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Hulio

#145

Total Matches: 10

Community: Madrid

4 Wins 6 Losses

969

S10 End of Season ELO

1020

S10 Peak ELO

40.0%

Win Rate

ELO History

Match Outcome Constellation

✨

⭐

🌟

✨

💫

◯

Wins

Losses

Draws

⭐ Star size = ELO impact

Tournament Performance Profile

Performance Metrics

Consistency Rating

40.0%

ELO Growth -31

Tournament Dominance 0/3

Recent Matches

vs WLT_Mery

Lorcana - Whispers in the Well Jornada 4 • Dec 05, 2025

LOSS

-16

vs WLT_Yoli

Lorcana - Whispers in the Well Jornada 4 • Dec 05, 2025

WIN

+21

vs MaverickOVD

Lorcana - Whispers in the Well Jornada 4 • Dec 05, 2025

LOSS

-18

vs EMP_EliSeven

Lorcana - Whispers in the Well Jornada 2 • Nov 21, 2025

LOSS

-13

vs Iago

Lorcana - Whispers in the Well Jornada 2 • Nov 21, 2025

WIN

+16

vs Mario A

Lorcana - Whispers in the Well Jornada 2 • Nov 21, 2025

LOSS

-19

vs Cutu

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

WIN

+20

vs ZFG_Irenitch

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

LOSS

-18

vs WTP_Montglane

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

WIN

+20

vs EMP_Irenius

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

LOSS

-20

Tournament History

Lorcana - Whispers in the Well Jornada 4 #13

Gen X Las Musas • Dec 05, 2025

Record: 1-2-0 • 17 players • Avg ELO: 1019

Lorcana - Whispers in the Well Jornada 2 #18

Gen X Las Musas • Nov 21, 2025

Record: 1-2-0 • 24 players • Avg ELO: 1018

Lorcana - Whispers in the Well Jornada 1 #7

Gen X Las Musas • Nov 14, 2025

Record: 2-2-0 • 22 players • Avg ELO: 1018

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

Upset Victories: 0/1

Upset Rate: 0.0%

📈

ELO Momentum

Recent Trend: ➡️ Stable

Average Change: 0

Consistency: 100%

📅

Performance Patterns

Not enough data to determine patterns yet

⚡

Current Form

Current Streak: 1 Wins

Recent Form:

Recent Achievements

7 achievements earned

📚

Well-Versed

Play 10 matches.

🧞

Friend Like Me

Play 10 matches in Season 8.

📜

Street Rat

Play 5 matches in Season 8.

📖

The First Chapter

Play your first match.

🐍

Jafar's Recruit

Play 1 match in Season 8.

🎮 Achievement Categories

Participation

Seasonal_Participation

1 matches played

1-0

100% win rate

🤝 Occasional Opponent

🔥

Current Streak

Wins

📊

65%

ELO Percentile

vs All Players

📅

This Month

Matches Played

⚡

-3

Avg ELO Change

Per Match

Stores Played

Gen X Las Musas

3 tournaments

Most Faced Opponents

Opponent	Matches	Wins	Losses	Win Rate
WLT_Mery	1	0	1	0%
WLT_Yoli	1	1	0	100%
MaverickOVD	1	0	1	0%
EMP_EliSeven	1	0	1	0%
Iago	1	1	0	100%
Mario A	1	0	1	0%
Cutu	1	1	0	100%
ZFG_Irenitch	1	0	1	0%
WTP_Montglane	1	1	0	100%
EMP_Irenius	1	0	1	0%

WLT_Mery

Matches

Wins

Losses

Draws

Win Rate

WLT_Yoli

Matches

Wins

Losses

Draws

Win Rate

100%

MaverickOVD

Matches

Wins

Losses

Draws

Win Rate

EMP_EliSeven

Matches

Wins

Losses

Draws

Win Rate

Iago

Matches

Wins

Losses

Draws

Win Rate

100%

Mario A

Matches

Wins

Losses

Draws

Win Rate

Cutu

Matches

Wins

Losses

Draws

Win Rate

100%

ZFG_Irenitch

Matches

Wins

Losses

Draws

Win Rate

WTP_Montglane

Matches

Wins

Losses

Draws

Win Rate

100%

EMP_Irenius

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

Hulio

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

WLT_Mery

WLT_Yoli

MaverickOVD

EMP_EliSeven

Iago

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

🏆 Hulio's Achievements

Global Achievements

Season 8 - Reign of Jafar