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Rikku

#32

Total Matches: 28

Community: Cataluña

11 Wins 9 Losses 8 Draws

1030

S10 End of Season ELO

1051

S10 Peak ELO

55.0%

Win Rate

ELO History

Match Outcome Constellation

✨

⭐

🌟

✨

💫

◯

Wins

Losses

Draws

⭐ Star size = ELO impact

Tournament Performance Profile

Performance Metrics

Consistency Rating

55.0%

ELO Growth +30

Tournament Dominance 2/7

Recent Matches

vs Lili Hikari

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

WIN

+15

vs Aleja

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

LOSS

-21

vs XodiseyX

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

WIN

+15

vs Aleja

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

WIN

+18

vs malco85

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

WIN

+20

vs DT_ChopSueii

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

LOSS

-11

vs XodiseyX

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

DRAW

vs TheInkredibles_Lucky

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

LOSS

-21

vs Gianfranco

Liga Disney Whispers Hell • Dec 04, 2025

DRAW

vs Aleja

Liga Disney Whispers Hell • Dec 04, 2025

WIN

+21

Tournament History

jueves Evening Weekly Play (Constructed) #2

LorcanosTCG • Dec 11, 2025

Record: 1-1-0 • 6 players • Avg ELO: 965

jueves Afternoon Weekly Play (Constructed) #1

LorcanosTCG • Dec 11, 2025

Record: 3-0-0 • 4 players • Avg ELO: 968

domingo Afternoon Weekly Play (Constructed) #7

LorcanosTCG • Dec 07, 2025

Record: 0-2-1 • 9 players • Avg ELO: 1057

Liga Disney Whispers Hell #1

LorcanosTCG • Dec 04, 2025

Record: 2-0-1 • 6 players • Avg ELO: 983

Liga Whispers in the well #1

LorcanosTCG • Dec 04, 2025

Record: 1-0-2 • 7 players • Avg ELO: 994

Madverse Barcelona CCQ #204

Victory Road • Nov 15, 2025

Record: 3-6-0 • 325 players • Avg ELO: 1013

Presentación Disney Lorcana 2 Whispers #7

LorcanosTCG • Nov 09, 2025

Record: 1-0-4 • 22 players • Avg ELO: 986

Player Insights

Max Win Streak

Max Loss Streak

+30

ELO Gained

ELO Range

Strong Tournaments (60%+ WR)

Different Stores

Tournaments Played

Advanced Analytics

⚔️

Giant Killer Analysis

Upset Victories: 0/1

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: 1 Wins

Recent Form:

Recent Achievements

2 achievements earned

📖

The Next Chapter

Play 5 matches in Season 9.

✨

Fabled Debut

Play 1 match in Season 9.

🎮 Achievement Categories

0-1

0% win rate

🤝 Occasional Opponent

🔥

Current Streak

Wins

📊

69%

ELO Percentile

vs All Players

📅

This Month

Matches Played

⚡

Avg ELO Change

Per Match

Stores Played

LorcanosTCG

6 tournaments

Victory Road

1 tournaments

Most Faced Opponents

Opponent	Matches	Wins	Losses	Draws	Win Rate
Aleja	4	2	1	1	50%
Lili Hikari	3	1	0	2	33%
malco85	3	3	0	0	100%
XodiseyX	2	1	0	1	50%
DT_ChopSueii	1	0	1	0	0%
TheInkredibles_Lucky	1	0	1	0	0%
Gianfranco	1	0	0	1	0%
Davinho	1	0	1	0	0%
BRXL_Ellipanda	1	1	0	0	100%
Frunocencido	1	1	0	0	100%

Aleja

Matches

Wins

Losses

Draws

Win Rate

50%

Lili Hikari

Matches

Wins

Losses

Draws

Win Rate

33%

malco85

Matches

Wins

Losses

Draws

Win Rate

100%

XodiseyX

Matches

Wins

Losses

Draws

Win Rate

50%

DT_ChopSueii

Matches

Wins

Losses

Draws

Win Rate

TheInkredibles_Lucky

Matches

Wins

Losses

Draws

Win Rate

Gianfranco

Matches

Wins

Losses

Draws

Win Rate

Davinho

Matches

Wins

Losses

Draws

Win Rate

BRXL_Ellipanda

Matches

Wins

Losses

Draws

Win Rate

100%

Frunocencido

Matches

Wins

Losses

Draws

Win Rate

100%

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

Rikku

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

Aleja

Lili Hikari

malco85

XodiseyX

DT_ChopSueii

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

🏆 Rikku's Achievements

Season 9 - Fabled