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MisterioGS

#106

Total Matches: 13

Community: Levante

4 Wins 9 Losses

946

S10 End of Season ELO

1001

S10 Peak ELO

30.8%

Win Rate

ELO History

Match Outcome Constellation

✨

⭐

🌟

✨

💫

◯

Wins

Losses

Draws

⭐ Star size = ELO impact

Tournament Performance Profile

Performance Metrics

Consistency Rating

30.8%

ELO Growth -54

Tournament Dominance 0/4

Recent Matches

vs User19260

Liga Lorcana 3 de diciembre Zacatrus! Valencia • Dec 03, 2025

WIN

+23

vs TS_Hearene

Liga Lorcana 3 de diciembre Zacatrus! Valencia • Dec 03, 2025

LOSS

-13

vs LLMM_Ramon

Liga Lorcana 3 de diciembre Zacatrus! Valencia • Dec 03, 2025

LOSS

-12

vs Mc

Liga Lorcana 3 de diciembre Zacatrus! Valencia • Dec 03, 2025

WIN

+26

vs TS_Hearene

Liga Lorcana 26 de noviembre Zacatrus! Valencia • Nov 26, 2025

LOSS

-15

vs TS_RDurban

Liga Lorcana 26 de noviembre Zacatrus! Valencia • Nov 26, 2025

LOSS

-11

vs Shinobana

Liga Lorcana 19 de noviembre Zacatrus! Valencia • Nov 19, 2025

WIN

+24

vs TS_Hearene

Liga Lorcana 19 de noviembre Zacatrus! Valencia • Nov 19, 2025

LOSS

-18

vs Alex

Liga Lorcana 19 de noviembre Zacatrus! Valencia • Nov 19, 2025

LOSS

-20

vs Shinobana

Liga Lorcana 12 de noviembre Zacatrus! Valencia • Nov 12, 2025

LOSS

-20

Tournament History

Liga Lorcana 3 de diciembre Zacatrus! Valencia #5

Zacatrus! Valencia • Dec 03, 2025

Record: 2-2-0 • 9 players • Avg ELO: 1015

Liga Lorcana 26 de noviembre Zacatrus! Valencia NR

Zacatrus! Valencia • Nov 26, 2025

Record: 0-2-0 • 9 players • Avg ELO: 1015

Liga Lorcana 19 de noviembre Zacatrus! Valencia #6

Zacatrus! Valencia • Nov 19, 2025

Record: 1-2-0 • 9 players • Avg ELO: 1015

Liga Lorcana 12 de noviembre Zacatrus! Valencia #6

Zacatrus! Valencia • Nov 12, 2025

Record: 1-3-0 • 9 players • Avg ELO: 1015

Player Insights

Max Win Streak

Max Loss Streak

-54

ELO Gained

ELO Range

Strong Tournaments (60%+ WR)

Different Stores

Tournaments Played

Advanced Analytics

⚔️

Giant Killer Analysis

Upset Victories: 1/4

Upset Rate: 25.0%

Biggest Upset: +124 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

6 achievements earned

📚

Well-Versed

Play 10 matches.

🐰

Down the Rabbit Hole

Experience a peculiar turn of events.

🧞

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

Participation

Special

Seasonal_Participation

🔍 View All Achievements

Top Rivalries

🎯

TS_Hearene

3 matches played

0-3

0% win rate

🤝 Occasional Opponent

⚔️

User19260

2 matches played

1-1

50% win rate

🤝 Occasional Opponent

🎯

TS_RDurban

2 matches played

0-2

0% win rate

🤝 Occasional Opponent

⚔️

Shinobana

2 matches played

1-1

50% win rate

🤝 Occasional Opponent

🎯

LLMM_Ramon

1 matches played

0-1

0% win rate

🤝 Occasional Opponent

❄️

Current Streak

Losses

📊

63%

ELO Percentile

vs All Players

📅

This Month

Matches Played

⚡

-4

Avg ELO Change

Per Match

Stores Played

Zacatrus! Valencia

4 tournaments

Most Faced Opponents

Opponent	Matches	Wins	Losses	Win Rate
TS_Hearene	3	0	3	0%
User19260	2	1	1	50%
TS_RDurban	2	0	2	0%
Shinobana	2	1	1	50%
LLMM_Ramon	1	0	1	0%
Mc	1	1	0	100%
Alex	1	0	1	0%
posketo	1	1	0	100%

TS_Hearene

Matches

Wins

Losses

Draws

Win Rate

User19260

Matches

Wins

Losses

Draws

Win Rate

50%

TS_RDurban

Matches

Wins

Losses

Draws

Win Rate

Shinobana

Matches

Wins

Losses

Draws

Win Rate

50%

LLMM_Ramon

Matches

Wins

Losses

Draws

Win Rate

Matches

Wins

Losses

Draws

Win Rate

100%

Alex

Matches

Wins

Losses

Draws

Win Rate

posketo

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

MisterioGS

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

TS_Hearene

User19260

TS_RDurban

Shinobana

LLMM_Ramon

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

🏆 MisterioGS's Achievements

Global Achievements

Season 8 - Reign of Jafar