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Caballero Meeple

#44

Total Matches: 14

Community: Castilla y León

2 Wins 11 Losses 1 Draws

851

S10 End of Season ELO

1021

S10 Peak ELO

15.4%

Win Rate

ELO History

Match Outcome Constellation

✨

⭐

🌟

✨

💫

◯

Wins

Losses

Draws

⭐ Star size = ELO impact

Tournament Performance Profile

Performance Metrics

Consistency Rating

15.4%

ELO Growth -149

Tournament Dominance 0/4

Recent Matches

vs DD_Penguinsan

Championship Latveria Lorcana • Jan 17, 2026

LOSS

-13

vs Sanctuary

Championship Latveria Lorcana • Jan 17, 2026

LOSS

-12

vs LBT_Miky20hz

Championship Latveria Lorcana • Jan 17, 2026

LOSS

-12

vs Rupiberto77

Championship Latveria Lorcana • Jan 17, 2026

LOSS

-16

vs Platyrynkoss

Domingo 4 construido Whisper Latveria • Dec 31, 2025

LOSS

-20

vs DD_Penguinsan

Domingo 4 construido Whisper Latveria • Dec 31, 2025

LOSS

-16

vs Kathesly

Domingo 4 construido Whisper Latveria • Dec 31, 2025

LOSS

-13

vs wilifriki

construido domingo 21 Whisper in well • Dec 21, 2025

LOSS

-18

vs Platyrynkoss

construido domingo 21 Whisper in well • Dec 21, 2025

DRAW

vs DD_Penguinsan

construido domingo 21 Whisper in well • Dec 21, 2025

LOSS

-21

Tournament History

Championship Latveria Lorcana NR

Latveria • Jan 17, 2026

Record: 0-4-0 • 29 players • Avg ELO: 1032

Domingo 4 construido Whisper Latveria NR

Latveria • Dec 31, 2025

Record: 0-3-0 • 9 players • Avg ELO: 1042

construido domingo 21 Whisper in well #6

Latveria • Dec 21, 2025

Record: 0-2-1 • 6 players • Avg ELO: 1018

Domingo 7 construido Whisper #7

Latveria • Dec 07, 2025

Record: 2-2-0 • 16 players • Avg ELO: 989

Player Insights

Max Win Streak

Max Loss Streak

-149

ELO Gained

170

ELO Range

Strong Tournaments (60%+ WR)

Different Stores

Tournaments Played

Advanced Analytics

⚔️

Giant Killer Analysis

Upset Victories: 0/4

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: 10 Losses

Recent Form:

Recent Achievements

5 achievements earned

✨

Fabled Debut

Play 1 match in Season 9.

🐰

Down the Rabbit Hole

Experience a peculiar turn of events.

📜

Street Rat

Play 5 matches in Season 8.

📖

The First Chapter

Play your first match.

🐍

Jafar's Recruit

Play 1 match in Season 8.

🎮 Achievement Categories

Seasonal_Participation

1 matches played

0-1

0% win rate

🤝 Occasional Opponent

❄️

Current Streak

Losses

📊

57%

ELO Percentile

vs All Players

📅

This Month

Matches Played

⚡

-11

Avg ELO Change

Per Match

Stores Played

Latveria

4 tournaments

Most Faced Opponents

Opponent	Matches	Wins	Losses	Draws	Win Rate
DD_Penguinsan	3	0	3	0	0%
Platyrynkoss	3	0	2	1	0%
Sanctuary	2	0	2	0	0%
LBT_Miky20hz	1	0	1	0	0%
Rupiberto77	1	0	1	0	0%
Kathesly	1	0	1	0	0%
wilifriki	1	0	1	0	0%
Castilla	1	1	0	0	100%
Jolly Scribe	1	1	0	0	100%

DD_Penguinsan

Matches

Wins

Losses

Draws

Win Rate

Platyrynkoss

Matches

Wins

Losses

Draws

Win Rate

Sanctuary

Matches

Wins

Losses

Draws

Win Rate

LBT_Miky20hz

Matches

Wins

Losses

Draws

Win Rate

Rupiberto77

Matches

Wins

Losses

Draws

Win Rate

Kathesly

Matches

Wins

Losses

Draws

Win Rate

wilifriki

Matches

Wins

Losses

Draws

Win Rate

Castilla

Matches

Wins

Losses

Draws

Win Rate

100%

Jolly Scribe

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

Caballero Meeple

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

DD_Penguinsan

Platyrynkoss

Sanctuary

LBT_Miky20hz

Rupiberto77

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

🏆 Caballero Meeple's Achievements

Season 9 - Fabled

Global Achievements

Season 8 - Reign of Jafar