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Jadeita

#12

Total Matches: 12

Community: Zaragoza

5 Wins 6 Losses 1 Draws

987

S10 End of Season ELO

1030

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 -13

Tournament Dominance 0/3

Recent Matches

vs AlejandroPP

sábado Morning Whispers in the Well - Set Championship • Jan 24, 2026

DRAW

vs Hyde

sábado Morning Whispers in the Well - Set Championship • Jan 24, 2026

LOSS

-22

vs Iñizgz

sábado Morning Whispers in the Well - Set Championship • Jan 24, 2026

WIN

+16

vs Luisin8D

sábado Morning Whispers in the Well - Set Championship • Jan 24, 2026

LOSS

-17

vs Muwe

Whispers in the Well Set Championship TPK • Jan 11, 2026

WIN

+20

vs Fandanguito

Whispers in the Well Set Championship TPK • Jan 11, 2026

LOSS

-19

vs Jeff

Whispers in the Well Set Championship TPK • Jan 11, 2026

LOSS

-20

vs Nobeatme

Whispers in the Well Set Championship TPK • Jan 11, 2026

WIN

+19

vs Adrián_SJ

sábado Morning Whispers in the Well - Set Championship • Jan 10, 2026

WIN

+30

vs Gabi

sábado Morning Whispers in the Well - Set Championship • Jan 10, 2026

LOSS

-18

Tournament History

sábado Morning Whispers in the Well - Set Championship #7

Doctor Ocio • Jan 24, 2026

Record: 1-2-1 • 11 players • Avg ELO: 1019

Whispers in the Well Set Championship TPK #8

TPK Hobby & Games SL • Jan 11, 2026

Record: 2-2-0 • 16 players • Avg ELO: 1026

sábado Morning Whispers in the Well - Set Championship #8

ZENTRAL GAMES • Jan 10, 2026

Record: 2-2-0 • 18 players • Avg ELO: 1017

Player Insights

Max Win Streak

Max Loss Streak

-13

ELO Gained

ELO Range

Strong Tournaments (60%+ WR)

Different Stores

Tournaments Played

Advanced Analytics

⚔️

Giant Killer Analysis

Upset Victories: 1/1

Upset Rate: 100.0%

Biggest Upset: +205 ELO

📈

ELO Momentum

Recent Trend: ➡️ Stable

Average Change: 0

Consistency: 100%

📅

Performance Patterns

Not enough data to determine patterns yet

⚡

Current Form

Current Streak: 2 Losses

Recent Form:

Recent Achievements

0 achievements earned

�

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

🎮 Achievement Categories

1-0

100% win rate

🤝 Occasional Opponent

❄️

Current Streak

Losses

📊

66%

ELO Percentile

vs All Players

📅

This Month

Matches Played

⚡

-1

Avg ELO Change

Per Match

Stores Played

Doctor Ocio

1 tournaments

TPK Hobby & Games SL

1 tournaments

ZENTRAL GAMES

1 tournaments

Most Faced Opponents

Opponent	Matches	Wins	Losses	Draws	Win Rate
AlejandroPP	1	0	0	1	0%
Hyde	1	0	1	0	0%
Iñizgz	1	1	0	0	100%
Luisin8D	1	0	1	0	0%
Muwe	1	1	0	0	100%
Fandanguito	1	0	1	0	0%
Jeff	1	0	1	0	0%
Nobeatme	1	1	0	0	100%
Adrián_SJ	1	1	0	0	100%
Gabi	1	0	1	0	0%

AlejandroPP

Matches

Wins

Losses

Draws

Win Rate

Hyde

Matches

Wins

Losses

Draws

Win Rate

Iñizgz

Matches

Wins

Losses

Draws

Win Rate

100%

Luisin8D

Matches

Wins

Losses

Draws

Win Rate

Muwe

Matches

Wins

Losses

Draws

Win Rate

100%

Fandanguito

Matches

Wins

Losses

Draws

Win Rate

Jeff

Matches

Wins

Losses

Draws

Win Rate

Nobeatme

Matches

Wins

Losses

Draws

Win Rate

100%

Adrián_SJ

Matches

Wins

Losses

Draws

Win Rate

100%

Gabi

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

Jadeita

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

AlejandroPP

Hyde

Iñizgz

Luisin8D

Muwe

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

🏆 Jadeita's Achievements