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Miriamte

#208

Total Matches: 9

Community: Madrid

1 Wins 7 Losses 1 Draws

891

S10 End of Season ELO

1000

S10 Peak ELO

12.5%

Win Rate

ELO History

Match Outcome Constellation

✨

⭐

🌟

✨

💫

◯

Wins

Losses

Draws

⭐ Star size = ELO impact

Tournament Performance Profile

Performance Metrics

Consistency Rating

12.5%

ELO Growth -109

Tournament Dominance 0/3

Recent Matches

vs [IAB] Manu 🪐

Cholloliga Lorcana Jornada 3 • Dec 14, 2025

LOSS

-22

vs Javier97_G

Cholloliga Lorcana Jornada 3 • Dec 14, 2025

LOSS

-18

vs LM_MartINK

Cholloliga Lorcana Jornada 3 • Dec 14, 2025

DRAW

vs Maci17

22/11 LORCANA Torneo Amistoso • Nov 22, 2025

LOSS

-13

vs [IAB] Balta ☄️

22/11 LORCANA Torneo Amistoso • Nov 22, 2025

LOSS

-15

vs Adrián Kaulai

22/11 LORCANA Torneo Amistoso • Nov 22, 2025

LOSS

-17

vs RoosterPhoenix

22/11 LORCANA Torneo Amistoso • Nov 22, 2025

WIN

+19

vs [IAB] Dudels

15/11 LORCANA Torneo Amistoso • Nov 15, 2025

LOSS

-17

vs [IAB] Alexgoma 🚀

15/11 LORCANA Torneo Amistoso • Nov 15, 2025

LOSS

-20

Tournament History

Cholloliga Lorcana Jornada 3 #9

MICELION GAMES • Dec 14, 2025

Record: 0-2-1 • 11 players • Avg ELO: 988

22/11 LORCANA Torneo Amistoso #7

Generación X Tirso • Nov 22, 2025

Record: 1-3-0 • 10 players • Avg ELO: 979

15/11 LORCANA Torneo Amistoso NR

Generación X Tirso • Nov 15, 2025

Record: 0-2-0 • 9 players • Avg ELO: 983

Player Insights

Max Win Streak

Max Loss Streak

-109

ELO Gained

109

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: 4 Losses

Recent Form:

Recent Achievements

0 achievements earned

�

No achievements yet - play some matches to start earning them!

🎮 Achievement Categories

0-1

0% win rate

🤝 Occasional Opponent

❄️

Current Streak

Losses

📊

59%

ELO Percentile

vs All Players

📅

This Month

Matches Played

⚡

-12

Avg ELO Change

Per Match

Stores Played

Generación X Tirso

2 tournaments

MICELION GAMES

1 tournaments

Most Faced Opponents

Opponent	Matches	Wins	Losses	Draws	Win Rate
[IAB] Manu 🪐	1	0	1	0	0%
Javier97_G	1	0	1	0	0%
LM_MartINK	1	0	0	1	0%
Maci17	1	0	1	0	0%
[IAB] Balta ☄️	1	0	1	0	0%
Adrián Kaulai	1	0	1	0	0%
RoosterPhoenix	1	1	0	0	100%
[IAB] Dudels	1	0	1	0	0%
[IAB] Alexgoma 🚀	1	0	1	0	0%

[IAB] Manu 🪐

Matches

Wins

Losses

Draws

Win Rate

Javier97_G

Matches

Wins

Losses

Draws

Win Rate

LM_MartINK

Matches

Wins

Losses

Draws

Win Rate

Maci17

Matches

Wins

Losses

Draws

Win Rate

[IAB] Balta ☄️

Matches

Wins

Losses

Draws

Win Rate

Adrián Kaulai

Matches

Wins

Losses

Draws

Win Rate

RoosterPhoenix

Matches

Wins

Losses

Draws

Win Rate

100%

[IAB] Dudels

Matches

Wins

Losses

Draws

Win Rate

[IAB] Alexgoma 🚀

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

Miriamte

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

[IAB] Manu 🪐

Javier97_G

LM_MartINK

Maci17

[IAB] Balta ☄️

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

🏆 Miriamte's Achievements