LEADER BOARD

Player Experience ELO Rating Annual Points Race
Al Cantito 1269 1698.28 179.25
Jerry Shea 804 1514.30 125.25
Jim Sisti 1131 1516.42 121.75
Jay Karns 765 1535.90 92.75
Andy Fazekas 468 1523.88 78
Sandy Sisti 1025 1369.53 72.75
Ray Nilson 687 1489.16 68.25
Bill Porter 404 1647.94 65.5
Jim Stutz 135 1548.58 29.75
Ed Corey 828 1408.18 29
Chris Knapp 45 1557.17 26
Frank Vaccarino 208 1410.49 26
Al Theriault 228 1505.38 22.5
Adrian Costa 304 1413.21 18
Gerhard Roland 313 1501.58 17
Sarah Saltus 151 1450.74 15.5
Felix Goykhman 52 1528.48 15
Tom Meyer 758 1689.47 10.25
Mike Pollack 103 1450.98 9.25
Garrett Duquene 82 1505.09 7
Dave Mirto 139 1412.66 4
Gary Koscielny 34 1501.04 3
Paul A Caracciolo 30 1499.58 3
Rich Batt 55 1473.06 3
Paul M Caracciolo 25 1489.30 2
Scott Salisbury 23 1488.29 2
Jim O'Toole 7 1489.95 1
Patty Knapp 16 1476.71 1
Scott Hahn 62 1429.23 1
       

Updated 9/14/18

 

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.