I thought I’d give everyone a little sneak peak at our long overdue leaderboards. The 4 different stat pages for batters and pitchers include pretty much all of the stats in the usual player pages. All the stats are sortable; just click on the stat name and it will sort in ascending order first and then if you click it again, it will sort in descending order.

The leaderboards are not integrated into the regular site navigation yet, but you can access them if you click here.

If you find any problems or errors, please let us know and feedback (bad or good) is always welcome.

After being down 10-1 after the first inning, the Indians pulled off the comeback of the year to win the game 15-13 in extra innings. This is one of the craziest win probability graphs I’ve seen this season.

It even bests the August 9th comeback last season, when the Indians overcame a 5 run deficit by scoring 11 runs in the top of the 9th.

Browsing the player captions in my Sportsline fantasy league, I noticed that they had this to say about Miguel Cabrera:

News: 3B Miguel Cabrera has been Mr. Clutch for the Marlins all season, but he has turned it up in the second half. Cabrera had batted .395 with runners in scoring position since the All-Star break going into Monday, fourth in the NL.

Cabrera is in fact #1 by a long shot for the Marlins with a 3.39 WPA this season. This ranks him 14th in baseball and 7th in the National League. Since the All-Star break he’s wracked up a 1.13 WPA, good for 32nd in baseball during that same time period.

Yet since the All-Star break, part time 1st-baseman and pinch hitter, Wes Helms has a WPA of 0.93, nearly as good as Cabrera, with Josh Willingham not far behind with 0.89. Cabrera and Helms have had consistent positive contributions compared to Willingham, whose main contribution was a 2-run walk off homer against the Mets on August 1st. That single shot was worth 0.70 WPA, nearly all of Willingham’s post All-Star value.

Cabrera’s actual Clutchiness for the season is -0.35, so while he’s certainly been the most valuable Marlin, he’s hardly been contributing above and beyond what a “non-clutch” player would with the same stats. Hanley Ramirez actually leads the Marlins this season with 0.75 Clutchiness, while since the All-Star break, Willingham leads the team with a 0.81 Clutchiness.

Quite a few feature additions just went into production.

-First off, WPA is no longer expressed as a percentage. Every player still has the same value, it’s just 100 times less.

-WPA is now displayed in each player’s game log and all the dates in the game logs are linked back to the correct Win Probability graph.

-There’s a new table for both batters and pitchers in the player stat pages that include the following Win Probability & Leverage stats:

WPA: Win Probability Added.
-WPA: The total of a player’s negative contributions towards their team’s win/loss.
+WPA: The total of a player’s positive contributions towards their team’s win/loss.
pLI: Average Leverage on a plate-appearance basis.
inLI: Average Leverage when a pitcher starts an inning.
gmLI: Average Leverage when a pitcher enters the game.
exLI: Average Leverage when a pitcher exits the game (game ends not included).
Pulls: Number of times a pitcher has been pulled from a game before it ended.
G: The number of games pitched in.
phLI: Average Leverage when pinch-hitting.
PH: Pinch-hitting opportunities.
OBP Wins: Player’s wins in a context-neutral environment.
Clutchiness: Difference between WPA and a Leverage adjusted OBP Wins.

For more information about these stats, take a look at the following links:

-Tangotiger’s Critical Situation Series: Part 1, Part 2, Part 3.
–Clutchiness: The Blog.
–The One About Win Probability.

If you notice any problems, please let us know and we’ll fix them as quickly as possible.

In the past, navigating you’re way through the Win Probability graphs was probably a bit of a pain since you had to go game by game until you got to the correct date. This was finally fixed today with the addition of a calendar where you can easily go directly to the game you’re looking for.

Additionally, the calendar is color coded so you can see which games were won (green) and lost (red) on each particular day they played. This may bring back some painful memories of some of the worst months in recent history like the Tigers’ 3-win April in 2003, or the Orioles 24-loss September back in 2002.

All the best months are in there too, such as the Athletics’ 17 straight wins to finish August in 2002 and the Red Sox’s 21-win August in 2004. Try it out and let us know what you think!

Update: It should be working for mac users now, but the formatting is going to be a bit off in safari until I can figure out what’s causing the issue.

You may have noticed that the Win Probability section has changed slightly. Thanks to our stats provider, Baseball Info Solutions (BIS), we now have 2002-2006 game logs, which we have used to compile the 2002-2006 Win Probability graphs and stats. Note that we were not using any of BIS’s data previously to compile Win Probability stats and you may notice that a few of the values have changed.

The data BIS provides is much more accurate than our previous data source and as a result there should be few-to-no errors. If you do happen to find an error, chances are it will be corrected the next day.

Hopefully there will be quite a few updates in the next week or two which should include:

– Play-by-Play for each game with Win Probability stats.

– Additional leverage statistics for relievers and pinch hitters.

– Win Probability +/- breakouts.

– Season Leaderboards. (FINALLY!)

– All Win Probability and Leverage stats in the regular player stats pages and game logs.

In the meantime, the 2002-2005 Win Probability data looks quite interesting, especially if you’re still debating the 2005 AL MVP race.

I’ve received a few requests to do Win Probability charts for the 2004 Red Sox-Yankees ALCS. Enjoy!

(Click Image for Full Size)

Tonight’s All-Star game was by far the lowest scoring All-Star game in the past 5 years, but it certainly did make for an exciting Win Probability graph thanks to Michael Young’s 2-out, 2-run triple in the top of the ninth. The National League was very close to pulling out a win, but in the end they still remain without a win in the past decade.

In today’s New York Times, Alan Schwarz takes a look at the All-Star selections by Win Probability Added.

“Most back-and-forths about All-Star selections focus on the player’s longtime all-starness (whatever that means) or, toward the statistical end of the spectrum, his runs batted in, his earned run average, even his on-base percentage plus slugging percentage. But if your image of an All-Star is his season-long contribution to victories, then the more blue-collar W.P.A. — Win Probability Added — could make your next All-Star symposium less, well, cheesy.”

As always, you can find the Win Probability sections here:

Win Probability: Individual Game Graphs & Stats
Win Probability: Team Stats

Tonight, Adam Dunn became the 23rd player in Major League history to hit a grand slam in the bottom of the 9th to win the game by one run. This feat has been dubbed an “Ultimate Grand Slam” and is only slightly more common than say, throwing a perfect game. The last player to hit one of these grand slams was Jason Giambi over 4 years ago on May 17th, 2002.

In terms of Win Probability, the Reds pretty much defied all odds to pull out a win for the ages. Dunn’s grand slam was worth about 90 points of Win Probability Added (WPA) giving his former season total of 30% a nice boost.