetreth's Achievements

Season 8 - Reign of Jafar

Global Achievements