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Nessa

#43

Total Matches: 10

Community: Levante

6 Wins 4 Losses

1038

S10 End of Season ELO

1075

S10 Peak ELO

60.0%

Win Rate

ELO History

Match Outcome Constellation

✨

⭐

🌟

✨

💫

◯

Wins

Losses

Draws

⭐ Star size = ELO impact

Tournament Performance Profile

Performance Metrics

Consistency Rating

60.0%

ELO Growth +38

Tournament Dominance 1/3

Recent Matches

vs MK_Rizoman

Torneo semanal Lorcana en Garhis • Dec 05, 2025

LOSS

-15

vs JoseMa

Torneo semanal Lorcana en Garhis • Dec 05, 2025

WIN

+13

vs TG_Rick

Torneo semanal Lorcana en Garhis • Dec 05, 2025

LOSS

-20

vs MK_Taury

Torneo Semanal Lorcana en Garhis • Nov 28, 2025

LOSS

-13

vs TG_Chus

Torneo Semanal Lorcana en Garhis • Nov 28, 2025

WIN

+19

vs El Maestro Manco

Torneo Semanal Lorcana en Garhis • Nov 28, 2025

LOSS

-20

vs Miguel

Torneo Semanal Lorcana en Garhis • Nov 28, 2025

WIN

+17

vs JoseMa

Torneo Semanal Garhis • Nov 07, 2025

WIN

+20

vs El Maestro Manco

Torneo Semanal Garhis • Nov 07, 2025

WIN

+19

vs TG_Emiimrtnez

Torneo Semanal Garhis • Nov 07, 2025

WIN

+19

Tournament History

Torneo semanal Lorcana en Garhis #6

Garhis • Dec 05, 2025

Record: 1-2-0 • 8 players • Avg ELO: 1046

Torneo Semanal Lorcana en Garhis #4

Garhis • Nov 28, 2025

Record: 2-2-0 • 9 players • Avg ELO: 1023

Torneo Semanal Garhis #1

Garhis • Nov 07, 2025

Record: 3-0-0 • 8 players • Avg ELO: 974

Player Insights

Max Win Streak

Max Loss Streak

+38

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: 2 Losses

Recent Form:

Recent Achievements

8 achievements earned

🤝

A Familiar Face

Play 3 matches against the same opponent.

📚

Well-Versed

Play 10 matches.

🧞

Friend Like Me

Play 10 matches in Season 8.

⚔️

Upset the Balance

Defeat an opponent rated 100+ ELO above you.

📜

Street Rat

Play 5 matches in Season 8.

🎮 Achievement Categories

Rivalry

Participation

Seasonal_Participation

Giant_Killer

Special

🔍 View All Achievements

Top Rivalries

🏆

JoseMa

2 matches played

2-0

100% win rate

🤝 Occasional Opponent

⚔️

El Maestro Manco

2 matches played

1-1

50% win rate

🤝 Occasional Opponent

🎯

MK_Rizoman

1 matches played

0-1

0% win rate

🤝 Occasional Opponent

🎯

TG_Rick

1 matches played

0-1

0% win rate

🤝 Occasional Opponent

🎯

MK_Taury

1 matches played

0-1

0% win rate

🤝 Occasional Opponent

❄️

Current Streak

Losses

📊

69%

ELO Percentile

vs All Players

📅

This Month

Matches Played

⚡

Avg ELO Change

Per Match

Stores Played

Garhis

3 tournaments

Most Faced Opponents

Opponent	Matches	Wins	Losses	Win Rate
JoseMa	2	2	0	100%
El Maestro Manco	2	1	1	50%
MK_Rizoman	1	0	1	0%
TG_Rick	1	0	1	0%
MK_Taury	1	0	1	0%
TG_Chus	1	1	0	100%
Miguel	1	1	0	100%
TG_Emiimrtnez	1	1	0	100%

JoseMa

Matches

Wins

Losses

Draws

Win Rate

100%

El Maestro Manco

Matches

Wins

Losses

Draws

Win Rate

50%

MK_Rizoman

Matches

Wins

Losses

Draws

Win Rate

TG_Rick

Matches

Wins

Losses

Draws

Win Rate

MK_Taury

Matches

Wins

Losses

Draws

Win Rate

TG_Chus

Matches

Wins

Losses

Draws

Win Rate

100%

Miguel

Matches

Wins

Losses

Draws

Win Rate

100%

TG_Emiimrtnez

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

Nessa

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

JoseMa

El Maestro Manco

MK_Rizoman

TG_Rick

MK_Taury

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

🏆 Nessa's Achievements

Global Achievements

Season 8 - Reign of Jafar