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Airin27

#197

Total Matches: 8

Community: Madrid

3 Wins 5 Losses

969

S10 End of Season ELO

1031

S10 Peak ELO

37.5%

Win Rate

ELO History

Match Outcome Constellation

✨

⭐

🌟

✨

💫

◯

Wins

Losses

Draws

⭐ Star size = ELO impact

Tournament Performance Profile

Performance Metrics

Consistency Rating

37.5%

ELO Growth -31

Tournament Dominance 1/4

Recent Matches

vs IBW_MIGUELO

Júpiter Madrid Championship – Whispers in the Well • Jan 10, 2026

LOSS

-21

vs IBW_Panda

Júpiter Madrid Championship – Whispers in the Well • Jan 10, 2026

LOSS

-21

vs LDL_DeboraAlbaina

Júpiter Madrid Championship – Whispers in the Well • Jan 10, 2026

LOSS

-18

vs gatorojo

Itaca Whispers in the Well - Set Championship • Jan 03, 2026

WIN

+22

vs AgusTurro

Itaca Whispers in the Well - Set Championship • Jan 03, 2026

WIN

+21

vs IBW_Goldor

Itaca Whispers in the Well - Set Championship • Jan 03, 2026

WIN

+23

vs EMP_Irenius

sábado Evening Weekly Play (Constructed) • Dec 13, 2025

LOSS

-15

vs WTP_Montglane

Lorcana - Whispers in the Well Jornada 1 • Nov 14, 2025

LOSS

-20

Tournament History

Júpiter Madrid Championship – Whispers in the Well NR

Júpiter Juegos Madrid • Jan 10, 2026

Record: 0-3-0 • 16 players • Avg ELO: 1015

Itaca Whispers in the Well - Set Championship #1

Itaca • Jan 03, 2026

Record: 3-0-0 • 8 players • Avg ELO: 989

sábado Evening Weekly Play (Constructed) NR

Gen X Las Musas • Dec 13, 2025

Record: 0-1-0 • 20 players • Avg ELO: 991

Lorcana - Whispers in the Well Jornada 1 NR

Gen X Las Musas • Nov 14, 2025

Record: 0-1-0 • 22 players • Avg ELO: 1032

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

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: 3 Losses

Recent Form:

Recent Achievements

2 achievements earned

📖

The Next Chapter

Play 5 matches in Season 9.

✨

Fabled Debut

Play 1 match in Season 9.

🎮 Achievement Categories

1-0

100% win rate

🤝 Occasional Opponent

❄️

Current Streak

Losses

📊

65%

ELO Percentile

vs All Players

📅

This Month

Matches Played

⚡

-4

Avg ELO Change

Per Match

Stores Played

Gen X Las Musas

2 tournaments

Júpiter Juegos Madrid

1 tournaments

Itaca

1 tournaments

Most Faced Opponents

Opponent	Matches	Wins	Losses	Win Rate
IBW_MIGUELO	1	0	1	0%
IBW_Panda	1	0	1	0%
LDL_DeboraAlbaina	1	0	1	0%
gatorojo	1	1	0	100%
AgusTurro	1	1	0	100%
IBW_Goldor	1	1	0	100%
EMP_Irenius	1	0	1	0%
WTP_Montglane	1	0	1	0%

IBW_MIGUELO

Matches

Wins

Losses

Draws

Win Rate

IBW_Panda

Matches

Wins

Losses

Draws

Win Rate

LDL_DeboraAlbaina

Matches

Wins

Losses

Draws

Win Rate

gatorojo

Matches

Wins

Losses

Draws

Win Rate

100%

AgusTurro

Matches

Wins

Losses

Draws

Win Rate

100%

IBW_Goldor

Matches

Wins

Losses

Draws

Win Rate

100%

EMP_Irenius

Matches

Wins

Losses

Draws

Win Rate

WTP_Montglane

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

Airin27

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

IBW_MIGUELO

IBW_Panda

LDL_DeboraAlbaina

gatorojo

AgusTurro

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

🏆 Airin27's Achievements

Season 9 - Fabled