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Gianfranco

#31

Total Matches: 21

Community: Cataluña

7 Wins 6 Losses 8 Draws

1025

S10 End of Season ELO

1025

S10 Peak ELO

53.8%

Win Rate

ELO History

Match Outcome Constellation

✨

⭐

🌟

✨

💫

◯

Wins

Losses

Draws

⭐ Star size = ELO impact

Tournament Performance Profile

Performance Metrics

Consistency Rating

53.8%

ELO Growth +25

Tournament Dominance 1/7

Recent Matches

vs Laxiacephei

Whispers - 4 ROUND • Dec 06, 2025

WIN

+20

vs Daniel tuentieit

Whispers - 4 ROUND • Dec 06, 2025

WIN

+27

vs Quebim Procsis

Whispers - 4 ROUND • Dec 06, 2025

WIN

+17

vs Aleja

Liga Disney Whispers Hell • Dec 04, 2025

DRAW

vs malco85

Liga Disney Whispers Hell • Dec 04, 2025

DRAW

vs Rikku

Liga Disney Whispers Hell • Dec 04, 2025

DRAW

vs maloik

Liga Whispers in the well • Dec 04, 2025

LOSS

-16

vs Aleja

Liga Whispers in the well • Dec 04, 2025

DRAW

vs Laxiacephei

Whispers - 3 ROUND • Nov 27, 2025

LOSS

-19

vs Daniel tuentieit

Whispers - 3 ROUND • Nov 27, 2025

DRAW

Tournament History

Whispers - 4 ROUND #1

BCN Retroclass • Dec 06, 2025

Record: 3-0-0 • 8 players • Avg ELO: 992

Liga Disney Whispers Hell #4

LorcanosTCG • Dec 04, 2025

Record: 0-0-3 • 6 players • Avg ELO: 975

Liga Whispers in the well #6

LorcanosTCG • Dec 04, 2025

Record: 0-1-1 • 7 players • Avg ELO: 987

Whispers - 3 ROUND #2

BCN Retroclass • Nov 27, 2025

Record: 2-1-1 • 8 players • Avg ELO: 999

Whispers - 2 ROUND NR

BCN Retroclass • Nov 22, 2025

Record: 0-2-0 • 7 players • Avg ELO: 994

Torneo Disney Lorcana #4

LorcanosTCG • Nov 20, 2025

Record: 0-1-2 • 7 players • Avg ELO: 1016

Whispers - 1 ROUND #2

BCN Retroclass • Nov 14, 2025

Record: 2-1-1 • 9 players • Avg ELO: 987

Player Insights

Max Win Streak

Max Loss Streak

+25

ELO Gained

ELO Range

Strong Tournaments (60%+ WR)

Different Stores

Tournaments Played

Advanced Analytics

⚔️

Giant Killer Analysis

Upset Victories: 1/2

Upset Rate: 50.0%

Biggest Upset: +140 ELO

📈

ELO Momentum

Recent Trend: ➡️ Stable

Average Change: 0

Consistency: 100%

📅

Performance Patterns

Not enough data to determine patterns yet

⚡

Current Form

Current Streak: 3 Wins

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

Wins

📊

68%

ELO Percentile

vs All Players

📅

This Month

Matches Played

⚡

Avg ELO Change

Per Match

Stores Played

BCN Retroclass

4 tournaments

LorcanosTCG

3 tournaments

Most Faced Opponents

Opponent	Matches	Wins	Losses	Draws	Win Rate
Laxiacephei	3	2	1	0	67%
Daniel tuentieit	3	1	1	1	33%
Quebim Procsis	2	1	1	0	50%
Aleja	2	0	0	2	0%
malco85	2	0	0	2	0%
Sergi97	2	1	1	0	50%
Rikku	1	0	0	1	0%
maloik	1	0	1	0	0%
NkMarie	1	1	0	0	100%
TheInkredibles_Beltrandido	1	0	0	1	0%

Laxiacephei

Matches

Wins

Losses

Draws

Win Rate

67%

Daniel tuentieit

Matches

Wins

Losses

Draws

Win Rate

33%

Quebim Procsis

Matches

Wins

Losses

Draws

Win Rate

50%

Aleja

Matches

Wins

Losses

Draws

Win Rate

malco85

Matches

Wins

Losses

Draws

Win Rate

Sergi97

Matches

Wins

Losses

Draws

Win Rate

50%

Rikku

Matches

Wins

Losses

Draws

Win Rate

maloik

Matches

Wins

Losses

Draws

Win Rate

NkMarie

Matches

Wins

Losses

Draws

Win Rate

100%

TheInkredibles_Beltrandido

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

Gianfranco

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

Laxiacephei

Daniel tuentieit

Quebim Procsis

Aleja

malco85

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

🏆 Gianfranco's Achievements