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Jolly Scribe

#38

Total Matches: 18

Community: Castilla y León

5 Wins 11 Losses 2 Draws

943

S10 End of Season ELO

1016

S10 Peak ELO

31.2%

Win Rate

ELO History

Match Outcome Constellation

✨

⭐

🌟

✨

💫

◯

Wins

Losses

Draws

⭐ Star size = ELO impact

Tournament Performance Profile

Performance Metrics

Consistency Rating

31.2%

ELO Growth -57

Tournament Dominance 1/5

Recent Matches

vs DD_EzioMaya

31 construido whisper in the well • Jan 31, 2026

WIN

+28

vs LaTroyana

31 construido whisper in the well • Jan 31, 2026

LOSS

-19

vs DD_Adrián C.

31 construido whisper in the well • Jan 31, 2026

LOSS

-9

vs DD_Adrián C.

Construido sábado 24 Whisper in the well • Jan 24, 2026

LOSS

-8

vs LaTroyana

Construido sábado 24 Whisper in the well • Jan 24, 2026

WIN

+23

vs IbanAS

Construido sábado 24 Whisper in the well • Jan 24, 2026

WIN

+24

vs Platyrynkoss

Championship Latveria Lorcana • Jan 17, 2026

DRAW

vs DD_Adrián C.

Championship Latveria Lorcana • Jan 17, 2026

LOSS

-12

vs wilifriki

Championship Latveria Lorcana • Jan 17, 2026

LOSS

-16

vs Rupiberto77

Championship Latveria Lorcana • Jan 17, 2026

LOSS

-19

Tournament History

31 construido whisper in the well #5

Latveria • Jan 31, 2026

Record: 1-2-0 • 8 players • Avg ELO: 1070

Construido sábado 24 Whisper in the well #2

Latveria • Jan 24, 2026

Record: 2-1-0 • 7 players • Avg ELO: 1010

Championship Latveria Lorcana #27

Latveria • Jan 17, 2026

Record: 0-4-1 • 29 players • Avg ELO: 1032

Construido domingo 11 Whisper in the well #4

Latveria • Jan 05, 2026

Record: 1-1-1 • 7 players • Avg ELO: 1055

Domingo 7 construido Whisper #13

Latveria • Dec 07, 2025

Record: 1-3-0 • 16 players • Avg ELO: 989

Player Insights

Max Win Streak

Max Loss Streak

-57

ELO Gained

121

ELO Range

Strong Tournaments (60%+ WR)

Different Stores

Tournaments Played

Advanced Analytics

⚔️

Giant Killer Analysis

Upset Victories: 2/6

Upset Rate: 33.3%

Biggest Upset: +189 ELO

📈

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

0 achievements earned

�

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

🎮 Achievement Categories

1-1

50% win rate

🤝 Occasional Opponent

🔥

Current Streak

Wins

📊

63%

ELO Percentile

vs All Players

📅

This Month

Matches Played

⚡

-3

Avg ELO Change

Per Match

Stores Played

Latveria

5 tournaments

Most Faced Opponents

Opponent	Matches	Wins	Losses	Draws	Win Rate
DD_Adrián C.	4	1	3	0	25%
DD_EzioMaya	2	1	0	1	50%
LaTroyana	2	1	1	0	50%
wilifriki	2	0	2	0	0%
DD_Penguinsan	2	1	1	0	50%
IbanAS	1	1	0	0	100%
Platyrynkoss	1	0	0	1	0%
Rupiberto77	1	0	1	0	0%
Kaylet	1	0	1	0	0%
Kathesly	1	0	1	0	0%

DD_Adrián C.

Matches

Wins

Losses

Draws

Win Rate

25%

DD_EzioMaya

Matches

Wins

Losses

Draws

Win Rate

50%

LaTroyana

Matches

Wins

Losses

Draws

Win Rate

50%

wilifriki

Matches

Wins

Losses

Draws

Win Rate

DD_Penguinsan

Matches

Wins

Losses

Draws

Win Rate

50%

IbanAS

Matches

Wins

Losses

Draws

Win Rate

100%

Platyrynkoss

Matches

Wins

Losses

Draws

Win Rate

Rupiberto77

Matches

Wins

Losses

Draws

Win Rate

Kaylet

Matches

Wins

Losses

Draws

Win Rate

Kathesly

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

Jolly Scribe

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

DD_Adrián C.

DD_EzioMaya

LaTroyana

wilifriki

DD_Penguinsan

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

🏆 Jolly Scribe's Achievements