MLB Scores and Standings Wednesday, September 29, 1943
This page is missing Negro League games because we do not have that data at this time. More about data coverage
W |
Nels Potter (10-5) |
L |
Tex Hughson (12-15) |
W |
Johnny Vander Meer (14-16) |
L |
Ken Raffensberger (0-1) |
W |
Bill Dietrich (11-10) |
L |
Marius Russo (5-10) |
W |
Charles Wensloff (13-11) |
L |
Jake Wade (3-7) |
W |
Jesse Flores (12-14) |
L |
Rufe Gentry (1-3) |
W |
Dizzy Trout (19-12) |
L |
Don Black (6-16) |
W |
Fritz Ostermueller (1-3) |
L |
Xavier Rescigno (6-9) |
W |
Al Brazle (8-2) |
L |
Jim Tobin (14-14) |
W |
Johnny Niggeling (10-10) |
L |
Vern Kennedy (10-7) |
W |
Early Wynn (18-12) |
L |
Jim Bagby (17-14) |
S |
Milo Candini (1) |
Standings Up to and Including this Date
AL Overall Table
Tm |
W |
L |
W-L% |
GB |
RS |
RA |
pythW-L% |
NYY | 95 | 55 | .633 | -- | 649 | 525 | .596 |
WSH | 84 | 67 | .556 | 11.5 | 660 | 579 | .560 |
CLE | 79 | 71 | .527 | 16.0 | 578 | 568 | .508 |
CHW | 79 | 72 | .523 | 16.5 | 558 | 588 | .476 |
DET | 75 | 76 | .497 | 20.5 | 610 | 554 | .544 |
SLB | 72 | 77 | .483 | 22.5 | 587 | 587 | .500 |
BOS | 68 | 82 | .453 | 27.0 | 560 | 600 | .468 |
PHA | 49 | 101 | .327 | 46.0 | 488 | 689 | .347 |
NAL Overall Table
Tm |
W |
L |
W-L% |
GB |
RS |
RA |
pythW-L% |
BBB | 0 | 0 | .000 | -- | 0 | 0 | |
MRS | 0 | 0 | .000 | -- | 0 | 0 | |
KCM | 0 | 0 | .000 | -- | 0 | 0 | |
CC | 0 | 0 | .000 | -- | 0 | 0 | |
CBE | 0 | 0 | .000 | -- | 0 | 0 | |
CAG | 0 | 0 | .000 | -- | 0 | 0 | |
NL Overall Table
Tm |
W |
L |
W-L% |
GB |
RS |
RA |
pythW-L% |
STL | 101 | 49 | .673 | -- | 660 | 467 | .653 |
CIN | 85 | 65 | .567 | 16.0 | 596 | 536 | .548 |
BRO | 79 | 70 | .530 | 21.5 | 709 | 663 | .531 |
PIT | 80 | 72 | .526 | 22.0 | 665 | 591 | .554 |
CHC | 71 | 77 | .480 | 29.0 | 615 | 587 | .521 |
BSN | 66 | 82 | .446 | 34.0 | 453 | 595 | .378 |
PHI | 62 | 90 | .408 | 40.0 | 557 | 672 | .415 |
NYG | 55 | 94 | .369 | 45.5 | 550 | 694 | .395 |
NN2 Overall Table
Tm |
W |
L |
W-L% |
GB |
RS |
RA |
pythW-L% |
PS | 0 | 0 | .000 | -- | 0 | 0 | |
BEG | 0 | 0 | .000 | -- | 0 | 0 | |
NYC | 0 | 0 | .000 | -- | 0 | 0 | |
NE | 0 | 0 | .000 | -- | 0 | 0 | |
NBY | 0 | 0 | .000 | -- | 0 | 0 | |
HAR | 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% |
DET | 3 | 0 | 1.000 | -- | 22 | 6 | .915 |
CHW | 3 | 0 | 1.000 | -- | 15 | 6 | .842 |
CLE | 3 | 0 | 1.000 | -- | 22 | 9 | .837 |
NYY | 3 | 1 | .750 | 0.5 | 20 | 17 | .574 |
BOS | 0 | 2 | .000 | 2.5 | 3 | 7 | .175 |
WSH | 0 | 2 | .000 | 2.5 | 6 | 16 | .142 |
SLB | 0 | 3 | .000 | 3.0 | 9 | 17 | .238 |
PHA | 0 | 4 | .000 | 3.5 | 9 | 28 | .111 |
NAL Overall Table
Tm |
W |
L |
W-L% |
GB |
RS |
RA |
pythW-L% |
BBB | 0 | 0 | .000 | -- | 0 | 0 | |
MRS | 0 | 0 | .000 | -- | 0 | 0 | |
KCM | 0 | 0 | .000 | -- | 0 | 0 | |
CC | 0 | 0 | .000 | -- | 0 | 0 | |
CBE | 0 | 0 | .000 | -- | 0 | 0 | |
CAG | 0 | 0 | .000 | -- | 0 | 0 | |
NL Overall Table
Tm |
W |
L |
W-L% |
GB |
RS |
RA |
pythW-L% |
STL | 4 | 0 | 1.000 | -- | 19 | 8 | .830 |
PHI | 2 | 0 | 1.000 | 1.0 | 14 | 4 | .908 |
CHC | 3 | 2 | .600 | 1.5 | 17 | 12 | .654 |
CIN | 2 | 2 | .500 | 2.0 | 12 | 7 | .728 |
BRO | 2 | 2 | .500 | 2.0 | 7 | 12 | .272 |
BSN | 2 | 3 | .400 | 2.5 | 12 | 17 | .346 |
PIT | 0 | 2 | .000 | 3.0 | 4 | 14 | .092 |
NYG | 0 | 4 | .000 | 4.0 | 8 | 19 | .170 |
NN2 Overall Table
Tm |
W |
L |
W-L% |
GB |
RS |
RA |
pythW-L% |
PS | 0 | 0 | .000 | -- | 0 | 0 | |
BEG | 0 | 0 | .000 | -- | 0 | 0 | |
NYC | 0 | 0 | .000 | -- | 0 | 0 | |
NE | 0 | 0 | .000 | -- | 0 | 0 | |
NBY | 0 | 0 | .000 | -- | 0 | 0 | |
HAR | 0 | 0 | .000 | -- | 0 | 0 | |
HG | 0 | 0 | .000 | -- | 0 | 0 | |
We're Social...for Statheads
Every Sports Reference Social Media Account
Site Last Updated: Tuesday, April 23, 3:08AM
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.