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Fall 2019 Season Stats

9/19/2024 5:06 pm

Week: 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | 19 | 20 | 21

Week 2 Scores

Home Team	Wins	Visiting Team	Wins
J's All the Way	8	Loose Cannons	21
Dragons	11	Hot Chocolate & the Marshmallows	17
What had Happened Was	15	The Darby's	14
Demolition Crew	23	T-N-T	6
Okilly Dokilly	BYE

Team Standings as of Week 2

Division 1

Team	Total Wins	Total Losses	Win %	Byes left
Demolition Crew	44	11	80%	3
Loose Cannons	38	21	64.4%	3
What had Happened Was	33	25	56.9%	3

Division 2

Team	Total Wins	Total Losses	Win %	Byes left
The Darby's	29	27	51.8%	2
Dragons	24	34	41.4%	2
Hot Chocolate & the Marshmallows	22	32	40.7%	2
T-N-T	17	41	29.3%	2
Okilly Dokilly	12	15	44.4%	1
J's All the Way	8	21	27.6%	1

Player Standings as of Week 2

Division 1

Place	Player Name	1	2	Total	TGPTotal Games Played (Singles and Doubles)	PPGAPersonal Points Per Game Average	Win %Singles Games Win %	Rating
1	Dave Bonham	60	37	97	19	5.11	70	1174
2	Mike Lagana	49	45	94	17	5.53	88.9	1203
3	Tom Conrad Jr.	41	40	81	18	4.5	80	1185
4	John Downes	27	39	66	20	3.3	63.6	1122
5	Chuck D	26	35	61	16	3.81	100	1211
6	Dre	25	22	47	18	2.61	88.9	1167
7	Alan Mathews	--	40	40	9	4.44	80	1137
8	Lee F	31	--	31	9	3.44	100	1135

171-180	Dave Bonham - 180	High Out	Chuck D - 122
High Mark Out		6 Cork
9 Mark	Mike Lagana - x2 Dave Bonham

Division 2

Place	Player Name	1	2	Total	TGPTotal Games Played (Singles and Doubles)	PPGAPersonal Points Per Game Average	Win %Singles Games Win %	Rating
1	Greg O	24	26	50	20	2.5	41.7	1022
2	Kelli	25	22	47	19	2.47	36.4	1034
3	Mike Darby	23	19	42	19	2.21	60	1066
4	Jimmy O	18	23	41	18	2.28	50	1048
5	Mike Lantz	11	27	38	17	2.24	44.4	1017
6	Jeff Flannery	25	11	36	13	2.77	66.7	1093
7	Nick C	--	29	29	9	3.22	60	1078
7	Jeff B	29	--	29	10	2.9	50	1060
8	Que	25	--	25	10	2.5	40	1051
9	O'dell	18	--	18	9	2	80	1093
10	Mike Webster	--	11	11	7	1.57	40	1028

171-180		High Out
High Mark Out	Mike Lantz - 6	6 Cork
9 Mark	Mike Lantz

Division 3

Place	Player Name	1	2	Total	TGPTotal Games Played (Singles and Doubles)	PPGAPersonal Points Per Game Average	Win %Singles Games Win %	Rating
1	Tie Die	25	19	44	22	2	50	1024
2	Mike Jones	19	14	33	18	1.83	44.4	1026
3	Erica Drake	11	18	29	19	1.53	60	1048
4	Oscar Ross	20	8	28	15	1.87	42.9	1002
5	Chris K	18	7	25	16	1.56	44.4	1015
6	Howard Laisure	8	16	24	20	1.2	36.4	987
7	Juliana O	9	13	22	20	1.1	50	1011
8	Scott Jay	--	14	14	10	1.4	20	977
9	Dana W	--	13	13	10	1.3	40	1006
9	Charles Jay	--	13	13	10	1.3	20	975
9	John Moore	13	--	13	9	1.44	20	987
9	John Jay	--	13	13	7	1.86	0	1004
10	Travis	11	--	11	8	1.38	50	1020
11	Eddie Jay	--	10	10	8	1.25	40	1005
12	Thornie P	9	--	9	8	1.13	100	1082
13	Larry Cox	5	--	5	10	0.5	20	973
14	Tammy Ryan	4	--	4	8	0.5	0	951

171-180		High Out
High Mark Out		6 Cork
9 Mark

Division 4

Place	Player Name	1	2	Total	TGPTotal Games Played (Singles and Doubles)	PPGAPersonal Points Per Game Average	Win %Singles Games Win %	Rating
1	Tammy V	12	5	17	19	0.89	36.4	955
2	Tina G	10	6	16	18	0.89	55.6	990
3	Donna L	6	9	15	15	1	22.2	931
4	Rick Johnson	--	10	10	10	1	33.3	991
5	Junior Johnson	5	1	6	15	0.4	0	887
6	John Brett	--	1	1	4	0.25	0	969

171-180		High Out	Rick Johnson - 116
High Mark Out	Rick Johnson - 9	6 Cork
9 Mark

Show Player Rating Details

Before SQL: 05:06:18pm

After SQL: 05:06:18pm

Before Elo processing: 05:06:18pm

After Initial ratings: 05:06:18pm

After Elo processing: 05:06:18pm

Show how the rating calculated

How is the rating calculated:

Base rating is set at 1000 (this is just so we don't have negative ratings)
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)
For each singles game a player plays we calculate the points exchanged from the loser of the game to the winner of the game.
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)
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.
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.