LEADER BOARD

Player Experience ELO Rating 2018 Points Race
Al Cantito 1319 1667.11 186.25
Jim Sisti 1194 1529.59 141.75
Jerry Shea 843 1516.09 133.25
Jay Karns 786 1550.49 104.75
Andy Fazekas 497 1508.62 82
Sandy Sisti 1078 1364.93 80.75
Bill Porter 425 1649.73 75.5
Ray Nilson 687 1489.16 68.25
Ed Corey 891 1443.39 58.5
Jim Stutz 176 1564.88 44.5
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
Sarah Saltus 175 1421.48 17.5
Gerhard Roland 313 1501.58 17
Felix Goykhman 52 1528.48 15
Mike Pollack 115 1437.90 11.25
Tom Meyer 758 1689.47 10.25
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 10/12/18

 

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.  Tournament 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.