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MdP_Lunatiika

#15

Magos del Principado

Total Matches: 13

Community: Asturias

Team: Magos del Principado

2 Wins 10 Losses 1 Draws

895

S10 End of Season ELO

1000

S10 Peak ELO

16.7%

Win Rate

ELO History

Match Outcome Constellation

✨

⭐

🌟

✨

💫

◯

Wins

Losses

Draws

⭐ Star size = ELO impact

Tournament Performance Profile

Performance Metrics

Consistency Rating

16.7%

ELO Growth -105

Tournament Dominance 0/4

Recent Matches

vs CapitánPatata

TCG Mansion Championship Whispers in the Well • Jan 17, 2026

LOSS

-9

vs Mister

TCG Mansion Championship Whispers in the Well • Jan 17, 2026

LOSS

-14

vs MDP_Mcividanes ©

TCG Mansion Championship Whispers in the Well • Jan 17, 2026

LOSS

-7

vs MDP_RUDEKANE

TCG Mansion Championship Whispers in the Well • Jan 17, 2026

WIN

+27

vs Fonsiki

domingo Afternoon Whispers in the Well - Set Championship • Jan 04, 2026

LOSS

-17

vs MDP_RUDEKANE

domingo Afternoon Whispers in the Well - Set Championship • Jan 04, 2026

LOSS

-15

vs ReyVina

domingo Afternoon Whispers in the Well - Set Championship • Jan 04, 2026

LOSS

-16

vs Yagritos

Torneo Benéfico Lorcana Hangar Rebelde • Dec 27, 2025

DRAW

vs MDP_Mcividanes ©

Torneo Benéfico Lorcana Hangar Rebelde • Dec 27, 2025

LOSS

-17

vs MDP_RUDEKANE

Torneo Benéfico Lorcana Hangar Rebelde • Dec 27, 2025

WIN

+24

Tournament History

TCG Mansion Championship Whispers in the Well #10

TCG Mansion SL • Jan 17, 2026

Record: 1-3-0 • 12 players • Avg ELO: 1015

domingo Afternoon Whispers in the Well - Set Championship NR

RAVNICA GAMES • Jan 04, 2026

Record: 0-3-0 • 9 players • Avg ELO: 1024

Torneo Benéfico Lorcana Hangar Rebelde #7

Hangar Rebelde • Dec 27, 2025

Record: 1-2-1 • 10 players • Avg ELO: 1002

TCG Mansion Weekly Play (Constructed) NR

TCG Mansion SL • Nov 15, 2025

Record: 0-2-0 • 5 players • Avg ELO: 994

Player Insights

Max Win Streak

Max Loss Streak

-105

ELO Gained

111

ELO Range

Strong Tournaments (60%+ WR)

Different Stores

Tournaments Played

Advanced Analytics

⚔️

Giant Killer Analysis

Upset Victories: 1/3

Upset Rate: 33.3%

Biggest Upset: +145 ELO

📈

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

4 achievements earned

📜

Street Rat

Play 5 matches in Season 8.

📖

The First Chapter

Play your first match.

🐍

Jafar's Recruit

Play 1 match in Season 8.

🗺️

Store Hopper

Play at 2 different stores.

🎮 Achievement Categories

Seasonal_Participation

1 matches played

0-1

0% win rate

🤝 Occasional Opponent

❄️

Current Streak

Losses

📊

60%

ELO Percentile

vs All Players

📅

This Month

Matches Played

⚡

-8

Avg ELO Change

Per Match

Stores Played

TCG Mansion SL

2 tournaments

RAVNICA GAMES

1 tournaments

Hangar Rebelde

1 tournaments

Most Faced Opponents

Opponent	Matches	Wins	Losses	Draws	Win Rate
MDP_RUDEKANE	3	2	1	0	67%
CapitánPatata	2	0	2	0	0%
MDP_Mcividanes ©	2	0	2	0	0%
Mister	1	0	1	0	0%
Fonsiki	1	0	1	0	0%
ReyVina	1	0	1	0	0%
Yagritos	1	0	0	1	0%
AsturJedi	1	0	1	0	0%
pepperonni h	1	0	1	0	0%

MDP_RUDEKANE

Matches

Wins

Losses

Draws

Win Rate

67%

CapitánPatata

Matches

Wins

Losses

Draws

Win Rate

Matches

Wins

Losses

Draws

Win Rate

Mister

Matches

Wins

Losses

Draws

Win Rate

Fonsiki

Matches

Wins

Losses

Draws

Win Rate

ReyVina

Matches

Wins

Losses

Draws

Win Rate

Yagritos

Matches

Wins

Losses

Draws

Win Rate

AsturJedi

Matches

Wins

Losses

Draws

Win Rate

pepperonni h

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

MdP_Lunatiika

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

MDP_RUDEKANE

CapitánPatata

MDP_Mcividanes ©

Mister

Fonsiki

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

🏆 MdP_Lunatiika's Achievements

Season 8 - Reign of Jafar

Global Achievements