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Ppro_Victor

#66

PutoPRO Team

Total Matches: 8

Community: Madrid

Team: PutoPRO Team

5 Wins 3 Losses

1041

S10 End of Season ELO

1060

S10 Peak ELO

62.5%

Win Rate

ELO History

Match Outcome Constellation

✨

⭐

🌟

✨

💫

◯

Wins

Losses

Draws

⭐ Star size = ELO impact

Tournament Performance Profile

Performance Metrics

Consistency Rating

62.5%

ELO Growth +41

Tournament Dominance 1/2

Recent Matches

vs B3T_ManuTeran

Torneo Aniversario Libertalia 23/11 • Nov 22, 2025

LOSS

-19

vs Cristian Sanz

Torneo Aniversario Libertalia 23/11 • Nov 22, 2025

WIN

+18

vs LBT_ElPastor

Torneo Aniversario Libertalia 23/11 • Nov 22, 2025

LOSS

-16

vs Artbuin

Torneo Aniversario Libertalia 23/11 • Nov 22, 2025

WIN

+17

vs B3T_ManuTeran

Friday Night Weekly Play (Constructed) • Nov 07, 2025

WIN

+20

vs TXC_Borjon

Friday Night Weekly Play (Constructed) • Nov 07, 2025

WIN

+19

vs fuuriosoD96

Friday Night Weekly Play (Constructed) • Nov 07, 2025

LOSS

-18

vs [FG] NaroSniper

Friday Night Weekly Play (Constructed) • Nov 07, 2025

WIN

+19

Tournament History

Torneo Aniversario Libertalia 23/11 #10

Libertalia • Nov 22, 2025

Record: 2-2-0 • 28 players • Avg ELO: 1028

Friday Night Weekly Play (Constructed) #2

Kingdom Wargames • Nov 07, 2025

Record: 3-1-0 • 16 players • Avg ELO: 1036

Player Insights

Max Win Streak

Max Loss Streak

+41

ELO Gained

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

6 achievements earned

🏛️

Living History

Play 15 matches in Season 9.

📚

A Tale for the Ages

Play 10 matches in Season 9.

📖

The Next Chapter

Play 5 matches in Season 9.

🥇

First Victory

Win your first match.

📖

The First Chapter

Play your first match.

🎮 Achievement Categories

Seasonal_Participation

Special

Participation

🔍 View All Achievements

Top Rivalries

⚔️

B3T_ManuTeran

2 matches played

1-1

50% win rate

🤝 Occasional Opponent

🏆

Cristian Sanz

1 matches played

1-0

100% win rate

🤝 Occasional Opponent

🎯

LBT_ElPastor

1 matches played

0-1

0% win rate

🤝 Occasional Opponent

🏆

Artbuin

1 matches played

1-0

100% win rate

🤝 Occasional Opponent

🏆

TXC_Borjon

1 matches played

1-0

100% win rate

🤝 Occasional Opponent

❄️

Current Streak

Losses

📊

69%

ELO Percentile

vs All Players

📅

This Month

Matches Played

⚡

Avg ELO Change

Per Match

Stores Played

Libertalia

1 tournaments

Kingdom Wargames

1 tournaments

Most Faced Opponents

Opponent	Matches	Wins	Losses	Win Rate
B3T_ManuTeran	2	1	1	50%
Cristian Sanz	1	1	0	100%
LBT_ElPastor	1	0	1	0%
Artbuin	1	1	0	100%
TXC_Borjon	1	1	0	100%
fuuriosoD96	1	0	1	0%
[FG] NaroSniper	1	1	0	100%

B3T_ManuTeran

Matches

Wins

Losses

Draws

Win Rate

50%

Cristian Sanz

Matches

Wins

Losses

Draws

Win Rate

100%

LBT_ElPastor

Matches

Wins

Losses

Draws

Win Rate

Artbuin

Matches

Wins

Losses

Draws

Win Rate

100%

TXC_Borjon

Matches

Wins

Losses

Draws

Win Rate

100%

fuuriosoD96

Matches

Wins

Losses

Draws

Win Rate

[FG] NaroSniper

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

Ppro_Victor

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

B3T_ManuTeran

Cristian Sanz

LBT_ElPastor

Artbuin

TXC_Borjon

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

🏆 Ppro_Victor's Achievements

Season 9 - Fabled

Global Achievements