2017 MID-SEASON EXPECTED WINS

Thanks to Casey Hoch for putting this together.

Team	Wins	Losses	Runs For	R Allowed	Exp W %	Exp Win	Exp Loss	Difference	exp
MCM	51	33	412	317	.618	52	32	-1	1.837
MAN	49	35	390	293	.628	53	31	-4	1.837
DAL	31	53	333	500	.322	27	57	4	1.837
FRE	25	59	309	461	.324	27	57	-2	1.837
SWD	21	63	283	556	.224	19	65	2	1.837

CHI	64	20	502	280	.745	63	21	1	1.837
DET	61	23	491	255	.769	65	19	-4	1.837
TIJ	50	34	384	297	.616	52	32	-2	1.837
YSS	41	43	398	382	.519	44	40	-3	1.837

HOL	57	27	414	274	.681	57	27	0	1.837
MSS	37	47	376	394	.479	40	44	-3	1.837
VIR	36	48	377	424	.446	37	47	-1	1.837
SBL	35	49	363	458	.395	33	51	2	1.837
CCC	30	54	345	486	.348	29	55	1	1.837

Team	Wins	Losses	Runs For	R Allowed	Exp W %	Exp Win	Exp Loss	Difference	exp
BET	57	27	378	284	.628	53	31	4	1.837
PIT	46	38	343	293	.572	48	36	-2	1.837
WCB	46	38	360	362	.497	42	42	4	1.837
CRK	36	48	339	322	.524	44	40	-8	1.837
JNE	34	50	281	338	.416	35	49	-1	1.837

TEM	69	15	464	229	.785	66	18	3	1.837
COL	52	32	379	251	.681	57	27	-5	1.837
VAL	30	54	299	377	.395	33	51	-3	1.837
SEL	22	62	219	400	.249	21	63	1	1.837

SAC	61	23	383	197	.772	65	19	-4	1.837
TCP	53	31	359	273	.623	52	32	1	1.837
LBD	32	52	252	378	.322	27	57	5	1.837
GHG	29	55	274	362	.375	31	53	-2	1.837
RRG	21	63	180	444	.160	13	71	8	1.837

These were calculated using the Pythagorean/Pythagenport Expected Wins Calculation.
Expected Winning Percentage= (Runs Scored^exp)/((Runs Scored^exp)+(Runs Allowed^exp)),
where the exponent (exp) is 0.45+1.5*log(League-Wide Runs Per Game), which in our case was 1.837 .

2017 MID-SEASON EXPECTED WINS

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