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Cristian Sanz

#84

Total Matches: 7

Community: Madrid

4 Wins 3 Losses

1024

S10 End of Season ELO

1042

S10 Peak ELO

57.1%

Win Rate

ELO History

Match Outcome Constellation

✨

⭐

🌟

✨

💫

◯

Wins

Losses

Draws

⭐ Star size = ELO impact

Tournament Performance Profile

Performance Metrics

Consistency Rating

57.1%

ELO Growth +24

Tournament Dominance 1/2

Recent Matches

vs Ppro_Victor

Torneo Aniversario Libertalia 23/11 • Nov 22, 2025

LOSS

-17

vs LBT_Creddish

Torneo Aniversario Libertalia 23/11 • Nov 22, 2025

WIN

+18

vs Irene Mendoza

Torneo Aniversario Libertalia 23/11 • Nov 22, 2025

WIN

+18

vs LBT_STaiLk

Torneo Aniversario Libertalia 23/11 • Nov 22, 2025

LOSS

-18

vs mr.nate

domingo 15/11 Weekly Play (Constructed) • Nov 16, 2025

WIN

+19

vs manolitox

domingo 15/11 Weekly Play (Constructed) • Nov 16, 2025

WIN

+19

vs LBT_Elros

domingo 15/11 Weekly Play (Constructed) • Nov 16, 2025

LOSS

-14

Tournament History

Torneo Aniversario Libertalia 23/11 #10

Libertalia • Nov 22, 2025

Record: 2-2-0 • 28 players • Avg ELO: 1028

domingo 15/11 Weekly Play (Constructed) #2

Libertalia • Nov 16, 2025

Record: 2-1-0 • 8 players • Avg ELO: 1035

Player Insights

Max Win Streak

Max Loss Streak

+24

ELO Gained

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 Losses

Recent Form:

Recent Achievements

8 achievements earned

✨

Fabled Debut

Play 1 match in Season 9.

🐰

Down the Rabbit Hole

Experience a peculiar turn of events.

🧞

Friend Like Me

Play 10 matches in Season 8.

📚

Well-Versed

Play 10 matches.

📜

Street Rat

Play 5 matches in Season 8.

🎮 Achievement Categories

Seasonal_Participation

Special

1 matches played

1-0

100% win rate

🤝 Occasional Opponent

❄️

Current Streak

Losses

📊

68%

ELO Percentile

vs All Players

📅

This Month

Matches Played

⚡

Avg ELO Change

Per Match

Stores Played

Libertalia

2 tournaments

Most Faced Opponents

Opponent	Matches	Wins	Losses	Win Rate
Ppro_Victor	1	0	1	0%
LBT_Creddish	1	1	0	100%
Irene Mendoza	1	1	0	100%
LBT_STaiLk	1	0	1	0%
mr.nate	1	1	0	100%
manolitox	1	1	0	100%
LBT_Elros	1	0	1	0%

Ppro_Victor

Matches

Wins

Losses

Draws

Win Rate

LBT_Creddish

Matches

Wins

Losses

Draws

Win Rate

100%

Irene Mendoza

Matches

Wins

Losses

Draws

Win Rate

100%

LBT_STaiLk

Matches

Wins

Losses

Draws

Win Rate

mr.nate

Matches

Wins

Losses

Draws

Win Rate

100%

manolitox

Matches

Wins

Losses

Draws

Win Rate

100%

LBT_Elros

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

Cristian Sanz

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

Ppro_Victor

LBT_Creddish

Irene Mendoza

LBT_STaiLk

mr.nate

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

🏆 Cristian Sanz's Achievements

Season 9 - Fabled

Global Achievements

Season 8 - Reign of Jafar