
Email me at btimmermann@gmail.com
American League:
#1 Los Angeles (West) vs. #4 Boston (Wild Card)
#3 Chicago (Central) vs #2 Tampa Bay (East)
National League:
#2 Philadelphia (East) vs. #4 Milwaukee (Wild Card)
#1 Chicago (Central) vs. #3 Arizona (West)
| Rank | Team | W | L | PCT | Division | 1 | Chicago Cubs | 69 | 46 | .6 | C1 | 2 | Philadelphia | 62 | 51 | .549 | E1 | 3 | Arizona | 59 | 55 | .518 | W1 | 4 | Milwaukee | 64 | 51 | .557 | C2 | 5 | St. Louis | 64 | 52 | .552 | C3 | 6 | Florida | 60 | 54 | .526 | E2 | 7 | New York Mets | 59 | 54 | .522 | E3 | 8 | Los Angeles Dodgers | 56 | 57 | .496 | W2 | 9 | Houston | 54 | 59 | .478 | C4 | 10T | Pittsburgh | 52 | 62 | .456 | C5 | 10T | Atlanta | 52 | 62 | .456 | E4 | 12T | Colorado | 52 | 63 | .452 | W3 | 12T | Cincinnati | 52 | 63 | .452 | C6 | 14 | San Francisco | 48 | 65 | .425 | W4 | 15 | San Diego | 44 | 70 | .386 | W5 | 16 | Washington | 42 | 71 | .372 | E5 |
| Rank | Team | W | L | PCT | Division |
| 1 | Los Angeles Angels | 71 | 43 | .623 | W1 | 2 | Tampa Bay | 68 | 45 | .602 | E1 | 3 | Chicago White Sox | 63 | 49 | .563 | C1 | 4 | Boston | 66 | 49 | .574 | E2 | 5 | Minnesota | 63 | 51 | .553 | C2 | 6 | New York Yankees | 62 | 52 | .544 | E3 | 7 | Texas | 60 | 55 | .522 | W2 | 8 | Toronto | 58 | 56 | .509 | E4 | 9 | Detroit | 55 | 58 | .487 | C3 | 10 | Baltimore | 54 | 59 | .478 | E5 | 11 | Oakland | 53 | 60 | .469 | W3 | 12 | Kansas City | 53 | 62 | .461 | C4 | 13 | Cleveland | 49 | 64 | .434 | C5 | 14 | Seattle | 44 | 70 | .386 | W4 |
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If a player needs a home run for the cycle, the level of the alert varies depending upon the determination of the Cycle Detection Warning System, which is headquartered in Thief River Falls, Minnesota.
Baseball Toaster runs on some experimental software called Fairpole. It's still under development.
For more information, please visit the Fairpole blog, or read the FAQ.
Alan Schwarz in the New York Times writes about David Neft's "on base advantage", a measurement where a walk is valued by subtracting a player's slugging percentage from 1.
However jarring to those riding the modern walk bandwagon, Neft's refinement makes perfect sense. From the pitcher's standpoint, a batter expected to slug 1.000, on average, should always be walked because his average hit is more damaging than a walk.
Meanwhile, walking a player with a .000 slugging percentage is grounds for an early shower, because he is no threat in the first place. The higher the slugging percentage, the less costly the walk.
Walking a player with a .000 slugging percentage is sometimes referred to by those of us on the West Coast as "The Grabowski Principle." You can get something of an explanation of it here.
The best way to do this is look at runs scored on average when a player like Pujols walks or doesn't walk. I'm guessing the walk category will win out.
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