MLB Scores and Standings Thursday, May 25, 1939
This page is missing Negro League games because we do not have that data at this time. More about data coverage
W |
Bob Feller (7-2) |
L |
Elden Auker (2-2) |
W |
Hugh Mulcahy (3-4) |
L |
Vance Page (2-2) |
S |
Syl Johnson (1) |
W |
Whitey Moore (5-3) |
L |
Carl Hubbell (1-2) |
S |
Gene Thompson (2) |
W |
Red Ruffing (7-0) |
L |
Archie McKain (1-1) |
W |
Tot Pressnell (1-1) |
L |
Bob Klinger (3-5) |
W |
Bob Weiland (3-3) |
L |
Jim Turner (1-5) |
S |
Bob Bowman (2) |
W |
Alex Carrasquel (3-1) |
L |
Roxie Lawson (1-3) |
Standings Up to and Including this Date
AL Overall Table
Tm |
W |
L |
W-L% |
GB |
RS |
RA |
pythW-L% |
NYY | 23 | 6 | .793 | -- | 186 | 92 | .784 |
BOS | 16 | 10 | .615 | 5.5 | 151 | 127 | .579 |
CHW | 17 | 13 | .567 | 6.5 | 140 | 155 | .454 |
CLE | 15 | 14 | .517 | 8.0 | 139 | 135 | .513 |
WSH | 13 | 16 | .448 | 10.0 | 138 | 144 | .481 |
PHA | 11 | 17 | .393 | 11.5 | 118 | 144 | .410 |
DET | 12 | 21 | .364 | 13.0 | 149 | 165 | .453 |
SLB | 11 | 21 | .344 | 13.5 | 170 | 229 | .367 |
NAL Overall Table
Tm |
W |
L |
W-L% |
GB |
RS |
RA |
pythW-L% |
SL3 | 0 | 0 | .000 | -- | 0 | 0 | |
CAG | 0 | 0 | .000 | -- | 0 | 0 | |
CBR | 0 | 0 | .000 | -- | 0 | 0 | |
IAB | 0 | 0 | .000 | -- | 0 | 0 | |
KCM | 0 | 0 | .000 | -- | 0 | 0 | |
MRS | 0 | 0 | .000 | -- | 0 | 0 | |
TC | 0 | 0 | .000 | -- | 0 | 0 | |
NL Overall Table
Tm |
W |
L |
W-L% |
GB |
RS |
RA |
pythW-L% |
STL | 20 | 9 | .690 | -- | 135 | 86 | .695 |
CIN | 21 | 10 | .677 | -- | 169 | 114 | .673 |
CHC | 17 | 15 | .531 | 4.5 | 148 | 165 | .450 |
PIT | 15 | 16 | .484 | 6.0 | 132 | 133 | .497 |
BSN | 14 | 17 | .452 | 7.0 | 118 | 136 | .435 |
BRO | 12 | 17 | .414 | 8.0 | 127 | 137 | .465 |
NYG | 13 | 19 | .406 | 8.5 | 142 | 177 | .401 |
PHI | 11 | 20 | .355 | 10.0 | 136 | 159 | .429 |
NN2 Overall Table
Tm |
W |
L |
W-L% |
GB |
RS |
RA |
pythW-L% |
TC2 | 0 | 0 | .000 | -- | 0 | 0 | |
BEG | 0 | 0 | .000 | -- | 0 | 0 | |
PS | 0 | 0 | .000 | -- | 0 | 0 | |
NYC | 0 | 0 | .000 | -- | 0 | 0 | |
NE | 0 | 0 | .000 | -- | 0 | 0 | |
NBY | 0 | 0 | .000 | -- | 0 | 0 | |
HG | 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 | 83 | 39 | .680 | -- | 781 | 464 | .722 |
BOS | 73 | 52 | .584 | 11.5 | 739 | 668 | .546 |
CLE | 72 | 53 | .576 | 12.5 | 658 | 565 | .569 |
DET | 69 | 52 | .570 | 13.5 | 700 | 597 | .572 |
CHW | 68 | 56 | .548 | 16.0 | 615 | 582 | .525 |
WSH | 52 | 71 | .423 | 31.5 | 564 | 653 | .433 |
PHA | 44 | 80 | .355 | 40.0 | 593 | 878 | .328 |
SLB | 32 | 90 | .262 | 51.0 | 563 | 806 | .342 |
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 | 76 | 47 | .618 | -- | 598 | 481 | .598 |
STL | 72 | 52 | .581 | 4.5 | 644 | 547 | .574 |
BRO | 72 | 52 | .581 | 4.5 | 581 | 508 | .561 |
CHC | 67 | 55 | .549 | 8.5 | 576 | 513 | .553 |
NYG | 64 | 55 | .538 | 10.0 | 561 | 508 | .545 |
PIT | 53 | 69 | .434 | 22.5 | 534 | 588 | .456 |
BSN | 49 | 71 | .408 | 25.5 | 454 | 523 | .436 |
PHI | 34 | 86 | .283 | 40.5 | 417 | 697 | .281 |
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: Thursday, June 6, 4:13AM
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.