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IBW_Astharoth

#182

Inkborn Wardens

Total Matches: 20

Community: Madrid

Team: Inkborn Wardens

9 Wins 10 Losses 1 Draws

981

S10 End of Season ELO

1058

S10 Peak ELO

47.4%

Win Rate

ELO History

Match Outcome Constellation

✨

⭐

🌟

✨

💫

◯

Wins

Losses

Draws

⭐ Star size = ELO impact

Tournament Performance Profile

Performance Metrics

Consistency Rating

47.4%

ELO Growth -19

Tournament Dominance 0/4

Recent Matches

vs LM_MartINK

sábado Morning Whispers in the Well - Set Championship • Jan 17, 2026

LOSS

-15

vs AlexCG

sábado Morning Whispers in the Well - Set Championship • Jan 17, 2026

LOSS

-21

vs SerGEEKio

sábado Morning Whispers in the Well - Set Championship • Jan 17, 2026

WIN

+18

vs IBW_Aghar

sábado Morning Whispers in the Well - Set Championship • Jan 17, 2026

LOSS

-15

vs LDL_DeboraAlbaina

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

LOSS

-17

vs garrisanjose 🦁

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

LOSS

-19

vs IBW_Maikis

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

WIN

+18

vs LM_Cetreth

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

WIN

+16

vs IBW Thaonir

lunes Evening Weekly Play (Constructed) • Nov 24, 2025

LOSS

-15

vs IBW_Borchas

lunes Evening Weekly Play (Constructed) • Nov 24, 2025

WIN

+17

Tournament History

sábado Morning Whispers in the Well - Set Championship #9

Generacion X Carranza • Jan 17, 2026

Record: 1-3-0 • 12 players • Avg ELO: 1026

Júpiter Madrid Championship – Whispers in the Well #7

Júpiter Juegos Madrid • Jan 10, 2026

Record: 2-2-0 • 16 players • Avg ELO: 1015

lunes Evening Weekly Play (Constructed) #3

Padis • Nov 24, 2025

Record: 1-2-0 • 5 players • Avg ELO: 1032

Madverse Barcelona CCQ #77

Victory Road • Nov 15, 2025

Record: 5-3-1 • 325 players • Avg ELO: 1036

Player Insights

Max Win Streak

Max Loss Streak

-19

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: 1 Losses

Recent Form:

Recent Achievements

1 achievements earned

✨

Fabled Debut

Play 1 match in Season 9.

🎮 Achievement Categories

0-1

0% win rate

🤝 Occasional Opponent

❄️

Current Streak

Losses

📊

65%

ELO Percentile

vs All Players

📅

This Month

Matches Played

⚡

-1

Avg ELO Change

Per Match

Stores Played

Generacion X Carranza

1 tournaments

Júpiter Juegos Madrid

1 tournaments

Padis

1 tournaments

Victory Road

1 tournaments

Most Faced Opponents

Opponent	Matches	Wins	Losses	Win Rate
LM_MartINK	1	0	1	0%
AlexCG	1	0	1	0%
SerGEEKio	1	1	0	100%
IBW_Aghar	1	0	1	0%
LDL_DeboraAlbaina	1	0	1	0%
garrisanjose 🦁	1	0	1	0%
IBW_Maikis	1	1	0	100%
LM_Cetreth	1	1	0	100%
IBW Thaonir	1	0	1	0%
IBW_Borchas	1	1	0	100%

LM_MartINK

Matches

Wins

Losses

Draws

Win Rate

AlexCG

Matches

Wins

Losses

Draws

Win Rate

SerGEEKio

Matches

Wins

Losses

Draws

Win Rate

100%

IBW_Aghar

Matches

Wins

Losses

Draws

Win Rate

LDL_DeboraAlbaina

Matches

Wins

Losses

Draws

Win Rate

garrisanjose 🦁

Matches

Wins

Losses

Draws

Win Rate

IBW_Maikis

Matches

Wins

Losses

Draws

Win Rate

100%

LM_Cetreth

Matches

Wins

Losses

Draws

Win Rate

100%

IBW Thaonir

Matches

Wins

Losses

Draws

Win Rate

IBW_Borchas

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

IBW_Astharoth

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

LM_MartINK

AlexCG

SerGEEKio

IBW_Aghar

LDL_DeboraAlbaina

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

🏆 IBW_Astharoth's Achievements

Season 9 - Fabled