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Fall 2019 Season Stats

10/4/2024 3:30 am

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

Week 3 Scores

Home Team	Wins	Visiting Team	Wins
T-N-T	16	Dragons	11
Loose Cannons	19	The Darby's	8
Okilly Dokilly	11	What had Happened Was	19
Hot Chocolate & the Marshmallows	15	J's All the Way	14
Demolition Crew	BYE

Team Standings as of Week 3

Division 1

Team	Total Wins	Total Losses	Win %	Byes left
Loose Cannons	57	29	66.3%	3
What had Happened Was	52	36	59.1%	3
Demolition Crew	44	11	80%	2

Division 2

Team	Total Wins	Total Losses	Win %	Byes left
The Darby's	37	46	44.6%	2
Hot Chocolate & the Marshmallows	37	46	44.6%	2
Dragons	35	50	41.2%	2
T-N-T	33	52	38.8%	2
Okilly Dokilly	23	34	40.4%	1
J's All the Way	22	36	37.9%	1

Player Standings as of Week 3

Division 1

Place	Player Name	1	2	3	Total	TGPTotal Games Played (Singles and Doubles)	PPGAPersonal Points Per Game Average	Win %Singles Games Win %	Rating
1	Dave Bonham	60	37	45	142	27	5.26	78.6	1227
2	Chuck D	26	35	43	104	27	3.85	92.3	1248
3	John Downes	27	39	33	99	29	3.41	68.8	1163
4	Mike Lagana	49	45	--	94	17	5.53	88.9	1203
5	Tom Conrad Jr.	41	40	--	81	18	4.5	80	1186
6	Dre	25	22	27	74	28	2.64	73.3	1149
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	3	Total	TGPTotal Games Played (Singles and Doubles)	PPGAPersonal Points Per Game Average	Win %Singles Games Win %	Rating
1	Mike Lantz	11	27	29	67	27	2.48	57.1	1066
2	Greg O	24	26	9	59	24	2.46	50	1058
3	Kelli	25	22	11	58	29	2	41.2	1051
4	Jimmy O	18	23	14	55	22	2.5	50	1051
5	Mike Darby	23	19	8	50	27	1.85	57.1	1032
5	Jeff B	29	--	21	50	21	2.38	45.5	1042
6	Que	25	--	18	43	16	2.69	28.6	1023
7	Jeff Flannery	25	11	2	38	19	2	46.2	1031
8	TJ	--	--	32	32	8	4	100	1131
9	Van	--	--	30	30	9	3.33	20	1022
10	Nick C	--	29	--	29	9	3.22	60	1078
11	O'dell	18	--	--	18	9	2	80	1094
12	Patrick Hamilton	--	--	13	13	7	1.86	40	1034
13	Mike Webster	--	11	--	11	7	1.57	40	1026

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

Division 3

Place	Player Name	1	2	3	Total	TGPTotal Games Played (Singles and Doubles)	PPGAPersonal Points Per Game Average	Win %Singles Games Win %	Rating
1	Tie Die	25	19	28	72	32	2.25	50	1014
2	Erica Drake	11	18	19	48	29	1.66	50	1011
3	Scott Jay	--	14	29	43	19	2.26	55.6	1052
4	Mike Jones	19	14	6	39	27	1.44	50	1009
5	Oscar Ross	20	8	9	37	21	1.76	55.6	1032
6	Eddie Jay	--	10	22	32	18	1.78	54.5	1052
7	Chris K	18	7	5	30	22	1.36	46.2	1013
8	Juliana O	9	13	6	28	25	1.12	47.1	987
8	Dana W	--	13	15	28	21	1.33	40	1003
9	John Jay	--	13	12	25	17	1.47	14.3	952
10	Howard Laisure	8	16	--	24	20	1.2	36.4	990
11	John Moore	13	--	10	23	20	1.15	20	946
12	Thornie P	9	--	13	22	17	1.29	77.8	1095
13	Charles Jay	--	13	--	13	10	1.3	20	976
14	Travis	11	--	--	11	8	1.38	50	1020
15	Larry Cox	5	--	--	5	10	0.5	20	973
16	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	3	Total	TGPTotal Games Played (Singles and Doubles)	PPGAPersonal Points Per Game Average	Win %Singles Games Win %	Rating
1	Tammy V	12	5	13	30	28	1.07	43.8	961
2	Tina G	10	6	8	24	25	0.96	45.5	956
3	Donna L	6	9	6	21	19	1.11	18.2	906
4	Rick Johnson	--	10	9	19	17	1.12	44.4	1001
5	Junior Johnson	5	1	11	17	22	0.77	23.1	921
6	Mel F	--	--	10	10	7	1.43	80	1063
7	John Brett	--	1	8	9	13	0.69	14.3	943
8	Charlie S	--	--	7	7	9	0.78	20	968

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

Show Player Rating Details

Before SQL: 03:30:23am

After SQL: 03:30:23am

Before Elo processing: 03:30:23am

After Initial ratings: 03:30:23am

After Elo processing: 03:30:23am

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.