Back to Cataluña Leaderboard

XodiseyX

#87

Total Matches: 20

Community: Cataluña

2 Wins 11 Losses 7 Draws

867

S10 End of Season ELO

1000

S10 Peak ELO

15.4%

Win Rate

ELO History

Match Outcome Constellation

✨

⭐

🌟

✨

💫

◯

Wins

Losses

Draws

⭐ Star size = ELO impact

Tournament Performance Profile

Performance Metrics

Consistency Rating

15.4%

ELO Growth -133

Tournament Dominance 0/6

Recent Matches

vs Lili Hikari

jueves Evening Weekly Play (Constructed) • Dec 11, 2025

LOSS

-18

vs Plana

jueves Evening Weekly Play (Constructed) • Dec 11, 2025

LOSS

-14

vs Rikku

jueves Afternoon Weekly Play (Constructed) • Dec 11, 2025

LOSS

-15

vs malco85

jueves Afternoon Weekly Play (Constructed) • Dec 11, 2025

WIN

+25

vs Aleja

jueves Afternoon Weekly Play (Constructed) • Dec 11, 2025

LOSS

-14

vs DT_ChopSueii

domingo Afternoon Weekly Play (Constructed) • Dec 07, 2025

LOSS

-9

vs Rikku

domingo Afternoon Weekly Play (Constructed) • Dec 07, 2025

DRAW

vs Ferran Val

domingo Afternoon Weekly Play (Constructed) • Dec 07, 2025

LOSS

-12

vs TheInkredibles_Lucky

domingo Afternoon Weekly Play (Constructed) • Dec 07, 2025

LOSS

-15

vs SloiD

Liga Whispers In the hell • Nov 13, 2025

DRAW

Tournament History

jueves Evening Weekly Play (Constructed) NR

LorcanosTCG • Dec 11, 2025

Record: 0-2-0 • 6 players • Avg ELO: 965

jueves Afternoon Weekly Play (Constructed) #2

LorcanosTCG • Dec 11, 2025

Record: 1-2-0 • 4 players • Avg ELO: 968

domingo Afternoon Weekly Play (Constructed) #7

LorcanosTCG • Dec 07, 2025

Record: 0-3-1 • 9 players • Avg ELO: 1057

Liga Whispers In the hell #4

LorcanosTCG • Nov 13, 2025

Record: 0-2-1 • 4 players • Avg ELO: 947

Liga Whispers in the well lol #3

LorcanosTCG • Nov 13, 2025

Record: 0-1-2 • 4 players • Avg ELO: 934

Presentación Disney Lorcana 2 Whispers #8

LorcanosTCG • Nov 09, 2025

Record: 1-1-3 • 22 players • Avg ELO: 986

Player Insights

Max Win Streak

Max Loss Streak

-133

ELO Gained

133

ELO Range

Strong Tournaments (60%+ WR)

Different Stores

Tournaments Played

Advanced Analytics

⚔️

Giant Killer Analysis

Upset Victories: 1/3

Upset Rate: 33.3%

Biggest Upset: +106 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

0-0-2

0% win rate

🤝 Occasional Opponent

❄️

Current Streak

Losses

📊

58%

ELO Percentile

vs All Players

📅

This Month

Matches Played

⚡

-7

Avg ELO Change

Per Match

Stores Played

LorcanosTCG

6 tournaments

Most Faced Opponents

Opponent	Matches	Wins	Losses	Draws	Win Rate
Lili Hikari	2	0	2	0	0%
Rikku	2	0	1	1	0%
SloiD	2	0	0	2	0%
Elifrefer	2	0	2	0	0%
Judator	2	0	0	2	0%
Plana	1	0	1	0	0%
malco85	1	1	0	0	100%
Aleja	1	0	1	0	0%
DT_ChopSueii	1	0	1	0	0%
Ferran Val	1	0	1	0	0%

Lili Hikari

Matches

Wins

Losses

Draws

Win Rate

Rikku

Matches

Wins

Losses

Draws

Win Rate

SloiD

Matches

Wins

Losses

Draws

Win Rate

Elifrefer

Matches

Wins

Losses

Draws

Win Rate

Judator

Matches

Wins

Losses

Draws

Win Rate

Plana

Matches

Wins

Losses

Draws

Win Rate

malco85

Matches

Wins

Losses

Draws

Win Rate

100%

Aleja

Matches

Wins

Losses

Draws

Win Rate

DT_ChopSueii

Matches

Wins

Losses

Draws

Win Rate

Ferran Val

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

XodiseyX

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

Lili Hikari

Rikku

SloiD

Elifrefer

Judator

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

🏆 XodiseyX's Achievements