Back to Islas Canarias Leaderboard

SolRiX

#36

Total Matches: 21

Community: Islas Canarias

7 Wins 13 Losses 1 Draws

912

S10 End of Season ELO

1041

S10 Peak ELO

35.0%

Win Rate

ELO History

Match Outcome Constellation

✨

⭐

🌟

✨

💫

◯

Wins

Losses

Draws

⭐ Star size = ELO impact

Tournament Performance Profile

Performance Metrics

Consistency Rating

35.0%

ELO Growth -88

Tournament Dominance 1/4

Recent Matches

vs Mencho

6º ronda de circuito de moebius Core • Dec 19, 2025

LOSS

-13

vs Kolos04

6º ronda de circuito de moebius Core • Dec 19, 2025

LOSS

-16

vs Valsune

6º ronda de circuito de moebius Core • Dec 19, 2025

DRAW

vs Ruthally

Core. Circuito 3º ronda • Nov 29, 2025

WIN

+25

vs Mencho

Core. Circuito 3º ronda • Nov 29, 2025

LOSS

-15

vs Loritoo

Core. Circuito 3º ronda • Nov 29, 2025

WIN

+24

vs ¿ROBIN_NO_HOOD?

MADVERSE - Dumbo Challenge • Nov 16, 2025

LOSS

-18

vs [M7] damaneks

MADVERSE - Dumbo Challenge • Nov 16, 2025

LOSS

-15

vs ML_MORIENTES

MADVERSE - Dumbo Challenge • Nov 16, 2025

LOSS

-16

vs nickandmaki

MADVERSE - Dumbo Challenge • Nov 16, 2025

LOSS

-20

Tournament History

6º ronda de circuito de moebius Core #4

Libreria Moebius • Dec 19, 2025

Record: 0-2-1 • 4 players • Avg ELO: 1004

Core. Circuito 3º ronda #1

Libreria Moebius • Nov 29, 2025

Record: 2-1-0 • 4 players • Avg ELO: 979

MADVERSE - Dumbo Challenge #58

Victory Road • Nov 16, 2025

Record: 1-5-0 • 73 players • Avg ELO: 1019

Madverse Barcelona CCQ #141

Victory Road • Nov 15, 2025

Record: 4-5-0 • 325 players • Avg ELO: 1013

Player Insights

Max Win Streak

Max Loss Streak

-88

ELO Gained

132

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: 3 Losses

Recent Form:

Recent Achievements

4 achievements earned

📜

Street Rat

Play 5 matches in Season 8.

📖

The First Chapter

Play your first match.

🥇

First Victory

Win your first match.

🐍

Jafar's Recruit

Play 1 match in Season 8.

🎮 Achievement Categories

Seasonal_Participation

Participation

Special

🔍 View All Achievements

Top Rivalries

🎯

Mencho

2 matches played

0-2

0% win rate

🤝 Occasional Opponent

🎯

Kolos04

1 matches played

0-1

0% win rate

🤝 Occasional Opponent

⚔️

Valsune

1 matches played

0-0-1

0% win rate

🤝 Occasional Opponent

🏆

Ruthally

1 matches played

1-0

100% win rate

🤝 Occasional Opponent

🏆

Loritoo

1 matches played

1-0

100% win rate

🤝 Occasional Opponent

❄️

Current Streak

Losses

📊

61%

ELO Percentile

vs All Players

📅

This Month

Matches Played

⚡

-4

Avg ELO Change

Per Match

Stores Played

Libreria Moebius

2 tournaments

Victory Road

2 tournaments

Most Faced Opponents

Opponent	Matches	Wins	Losses	Draws	Win Rate
Mencho	2	0	2	0	0%
Kolos04	1	0	1	0	0%
Valsune	1	0	0	1	0%
Ruthally	1	1	0	0	100%
Loritoo	1	1	0	0	100%
¿ROBIN_NO_HOOD?	1	0	1	0	0%
[M7] damaneks	1	0	1	0	0%
ML_MORIENTES	1	0	1	0	0%
nickandmaki	1	0	1	0	0%
JuliB17	1	1	0	0	100%

Mencho

Matches

Wins

Losses

Draws

Win Rate

Kolos04

Matches

Wins

Losses

Draws

Win Rate

Valsune

Matches

Wins

Losses

Draws

Win Rate

Ruthally

Matches

Wins

Losses

Draws

Win Rate

100%

Loritoo

Matches

Wins

Losses

Draws

Win Rate

100%

¿ROBIN_NO_HOOD?

Matches

Wins

Losses

Draws

Win Rate

[M7] damaneks

Matches

Wins

Losses

Draws

Win Rate

ML_MORIENTES

Matches

Wins

Losses

Draws

Win Rate

nickandmaki

Matches

Wins

Losses

Draws

Win Rate

JuliB17

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

SolRiX

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

Mencho

Kolos04

Valsune

Ruthally

Loritoo

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

🏆 SolRiX's Achievements

Season 8 - Reign of Jafar

Global Achievements