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Tetoni

Total Matches: 31

Community: Islas Baleares

18 Wins 12 Losses 1 Draws

1122

S10 End of Season ELO

1143

S10 Peak ELO

60.0%

Win Rate

ELO History

Match Outcome Constellation

✨

⭐

🌟

✨

💫

◯

Wins

Losses

Draws

⭐ Star size = ELO impact

Tournament Performance Profile

Performance Metrics

Consistency Rating

60.0%

ELO Growth +122

Tournament Dominance 3/7

Recent Matches

vs LNT_Velveck

lunes Evening Weekly Play (Constructed) • Dec 15, 2025

LOSS

-15

vs Ainhoaconhache

lunes Evening Weekly Play (Constructed) • Dec 15, 2025

WIN

vs LNT_Romperal

lunes Evening Weekly Play (Constructed) • Dec 15, 2025

LOSS

-11

vs LNT_VictoRCDM

viernes Afternoon Weekly Play (Constructed) • Nov 28, 2025

WIN

+17

vs LNT_CoKeoNe

viernes Afternoon Weekly Play (Constructed) • Nov 28, 2025

WIN

+14

vs LNT_Dasein

viernes Afternoon Weekly Play (Constructed) • Nov 28, 2025

WIN

+20

vs LNT_Dasein

sábado Evening Weekly Play (Constructed) • Nov 22, 2025

WIN

+23

vs Simbala 🦁

sábado Evening Weekly Play (Constructed) • Nov 22, 2025

WIN

+20

vs TZ3_Azhag88

MADVERSE - Dumbo Challenge • Nov 16, 2025

WIN

+19

vs Manolin

MADVERSE - Dumbo Challenge • Nov 16, 2025

WIN

+16

Tournament History

lunes Evening Weekly Play (Constructed) #7

The Gathering Mallorca • Dec 15, 2025

Record: 1-2-0 • 11 players • Avg ELO: 1088

viernes Afternoon Weekly Play (Constructed) #1

The Gathering Mallorca • Nov 28, 2025

Record: 3-0-0 • 8 players • Avg ELO: 1066

sábado Evening Weekly Play (Constructed) #1

Ludicón • Nov 22, 2025

Record: 2-0-0 • 4 players • Avg ELO: 1112

MADVERSE - Dumbo Challenge #21

Victory Road • Nov 16, 2025

Record: 3-3-0 • 73 players • Avg ELO: 1018

Madverse Barcelona CCQ #34

Victory Road • Nov 15, 2025

Record: 6-3-0 • 325 players • Avg ELO: 1013

viernes Afternoon Weekly Play (Constructed) #5

The Gathering Mallorca • Nov 14, 2025

Record: 2-2-0 • 12 players • Avg ELO: 1024

The Gathering Lunes #5

The Gathering Mallorca • Nov 10, 2025

Record: 1-2-1 • 9 players • Avg ELO: 1092

Player Insights

Max Win Streak

Max Loss Streak

+122

ELO Gained

182

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

0 achievements earned

�

No achievements yet - play some matches to start earning them!

🎮 Achievement Categories

0-2

0% win rate

🤝 Occasional Opponent

❄️

Current Streak

Losses

📊

75%

ELO Percentile

vs All Players

📅

This Month

Matches Played

⚡

Avg ELO Change

Per Match

Stores Played

The Gathering Mallorca

4 tournaments

Victory Road

2 tournaments

Ludicón

1 tournaments

Most Faced Opponents

Opponent	Matches	Wins	Losses	Win Rate
LNT_Romperal	2	1	1	50%
LNT_VictoRCDM	2	1	1	50%
LNT_CoKeoNe	2	2	0	100%
LNT_Dasein	2	2	0	100%
LNT_Marionetas	2	0	2	0%
LNT_Velveck	1	0	1	0%
Ainhoaconhache	1	1	0	100%
Simbala 🦁	1	1	0	100%
TZ3_Azhag88	1	1	0	100%
Manolin	1	1	0	100%

LNT_Romperal

Matches

Wins

Losses

Draws

Win Rate

50%

LNT_VictoRCDM

Matches

Wins

Losses

Draws

Win Rate

50%

LNT_CoKeoNe

Matches

Wins

Losses

Draws

Win Rate

100%

LNT_Dasein

Matches

Wins

Losses

Draws

Win Rate

100%

LNT_Marionetas

Matches

Wins

Losses

Draws

Win Rate

LNT_Velveck

Matches

Wins

Losses

Draws

Win Rate

Ainhoaconhache

Matches

Wins

Losses

Draws

Win Rate

100%

Simbala 🦁

Matches

Wins

Losses

Draws

Win Rate

100%

TZ3_Azhag88

Matches

Wins

Losses

Draws

Win Rate

100%

Manolin

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

Tetoni

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

LNT_Romperal

LNT_VictoRCDM

LNT_CoKeoNe

LNT_Dasein

LNT_Marionetas

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

🏆 Tetoni's Achievements