MLB Scores and Standings Wednesday, May 04, 1927
This page is missing Negro League games because we do not have that data at this time. More about data coverage
W |
Tony Kaufmann (1-1) |
L |
Pete Donohue (1-4) |
S |
Charlie Root (1) |
W |
Ted Blankenship (3-2) |
L |
Sam Gibson (1-4) |
S |
Sarge Connally (2) |
W |
Mul Holland (1-0) |
L |
Rube Ehrhardt (0-2) |
W |
Jesse Haines (5-0) |
L |
Mike Cvengros (0-1) |
W |
Milt Gaston (2-1) |
L |
Emil Levsen (1-3) |
W |
Hollis Thurston (3-2) |
L |
Dutch Ruether (3-1) |
S |
Garland Braxton (2) |
Standings Up to and Including this Date
AL Overall Table
Tm |
W |
L |
W-L% |
GB |
RS |
RA |
pythW-L% |
NYY | 12 | 6 | .667 | -- | 126 | 77 | .711 |
PHA | 11 | 6 | .647 | 0.5 | 113 | 106 | .529 |
CHW | 12 | 8 | .600 | 1.0 | 103 | 69 | .675 |
DET | 8 | 8 | .500 | 3.0 | 80 | 80 | .500 |
WSH | 9 | 9 | .500 | 3.0 | 95 | 93 | .510 |
SLB | 8 | 8 | .500 | 3.0 | 83 | 87 | .478 |
CLE | 8 | 12 | .400 | 5.0 | 73 | 103 | .348 |
BOS | 3 | 14 | .176 | 8.5 | 46 | 104 | .183 |
ECL Overall Table
Tm |
W |
L |
W-L% |
GB |
RS |
RA |
pythW-L% |
AC | 0 | 0 | .000 | -- | 0 | 0 | |
BRG | 0 | 0 | .000 | -- | 0 | 0 | |
NLG | 0 | 0 | .000 | -- | 0 | 0 | |
HIL | 0 | 0 | .000 | -- | 0 | 0 | |
HBG | 0 | 0 | .000 | -- | 0 | 0 | |
BBS | 0 | 0 | .000 | -- | 0 | 0 | |
CSE | 0 | 0 | .000 | -- | 0 | 0 | |
NL Overall Table
Tm |
W |
L |
W-L% |
GB |
RS |
RA |
pythW-L% |
STL | 11 | 6 | .647 | -- | 89 | 62 | .660 |
NYG | 12 | 7 | .632 | -- | 127 | 102 | .599 |
PIT | 10 | 7 | .588 | 1.0 | 86 | 80 | .533 |
PHI | 8 | 7 | .533 | 2.0 | 69 | 69 | .500 |
CHC | 9 | 8 | .529 | 2.0 | 87 | 86 | .505 |
BSN | 9 | 9 | .500 | 2.5 | 95 | 97 | .490 |
BRO | 7 | 13 | .350 | 5.5 | 65 | 88 | .365 |
CIN | 5 | 14 | .263 | 7.0 | 78 | 112 | .340 |
NNL Overall Table
Tm |
W |
L |
W-L% |
GB |
RS |
RA |
pythW-L% |
SLS | 0 | 0 | .000 | -- | 0 | 0 | |
BBB | 0 | 0 | .000 | -- | 0 | 0 | |
MRS | 0 | 0 | .000 | -- | 0 | 0 | |
KCM | 0 | 0 | .000 | -- | 0 | 0 | |
DS | 0 | 0 | .000 | -- | 0 | 0 | |
CSW | 0 | 0 | .000 | -- | 0 | 0 | |
CHT | 0 | 0 | .000 | -- | 0 | 0 | |
CAG | 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 | 98 | 38 | .721 | -- | 849 | 522 | .709 |
PHA | 80 | 57 | .584 | 18.5 | 728 | 620 | .573 |
WSH | 76 | 60 | .559 | 22.0 | 687 | 637 | .535 |
DET | 74 | 63 | .540 | 24.5 | 765 | 725 | .525 |
CHW | 58 | 75 | .436 | 38.5 | 559 | 639 | .439 |
CLE | 58 | 75 | .436 | 38.5 | 595 | 663 | .451 |
SLB | 51 | 86 | .372 | 47.5 | 641 | 817 | .391 |
BOS | 48 | 89 | .350 | 50.5 | 551 | 752 | .361 |
ECL Overall Table
Tm |
W |
L |
W-L% |
GB |
RS |
RA |
pythW-L% |
NLG | 0 | 0 | .000 | -- | 0 | 0 | |
HIL | 0 | 0 | .000 | -- | 0 | 0 | |
HBG | 0 | 0 | .000 | -- | 0 | 0 | |
AC | 0 | 0 | .000 | -- | 0 | 0 | |
BBS | 0 | 0 | .000 | -- | 0 | 0 | |
CSE | 0 | 0 | .000 | -- | 0 | 0 | |
BRG | 0 | 0 | .000 | -- | 0 | 0 | |
NL Overall Table
Tm |
W |
L |
W-L% |
GB |
RS |
RA |
pythW-L% |
PIT | 84 | 53 | .613 | -- | 731 | 579 | .605 |
STL | 81 | 55 | .596 | 2.5 | 665 | 603 | .545 |
NYG | 80 | 55 | .593 | 3.0 | 690 | 618 | .550 |
CHC | 76 | 60 | .559 | 7.5 | 663 | 575 | .565 |
CIN | 70 | 64 | .522 | 12.5 | 565 | 541 | .520 |
BRO | 58 | 75 | .436 | 24.0 | 476 | 531 | .450 |
BSN | 51 | 85 | .375 | 32.5 | 556 | 674 | .413 |
PHI | 43 | 96 | .309 | 42.0 | 609 | 834 | .360 |
NNL Overall Table
Tm |
W |
L |
W-L% |
GB |
RS |
RA |
pythW-L% |
MRS | 0 | 0 | .000 | -- | 0 | 0 | |
KCM | 0 | 0 | .000 | -- | 0 | 0 | |
DS | 0 | 0 | .000 | -- | 0 | 0 | |
CSW | 0 | 0 | .000 | -- | 0 | 0 | |
CHT | 0 | 0 | .000 | -- | 0 | 0 | |
SLS | 0 | 0 | .000 | -- | 0 | 0 | |
BBB | 0 | 0 | .000 | -- | 0 | 0 | |
CAG | 0 | 0 | .000 | -- | 0 | 0 | |
We're Social...for Statheads
Every Sports Reference Social Media Account
Site Last Updated: Saturday, June 15, 4:09AM
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.