2016 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
DAL	57	27	395	284	.643	54	30	3	1.789
MCM	55	29	372	277	.629	53	31	2	1.789
MAN	42	42	304	274	.546	46	38	-4	1.789
FRE	32	52	284	455	.301	25	59	7	1.789
SWD	21	63	239	435	.255	21	63	0	1.789

DET	62	22	497	234	.794	67	17	-5	1.789
CHI	58	26	399	263	.678	57	27	1	1.789
YSS	44	40	373	332	.552	46	38	-2	1.789
TIJ	39	45	349	392	.448	38	46	1	1.789

HOL	54	30	438	271	.702	59	25	-5	1.789
VIR	38	46	332	441	.376	32	52	6	1.789
MSS	35	49	362	406	.449	38	46	-3	1.789
SBL	28	56	348	463	.375	31	53	-3	1.789
CCC	23	61	205	370	.258	22	62	1	1.789
Team	Wins	Losses	Runs For	R Allowed	Exp W %	Exp Win	Exp Loss	Difference	exp
BET	52	32	316	249	.605	51	33	1	1.789
PIT	42	42	354	352	.503	42	42	0	1.789
NYO	37	47	276	280	.494	41	43	-4	1.789
JNE	32	52	298	353	.425	36	48	-4	1.789
CRK	29	55	284	355	.401	34	50	-5	1.789

COL	65	19	375	252	.671	56	28	9	1.789
TEM	62	22	398	228	.730	61	23	1	1.789
VAL	40	44	275	314	.441	37	47	3	1.789
SEL	22	62	224	391	.270	23	61	-1	1.789

SAC	59	25	368	208	.735	62	22	-3	1.789
CWK	56	28	376	245	.683	57	27	-1	1.789
LBD	43	41	271	312	.437	37	47	6	1.789
TCP	27	57	263	363	.360	30	54	-3	1.789
GHG	22	62	215	391	.255	21	63	1	1.789

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 1.789362284 .
http://www.baseballprospectus.com/cards/glossary.html#PYTHAGENPORT

2016 MID-SEASON EXPECTED WINS

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