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Nomox

Total Matches: 17

Community: Euskadi

13 Wins 3 Losses 1 Draws

1146

S10 End of Season ELO

1176

S10 Peak ELO

81.2%

Win Rate

ELO History

Match Outcome Constellation

✨

⭐

🌟

✨

💫

◯

Wins

Losses

Draws

⭐ Star size = ELO impact

Tournament Performance Profile

Performance Metrics

Consistency Rating

81.2%

ELO Growth +146

Tournament Dominance 4/5

Recent Matches

vs anderg33

Liga Lorcana "Whispers in the Well" Tinta Comics 18/12 • Dec 18, 2025

LOSS

-14

vs salchi

Liga Lorcana "Whispers in the Well" Tinta Comics 18/12 • Dec 18, 2025

LOSS

-15

vs Gorka

Liga Lorcana "Whispers in the Well" Tinta Comics 11/12 • Dec 11, 2025

LOSS

-15

vs Onorder

Liga Lorcana "Whispers in the Well" Tinta Comics 11/12 • Dec 11, 2025

WIN

vs jongoda

Liga Lorcana "Whispers in the Well" Tinta Comics 11/12 • Dec 11, 2025

WIN

vs NDP🌻

Liga Lorcana "Whispers in the Well" Tinta Comics 04/12 • Dec 04, 2025

WIN

+13

vs Gorka

Liga Lorcana "Whispers in the Well" Tinta Comics 04/12 • Dec 04, 2025

WIN

+12

vs Oso

Liga Lorcana "Whispers in the Well" Tinta Comics 04/12 • Dec 04, 2025

WIN

+16

vs mikel_avz 🦈

Liga Lorcana "Whispers in the Well" Tinta Comics 04/12 • Dec 04, 2025

WIN

+11

vs anderg33

Liga Lorcana "Whispers in the Well" Tinta Comics 29/11 • Nov 29, 2025

WIN

+16

Tournament History

Liga Lorcana "Whispers in the Well" Tinta Comics 18/12 NR

Tinta Comics • Dec 18, 2025

Record: 0-2-0 • 5 players • Avg ELO: 1042

Liga Lorcana "Whispers in the Well" Tinta Comics 11/12 #4

Tinta Comics • Dec 11, 2025

Record: 2-1-0 • 9 players • Avg ELO: 1014

Liga Lorcana "Whispers in the Well" Tinta Comics 04/12 #1

Tinta Comics • Dec 04, 2025

Record: 4-0-0 • 10 players • Avg ELO: 1011

Liga Lorcana "Whispers in the Well" Tinta Comics 29/11 #1

Tinta Comics • Nov 29, 2025

Record: 4-0-0 • 10 players • Avg ELO: 1042

Liga Lorcana "Whispers in the Well" Tinta Comics 20/11 #1

Tinta Comics • Nov 20, 2025

Record: 3-0-1 • 12 players • Avg ELO: 1022

Player Insights

Max Win Streak

Max Loss Streak

+146

ELO Gained

176

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

2 achievements earned

📖

The Next Chapter

Play 5 matches in Season 9.

✨

Fabled Debut

Play 1 match in Season 9.

🎮 Achievement Categories

2-0

100% win rate

🤝 Occasional Opponent

❄️

Current Streak

Losses

📊

76%

ELO Percentile

vs All Players

📅

This Month

Matches Played

⚡

Avg ELO Change

Per Match

Stores Played

Tinta Comics

5 tournaments

Most Faced Opponents

Opponent	Matches	Wins	Losses	Draws	Win Rate
Oso	3	3	0	0	100%
anderg33	2	1	1	0	50%
salchi	2	1	1	0	50%
Gorka	2	1	1	0	50%
jongoda	2	2	0	0	100%
NDP🌻	2	2	0	0	100%
mikel_avz 🦈	2	1	0	1	50%
Onorder	1	1	0	0	100%
LightHelco	1	1	0	0	100%

Oso

Matches

Wins

Losses

Draws

Win Rate

100%

anderg33

Matches

Wins

Losses

Draws

Win Rate

50%

salchi

Matches

Wins

Losses

Draws

Win Rate

50%

Gorka

Matches

Wins

Losses

Draws

Win Rate

50%

jongoda

Matches

Wins

Losses

Draws

Win Rate

100%

NDP🌻

Matches

Wins

Losses

Draws

Win Rate

100%

mikel_avz 🦈

Matches

Wins

Losses

Draws

Win Rate

50%

Onorder

Matches

Wins

Losses

Draws

Win Rate

100%

LightHelco

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

Nomox

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

Oso

anderg33

salchi

Gorka

jongoda

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

🏆 Nomox's Achievements

Season 9 - Fabled