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Khay

#22

Total Matches: 10

Community: Islas Baleares

3 Wins 7 Losses

953

S10 End of Season ELO

1003

S10 Peak ELO

30.0%

Win Rate

ELO History

Match Outcome Constellation

✨

⭐

🌟

✨

💫

◯

Wins

Losses

Draws

⭐ Star size = ELO impact

Tournament Performance Profile

Performance Metrics

Consistency Rating

30.0%

ELO Growth -47

Tournament Dominance 0/3

Recent Matches

vs Magnus_90

Cooperativo ~ Night Weekly Play (Constructed) • Dec 05, 2025

WIN

+20

vs LNT_Poncio

Cooperativo ~ Night Weekly Play (Constructed) • Dec 05, 2025

LOSS

-9

vs Byneikerz

Cooperativo ~ Night Weekly Play (Constructed) • Dec 05, 2025

LOSS

-11

vs Brillantelibelula06

Cooperativo ~ Night Weekly Play (Constructed) • Dec 05, 2025

WIN

+22

vs Brillantelibelula06

Magic Mallorca Miercoles Evening Weekly Play (Constructed) • Dec 03, 2025

LOSS

-18

vs Adrián Kaulai

Magic Mallorca Miercoles Evening Weekly Play (Constructed) • Dec 03, 2025

LOSS

-18

vs LNT_Velveck

viernes Afternoon Weekly Play (Constructed) • Nov 21, 2025

LOSS

-16

vs Simbala 🦁

viernes Afternoon Weekly Play (Constructed) • Nov 21, 2025

LOSS

-15

vs LNT_WillyPanda

viernes Afternoon Weekly Play (Constructed) • Nov 21, 2025

LOSS

-17

vs alexgs

viernes Afternoon Weekly Play (Constructed) • Nov 21, 2025

WIN

+20

Tournament History

Cooperativo ~ Night Weekly Play (Constructed) #6

The Gathering Mallorca • Dec 05, 2025

Record: 2-2-0 • 15 players • Avg ELO: 1017

Magic Mallorca Miercoles Evening Weekly Play (Constructed) NR

Magic Mallorca • Dec 03, 2025

Record: 0-2-0 • 5 players • Avg ELO: 1022

viernes Afternoon Weekly Play (Constructed) #10

The Gathering Mallorca • Nov 21, 2025

Record: 1-3-0 • 14 players • Avg ELO: 1014

Player Insights

Max Win Streak

Max Loss Streak

-47

ELO Gained

ELO Range

Strong Tournaments (60%+ WR)

Different Stores

Tournaments Played

Advanced Analytics

⚔️

Giant Killer Analysis

Upset Victories: 0/2

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: 1 Wins

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

Wins

📊

64%

ELO Percentile

vs All Players

📅

This Month

Matches Played

⚡

-5

Avg ELO Change

Per Match

Stores Played

The Gathering Mallorca

2 tournaments

Magic Mallorca

1 tournaments

Most Faced Opponents

Opponent	Matches	Wins	Losses	Win Rate
Brillantelibelula06	2	1	1	50%
Magnus_90	1	1	0	100%
LNT_Poncio	1	0	1	0%
Byneikerz	1	0	1	0%
Adrián Kaulai	1	0	1	0%
LNT_Velveck	1	0	1	0%
Simbala 🦁	1	0	1	0%
LNT_WillyPanda	1	0	1	0%
alexgs	1	1	0	100%

Brillantelibelula06

Matches

Wins

Losses

Draws

Win Rate

50%

Magnus_90

Matches

Wins

Losses

Draws

Win Rate

100%

LNT_Poncio

Matches

Wins

Losses

Draws

Win Rate

Byneikerz

Matches

Wins

Losses

Draws

Win Rate

Adrián Kaulai

Matches

Wins

Losses

Draws

Win Rate

LNT_Velveck

Matches

Wins

Losses

Draws

Win Rate

Simbala 🦁

Matches

Wins

Losses

Draws

Win Rate

LNT_WillyPanda

Matches

Wins

Losses

Draws

Win Rate

alexgs

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

Khay

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

Brillantelibelula06

Magnus_90

LNT_Poncio

Byneikerz

Adrián Kaulai

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

🏆 Khay's Achievements