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Fall 2019 Season Stats

11/1/2025 1:37 pm

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

Week 4 Scores

Home Team	Wins	Visiting Team	Wins
What had Happened Was	12	Loose Cannons	16
The Darby's	17	Hot Chocolate & the Marshmallows	11
Demolition Crew	24	Okilly Dokilly	0
J's All the Way	18	T-N-T	9
Dragons	BYE

Team Standings as of Week 4

Division 1

Team	Total Wins	Total Losses	Win %	Byes left
Loose Cannons	73	41	64%	3
Demolition Crew	68	11	86.1%	2
What had Happened Was	64	52	55.2%	3

Division 2

Team	Total Wins	Total Losses	Win %	Byes left
The Darby's	54	57	48.6%	2
Hot Chocolate & the Marshmallows	48	63	43.2%	2
T-N-T	42	70	37.5%	2
J's All the Way	40	45	47.1%	1
Dragons	35	50	41.2%	1
Okilly Dokilly	23	58	28.4%	1

Player Standings as of Week 4

Division 1

Place	Player Name	1	2	3	4	Total	TGPTotal Games Played (Singles and Doubles)	PPGAPersonal Points Per Game Average	Win %Singles Games Win %	Rating
1	Dave Bonham	60	37	45	32	174	35	4.97	83.3	1270
2	Chuck D	26	35	43	50	154	37	4.16	83.3	1239
3	Mike Lagana	49	45	--	45	139	25	5.56	92.3	1239
4	John Downes	27	39	33	33	132	39	3.38	61.9	1173
5	Tom Conrad Jr.	41	40	--	40	121	26	4.65	85.7	1233
6	Dre	25	22	27	28	102	38	2.68	75	1188
7	Alan Mathews	--	40	--	41	81	17	4.76	88.9	1184
8	Lee F	31	--	--	32	63	17	3.71	100	1197
9	Mark Fair	--	--	--	0	0	2	0	0	975

171-180	Dave Bonham - 180	High Out	Chuck D - 122
High Mark Out	Chuck D - 7	6 Cork
9 Mark	Mike Lagana - x2 Dave Bonham

Division 2

Place	Player Name	1	2	3	4	Total	TGPTotal Games Played (Singles and Doubles)	PPGAPersonal Points Per Game Average	Win %Singles Games Win %	Rating
1	Mike Lantz	11	27	29	41	108	37	2.92	55	1076
2	Jeff B	29	--	21	23	73	29	2.52	33.3	996
3	Kelli	25	22	11	14	72	36	2	45	1065
4	Mike Darby	23	19	8	12	62	36	1.72	57.9	1046
5	Greg O	24	26	9	--	59	24	2.46	50	1057
6	Jimmy O	18	23	14	--	55	22	2.5	50	1051
7	TJ	--	--	32	15	47	17	2.76	50	1064
7	Jeff Flannery	25	11	2	9	47	24	1.96	55.6	1071
8	Que	25	--	18	--	43	16	2.69	28.6	1023
9	Van	--	--	30	--	30	9	3.33	20	1022
10	Nick C	--	29	--	--	29	9	3.22	60	1078
11	Jimmy Flannery	--	--	--	23	23	7	3.29	100	1093
12	O'dell	18	--	--	--	18	9	2	80	1094
13	Patrick Hamilton	--	--	13	--	13	7	1.86	40	1034
14	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 Jeff B

Division 3

Place	Player Name	1	2	3	4	Total	TGPTotal Games Played (Singles and Doubles)	PPGAPersonal Points Per Game Average	Win %Singles Games Win %	Rating
1	Tie Die	25	19	28	14	86	41	2.1	43.5	976
2	Scott Jay	--	14	29	31	74	29	2.55	64.3	1082
3	Erica Drake	11	18	19	14	62	38	1.63	42.9	973
4	Eddie Jay	--	10	22	26	58	27	2.15	66.7	1104
5	John Jay	--	13	12	30	55	26	2.12	45.5	1032
6	Mike Jones	19	14	6	10	49	36	1.36	50	1008
7	Dana W	--	13	15	15	43	28	1.54	46.2	1013
8	Oscar Ross	20	8	9	3	40	28	1.43	45.5	993
9	Chris K	18	7	5	3	33	26	1.27	35.3	959
10	Juliana O	9	13	6	--	28	25	1.12	47.1	988
11	Thornie P	9	--	13	3	25	25	1	53.8	1033
12	Howard Laisure	8	16	--	--	24	20	1.2	36.4	991
12	John Moore	13	--	10	1	24	28	0.86	14.3	902
13	Charles Jay	--	13	--	--	13	10	1.3	20	976
14	Travis	11	--	--	--	11	8	1.38	50	1020
15	Tammy Ryan	4	--	--	5	9	16	0.56	0	913
16	Larry Cox	5	--	--	M	5	19	0.26	40	988

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

Division 4

Place	Player Name	1	2	3	4	Total	TGPTotal Games Played (Singles and Doubles)	PPGAPersonal Points Per Game Average	Win %Singles Games Win %	Rating
1	Tammy V	12	5	13	12	42	37	1.14	55	1014
2	Donna L	6	9	6	6	27	26	1.04	30.8	944
2	Junior Johnson	5	1	11	10	27	32	0.84	22.2	901
3	Tina G	10	6	8	1	25	31	0.81	33.3	894
3	Rick Johnson	--	10	9	6	25	24	1.04	36.4	964
4	John Brett	--	1	8	9	18	22	0.82	9.1	890
5	Mel F	--	--	10	2	12	12	1	57.1	1017
6	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: 01:37:53pm

After SQL: 01:37:53pm

Before Elo processing: 01:37:53pm

After Initial ratings: 01:37:53pm

After Elo processing: 01:37:53pm

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.