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TerraRuben

#144

Total Matches: 18

Community: Levante

5 Wins 11 Losses 2 Draws

946

S10 End of Season ELO

1000

S10 Peak ELO

31.2%

Win Rate

ELO History

Match Outcome Constellation

✨

⭐

🌟

✨

💫

◯

Wins

Losses

Draws

⭐ Star size = ELO impact

Tournament Performance Profile

Performance Metrics

Consistency Rating

31.2%

ELO Growth -54

Tournament Dominance 2/6

Recent Matches

vs Pandala93

FreakCorp Whispers 30/01 • Jan 30, 2026

LOSS

-13

vs Josan Agullo

FreakCorp Whispers 30/01 • Jan 30, 2026

DRAW

vs Rubén López

Saturday Morning Weekly Play (Constructed) • Jan 24, 2026

LOSS

-10

vs Azkan

Saturday Morning Weekly Play (Constructed) • Jan 24, 2026

WIN

+27

vs sara.ib

Saturday Morning Weekly Play (Constructed) • Jan 24, 2026

WIN

+20

vs FRAN-079

sábado Morning Weekly Play (Constructed) • Nov 29, 2025

LOSS

-12

vs NoctisSpain

sábado Morning Weekly Play (Constructed) • Nov 29, 2025

WIN

+22

vs amb05

sábado Morning Weekly Play (Constructed) • Nov 29, 2025

LOSS

-17

vs Jdelolmo

sábado Morning Weekly Play (Constructed) • Nov 29, 2025

LOSS

-13

vs Arsita107

LORCANA 27/11 • Nov 27, 2025

WIN

+20

Tournament History

FreakCorp Whispers 30/01 #5

FreakCorp • Jan 30, 2026

Record: 0-1-1 • 6 players • Avg ELO: 1043

Saturday Morning Weekly Play (Constructed) #3

MANA VORTEX SL • Jan 24, 2026

Record: 2-1-0 • 8 players • Avg ELO: 1013

sábado Morning Weekly Play (Constructed) #8

MANA VORTEX SL • Nov 29, 2025

Record: 1-3-0 • 11 players • Avg ELO: 1043

LORCANA 27/11 #1

MANA VORTEX SL • Nov 27, 2025

Record: 2-0-1 • 6 players • Avg ELO: 975

sábado Morning Weekly Play (Constructed) NR

MANA VORTEX SL • Nov 22, 2025

Record: 0-4-0 • 12 players • Avg ELO: 1044

LOCAL JUEVES NR

MANA VORTEX SL • Nov 20, 2025

Record: 0-2-0 • 5 players • Avg ELO: 987

Player Insights

Max Win Streak

Max Loss Streak

-54

ELO Gained

102

ELO Range

Strong Tournaments (60%+ WR)

Different Stores

Tournaments Played

Advanced Analytics

⚔️

Giant Killer Analysis

Upset Victories: 2/8

Upset Rate: 25.0%

Biggest Upset: +146 ELO

📈

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

4 achievements earned

🐰

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

Special

1 matches played

0-1

0% win rate

🤝 Occasional Opponent

❄️

Current Streak

Losses

📊

63%

ELO Percentile

vs All Players

📅

This Month

Matches Played

⚡

-3

Avg ELO Change

Per Match

Stores Played

MANA VORTEX SL

5 tournaments

FreakCorp

1 tournaments

Most Faced Opponents

Opponent	Matches	Wins	Losses	Draws	Win Rate
Jdelolmo	3	0	3	0	0%
Rubén López	2	0	2	0	0%
sara.ib	2	1	1	0	50%
Miguel angel	2	0	2	0	0%
Pandala93	1	0	1	0	0%
Josan Agullo	1	0	0	1	0%
Azkan	1	1	0	0	100%
FRAN-079	1	0	1	0	0%
NoctisSpain	1	1	0	0	100%
amb05	1	0	1	0	0%

Jdelolmo

Matches

Wins

Losses

Draws

Win Rate

Rubén López

Matches

Wins

Losses

Draws

Win Rate

sara.ib

Matches

Wins

Losses

Draws

Win Rate

50%

Miguel angel

Matches

Wins

Losses

Draws

Win Rate

Pandala93

Matches

Wins

Losses

Draws

Win Rate

Josan Agullo

Matches

Wins

Losses

Draws

Win Rate

Azkan

Matches

Wins

Losses

Draws

Win Rate

100%

FRAN-079

Matches

Wins

Losses

Draws

Win Rate

NoctisSpain

Matches

Wins

Losses

Draws

Win Rate

100%

amb05

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

TerraRuben

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

Jdelolmo

Rubén López

sara.ib

Miguel angel

Pandala93

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

🏆 TerraRuben's Achievements

Global Achievements

Season 8 - Reign of Jafar