Back to Cataluña Leaderboard

Pep T

#132

Total Matches: 14

Community: Cataluña

0 Wins 9 Losses 5 Draws

849

S10 End of Season ELO

1000

S10 Peak ELO

0.0%

Win Rate

ELO History

Match Outcome Constellation

✨

⭐

🌟

✨

💫

◯

Wins

Losses

Draws

⭐ Star size = ELO impact

Tournament Performance Profile

Performance Metrics

Consistency Rating

0.0%

ELO Growth -151

Tournament Dominance 0/4

Recent Matches

vs nuriacp

⚔️✨💫 Whispers - FINAL ROUND • Jan 10, 2026

DRAW

vs Daniel tuentieit

⚔️✨💫 Whispers - FINAL ROUND • Jan 10, 2026

LOSS

-8

vs Tenuta

⚔️✨💫 Whispers - FINAL ROUND • Jan 10, 2026

LOSS

-8

vs pachyloder

⚔️✨💫Whispers - 7 ROUND • Jan 03, 2026

DRAW

vs Quebim Procsis

⚔️✨💫Whispers - 7 ROUND • Jan 03, 2026

LOSS

-17

vs nuriacp

⚔️✨💫Whispers - 7 ROUND • Jan 03, 2026

LOSS

-16

vs Sergi97

Whispers - 5 ROUND • Dec 12, 2025

LOSS

-20

vs nuriacp

Whispers - 5 ROUND • Dec 12, 2025

DRAW

vs Laxiacephei

Whispers - 5 ROUND • Dec 12, 2025

LOSS

-16

vs pachyloder

Whispers - 5 ROUND • Dec 12, 2025

DRAW

Tournament History

⚔️✨💫 Whispers - FINAL ROUND #7

BCN Retroclass • Jan 10, 2026

Record: 0-2-1 • 9 players • Avg ELO: 988

⚔️✨💫Whispers - 7 ROUND #7

BCN Retroclass • Jan 03, 2026

Record: 0-2-1 • 8 players • Avg ELO: 949

Whispers - 5 ROUND #11

BCN Retroclass • Dec 12, 2025

Record: 0-2-2 • 12 players • Avg ELO: 985

Whispers - 3 ROUND #7

BCN Retroclass • Nov 27, 2025

Record: 0-3-1 • 8 players • Avg ELO: 995

Player Insights

Max Win Streak

Max Loss Streak

-151

ELO Gained

151

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: 9 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

📊

57%

ELO Percentile

vs All Players

📅

This Month

Matches Played

⚡

-11

Avg ELO Change

Per Match

Stores Played

BCN Retroclass

4 tournaments

Most Faced Opponents

Opponent	Matches	Losses	Draws	Win Rate
nuriacp	3	1	2	0%
pachyloder	2	0	2	0%
Quebim Procsis	2	2	0	0%
Sergi97	2	1	1	0%
Daniel tuentieit	1	1	0	0%
Tenuta	1	1	0	0%
Laxiacephei	1	1	0	0%
Danip	1	1	0	0%
NkMarie	1	1	0	0%

nuriacp

Matches

Wins

Losses

Draws

Win Rate

pachyloder

Matches

Wins

Losses

Draws

Win Rate

Quebim Procsis

Matches

Wins

Losses

Draws

Win Rate

Sergi97

Matches

Wins

Losses

Draws

Win Rate

Daniel tuentieit

Matches

Wins

Losses

Draws

Win Rate

Tenuta

Matches

Wins

Losses

Draws

Win Rate

Laxiacephei

Matches

Wins

Losses

Draws

Win Rate

Danip

Matches

Wins

Losses

Draws

Win Rate

NkMarie

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

Pep T

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

nuriacp

pachyloder

Quebim Procsis

Sergi97

Daniel tuentieit

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

🏆 Pep T's Achievements