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Antonio De Pablos

#176

Total Matches: 12

Community: Madrid

4 Wins 8 Losses

940

S10 End of Season ELO

1022

S10 Peak ELO

33.3%

Win Rate

ELO History

Match Outcome Constellation

✨

⭐

🌟

✨

💫

◯

Wins

Losses

Draws

⭐ Star size = ELO impact

Tournament Performance Profile

Performance Metrics

Consistency Rating

33.3%

ELO Growth -60

Tournament Dominance 0/4

Recent Matches

vs LM_ALONS

martes Evening Weekly Play (Constructed) • Dec 02, 2025

WIN

+20

vs LBT_Miky20hz

martes Evening Weekly Play (Constructed) • Dec 02, 2025

LOSS

-20

vs LBT_Zer0

martes Evening Weekly Play (Constructed) • Dec 02, 2025

LOSS

-22

vs IBW_Korkenzieher

Cholloliga jornada 1 • Nov 30, 2025

WIN

+23

vs [IAB] Dudels

Cholloliga jornada 1 • Nov 30, 2025

LOSS

-11

vs IBW_Miye

Cholloliga jornada 1 • Nov 30, 2025

LOSS

-16

vs BOLLITO🍓🍀

Torneo Aniversario Libertalia 23/11 • Nov 22, 2025

WIN

+16

vs LBT_Issel

Torneo Aniversario Libertalia 23/11 • Nov 22, 2025

LOSS

-14

vs LBT Pablo Magan

Torneo Aniversario Libertalia 23/11 • Nov 22, 2025

LOSS

-18

vs LBT_Creddish

Torneo Aniversario Libertalia 23/11 • Nov 22, 2025

LOSS

-20

Tournament History

martes Evening Weekly Play (Constructed) #4

Júpiter Juegos Alcorcón • Dec 02, 2025

Record: 1-2-0 • 9 players • Avg ELO: 973

Cholloliga jornada 1 #11

MICELION GAMES • Nov 30, 2025

Record: 1-2-0 • 18 players • Avg ELO: 1030

Torneo Aniversario Libertalia 23/11 #20

Libertalia • Nov 22, 2025

Record: 1-3-0 • 28 players • Avg ELO: 1028

jueves Evening Weekly Play (Constructed) #2

Portal Juegos • Nov 20, 2025

Record: 1-1-0 • 4 players • Avg ELO: 1036

Player Insights

Max Win Streak

Max Loss Streak

-60

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: 2 Losses

Recent Form:

Recent Achievements

0 achievements earned

�

No achievements yet - play some matches to start earning them!

🎮 Achievement Categories

0-1

0% win rate

🤝 Occasional Opponent

❄️

Current Streak

Losses

📊

63%

ELO Percentile

vs All Players

📅

This Month

Matches Played

⚡

-5

Avg ELO Change

Per Match

Stores Played

Júpiter Juegos Alcorcón

1 tournaments

MICELION GAMES

1 tournaments

Libertalia

1 tournaments

Portal Juegos

1 tournaments

Most Faced Opponents

Opponent	Matches	Wins	Losses	Win Rate
LM_ALONS	1	1	0	100%
LBT_Miky20hz	1	0	1	0%
LBT_Zer0	1	0	1	0%
IBW_Korkenzieher	1	1	0	100%
[IAB] Dudels	1	0	1	0%
IBW_Miye	1	0	1	0%
BOLLITO🍓🍀	1	1	0	100%
LBT_Issel	1	0	1	0%
LBT Pablo Magan	1	0	1	0%
LBT_Creddish	1	0	1	0%

LM_ALONS

Matches

Wins

Losses

Draws

Win Rate

100%

LBT_Miky20hz

Matches

Wins

Losses

Draws

Win Rate

LBT_Zer0

Matches

Wins

Losses

Draws

Win Rate

IBW_Korkenzieher

Matches

Wins

Losses

Draws

Win Rate

100%

[IAB] Dudels

Matches

Wins

Losses

Draws

Win Rate

IBW_Miye

Matches

Wins

Losses

Draws

Win Rate

BOLLITO🍓🍀

Matches

Wins

Losses

Draws

Win Rate

100%

LBT_Issel

Matches

Wins

Losses

Draws

Win Rate

LBT Pablo Magan

Matches

Wins

Losses

Draws

Win Rate

LBT_Creddish

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

Antonio De Pablos

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

LM_ALONS

LBT_Miky20hz

LBT_Zer0

IBW_Korkenzieher

[IAB] Dudels

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

🏆 Antonio De Pablos's Achievements