Player Experience ELO Rating 2019 Points Race
Al Cantito 1762 1700.92 134
Jim Sisti 1734 1569.03 108.75
Jerry Shea 1288 1561.26 88
Ed Corey 1299 1423.94 67.25
Sandy Sisti 1495 1348.06 66.75
Jay Karns 1007 1584.83 61
Andy Fazekas 788 1500.62 61
Bill Porter 636 1605.92 43
Ray Nilson 877 1438.26 38
Frank DiMaggio 88 1556.95 26.5
Al Theriault 327 1499.37 23
Adrian Costa 433 1392.34 14
Marty Storer 45 1539.53 12
Derek Meredith 21 1507.29 7.5
Jim Stutz 212 1546.84 4
Tom Meyer 792 1683.22 3
Dave Mirto 171 1420.91 3
Chris Knapp 61 1535.84 1
Rich Batt 67 1459.28 1
Patty Knapp 32 1455.07 1
Sarah Saltus 175 1421.48 1

Updated 7/19/19


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 additional points available based on the number of event participants. The number of positions (First Place, Second, Place and Third Place) eligible to receive Tournament Points for each event is at the sole discretion of the tournament director depending on the size of the field, the type of competition format, and other contributing factors and will be announced before play starts.  Tournament Points will be distributed as follows:


A.  First Place - Receives an amount equal to the total number of participants


B.  Second Place (Optional) - Receives an amount equal to one-half the total number of participants


C.  Third 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.