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Alberto P.

#141

Total Matches: 15

Community: Levante

3 Wins 6 Losses 6 Draws

948

S10 End of Season ELO

1000

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 -52

Tournament Dominance 0/4

Recent Matches

vs Josega

Thursday Afternoon Weekly Play (Constructed) • Jan 29, 2026

DRAW

vs Tokipa

Thursday Afternoon Weekly Play (Constructed) • Jan 29, 2026

DRAW

vs Joan Olivert

Thursday Afternoon Weekly Play (Constructed) • Jan 29, 2026

LOSS

-28

vs Alberto Okko

Thursday Afternoon Weekly Play (Constructed) • Jan 29, 2026

DRAW

vs Miguel

domingo Morning Whispers in the Well - Set Championship • Jan 25, 2026

LOSS

-18

vs Agus

domingo Morning Whispers in the Well - Set Championship • Jan 25, 2026

WIN

+22

vs Parra

domingo Morning Whispers in the Well - Set Championship • Jan 25, 2026

LOSS

-16

vs Lola

domingo Morning Whispers in the Well - Set Championship • Jan 25, 2026

WIN

+25

vs Parra

jueves Evening Weekly Play (Constructed) • Jan 15, 2026

DRAW

vs Josega

jueves Evening Weekly Play (Constructed) • Jan 15, 2026

DRAW

Tournament History

Thursday Afternoon Weekly Play (Constructed) #11

Saruman Games SC • Jan 29, 2026

Record: 0-1-3 • 13 players • Avg ELO: 1015

domingo Morning Whispers in the Well - Set Championship #12

Saruman Games SC • Jan 25, 2026

Record: 2-2-0 • 23 players • Avg ELO: 1061

jueves Evening Weekly Play (Constructed) #5

Saruman Games SC • Jan 15, 2026

Record: 1-1-2 • 11 players • Avg ELO: 1025

jueves Evening Weekly Play (Constructed) #9

Saruman Games SC • Jan 08, 2026

Record: 0-2-1 • 11 players • Avg ELO: 1031

Player Insights

Max Win Streak

Max Loss Streak

-52

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

6 achievements earned

✨

Fabled Debut

Play 1 match in Season 9.

📚

Well-Versed

Play 10 matches.

🧞

Friend Like Me

Play 10 matches in Season 8.

📜

Street Rat

Play 5 matches in Season 8.

📖

The First Chapter

Play your first match.

🎮 Achievement Categories

Seasonal_Participation

Participation

🔍 View All Achievements

Top Rivalries

⚔️

Josega

2 matches played

0-0-2

0% win rate

🤝 Occasional Opponent

🎯

Alberto Okko

2 matches played

0-1-1

0% win rate

🤝 Occasional Opponent

🏆

Agus

2 matches played

1-0-1

50% win rate

🤝 Occasional Opponent

🎯

Parra

2 matches played

0-1-1

0% win rate

🤝 Occasional Opponent

⚔️

Tokipa

1 matches played

0-0-1

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

Saruman Games SC

4 tournaments

Most Faced Opponents

Opponent	Matches	Wins	Losses	Draws	Win Rate
Josega	2	0	0	2	0%
Alberto Okko	2	0	1	1	0%
Agus	2	1	0	1	50%
Parra	2	0	1	1	0%
Tokipa	1	0	0	1	0%
Joan Olivert	1	0	1	0	0%
Miguel	1	0	1	0	0%
Lola	1	1	0	0	100%
Jaescry	1	1	0	0	100%
Dok	1	0	1	0	0%

Josega

Matches

Wins

Losses

Draws

Win Rate

Alberto Okko

Matches

Wins

Losses

Draws

Win Rate

Agus

Matches

Wins

Losses

Draws

Win Rate

50%

Parra

Matches

Wins

Losses

Draws

Win Rate

Tokipa

Matches

Wins

Losses

Draws

Win Rate

Joan Olivert

Matches

Wins

Losses

Draws

Win Rate

Miguel

Matches

Wins

Losses

Draws

Win Rate

Lola

Matches

Wins

Losses

Draws

Win Rate

100%

Jaescry

Matches

Wins

Losses

Draws

Win Rate

100%

Dok

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

Alberto P.

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

Josega

Alberto Okko

Agus

Parra

Tokipa

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

🏆 Alberto P.'s Achievements

Season 9 - Fabled

Global Achievements

Season 8 - Reign of Jafar