2025 Club Standings

2025 San Diego Backgammon Club rankings through February 5, 2025.
For previous year’s standings, see: 2023 and 2024 final rankings.

RANK

PLAYER

MATCH WINS

MATCH LOSSES

WIN PCT

z-score

EVENTS

1ST PLACE FINISHES

2ND PLACE FINISHES

3RD PLACE FINISHES

Elo

SDBC Ranking Points

1

Frank Frigo

21

8

72.41%

2.4

11

2

1

0

    1,977

53

2

Michael Pines

15

10

60.00%

1.0

9

1

1.5

1.5

    1,643

45

3

Jamshid

13

8

61.90%

1.1

7

1.5

1

1

    1,668

43

4

Allen Tish

14

6

70.00%

1.8

6

1

2

0

    1,827

42

5

Raid Westin

13

9

59.09%

0.9

7

1

1

0

    1,603

33

6

Roger Alves

14

5

73.68%

2.1

6

1

0

1.5

    1,677

32

7

Matt Schoonmaker

9

3

75.00%

1.7

4

1.5

0.5

0

    1,792

31

8

Blake Beber

11

5

68.75%

1.5

5

1

0

2

    1,772

31

9

Kutaiba Almukhtar

13

17

43.33%

-0.7

11

1

0

1

    1,525

29

10

Masoud Sadrieh

12

8

60.00%

0.9

7

0

1.5

1

    1,573

28

11

Justin Sheftell

13

9

59.09%

0.9

9

0.5

0.5

0

    1,712

23

12

Abbas Anvar

13

13

50.00%

0.0

9

0

0

2.5

    1,590

23

13

Sam Rishmawi

10

6

62.50%

1.0

4

0

1

1

    1,637

22

14

Mark Weiner

12

10

54.55%

0.4

8

0

1

0

    1,708

20

15

Manny Armesto

10

11

47.62%

-0.2

7

0

1

0.5

    1,474

20

16

Victor Mizrachi

7

6

53.85%

0.3

5

1

0

0

    1,444

19

17

David Brown

5

2

71.43%

1.1

2

1

0

0

    1,511

17

18

Dorn Bishop

4

0

100.00%

2.0

1

1

0

0

    1,729

16

19

Isaac Cook

4

0

100.00%

2.0

1

1

0

0

    1,569

16

20

David Gray

9

7

56.25%

0.5

6

0.5

0

0

    1,730

15

21

Erik Kipperman

6

3

66.67%

1.0

3

0

1

0

    1,477

14

22

Edna Pines

5

8

38.46%

-0.8

5

0

1

0

    1,297

13

23

Steve Miller

3

1

75.00%

1.0

1

0

1

0

    1,711

11

24

Kevin Duc

6

3

66.67%

1.0

3

0

0

1

    1,571

10

25

Bijan Rahmani

6

4

60.00%

0.6

3

0

0

1

    1,628

10

26

Charles Schleicher

5

2

71.43%

1.1

2

0

0

1

    1,391

9

27

Fahri Cimen

5

6

45.45%

-0.3

4

0

0

1

    1,535

9

28

Kubilay “Koby” Ugurlu

9

11

45.00%

-0.4

7

0

0

0

    1,686

9

29

Jon Vietor

4

5

44.44%

-0.3

4

0

0.5

0

    1,778

8

30

Tom Cox

3

4

42.86%

-0.4

3

0

0.5

0

    1,547

7

31

Avo Fronjian

6

10

37.50%

-1.0

7

0

0

0

    1,615

6

32

Matthew Farjo

6

11

35.29%

-1.2

6

0

0

0

    1,466

6

33

Alexsander Tamari

4

4

50.00%

0.0

2

0

0

0

    1,328

4

34

Paul Palomino

4

9

30.77%

-1.4

5

0

0

0

    1,431

4

35

Mike Stern

3

2

60.00%

0.4

2

0

0

0

    1,554

3

36

Zee

3

5

37.50%

-0.7

3

0

0

0

    1,514

3

37

Abby Ackerman

3

7

30.00%

-1.3

4

0

0

0

    1,434

3

38

Ryan Healey

3

8

27.27%

-1.5

5

0

0

0

    1,455

3

39

Tom Keisler

2

1

66.67%

0.6

1

0

0

0

    1,633

2

40

Daniel  Friedman

2

1

66.67%

0.6

1

0

0

0

    1,529

2

41

Richard Tucker

2

2

50.00%

0.0

1

0

0

0

    1,497

2

42

Jimmy Campbell

2

2

50.00%

0.0

2

0

0

0

    1,495

2

43

Dan Brown

2

2

50.00%

0.0

1

0

0

0

    1,342

2

44

Cliff Johnston

2

3

40.00%

-0.4

2

0

0

0

    1,496

2

45

Andrew Stoen

2

4

33.33%

-0.8

3

0

0

0

    1,451

2

46

Shayan Sombolestani

2

4

33.33%

-0.8

3

0

0

0

    1,361

2

47

Colin Baehman

2

11

15.38%

-2.5

6

0

0

0

    1,340

2

48

Ali B.

1

1

50.00%

0.0

1

0

0

0

    1,638

1

49

Robert Burns

1

1

50.00%

0.0

1

0

0

0

    1,565

1

50

Chanin Tangtartharakul

1

1

50.00%

0.0

1

0

0

0

    1,548

1

51

Kavin Tangtartharakul

1

1

50.00%

0.0

1

0

0

0

    1,512

1

52

Susanne Tucker

1

1

50.00%

0.0

1

0

0

0

    1,505

1

53

Juan Alvarado

1

1

50.00%

0.0

1

0

0

0

    1,486

1

54

Nagy Nosseir

1

1

50.00%

0.0

1

0

0

0

    1,419

1

55

Karam Khalaf

1

1

50.00%

0.0

1

0

0

0

    1,368

1

56

Kevin Creps

1

2

33.33%

-0.6

1

0

0

0

    1,527

1

57

Mauricio

1

2

33.33%

-0.6

1

0

0

0

    1,486

1

58

Ali Kahani

1

2

33.33%

-0.6

1

0

0

0

    1,480

1

59

Steve Schraibman

1

2

33.33%

-0.6

1

0

0

0

    1,467

1

60

Jeff Ackerman

1

2

33.33%

-0.6

1

0

0

0

    1,434

1

61

Sam Mahood

1

2

33.33%

-0.6

2

0

0

0

    1,430

1

62

Osvaldo Topete

1

2

33.33%

-0.6

1

0

0

0

    1,398

1

63

Kyle Harman

1

3

25.00%

-1.0

2

0

0

0

    1,466

1

64

Kiska Higgs

1

3

25.00%

-1.0

2

0

0

0

    1,441

1

65

Krista Hansen

1

3

25.00%

-1.0

2

0

0

0

    1,348

1

66

Anthony Niakiani

1

5

16.67%

-1.6

3

0

0

0

    1,830

1

67

Victoria Healey

1

5

16.67%

-1.6

3

0

0

0

    1,343

1

68

Nancy  Friedman

0

1

0.00%

-1.0

1

0

0

0

    1,477

0

69

Santiago Pinon

0

2

0.00%

-1.4

1

0

0

0

    1,494

0

70

Ellie Ackerman

0

2

0.00%

-1.4

1

0

0

0

    1,472

0

71

Regan Lambeth

0

2

0.00%

-1.4

1

0

0

0

    1,459

0

72

Jay Srion

0

2

0.00%

-1.4

1

0

0

0

    1,458

0

73

Tim Hallisay

0

2

0.00%

-1.4

1

0

0

0

    1,458

0

74

Duke S

0

2

0.00%

-1.4

1

0

0

0

    1,455

0

75

Mustafa Shaikh

0

2

0.00%

-1.4

1

0

0

0

    1,454

0

76

Jeffrey Light

0

2

0.00%

-1.4

1

0

0

0

    1,398

0

77

Jen Brown

0

2

0.00%

-1.4

1

0

0

0

    1,379

0

78

Buffy Zehnder

0

2

0.00%

-1.4

1

0

0

0

    1,336

0

79

Byron Georgiou

0

2

0.00%

-1.4

1

0

0

0

    1,323

0

80

Noah Mayeda

0

4

0.00%

-2.0

2

0

0

0

    1,422

0

Z-SCORE – a statistic used to measure results more accurately with consideration of total matches played, and reflects the number of standard deviations from the mean performance.  The mean is assumed to be a 50/50 coin flip.

SDBG RANKING POINTS – Each match win is worth 1 point. For a standard sixteen person bracket, 1st place receives 12 points, 2nd place receives 8 points, and 3rd place receives 4 points. Splits of 1st/2nd each receive 10 points, and splits of 3rd each receive 2 points. For an eight person bracket, ranking points for 1st/2nd/3rd are halved. Forfeited matches and byes are not scored.

Elo – A rating system that measures the relative strength of a player. A player’s Elo rating increases when they win, and decreases when they lose. The amount of the increase/decrease depends on the strength of their opponent, how long the match is (e.g. 7 points or 5 points), and how many matches the player has played. The difference in Elo ratings between two players can estimate each player’s win chances in the match based on a formula. For example, a player whose rating is 100 points greater than their opponent’s is expected to win a 7 point match 58% of the time. Every player starts with a rating of 1500.

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