Fall 2019 Season Stats Print stats
3/29/2020 6:14 pm
Week: 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | 19 | 20 | 21
Week 1 Scores
Home TeamWinsVisiting TeamWins
Loose Cannons17Dragons13
Hot Chocolate & the Marshmallows5Demolition Crew21
The Darby's15Okilly Dokilly12
T-N-T11What had Happened Was18
J's All the WayBYE

Team Standings as of Week 1
Division 1
TeamTotal WinsTotal LossesWin %Byes leftMake ups
Demolition Crew21580.8%30
What had Happened Was181162.1%30
Loose Cannons171356.7%30
Division 2
TeamTotal WinsTotal LossesWin %Byes leftMake ups
The Darby's151255.6%20
Dragons131743.3%20
Okilly Dokilly121544.4%20
T-N-T111837.9%20
Hot Chocolate & the Marshmallows52119.2%20
J's All the Way000%10

Player Standings as of Week 1
Division 1
PlacePlayer Name1Total
TGPTotal Games Played (Singles and Doubles)
PPGAPersonal Points Per Game Average
Win %Singles Games Win %
Rating
1
Dave Bonham
60
60
10
6
50
1118
2
Mike Lagana
49
49
8
6.13
100
1179
3
Tom Conrad Jr.
41
41
8
5.13
100
1169
4
Lee F
31
31
9
3.44
100
1133
5
John Downes
27
27
10
2.7
50
1059
6
Chuck D
26
26
8
3.25
100
1145
7
Dre
25
25
9
2.78
80
1111
171-180
  1. Dave Bonham - 180
High Out
  1. Chuck D - 122
High Mark Out6 Cork
9 Mark
  1. Mike Lagana - x2
  2. Dave Bonham

Division 2
PlacePlayer Name1Total
TGPTotal Games Played (Singles and Doubles)
PPGAPersonal Points Per Game Average
Win %Singles Games Win %
Rating
1
Jeff B
29
29
10
2.9
50
1063
2
Jeff Flannery
25
25
7
3.57
80
1110
2
Kelli
25
25
9
2.78
20
1012
2
Que
25
25
10
2.5
40
1052
3
Greg O
24
24
10
2.4
50
1049
4
Mike Darby
23
23
8
2.88
100
1114
5
O'dell
18
18
9
2
80
1094
5
Jimmy O
18
18
10
1.8
50
1031
6
Mike Lantz
11
11
8
1.38
0
976
171-180High Out
High Mark Out6 Cork
9 Mark
  1. Mike Lantz

Division 3
PlacePlayer Name1Total
TGPTotal Games Played (Singles and Doubles)
PPGAPersonal Points Per Game Average
Win %Singles Games Win %
Rating
1
Tie Die
25
25
11
2.27
50
1057
2
Oscar Ross
20
20
9
2.22
60
1042
3
Mike Jones
19
19
9
2.11
40
1021
4
Chris K
18
18
11
1.64
33.3
997
5
John Moore
13
13
9
1.44
20
990
6
Erica Drake
11
11
10
1.1
40
1002
6
Travis
11
11
8
1.38
50
1020
7
Thornie P
9
9
8
1.13
100
1083
7
Juliana O
9
9
10
0.9
50
1020
8
Howard Laisure
8
8
9
0.89
20
970
9
Larry Cox
5
5
10
0.5
20
973
10
Tammy Ryan
4
4
8
0.5
0
954
171-180High Out
High Mark Out6 Cork
9 Mark

Division 4
PlacePlayer Name1Total
TGPTotal Games Played (Singles and Doubles)
PPGAPersonal Points Per Game Average
Win %Singles Games Win %
Rating
1
Tammy V
12
12
9
1.33
40
987
2
Tina G
10
10
9
1.11
50
1014
3
Donna L
6
6
8
0.75
0
946
4
Junior Johnson
5
5
9
0.56
0
941
171-180High Out
High Mark Out6 Cork
9 Mark

Show Player Rating Details
Before SQL: 06:14:19pm
After SQL: 06:14:19pm
Before Elo processing: 06:14:19pm
After Initial ratings: 06:14:19pm
After Elo processing: 06:14:19pm
Show how the rating calculated
How is the rating calculated:
  1. Base rating is set at 1000 (this is just so we don't have negative ratings)
  2. Personal Points per Game Average times 20 is added to the Base rating (this is done to get an initial spread in the ratings, 20 is considered the weight the Personal Points per Game Average is given in the ratings)
  3. For each singles game a player plays we calculate the points exchanged from the loser of the game to the winner of the game.
  4. We adjust the lower ranked players rating up 50 points per difference in rank (a rank 3 shooter will get 100 points on their rating when facing a rank 1 shooter, this is an attempt to take the handicap into account)
  5. Given the adjusted ratings we calculated expected win % as 1 / (1 + 10^(($playerBRating - $playerARating)/ 400)) In this equation 400 is double the points difference needed to give one player a 75% chance of beating the other.
  6. Finally we can calculate the points exchanged between players as K * (1-expectedWin%) Where K is the weight each game is given in the ratings. If there is a 50/50 chance either player could win there would be 16 points exchanged between the players.

The variables in these ratings come down to how much weight we put on the PPGA (20), the weight we give the handicap (50) and the weight we give each game (32). I am still seeing if these numbers make sense and might adjust them as we get more data.