MLB Scores and Standings Monday, July 17, 1939
This page is missing Negro League games because we do not have that data at this time. More about data coverage
W |
Charlie Root (3-3) |
L |
Whit Wyatt (8-2) |
W |
Bucky Walters (15-6) |
L |
Danny MacFayden (7-8) |
W |
Bump Hadley (8-3) |
L |
Bob Feller (14-4) |
W |
Bobo Newsom (10-6) |
L |
Woody Rich (4-3) |
W |
Curt Davis (11-10) |
L |
Hal Schumacher (6-7) |
S |
Clyde Shoun (2) |
W |
Joe Bowman (6-5) |
L |
Ray Harrell (1-3) |
W |
Bob Joyce (3-2) |
L |
Bob Harris (2-4) |
S |
Nels Potter (1) |
Standings Up to and Including this Date
AL Overall Table
Tm |
W |
L |
W-L% |
GB |
RS |
RA |
pythW-L% |
NYY | 58 | 23 | .716 | -- | 507 | 277 | .751 |
BOS | 47 | 26 | .644 | 7.0 | 458 | 382 | .582 |
CHW | 43 | 35 | .551 | 13.5 | 397 | 401 | .495 |
CLE | 40 | 39 | .506 | 17.0 | 382 | 384 | .498 |
DET | 40 | 40 | .500 | 17.5 | 432 | 401 | .534 |
WSH | 33 | 50 | .398 | 26.0 | 407 | 451 | .453 |
PHA | 31 | 48 | .392 | 26.0 | 392 | 529 | .366 |
SLB | 24 | 55 | .304 | 33.0 | 407 | 557 | .360 |
NAL Overall Table
Tm |
W |
L |
W-L% |
GB |
RS |
RA |
pythW-L% |
CBR | 0 | 0 | .000 | -- | 0 | 0 | |
CAG | 0 | 0 | .000 | -- | 0 | 0 | |
TC | 0 | 0 | .000 | -- | 0 | 0 | |
IAB | 0 | 0 | .000 | -- | 0 | 0 | |
KCM | 0 | 0 | .000 | -- | 0 | 0 | |
MRS | 0 | 0 | .000 | -- | 0 | 0 | |
SL3 | 0 | 0 | .000 | -- | 0 | 0 | |
NL Overall Table
Tm |
W |
L |
W-L% |
GB |
RS |
RA |
pythW-L% |
CIN | 47 | 29 | .618 | -- | 391 | 294 | .628 |
NYG | 41 | 37 | .526 | 7.0 | 370 | 359 | .514 |
CHC | 42 | 39 | .519 | 7.5 | 371 | 393 | .474 |
BRO | 38 | 36 | .514 | 8.0 | 340 | 333 | .510 |
STL | 39 | 37 | .513 | 8.0 | 356 | 328 | .537 |
PIT | 37 | 37 | .500 | 9.0 | 338 | 340 | .497 |
BSN | 37 | 40 | .481 | 10.5 | 311 | 321 | .486 |
PHI | 23 | 49 | .319 | 22.0 | 304 | 413 | .363 |
NN2 Overall Table
Tm |
W |
L |
W-L% |
GB |
RS |
RA |
pythW-L% |
NYC | 0 | 0 | .000 | -- | 0 | 0 | |
NE | 0 | 0 | .000 | -- | 0 | 0 | |
PS | 0 | 0 | .000 | -- | 0 | 0 | |
NBY | 0 | 0 | .000 | -- | 0 | 0 | |
HG | 0 | 0 | .000 | -- | 0 | 0 | |
TC2 | 0 | 0 | .000 | -- | 0 | 0 | |
BEG | 0 | 0 | .000 | -- | 0 | 0 | |
Standings For Games Played After this Date
AL Overall Table
Tm |
W |
L |
W-L% |
GB |
RS |
RA |
pythW-L% |
NYY | 48 | 22 | .686 | -- | 460 | 279 | .714 |
CLE | 47 | 28 | .627 | 3.5 | 415 | 316 | .622 |
DET | 41 | 33 | .554 | 9.0 | 417 | 361 | .566 |
CHW | 42 | 34 | .553 | 9.0 | 358 | 336 | .529 |
BOS | 42 | 36 | .538 | 10.0 | 432 | 413 | .521 |
WSH | 32 | 37 | .464 | 15.5 | 295 | 346 | .428 |
PHA | 24 | 49 | .329 | 25.5 | 319 | 493 | .311 |
SLB | 19 | 56 | .253 | 31.5 | 326 | 478 | .332 |
NAL Overall Table
Tm |
W |
L |
W-L% |
GB |
RS |
RA |
pythW-L% |
CBR | 0 | 0 | .000 | -- | 0 | 0 | |
CAG | 0 | 0 | .000 | -- | 0 | 0 | |
TC | 0 | 0 | .000 | -- | 0 | 0 | |
IAB | 0 | 0 | .000 | -- | 0 | 0 | |
KCM | 0 | 0 | .000 | -- | 0 | 0 | |
MRS | 0 | 0 | .000 | -- | 0 | 0 | |
SL3 | 0 | 0 | .000 | -- | 0 | 0 | |
NL Overall Table
Tm |
W |
L |
W-L% |
GB |
RS |
RA |
pythW-L% |
STL | 53 | 24 | .688 | -- | 423 | 305 | .645 |
CIN | 50 | 28 | .641 | 3.5 | 376 | 301 | .600 |
BRO | 46 | 33 | .582 | 8.0 | 368 | 312 | .575 |
CHC | 42 | 31 | .575 | 9.0 | 353 | 285 | .597 |
NYG | 36 | 37 | .493 | 15.0 | 333 | 326 | .510 |
PIT | 31 | 48 | .392 | 23.0 | 328 | 381 | .432 |
BSN | 26 | 48 | .351 | 25.5 | 261 | 338 | .384 |
PHI | 22 | 57 | .278 | 32.0 | 249 | 443 | .258 |
NN2 Overall Table
Tm |
W |
L |
W-L% |
GB |
RS |
RA |
pythW-L% |
NYC | 0 | 0 | .000 | -- | 0 | 0 | |
PS | 0 | 0 | .000 | -- | 0 | 0 | |
NE | 0 | 0 | .000 | -- | 0 | 0 | |
NBY | 0 | 0 | .000 | -- | 0 | 0 | |
HG | 0 | 0 | .000 | -- | 0 | 0 | |
TC2 | 0 | 0 | .000 | -- | 0 | 0 | |
BEG | 0 | 0 | .000 | -- | 0 | 0 | |
We're Social...for Statheads
Every Sports Reference Social Media Account
Site Last Updated: Friday, April 19, 3:28AM
Question, Comment, Feedback, or Correction?
Subscribe to our Free Email Newsletter
Subscribe to Stathead Baseball: Get your first month FREE
Your All-Access Ticket to the Baseball Reference Database
Do you have a sports website? Or write about sports? We have tools and resources that can help you use sports data. Find out more.