Get Adobe Flash player

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

MWBL TRADE DEADLINE
WEDNESDAY 07/17/2019
AT 11:59 PM - ET!

Days
-6
-4
Hrs
0
0
Min
-2
-7
Sec
-5
-8