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El Maestro Manco

#139

Total Matches: 20

Community: Levante

8 Wins 11 Losses 1 Draws

949

S10 End of Season ELO

1041

S10 Peak ELO

42.1%

Win Rate

ELO History

Match Outcome Constellation

✨

⭐

🌟

✨

💫

◯

Wins

Losses

Draws

⭐ Star size = ELO impact

Tournament Performance Profile

Performance Metrics

Consistency Rating

42.1%

ELO Growth -51

Tournament Dominance 2/7

Recent Matches

vs Berna

Torneo Viernes Lorcana en Garhis • Jan 30, 2026

LOSS

-23

vs TG_Chus

Torneo Viernes Lorcana en Garhis • Jan 30, 2026

WIN

+14

vs MK_Rizoman

Torneo Viernes Lorcana en Garhis • Jan 30, 2026

LOSS

-4

vs MK_Joy

Torneo Semanal Lorcana en Garhis • Jan 23, 2026

LOSS

-18

vs TG_Rick

Torneo Viernes Garhis • Jan 02, 2026

LOSS

-16

vs TG_Javi

Torneo Viernes Garhis • Jan 02, 2026

LOSS

-14

vs TG_Chus

Torneo Viernes Garhis • Jan 02, 2026

LOSS

-25

vs Joda85

Torneo semanal Lorcana en Garhis • Dec 05, 2025

LOSS

-16

vs TG_Chus

Torneo semanal Lorcana en Garhis • Dec 05, 2025

DRAW

vs JoseMa

Torneo semanal Lorcana en Garhis • Dec 05, 2025

WIN

+14

Tournament History

Torneo Viernes Lorcana en Garhis #4

Garhis • Jan 30, 2026

Record: 1-2-0 • 6 players • Avg ELO: 1052

Torneo Semanal Lorcana en Garhis NR

Garhis • Jan 23, 2026

Record: 0-1-0 • 10 players • Avg ELO: 1038

Torneo Viernes Garhis NR

Garhis • Jan 02, 2026

Record: 0-3-0 • 4 players • Avg ELO: 982

Torneo semanal Lorcana en Garhis #5

Garhis • Dec 05, 2025

Record: 1-1-1 • 8 players • Avg ELO: 1042

Torneo Semanal Lorcana en Garhis #2

Garhis • Nov 28, 2025

Record: 3-1-0 • 9 players • Avg ELO: 1003

Torneo semanal Lorcana en Garhis #5

Garhis • Nov 12, 2025

Record: 1-2-0 • 8 players • Avg ELO: 948

Torneo Semanal Garhis #2

Garhis • Nov 07, 2025

Record: 2-1-0 • 8 players • Avg ELO: 919

Player Insights

Max Win Streak

Max Loss Streak

-51

ELO Gained

106

ELO Range

Strong Tournaments (60%+ WR)

Different Stores

Tournaments Played

Advanced Analytics

⚔️

Giant Killer Analysis

Upset Victories: 0/3

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: 1 Wins

Recent Form:

Recent Achievements

0 achievements earned

�

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

🎮 Achievement Categories

2-0

100% win rate

🤝 Occasional Opponent

🔥

Current Streak

Wins

📊

63%

ELO Percentile

vs All Players

📅

This Month

Matches Played

⚡

-3

Avg ELO Change

Per Match

Stores Played

Garhis

7 tournaments

Most Faced Opponents

Opponent	Matches	Wins	Losses	Draws	Win Rate
TG_Chus	3	1	1	1	33%
TG_Rick	2	0	2	0	0%
JoseMa	2	2	0	0	100%
Nessa	2	1	1	0	50%
Rick	2	2	0	0	100%
TG_HADES	2	2	0	0	100%
Berna	1	0	1	0	0%
MK_Rizoman	1	0	1	0	0%
MK_Joy	1	0	1	0	0%
TG_Javi	1	0	1	0	0%

TG_Chus

Matches

Wins

Losses

Draws

Win Rate

33%

TG_Rick

Matches

Wins

Losses

Draws

Win Rate

JoseMa

Matches

Wins

Losses

Draws

Win Rate

100%

Nessa

Matches

Wins

Losses

Draws

Win Rate

50%

Rick

Matches

Wins

Losses

Draws

Win Rate

100%

TG_HADES

Matches

Wins

Losses

Draws

Win Rate

100%

Berna

Matches

Wins

Losses

Draws

Win Rate

MK_Rizoman

Matches

Wins

Losses

Draws

Win Rate

MK_Joy

Matches

Wins

Losses

Draws

Win Rate

TG_Javi

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

El Maestro Manco

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

TG_Chus

TG_Rick

JoseMa

Nessa

Rick

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

🏆 El Maestro Manco's Achievements