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Daniel tuentieit

Total Matches: 11

Community: Cataluña

7 Wins 2 Losses 2 Draws

1079

S10 End of Season ELO

1117

S10 Peak ELO

77.8%

Win Rate

ELO History

Match Outcome Constellation

✨

⭐

🌟

✨

💫

◯

Wins

Losses

Draws

⭐ Star size = ELO impact

Tournament Performance Profile

Performance Metrics

Consistency Rating

77.8%

ELO Growth +79

Tournament Dominance 2/3

Recent Matches

vs Sergi97

Whispers - 4 ROUND • Dec 06, 2025

WIN

+10

vs NkMarie

Whispers - 4 ROUND • Dec 06, 2025

LOSS

-18

vs Gianfranco

Whispers - 4 ROUND • Dec 06, 2025

LOSS

-19

vs NkMarie

Whispers - 3 ROUND • Nov 27, 2025

WIN

+18

vs Gianfranco

Whispers - 3 ROUND • Nov 27, 2025

DRAW

vs Laxiacephei

Whispers - 3 ROUND • Nov 27, 2025

WIN

+13

vs Danip

Whispers - 3 ROUND • Nov 27, 2025

WIN

+16

vs Gianfranco

Whispers - 1 ROUND • Nov 14, 2025

WIN

+19

vs Royal_HeiHei

Whispers - 1 ROUND • Nov 14, 2025

DRAW

vs Quebim Procsis

Whispers - 1 ROUND • Nov 14, 2025

WIN

+20

Tournament History

Whispers - 4 ROUND #5

BCN Retroclass • Dec 06, 2025

Record: 1-2-0 • 8 players • Avg ELO: 992

Whispers - 3 ROUND #1

BCN Retroclass • Nov 27, 2025

Record: 3-0-1 • 8 players • Avg ELO: 999

Whispers - 1 ROUND #1

BCN Retroclass • Nov 14, 2025

Record: 3-0-1 • 9 players • Avg ELO: 987

Player Insights

Max Win Streak

Max Loss Streak

+79

ELO Gained

117

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

8 achievements earned

🤝

A Familiar Face

Play 3 matches against the same opponent.

🐯

Cave of Wonders

Play 15 matches in Season 8.

⚔️

Upset the Balance

Defeat an opponent rated 100+ ELO above you.

📚

Well-Versed

Play 10 matches.

🧞

Friend Like Me

Play 10 matches in Season 8.

🎮 Achievement Categories

Rivalry

Seasonal_Participation

Giant_Killer

Participation

🔍 View All Achievements

Top Rivalries

⚔️

Gianfranco

3 matches played

1-1-1

33% win rate

🤝 Occasional Opponent

🏆

Sergi97

2 matches played

2-0

100% win rate

🤝 Occasional Opponent

⚔️

NkMarie

2 matches played

1-1

50% win rate

🤝 Occasional Opponent

🏆

Laxiacephei

1 matches played

1-0

100% win rate

🤝 Occasional Opponent

🏆

Danip

1 matches played

1-0

100% win rate

🤝 Occasional Opponent

❄️

Current Streak

Losses

📊

72%

ELO Percentile

vs All Players

📅

This Month

Matches Played

⚡

Avg ELO Change

Per Match

Stores Played

BCN Retroclass

3 tournaments

Most Faced Opponents

Opponent	Matches	Wins	Losses	Draws	Win Rate
Gianfranco	3	1	1	1	33%
Sergi97	2	2	0	0	100%
NkMarie	2	1	1	0	50%
Laxiacephei	1	1	0	0	100%
Danip	1	1	0	0	100%
Royal_HeiHei	1	0	0	1	0%
Quebim Procsis	1	1	0	0	100%

Gianfranco

Matches

Wins

Losses

Draws

Win Rate

33%

Sergi97

Matches

Wins

Losses

Draws

Win Rate

100%

NkMarie

Matches

Wins

Losses

Draws

Win Rate

50%

Laxiacephei

Matches

Wins

Losses

Draws

Win Rate

100%

Danip

Matches

Wins

Losses

Draws

Win Rate

100%

Royal_HeiHei

Matches

Wins

Losses

Draws

Win Rate

Quebim Procsis

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

Daniel tuentieit

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

Gianfranco

Sergi97

NkMarie

Laxiacephei

Danip

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

🏆 Daniel tuentieit's Achievements

Global Achievements

Season 8 - Reign of Jafar