MLB Scores and Standings Thursday, May 26, 1927
This page is missing Negro League games because we do not have that data at this time. More about data coverage
W |
Lefty Grove (4-5) |
L |
Hal Wiltse (4-4) |
W |
Tony Welzer (2-2) |
L |
Sam Gray (2-3) |
W |
Charlie Root (7-3) |
L |
Eppa Rixey (0-5) |
W |
Red Faber (2-2) |
L |
Earl Whitehill (4-3) |
W |
Vic Aldridge (3-2) |
L |
Jesse Haines (7-2) |
W |
Lefty Stewart (2-1) |
L |
Jake Miller (0-1) |
W |
Joe Shaute (2-3) |
L |
Milt Gaston (3-4) |
Standings Up to and Including this Date
AL Overall Table
Tm |
W |
L |
W-L% |
GB |
RS |
RA |
pythW-L% |
NYY | 22 | 11 | .667 | -- | 197 | 117 | .722 |
CHW | 23 | 15 | .605 | 1.5 | 168 | 143 | .573 |
PHA | 18 | 17 | .514 | 5.0 | 205 | 206 | .498 |
WSH | 15 | 15 | .500 | 5.5 | 163 | 147 | .547 |
SLB | 17 | 18 | .486 | 6.0 | 197 | 196 | .502 |
CLE | 17 | 20 | .459 | 7.0 | 152 | 191 | .397 |
DET | 15 | 19 | .441 | 7.5 | 168 | 189 | .446 |
BOS | 10 | 22 | .313 | 11.5 | 115 | 176 | .315 |
ECL Overall Table
Tm |
W |
L |
W-L% |
GB |
RS |
RA |
pythW-L% |
BBS | 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 | |
AC | 0 | 0 | .000 | -- | 0 | 0 | |
CSE | 0 | 0 | .000 | -- | 0 | 0 | |
NL Overall Table
Tm |
W |
L |
W-L% |
GB |
RS |
RA |
pythW-L% |
PIT | 21 | 11 | .656 | -- | 185 | 142 | .619 |
CHC | 20 | 13 | .606 | 1.5 | 180 | 154 | .571 |
NYG | 19 | 13 | .594 | 2.0 | 180 | 167 | .534 |
STL | 18 | 14 | .563 | 3.0 | 145 | 127 | .560 |
PHI | 15 | 15 | .500 | 5.0 | 146 | 141 | .516 |
BSN | 10 | 16 | .385 | 8.0 | 135 | 146 | .464 |
BRO | 15 | 22 | .405 | 8.5 | 152 | 177 | .431 |
CIN | 11 | 25 | .306 | 12.0 | 143 | 212 | .327 |
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 | 88 | 33 | .727 | -- | 778 | 482 | .706 |
PHA | 73 | 46 | .613 | 14.0 | 636 | 520 | .591 |
WSH | 70 | 54 | .565 | 19.5 | 619 | 583 | .527 |
DET | 67 | 52 | .563 | 20.0 | 677 | 616 | .543 |
CLE | 49 | 67 | .422 | 36.5 | 516 | 575 | .451 |
CHW | 47 | 68 | .409 | 38.0 | 494 | 565 | .439 |
SLB | 42 | 76 | .356 | 44.5 | 527 | 708 | .368 |
BOS | 41 | 81 | .336 | 47.5 | 482 | 680 | .348 |
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% |
STL | 74 | 47 | .612 | -- | 609 | 538 | .556 |
PIT | 73 | 49 | .598 | 1.5 | 632 | 517 | .591 |
NYG | 73 | 49 | .598 | 1.5 | 637 | 553 | .564 |
CIN | 64 | 53 | .547 | 8.0 | 500 | 441 | .557 |
CHC | 65 | 55 | .542 | 8.5 | 570 | 507 | .553 |
BRO | 50 | 66 | .431 | 21.5 | 389 | 442 | .442 |
BSN | 50 | 78 | .391 | 27.5 | 516 | 625 | .413 |
PHI | 36 | 88 | .290 | 39.5 | 532 | 762 | .341 |
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: Monday, May 13, 12:42AM
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.