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LectoraRebelde

#45

Total Matches: 19

Community: Sevilla-Cadiz

4 Wins 15 Losses

858

S10 End of Season ELO

1000

S10 Peak ELO

21.1%

Win Rate

ELO History

Match Outcome Constellation

✨

⭐

🌟

✨

💫

◯

Wins

Losses

Draws

⭐ Star size = ELO impact

Tournament Performance Profile

Performance Metrics

Consistency Rating

21.1%

ELO Growth -142

Tournament Dominance 0/5

Recent Matches

vs Salvi

Whispers in the Well - Set Championship 18/01/26 • Jan 18, 2026

WIN

+24

vs Abascal el mata 8🇪🇦

Whispers in the Well - Set Championship 18/01/26 • Jan 18, 2026

LOSS

-12

vs ICW Lito

Whispers in the Well - Set Championship 18/01/26 • Jan 18, 2026

LOSS

-7

vs Pavonshinigami

Whispers in the Well - Set Championship 18/01/26 • Jan 18, 2026

LOSS

-13

vs 🦄 Sanlaris

Torneo Solidario 28/12/25 • Dec 28, 2025

LOSS

-14

vs Mark

Torneo Solidario 28/12/25 • Dec 28, 2025

LOSS

-16

vs Raojayou

Torneo Solidario 28/12/25 • Dec 28, 2025

LOSS

-16

vs ICW Silthrim95

Torneo Solidario 28/12/25 • Dec 28, 2025

LOSS

-10

vs ursulaosa

Whisper in the Well 21-12-25 • Dec 21, 2025

LOSS

-17

vs Pavonshinigami

Whisper in the Well 21-12-25 • Dec 21, 2025

WIN

+22

Tournament History

Whispers in the Well - Set Championship 18/01/26 #24

Empire Games • Jan 18, 2026

Record: 1-3-0 • 29 players • Avg ELO: 1015

Torneo Solidario 28/12/25 NR

Empire Games • Dec 28, 2025

Record: 0-4-0 • 26 players • Avg ELO: 1009

Whisper in the Well 21-12-25 #6

Empire Games • Dec 21, 2025

Record: 1-3-0 • 9 players • Avg ELO: 998

Whisper in the Well 07/12/2025 #5

Empire Games • Dec 07, 2025

Record: 1-2-0 • 8 players • Avg ELO: 1025

Whispers in the Well 16/11/25 #11

Empire Games • Nov 16, 2025

Record: 1-3-0 • 14 players • Avg ELO: 989

Player Insights

Max Win Streak

Max Loss Streak

-142

ELO Gained

166

ELO Range

Strong Tournaments (60%+ WR)

Different Stores

Tournaments Played

Advanced Analytics

⚔️

Giant Killer Analysis

Upset Victories: 1/6

Upset Rate: 16.7%

Biggest Upset: +112 ELO

📈

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

8 achievements earned

✨

Fabled Debut

Play 1 match in Season 9.

🔥

Cunning Plan

Win 3 matches in a row in Season 8.

🔥

Tale of Triumph

Win 3 matches in a row.

📜

Street Rat

Play 5 matches in Season 8.

📖

The First Chapter

Play your first match.

🎮 Achievement Categories

Seasonal_Participation

Seasonal_Streak

Streak

Participation

1 matches played

0-1

0% win rate

🤝 Occasional Opponent

🔥

Current Streak

Wins

📊

57%

ELO Percentile

vs All Players

📅

This Month

Matches Played

⚡

-7

Avg ELO Change

Per Match

Stores Played

Empire Games

5 tournaments

Most Faced Opponents

Opponent	Matches	Wins	Losses	Win Rate
ICW Silthrim95	2	0	2	0%
Juasmas	2	0	2	0%
Salvi	1	1	0	100%
Abascal el mata 8🇪🇦	1	0	1	0%
ICW Lito	1	0	1	0%
Pavonshinigami	1	0	1	0%
🦄 Sanlaris	1	0	1	0%
Mark	1	0	1	0%
Raojayou	1	0	1	0%
ursulaosa	1	0	1	0%

ICW Silthrim95

Matches

Wins

Losses

Draws

Win Rate

Juasmas

Matches

Wins

Losses

Draws

Win Rate

Salvi

Matches

Wins

Losses

Draws

Win Rate

100%

Abascal el mata 8🇪🇦

Matches

Wins

Losses

Draws

Win Rate

ICW Lito

Matches

Wins

Losses

Draws

Win Rate

Pavonshinigami

Matches

Wins

Losses

Draws

Win Rate

🦄 Sanlaris

Matches

Wins

Losses

Draws

Win Rate

Mark

Matches

Wins

Losses

Draws

Win Rate

Raojayou

Matches

Wins

Losses

Draws

Win Rate

ursulaosa

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

LectoraRebelde

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

ICW Silthrim95

Juasmas

Salvi

Abascal el mata 8🇪🇦

ICW Lito

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

🏆 LectoraRebelde's Achievements

Season 9 - Fabled

Season 8 - Reign of Jafar

Global Achievements