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Javier97_G

#161

Total Matches: 13

Community: Madrid

5 Wins 7 Losses 1 Draws

958

S10 End of Season ELO

1062

S10 Peak ELO

41.7%

Win Rate

ELO History

Match Outcome Constellation

✨

⭐

🌟

✨

💫

◯

Wins

Losses

Draws

⭐ Star size = ELO impact

Tournament Performance Profile

Performance Metrics

Consistency Rating

41.7%

ELO Growth -42

Tournament Dominance 1/4

Recent Matches

vs [IAB] Manu 🪐

Cholloliga Lorcana Jornada 3 • Dec 14, 2025

DRAW

vs Miriamte

Cholloliga Lorcana Jornada 3 • Dec 14, 2025

WIN

+18

vs LM_MartINK

Cholloliga Lorcana Jornada 3 • Dec 14, 2025

LOSS

-16

vs IBW_Korkenzieher

Chollorcana micelion • Nov 23, 2025

LOSS

-18

vs Adrián Kaulai

Chollorcana micelion • Nov 23, 2025

LOSS

-17

vs Médula

Chollorcana micelion • Nov 23, 2025

LOSS

-24

vs RoosterPhoenix

Chollorcana micelion • Nov 23, 2025

LOSS

-28

vs [IAB] Balta ☄️

22/11 LORCANA Torneo Amistoso • Nov 22, 2025

WIN

+21

vs Maci17

22/11 LORCANA Torneo Amistoso • Nov 22, 2025

WIN

+22

vs [IAB] Riodel

22/11 LORCANA Torneo Amistoso • Nov 22, 2025

WIN

+19

Tournament History

Cholloliga Lorcana Jornada 3 #6

MICELION GAMES • Dec 14, 2025

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

Chollorcana micelion NR

MICELION GAMES • Nov 23, 2025

Record: 0-4-0 • 20 players • Avg ELO: 998

22/11 LORCANA Torneo Amistoso #2

Generación X Tirso • Nov 22, 2025

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

15/11 LORCANA Torneo Amistoso #5

Generación X Tirso • Nov 15, 2025

Record: 1-1-0 • 9 players • Avg ELO: 983

Player Insights

Max Win Streak

Max Loss Streak

-42

ELO Gained

122

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: 1 Wins

Recent Form:

Recent Achievements

0 achievements earned

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

🎮 Achievement Categories

No achievements yet.

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Top Rivalries

🎯

Adrián Kaulai

2 matches played

0-2

0% win rate

🤝 Occasional Opponent

🏆

Maci17

2 matches played

2-0

100% win rate

🤝 Occasional Opponent

⚔️

[IAB] Manu 🪐

1 matches played

0-0-1

0% win rate

🤝 Occasional Opponent

🏆

Miriamte

1 matches played

1-0

100% win rate

🤝 Occasional Opponent

🎯

LM_MartINK

1 matches played

0-1

0% win rate

🤝 Occasional Opponent

🔥

Current Streak

Wins

📊

64%

ELO Percentile

vs All Players

📅

This Month

Matches Played

⚡

-3

Avg ELO Change

Per Match

Stores Played

MICELION GAMES

2 tournaments

Generación X Tirso

2 tournaments

Most Faced Opponents

Opponent	Matches	Wins	Losses	Draws	Win Rate
Adrián Kaulai	2	0	2	0	0%
Maci17	2	2	0	0	100%
[IAB] Manu 🪐	1	0	0	1	0%
Miriamte	1	1	0	0	100%
LM_MartINK	1	0	1	0	0%
IBW_Korkenzieher	1	0	1	0	0%
Médula	1	0	1	0	0%
RoosterPhoenix	1	0	1	0	0%
[IAB] Balta ☄️	1	1	0	0	100%
[IAB] Riodel	1	1	0	0	100%

Adrián Kaulai

Matches

Wins

Losses

Draws

Win Rate

Maci17

Matches

Wins

Losses

Draws

Win Rate

100%

[IAB] Manu 🪐

Matches

Wins

Losses

Draws

Win Rate

Miriamte

Matches

Wins

Losses

Draws

Win Rate

100%

LM_MartINK

Matches

Wins

Losses

Draws

Win Rate

IBW_Korkenzieher

Matches

Wins

Losses

Draws

Win Rate

Médula

Matches

Wins

Losses

Draws

Win Rate

RoosterPhoenix

Matches

Wins

Losses

Draws

Win Rate

[IAB] Balta ☄️

Matches

Wins

Losses

Draws

Win Rate

100%

[IAB] Riodel

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

Javier97_G

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

Adrián Kaulai

Maci17

[IAB] Manu 🪐

Miriamte

LM_MartINK

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

🏆 Javier97_G's Achievements