MLB Scores and Standings Tuesday, May 28, 1946
This page is missing Negro League games because we do not have that data at this time. More about data coverage
W |
Dave Koslo (4-3) |
L |
Joe Hatten (2-3) |
W |
Ted Wilks (1-0) |
L |
Claude Passeau (3-2) |
W |
Fred Hutchinson (2-1) |
L |
Red Embree (4-3) |
W |
Dutch Leonard (5-0) |
L |
Cuddles Marshall (1-1) |
W |
Ed Bahr (2-0) |
L |
Ed Heusser (4-2) |
S |
Nick Strincevich (1) |
W |
Orval Grove (2-2) |
L |
Stan Ferens (0-4) |
Standings Up to and Including this Date
AL Overall Table
Tm |
W |
L |
W-L% |
GB |
RS |
RA |
pythW-L% |
BOS | 29 | 9 | .763 | -- | 214 | 140 | .685 |
NYY | 23 | 16 | .590 | 6.5 | 164 | 127 | .615 |
WSH | 20 | 14 | .588 | 7.0 | 168 | 137 | .592 |
DET | 20 | 18 | .526 | 9.0 | 128 | 146 | .440 |
CLE | 16 | 21 | .432 | 12.5 | 114 | 155 | .363 |
SLB | 16 | 22 | .421 | 13.0 | 153 | 181 | .424 |
CHW | 14 | 20 | .412 | 13.0 | 121 | 135 | .450 |
PHA | 9 | 27 | .250 | 19.0 | 124 | 165 | .372 |
NAL Overall Table
Tm |
W |
L |
W-L% |
GB |
RS |
RA |
pythW-L% |
KCM | 0 | 0 | .000 | -- | 0 | 0 | |
MRS | 0 | 0 | .000 | -- | 0 | 0 | |
BBB | 0 | 0 | .000 | -- | 0 | 0 | |
IC | 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% |
BRO | 23 | 11 | .676 | -- | 188 | 127 | .672 |
STL | 21 | 13 | .618 | 2.0 | 146 | 118 | .596 |
CIN | 15 | 15 | .500 | 6.0 | 117 | 104 | .554 |
CHC | 16 | 16 | .500 | 6.0 | 139 | 131 | .527 |
NYG | 17 | 18 | .486 | 6.5 | 148 | 154 | .482 |
BSN | 16 | 17 | .485 | 6.5 | 140 | 147 | .478 |
PIT | 14 | 16 | .467 | 7.0 | 99 | 127 | .388 |
PHI | 8 | 24 | .250 | 14.0 | 112 | 181 | .294 |
NN2 Overall Table
Tm |
W |
L |
W-L% |
GB |
RS |
RA |
pythW-L% |
HG | 0 | 0 | .000 | -- | 0 | 0 | |
NBY | 0 | 0 | .000 | -- | 0 | 0 | |
NYC | 0 | 0 | .000 | -- | 0 | 0 | |
PS | 0 | 0 | .000 | -- | 0 | 0 | |
BEG | 0 | 0 | .000 | -- | 0 | 0 | |
NE | 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% |
BOS | 75 | 41 | .647 | -- | 578 | 454 | .609 |
DET | 72 | 44 | .621 | 3.0 | 576 | 421 | .640 |
NYY | 64 | 51 | .557 | 10.5 | 520 | 420 | .596 |
CHW | 60 | 60 | .500 | 17.0 | 441 | 460 | .481 |
WSH | 56 | 64 | .467 | 21.0 | 440 | 569 | .384 |
CLE | 52 | 65 | .444 | 23.5 | 423 | 483 | .440 |
SLB | 50 | 66 | .431 | 25.0 | 468 | 529 | .444 |
PHA | 40 | 78 | .339 | 36.0 | 405 | 515 | .392 |
NAL Overall Table
Tm |
W |
L |
W-L% |
GB |
RS |
RA |
pythW-L% |
KCM | 0 | 0 | .000 | -- | 0 | 0 | |
MRS | 0 | 0 | .000 | -- | 0 | 0 | |
BBB | 0 | 0 | .000 | -- | 0 | 0 | |
IC | 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 | 77 | 45 | .631 | -- | 566 | 427 | .626 |
BRO | 73 | 49 | .598 | 4.0 | 513 | 443 | .567 |
CHC | 66 | 55 | .545 | 10.5 | 487 | 450 | .536 |
BSN | 65 | 55 | .542 | 11.0 | 490 | 445 | .544 |
PHI | 61 | 61 | .500 | 16.0 | 448 | 524 | .429 |
CIN | 52 | 72 | .419 | 26.0 | 406 | 466 | .437 |
PIT | 49 | 75 | .395 | 29.0 | 453 | 541 | .419 |
NYG | 44 | 75 | .370 | 31.5 | 464 | 531 | .439 |
NN2 Overall Table
Tm |
W |
L |
W-L% |
GB |
RS |
RA |
pythW-L% |
HG | 0 | 0 | .000 | -- | 0 | 0 | |
NBY | 0 | 0 | .000 | -- | 0 | 0 | |
NYC | 0 | 0 | .000 | -- | 0 | 0 | |
PS | 0 | 0 | .000 | -- | 0 | 0 | |
BEG | 0 | 0 | .000 | -- | 0 | 0 | |
NE | 0 | 0 | .000 | -- | 0 | 0 | |
We're Social...for Statheads
Every Sports Reference Social Media Account
Site Last Updated: Monday, June 10, 1:51AM
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.