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Markis.F

Total Matches: 18

Community: Levante

13 Wins 5 Losses

1130

S10 End of Season ELO

1131

S10 Peak ELO

72.2%

Win Rate

ELO History

Match Outcome Constellation

✨

⭐

🌟

✨

💫

◯

Wins

Losses

Draws

⭐ Star size = ELO impact

Tournament Performance Profile

Performance Metrics

Consistency Rating

72.2%

ELO Growth +130

Tournament Dominance 5/5

Recent Matches

vs Clares

LIGA SIMBA • Dec 18, 2025

WIN

+13

vs ❄️ Kumiho ❄️

LIGA SIMBA • Dec 18, 2025

LOSS

-12

vs Tenedor

LIGA SIMBA • Dec 18, 2025

WIN

+11

vs IcpMara

Liga Simba • Dec 11, 2025

WIN

+16

vs El Primo de la gran Mizuki

Liga Simba • Dec 11, 2025

WIN

+12

vs ❄️ Kumiho ❄️

Liga Simba • Dec 11, 2025

LOSS

-14

vs Mizuki

Liga Simba • Dec 11, 2025

WIN

+12

vs Cubitoito

LIGA SIMBA 4/12 • Dec 04, 2025

WIN

+18

vs Rubbyrubss

LIGA SIMBA 4/12 • Dec 04, 2025

WIN

+19

vs Elvira

LIGA SIMBA 4/12 • Dec 04, 2025

LOSS

-19

Tournament History

LIGA SIMBA #4

La Escotilla • Dec 18, 2025

Record: 2-1-0 • 8 players • Avg ELO: 1026

Liga Simba #2

La Escotilla • Dec 11, 2025

Record: 3-1-0 • 12 players • Avg ELO: 1014

LIGA SIMBA 4/12 #1

La Escotilla • Dec 04, 2025

Record: 3-1-0 • 9 players • Avg ELO: 1009

Liga Simba 27 de Noviembre 18:30h #1

La Escotilla • Nov 27, 2025

Record: 3-1-0 • 9 players • Avg ELO: 1006

Liga Simba #1

La Escotilla • Nov 13, 2025

Record: 2-1-0 • 6 players • Avg ELO: 1033

Player Insights

Max Win Streak

Max Loss Streak

+130

ELO Gained

151

ELO Range

Strong Tournaments (60%+ WR)

Different Stores

Tournaments Played

Advanced Analytics

⚔️

Giant Killer Analysis

No matches against higher-ranked opponents yet

📈

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

3 achievements earned

📚

A Tale for the Ages

Play 10 matches in Season 9.

📖

The Next Chapter

Play 5 matches in Season 9.

✨

Fabled Debut

Play 1 match in Season 9.

🎮 Achievement Categories

2-0

100% win rate

🤝 Occasional Opponent

🔥

Current Streak

Wins

📊

75%

ELO Percentile

vs All Players

📅

This Month

Matches Played

⚡

Avg ELO Change

Per Match

Stores Played

La Escotilla

5 tournaments

Most Faced Opponents

Opponent	Matches	Wins	Losses	Win Rate
❄️ Kumiho ❄️	3	1	2	33%
Tenedor	2	2	0	100%
Mizuki	2	2	0	100%
Cubitoito	2	1	1	50%
Rubbyrubss	2	2	0	100%
Yisus	2	1	1	50%
Clares	1	1	0	100%
IcpMara	1	1	0	100%
El Primo de la gran Mizuki	1	1	0	100%
Elvira	1	0	1	0%

❄️ Kumiho ❄️

Matches

Wins

Losses

Draws

Win Rate

33%

Tenedor

Matches

Wins

Losses

Draws

Win Rate

100%

Mizuki

Matches

Wins

Losses

Draws

Win Rate

100%

Cubitoito

Matches

Wins

Losses

Draws

Win Rate

50%

Rubbyrubss

Matches

Wins

Losses

Draws

Win Rate

100%

Yisus

Matches

Wins

Losses

Draws

Win Rate

50%

Clares

Matches

Wins

Losses

Draws

Win Rate

100%

IcpMara

Matches

Wins

Losses

Draws

Win Rate

100%

El Primo de la gran Mizuki

Matches

Wins

Losses

Draws

Win Rate

100%

Elvira

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

Markis.F

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

❄️ Kumiho ❄️

Tenedor

Mizuki

Cubitoito

Rubbyrubss

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

🏆 Markis.F's Achievements

Season 9 - Fabled