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TS_LUNA

#125

Tinta Seca

Total Matches: 18

Community: Levante

Team: Tinta Seca

5 Wins 9 Losses 4 Draws

969

S10 End of Season ELO

1000

S10 Peak ELO

35.7%

Win Rate

ELO History

Match Outcome Constellation

✨

⭐

🌟

✨

💫

◯

Wins

Losses

Draws

⭐ Star size = ELO impact

Tournament Performance Profile

Performance Metrics

Consistency Rating

35.7%

ELO Growth -31

Tournament Dominance 0/6

Recent Matches

vs TS_Khoyac🐛

Whispers in the Well - Set Championship Zacatrus! Valencia 24 de enero • Jan 24, 2026

WIN

+31

vs TS_Falconeti

Whispers in the Well - Set Championship Zacatrus! Valencia 24 de enero • Jan 24, 2026

LOSS

-17

vs posketo

Whispers in the Well - Set Championship Zacatrus! Valencia 24 de enero • Jan 24, 2026

WIN

+22

vs Alex

Whispers in the Well - Set Championship Zacatrus! Valencia 24 de enero • Jan 24, 2026

LOSS

-22

vs TS_Falconeti

pachanga lorcana • Jan 02, 2026

DRAW

vs TS_Hearene 🫟

pachanga lorcana • Jan 02, 2026

DRAW

vs TS_Gallonet🍊

pachanga lorcana • Jan 02, 2026

DRAW

vs TS_Khoyac🐛

Khanbarrilete Weekly Play (Constructed) • Dec 09, 2025

LOSS

-9

vs Claunit

tematico peliculas (Constructed) • Dec 06, 2025

DRAW

vs TS_Khoyac🐛

tematico peliculas (Constructed) • Dec 06, 2025

LOSS

-9

Tournament History

Whispers in the Well - Set Championship Zacatrus! Valencia 24 de enero #6

Zacatrus! Valencia • Jan 24, 2026

Record: 2-2-0 • 16 players • Avg ELO: 1080

pachanga lorcana #1

la base rebelde • Jan 02, 2026

Record: 0-0-3 • 7 players • Avg ELO: 1076

Khanbarrilete Weekly Play (Constructed) NR

Khanbarrilete • Dec 09, 2025

Record: 0-1-0 • 6 players • Avg ELO: 1118

tematico peliculas (Constructed) #3

la base rebelde • Dec 06, 2025

Record: 2-1-1 • 12 players • Avg ELO: 1088

Sábado Morning Weekly Play (Constructed) NR

Khanbarrilete • Nov 22, 2025

Record: 0-3-0 • 6 players • Avg ELO: 1131

Weekly Play Lorcana - Khanbarrilete #5

Khanbarrilete • Nov 18, 2025

Record: 1-2-0 • 8 players • Avg ELO: 1116

Player Insights

Max Win Streak

Max Loss Streak

-31

ELO Gained

ELO Range

Strong Tournaments (60%+ WR)

Different Stores

Tournaments Played

Advanced Analytics

⚔️

Giant Killer Analysis

Upset Victories: 1/6

Upset Rate: 16.7%

Biggest Upset: +225 ELO

📈

ELO Momentum

Recent Trend: ➡️ Stable

Average Change: 0

Consistency: 100%

📅

Performance Patterns

Not enough data to determine patterns yet

⚡

Current Form

Current Streak: 2 Wins

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

1 matches played

1-0

100% win rate

🤝 Occasional Opponent

🔥

Current Streak

Wins

📊

65%

ELO Percentile

vs All Players

📅

This Month

Matches Played

⚡

-2

Avg ELO Change

Per Match

Stores Played

Khanbarrilete

3 tournaments

la base rebelde

2 tournaments

Zacatrus! Valencia

1 tournaments

Most Faced Opponents

Opponent	Matches	Wins	Losses	Draws	Win Rate
TS_Khoyac🐛	4	1	3	0	25%
TS_Hearene 🫟	3	0	2	1	0%
TS_Falconeti	2	0	1	1	0%
TS_Gallonet🍊	2	0	1	1	0%
posketo	1	1	0	0	100%
Alex	1	0	1	0	0%
Claunit	1	0	0	1	0%
YOLO	1	1	0	0	100%
Ts_josemi96 🫟	1	1	0	0	100%
TS_RDurban🫟	1	0	1	0	0%

TS_Khoyac🐛

Matches

Wins

Losses

Draws

Win Rate

25%

TS_Hearene 🫟

Matches

Wins

Losses

Draws

Win Rate

TS_Falconeti

Matches

Wins

Losses

Draws

Win Rate

TS_Gallonet🍊

Matches

Wins

Losses

Draws

Win Rate

posketo

Matches

Wins

Losses

Draws

Win Rate

100%

Alex

Matches

Wins

Losses

Draws

Win Rate

Claunit

Matches

Wins

Losses

Draws

Win Rate

YOLO

Matches

Wins

Losses

Draws

Win Rate

100%

Ts_josemi96 🫟

Matches

Wins

Losses

Draws

Win Rate

100%

TS_RDurban🫟

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

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 🫟

TS_Falconeti

TS_Gallonet🍊

posketo

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