🏆 Levante ELO Rankings

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Competitive player rankings for Levante, Spain

📊 Last updated: Aug 18, 2025, 11:46 AM (calculations are currently manual)

🏆 Only showing players who have competed in 2+ tournaments

272

Total Players

185

Active Players

2240

Total Matches

1 LD_McPlanck

1193

27W 10L 6D

43 matches

62.8%

2 JJ_Pulsar 🚀

1193

27W 11L 4D

42 matches

64.3%

3 Georgegoo

1193

25W 7L 3D

35 matches

71.4%

4 Alvaro 🫶🏼 PEAK

1181

25W 14L 6D

45 matches

55.6%

5 Arual

1164

29W 13L 5D

47 matches

61.7%

6 George 🐳

1163

45W 27L 5D

77 matches

58.4%

7 LD_Koma

1161

36W 21L 7D

64 matches

56.2%

8 ROBIN_NO_HOOD PEAK

1142

23W 14L 2D

39 matches

59.0%

9 LD_Juanfra

1137

26W 13L 6D

45 matches

57.8%

10 Mateo

1133

24W 9L 3D

36 matches

66.7%

11 Joda85

1129

12W 5L 4D

21 matches

57.1%

12 LD_Pepelurivas

1127

34W 16L 7D

57 matches

59.6%

13 Coleto-San

1123

47W 20L 7D

74 matches

63.5%

14 Hesiro

1121

16W 8L 5D

29 matches

55.2%

15 TS_RDurban

1115

23W 14L

37 matches

62.2%

16 lucapereiro

1110

20W 9L 2D

31 matches

64.5%

17 laparra

1110

21W 14L 1D

36 matches

58.3%

18 LD_Lorfessor

1107

16W 7L 3D

26 matches

61.5%

19 LD_Milanés

1106

12W 4L 4D

20 matches

60.0%

20 Tertrix

1103

17W 9L

26 matches

65.4%

21 Lumbre🔥 PEAK

1101

35W 26L 5D

66 matches

53.0%

22 Monitrick PEAK

1099

28W 30L

58 matches

48.3%

23 Kumiho PEAK

1098

16W 9L

25 matches

64.0%

24 LD_Milanés

1097

13W 9L 3D

25 matches

52.0%

25 MK_Chicho

1092

21W 11L 5D

37 matches

56.8%

Rank

Player

ELO Rating

Matches

Win Rate

Record

LD_McPlanck

1193

62.8%

27W 10L 6D

JJ_Pulsar 🚀

1193

64.3%

27W 11L 4D

Georgegoo

1193

71.4%

25W 7L 3D

Alvaro 🫶🏼

1181 PEAK

55.6%

25W 14L 6D

Arual

1164

61.7%

29W 13L 5D

George 🐳

1163

58.4%

45W 27L 5D

LD_Koma

1161

56.2%

36W 21L 7D

ROBIN_NO_HOOD

1142 PEAK

59.0%

23W 14L 2D

LD_Juanfra

1137

57.8%

26W 13L 6D

Mateo

1133

66.7%

24W 9L 3D

Joda85

1129

57.1%

12W 5L 4D

LD_Pepelurivas

1127

59.6%

34W 16L 7D

Coleto-San

1123

63.5%

47W 20L 7D

Hesiro

1121

55.2%

16W 8L 5D

TS_RDurban

1115

62.2%

23W 14L

lucapereiro

1110

64.5%

20W 9L 2D

laparra

1110

58.3%

21W 14L 1D

LD_Lorfessor

1107

61.5%

16W 7L 3D

LD_Milanés

1106

60.0%

12W 4L 4D

Tertrix

1103

65.4%

17W 9L

Lumbre🔥

1101 PEAK

53.0%

35W 26L 5D

Monitrick

1099 PEAK

48.3%

28W 30L

Kumiho

1098 PEAK

64.0%

16W 9L

LD_Milanés

1097

52.0%

13W 9L 3D

MK_Chicho

1092

56.8%

21W 11L 5D

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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 (typically 1200), 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 (1200) vs Opponent (1400)

Expected: You have ~24% chance to win

If you win: +24 rating points!

Losing to a Lower-Rated Player

You (1400) vs Opponent (1200)

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 are treated as 0.5 points for both players
• The system is self-correcting - ratings tend toward your true skill level

🏆 Levante ELO Rankings

🏪 Tournament Data Sources - Levante, Spain

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