LEADER BOARD

Player Experience ELO Rating 2019 Points Race
Al Cantito 1654 1714.63 106.5
Jim Sisti 1598 1539.25 69.5
Jerry Shea 1187 1534.97 65.25
Ed Corey 1215 1445.44 58.25
Andy Fazekas 751 1514.94 58
Jay Karns 974 1587.63 53.5
Sandy Sisti 1418 1328.74 50
Ray Nilson 865 1447.98 37
Frank DiMaggio 45 1547.51 19
Bill Porter 532 1609.19 17
Adrian Costa 381 1405.36 9
Derek Meredith 21 1507.29 7.5
Al Theriault 257 1483.51 4
Jim Stutz 188 1550.02 1
Sarah Saltus 175 1421.48 1
       

Updated 5/17/19

 

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.