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Silver

Total Matches: 18

Community: Guadalajara

4 Wins 12 Losses 2 Draws

903

S10 End of Season ELO

1000

S10 Peak ELO

25.0%

Win Rate

ELO History

Match Outcome Constellation

✨

⭐

🌟

✨

💫

◯

Wins

Losses

Draws

⭐ Star size = ELO impact

Tournament Performance Profile

Performance Metrics

Consistency Rating

25.0%

ELO Growth -97

Tournament Dominance 0/5

Recent Matches

vs Eca999

Jupi Guada Lorcana Semana • Jan 28, 2026

LOSS

-15

vs Princesa ninja

Jupi Guada Lorcana Semana • Jan 28, 2026

DRAW

vs Bailarina del agua

Jupi Guada Lorcana Semana • Jan 28, 2026

WIN

+22

vs Legendarys_Louly

Jupi Guada Lorcana Semana • Jan 28, 2026

LOSS

-14

vs LBT_D1AMANT1D1S

Libertalia Whispers in the Well - Set Championship • Jan 25, 2026

WIN

+26

vs Benrime

Libertalia Whispers in the Well - Set Championship • Jan 25, 2026

LOSS

-14

vs IBW_Goldor

Libertalia Whispers in the Well - Set Championship • Jan 25, 2026

LOSS

-14

vs Botijero 🌾

Libertalia Whispers in the Well - Set Championship • Jan 25, 2026

LOSS

-16

vs Legendarys_Amerzone

Jupi Guada Whispers in the Well - Championship • Jan 17, 2026

LOSS

-18

vs Legendarys_Lofby

Jupi Guada Whispers in the Well - Championship • Jan 17, 2026

LOSS

-16

Tournament History

Jupi Guada Lorcana Semana #8

JUPITER GUADALAJARA • Jan 28, 2026

Record: 1-2-1 • 13 players • Avg ELO: 971

Libertalia Whispers in the Well - Set Championship #19

Libertalia • Jan 25, 2026

Record: 1-3-0 • 28 players • Avg ELO: 1099

Jupi Guada Whispers in the Well - Championship #16

JUPITER GUADALAJARA • Jan 17, 2026

Record: 1-3-0 • 20 players • Avg ELO: 1048

jueves Evening Weekly Play (Constructed) #5

JUPITER GUADALAJARA • Jan 08, 2026

Record: 1-2-0 • 6 players • Avg ELO: 1021

Jupi Guada semanal #4

JUPITER GUADALAJARA • Dec 17, 2025

Record: 0-2-1 • 4 players • Avg ELO: 1016

Player Insights

Max Win Streak

Max Loss Streak

-97

ELO Gained

103

ELO Range

Strong Tournaments (60%+ WR)

Different Stores

Tournaments Played

Advanced Analytics

⚔️

Giant Killer Analysis

Upset Victories: 1/5

Upset Rate: 20.0%

Biggest Upset: +121 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

📊

60%

ELO Percentile

vs All Players

📅

This Month

Matches Played

⚡

-5

Avg ELO Change

Per Match

Stores Played

JUPITER GUADALAJARA

4 tournaments

Libertalia

1 tournaments

Most Faced Opponents

Opponent	Matches	Wins	Losses	Draws	Win Rate
Legendarys_Louly	3	0	2	1	0%
ZFG_Agus🎲🍀	2	0	2	0	0%
Eca999	1	0	1	0	0%
Princesa ninja	1	0	0	1	0%
Bailarina del agua	1	1	0	0	100%
LBT_D1AMANT1D1S	1	1	0	0	100%
Benrime	1	0	1	0	0%
IBW_Goldor	1	0	1	0	0%
Botijero 🌾	1	0	1	0	0%
Legendarys_Amerzone	1	0	1	0	0%

Legendarys_Louly

Matches

Wins

Losses

Draws

Win Rate

ZFG_Agus🎲🍀

Matches

Wins

Losses

Draws

Win Rate

Eca999

Matches

Wins

Losses

Draws

Win Rate

Princesa ninja

Matches

Wins

Losses

Draws

Win Rate

Bailarina del agua

Matches

Wins

Losses

Draws

Win Rate

100%

LBT_D1AMANT1D1S

Matches

Wins

Losses

Draws

Win Rate

100%

Benrime

Matches

Wins

Losses

Draws

Win Rate

IBW_Goldor

Matches

Wins

Losses

Draws

Win Rate

Botijero 🌾

Matches

Wins

Losses

Draws

Win Rate

Legendarys_Amerzone

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

Silver

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

Legendarys_Louly

ZFG_Agus🎲🍀

Eca999

Princesa ninja

Bailarina del agua

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

🏆 Silver's Achievements