LEADER BOARD

Player Experience ELO Rating Annual Points Race
Tom Meyer 674 1698.50 209.25
Al Cantito 682 1683.88 168.25
Jim Sisti 603 1493.99 103.25
Sandy Sisti 591 1398.03 80.25
Ed Corey 585 1463.26 75.5
Jay Karns 402 1507.86 71
Gerhard Roland 254 1501.33 63.5
Ray Nelson 356 1476.95 63.25
Jerry Shea 313 1455.71 46
Bill Porter 210 1573.99 42.5
Andy Fazekas 143 1545.54 24.75
Al Theriault 101 1520.20 17
Dan Whitney 77 1474.56 12.5
Mark Denihan 17 1528.48 11
Ross Gordon 15 1526.77 10
Jim Stutz 57 1494.50 10
Adrian Costa 124 1449.92 9.75
Dave Mirto 116 1418.15 9
Jessica Madeux 94 1396.53 7
Terri White 68 1469.55 4
Rob Roy 55 1478.12 3
Mike Pollack 53 1471.38 3
Scott Hahn 55 1438.15 3
Mike Agranoff 25 1510.28 2
Steve Nahas 19 1490.88 1
Dick Clukey 23 1489.22 1
Chris Masterson 12 1480.01 1
Rich Batt 31 1472.32 1
Frank V 37 1455.54 1
Sarah Siddig 21 1534.37 0
Garrett Duquene 19 1492.78 0
       

Updated 12/8/17

 

Annual Points Race Accrual Methodology

 

For each tournament event, Points are awarded to players as follows:

 

1.  A player receives 1 Point for each match they win and for every meetup they attend.

 

2.  Bonus Points are established based on the number of event participants and distributed thus:

 

A.  1st Place receives an amount equal to the total number of participants

 

B.  2nd Place receives an amount equal to one-half the total number of participants

 

C.  3rd Place (Optional) receives an amount equal to one-quarter the total number of participants

 

All tournament event points awarded to a player are added to their annual cumulative total.

 

FIBS Rating Formula*

 

These are the formulas used to determine the ratings of a player:

 

Let's say that two players P1 and P2 were playing a n-point match. The ratings of the players are r1 for P1 and r2 for P2 .

 

Let D = abs(r1-r2) (rating difference)

Let P_upset = 1/(10^(D*sqrt(n)/2000)+1) (probability that underdog wins).

Let P=1-P_upset if the underdog wins and P=P_upset if the favorite wins.

 

For the winner:

Let K = max ( 1 , -experience/400+2 )

The rating change is: 4*K*sqrt(n)*P

 

For the loser:

Let K = max ( 1 , -experience/400+2 )

The rating change is: -4*K*sqrt(n)*P

 

The 'experience' of a player is the sum of the lengths of all matches a player has finished. Every player starts with a rating of 1500 and an experience of 0.

 

*Thanks to FIBS (First Internet Backgammon Server) for providing the rating formula as part of their HELP menu.