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TS_LUNA

#100

Tinta Seca

Total Matches: 11

Community: Levante

Team: Tinta Seca

3 Wins 7 Losses 1 Draws

956

S10 End of Season ELO

1000

S10 Peak ELO

30.0%

Win Rate

ELO History

Match Outcome Constellation

✨

⭐

🌟

✨

💫

◯

Wins

Losses

Draws

⭐ Star size = ELO impact

Tournament Performance Profile

Performance Metrics

Consistency Rating

30.0%

ELO Growth -44

Tournament Dominance 0/4

Recent Matches

vs TS_Khoyac

Khanbarrilete Weekly Play (Constructed) • Dec 09, 2025

LOSS

-9

vs José Miguel G

tematico peliculas (Constructed) • Dec 06, 2025

WIN

+23

vs TS_Khoyac

tematico peliculas (Constructed) • Dec 06, 2025

LOSS

-9

vs YOLO

tematico peliculas (Constructed) • Dec 06, 2025

WIN

+24

vs Claunit

tematico peliculas (Constructed) • Dec 06, 2025

DRAW

vs TS_Hearene

Sábado Morning Weekly Play (Constructed) • Nov 22, 2025

LOSS

-17

vs TS_RDurban

Sábado Morning Weekly Play (Constructed) • Nov 22, 2025

LOSS

-13

vs TS_Gallonet

Sábado Morning Weekly Play (Constructed) • Nov 22, 2025

LOSS

-22

vs TS_Khoyac

Weekly Play Lorcana - Khanbarrilete • Nov 18, 2025

LOSS

-17

vs Berna

Weekly Play Lorcana - Khanbarrilete • Nov 18, 2025

WIN

+19

Tournament History

Khanbarrilete Weekly Play (Constructed) NR

Khanbarrilete • Dec 09, 2025

Record: 0-1-0 • 6 players • Avg ELO: 1026

tematico peliculas (Constructed) #3

la base rebelde • Dec 06, 2025

Record: 2-1-1 • 12 players • Avg ELO: 1032

Sábado Morning Weekly Play (Constructed) NR

Khanbarrilete • Nov 22, 2025

Record: 0-3-0 • 6 players • Avg ELO: 1050

Weekly Play Lorcana - Khanbarrilete #5

Khanbarrilete • Nov 18, 2025

Record: 1-2-0 • 8 players • Avg ELO: 1047

Player Insights

Max Win Streak

Max Loss Streak

-44

ELO Gained

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 Losses

Recent Form:

Recent Achievements

5 achievements earned

📜

Street Rat

Play 5 matches in Season 8.

📖

The First Chapter

Play your first match.

🐍

Jafar's Recruit

Play 1 match in Season 8.

🗺️

Store Hopper

Play at 2 different stores.

⏳

Sands of Time

Play at 3 different stores in Season 8.

🎮 Achievement Categories

Seasonal_Participation

Participation

Location

Seasonal_Special

🔍 View All Achievements

Top Rivalries

🎯

TS_Khoyac

3 matches played

0-3

0% win rate

🤝 Occasional Opponent

🎯

TS_Hearene

2 matches played

0-2

0% win rate

🤝 Occasional Opponent

🏆

José Miguel G

1 matches played

1-0

100% win rate

🤝 Occasional Opponent

🏆

YOLO

1 matches played

1-0

100% win rate

🤝 Occasional Opponent

⚔️

Claunit

1 matches played

0-0-1

0% win rate

🤝 Occasional Opponent

❄️

Current Streak

Losses

📊

64%

ELO Percentile

vs All Players

📅

This Month

Matches Played

⚡

-4

Avg ELO Change

Per Match

Stores Played

Khanbarrilete

3 tournaments

la base rebelde

1 tournaments

Most Faced Opponents

Opponent	Matches	Wins	Losses	Draws	Win Rate
TS_Khoyac	3	0	3	0	0%
TS_Hearene	2	0	2	0	0%
José Miguel G	1	1	0	0	100%
YOLO	1	1	0	0	100%
Claunit	1	0	0	1	0%
TS_RDurban	1	0	1	0	0%
TS_Gallonet	1	0	1	0	0%
Berna	1	1	0	0	100%

TS_Khoyac

Matches

Wins

Losses

Draws

Win Rate

TS_Hearene

Matches

Wins

Losses

Draws

Win Rate

José Miguel G

Matches

Wins

Losses

Draws

Win Rate

100%

YOLO

Matches

Wins

Losses

Draws

Win Rate

100%

Claunit

Matches

Wins

Losses

Draws

Win Rate

TS_RDurban

Matches

Wins

Losses

Draws

Win Rate

TS_Gallonet

Matches

Wins

Losses

Draws

Win Rate

Berna

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

TS_LUNA

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_Khoyac

TS_Hearene

José Miguel G

YOLO

Claunit

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

🏆 TS_LUNA's Achievements

Season 8 - Reign of Jafar

Global Achievements