There’s an interesting thread going on over at Sons of Sam Horn that eventually delved into Manny Ramirez’s clutch hitting abilities.

There’s currently a stat displayed on FanGraphs called “Clutch”. This Tangotiger invention is the difference between a player’s Win Probability Added and his OPS Wins once it has been Leverage adjusted. Simply put, it’s how well a player did in his actual environment (which includes close and late and runner on base situations) and how he would do in a context neutral environment.

So if we look at Manny Ramirez, he had a -1.36 Clutch last season, and over the past 5 years he has a -4.80 Clutch. His -1.36 last season was among the worst when looking at qualified batters. Needless to say, Clutch suggests he’s anything but a clutch batter.

To further reinforce the point let’s look at his high/medium/low leverage splits. A 1.70 or greater Leverage Index I considered “High” and a Leverage Index lower than .75 I considered “Low”. Anything in between was “Medium”

LI Level     OBP   SLG    OPS
High        .439  .536   .975
Medium      .449  .623  1.072
Low         .426  .649  1.075

The more important the situation, the worse Manny Ramirez does. His on base percentage stays pretty similar, but his slugging percentage takes a rather large hit as the situation becomes more important.

All in all, the numbers in any situation are pretty damn good, but he certainly didn’t elevate his game when the game was on the line.

Sometimes I find it fun to look at which players are being looked at the most on FanGraphs. To me, it’s a bit of a “buzz” meter for certain players. Obviously people are looking at players they’re interested in, and some of it is probably how visible certain players are on FanGraphs. There’s nothing scientific about this, but I thought FanGraphs visitors might enjoy seeing who their fellow visitors are most interested in. Here are the “results” for this past week (3/12 – 3/18).

1. Albert Pujols – This isn’t a huge surprise to me. He’s at the top of pretty much every lits and is incredibly visible on FanGraphs as a whole. Apparently everyone wants to see just how great he is!

2. Johan Santana – Also not much of a surprise. He’s the best, hands down.

3. Corey Hart – The Brewers’ Outfielder is having a strong spring, but #3? Maybe we have a disproportionate number of Brewers fans visiting the site, or perhaps people are just checking out his projections for their fantasy baseball drafts.

4. Adam Dunn – His extremely high strikeout totals and equally high walk totals make Dunn a constant topic for debate. Not to mention, his power seemed to disappear last season. His stats are always worth some extra scrutiny.

5. Ian Kinsler – Not quite as much as a surprise as Hart since this player is on most fantasy baseball managers’ radar.

6. Manny Ramirez – He’s constantly in the news. I don’t have anything else to add.

7. David Ortiz – His Win Probability numbers are always worth a look. He’s had two, rather astounding, back to back seasons and no MVP to show for it.

8. Derek Jeter – As popular a player as any and another player where it’s especially fun to look at his Win Probability numbers considering his “clutch” reputation. He didn’t live it down… last year.

9. Barry Bonds – Something would be wrong if he wasn’t in the top 10.

10. Ryan Howard – And in the 10-spot, the reigning NL-MVP. Everyone must be wondering if he can repeat his 58 home run season.

If people are interested, this could become a weekly feature, with maybe the top 10 and “movers and shakers”.

Tangotiger is conducting his 2007 community projections:

“I’ve seen the results of six forecasting systems this year. (I’m sure some of you have seen more than that.) And all were based on some algorithm with little leeway for human interaction. Why is that? Because we can’t trust any single person’s opinion. But, what if we can get a consensus, a Wisdom of Crowds? Who knows more about whether Papelbon will be a starter or reliever this year: an algorithm or a Redsox fan? Who knows more about the number of games a 2006-injured Hideki Matsui will play in 2007: an algorithm or a Yankees fan? There are certain human observation elements that are critical for forecasting. That’s where you can come in, and why you are here.”

When you have a free moment, head over there and fill in the OPS and ERA projections for your favorite team!

All anyone can seem to talk about today is how the 103 million dollar pitcher, Daisuke Matsuzaka, was “bombed” yesterday in a spring training start. He gave up 2 home runs, to two “non-roster” players, and ended up surrendering 4 runs (3 earned) in 4 innings, which raised his ERA from 0 to 3.86. He also struck out 3 and walked none.

What about the highly paid pitchers not named Matsuzaka? Surely some of them had an equally atrocious day. Here were the highlights from Sunday’s action:

– Brad Penny ($8.5 Million): He gave up 9 hits and 4 runs yesterday in only 3 innings. He also struck out none and has a 12.86 ERA this spring.

– B.J. Ryan ($9.4 Million): 1 inning, 4 hits, 3 runs, 1 strikeout.

– Freddy Garcia ($9 Million): 3 innings, 5 hits, 3 runs, and 2 walks. He didn’t strike anyone out.

– Mark Buehrle ($9.5 Million): 4 innings, 6 hits, 6 runs, 2 walks, and 4 strikeouts. His ERA stands at 11 this spring. It’s only 1.5 higher than he makes in millions.

And that was only yesterday. On Saturday:

– Barry Zito ($18 Million): 4 innings, 5 hits, 3 runs, 2 walks and 4 strikeouts.

Everyone panic!

We’ve just added play-by-play data in the Play Log section for each game. At this time, play-by-play data includes the Leverage Index, Run Expectancy, Home Team Win Expectancy, and the Batter’s Win Probability Added (WPA) for each and every play of the 2002-2006 season.

Win Expectancy is calculated as the result of the play, while Leverage Index and Run Expectancy are calculated before the play happened.

Everything is calculated before the play happened. We’ve also added BRAA which is the difference between Run Expectancy at the start of the play and the end of the play.

If you click on the play, you’ll get the pitch sequence for each play in a little pop-up box. The playoff games pitch sequence is a little screwed up right now. It “snakes” around, so for the first line it will be “pitch1, pitch2, pitch3, result” and then for the next line “result, pitch3, pitch2, pitch1”. We’ll try to get this cleared up soon.

We’ve also moved all the Win Probability graphs out of the Team section and into the Scoreboard section. We’re just trying to make things a little more organized and it will allow us to eventually vastly enhance our team stats.

If you have any problems or suggestions on how to improve the new scoreboard or play-by-play sections, don’t hesitate to let us know!

Thought I’d show a quick preview of our new scoreboard. This way you’ll be able to quickly see all the day’s graphs in one convenient place.

You’ll also notice that the box score and play log links aren’t quite working yet. I’m hoping they will be sometime next week.

Earlier this week the much anticipated Hardball Times 2007 Season Preview was released, and with it a brand new projection system. I recently took a look at Bill James, CHONE, ZiPS, and the Marcel projection systems to see how they differed. Let’s throw THT into the mix and see where it has its major differences.

First off, let’s see how THT fares against the other projection systems in OPS and ERA as a whole when compared to the Marcel projection system (the simplest of the five).

System        ERA-R^2    OPS-R^2
ZiPS             .725       .908
Bill James       .714       .875
CHONE            .699       .865
THT              .681       .837

And in English, when comparing the other projection systems to the Marcel projection system, THT’s system is the least similar. (When look at batters with 300+ at-bats and pitchers with 100+ innings.)

So which batters does THT disagree on the most in terms of OPS?

Name            Bill James    CHONE   Marcel     THT    ZiPS
Frank Thomas          .939     .853     .874    .982    .892
Hanley Ramirez        .801     .791     .843    .714    .777
Robinson Cano         .860     .842     .852    .766    .836
Chris Duncan          .862     .776     .891    .753    .803
Melky Cabrera         .766     .796     .787    .715    .800

Except for Frank Thomas, who THT projects is going to have a phenomenal season, they’re the low point for the other four players. It’s interesting to note that those four are also first or second year major league players. There’s generally a lot of disagreement about Chris Duncan and Hanley Ramirez, but the THT projections for Robinson Cano and Melky Cabrera appear to be the sole point of difference. Let’s look at the pitchers:

Name            Bill James    CHONE   Marcel     THT    ZiPS
Tony Armas Jr.        4.85     4.64     4.96    5.81    4.88
Carlos Zambrano       3.40     3.47     3.48    2.77    3.46
Cliff Lee             4.43     4.20     4.48    5.04    4.55
James Shields         4.03     4.29     4.72    5.03    4.70
Brandon Webb          3.53     3.60     3.65    3.07    3.85
Randy Johnson         4.31     3.77     4.33    3.43    3.63

THT clearly hates Tony Armas Jr. (more) with his ERA about a point higher than the others, while they love Carlos Zambrano who they have at about a .75 lower ERA than the other systems. I threw in Randy Johnson since he was next on the list. It looks like the projections are pretty well divided for him between the 4.30-ish ERA, and the 3.50-ish ERA.

Anyway, the THT projections are certainly similar to the others, but there are clearly a number of key differences which are definitely worth a look. There’s also a lot more to projections than ERA and OPS, so I’m sure you’ll find many other unique aspects to THT’s projection system. Like with any projection system, we’ll have to wait and see which one happens to be the most accurate for 2007.

I thought I’d mention that the Bill James Handbook projections on FanGraphs have been updated with the latest and greatest.

“… many things happen during the offseason that change playing time for the coming season. That’s why we produce The Bill James Handbook: Projections Update with cutting-edge projections reflecting changes through the last couple days of February.

We adjust projections for many reasons, including:

-Playing time adjustments
-Free agent signings (including four Japanese rookies)
-Trades
-Injuries
-Ballpark changes”

I think FanGraphs has three of the four rookies in the database now with the exception of Daisuke Matsuzaka. He’ll show up next time he makes a spring training start. For those who can’t wait, the Bill James Handbook has him at 19-2 with a 3.13 ERA in 190 innings.

As always, if you’d like to dice, slice, and sort the Bill James Handbook projections to your heart’s content, you’ll have to purchase them here.

While we’re on the topic of projections, I’d like to give a quick shout-out to the new Hardball Times 2007 Season Preview. Besides the great commentary on teams from many of your favorite bloggers, it has player projections through 2009. I’m still digging in, but it’s full of fun and useful stuff.

You may have noticed the Win Probability numbers have changed slightly. Don’t panic! There have been a few changes, for the better.

First off, we’re now using Tangotiger’s updated win expectancy tables which are no longer a flat 5.0 Runs per Game environment. Instead, we’re using the home team’s league, average run environment. This now puts batters and pitchers on “equal footing” and you should now be able to accurately compare batters and pitchers using WPA.

Second of all, we’re also using Tangotiger’s run expectancy tables to calculate Batting Runs Above Average (BRAA) for both batters and pitchers. Once again the run environment is set at the home team’s league, average run environment.

Next to BRAA there is a column titled “REW”, which stands for Run Expectancy Wins. This is a replacement for OPS Wins because we no longer need to estimate wins in a context neutral environment since we’re now using run expectancy.

Finally, Clutchiness has been shortened to Clutch (Clutchiness was excessively long) and is calculated as WPA/LI – REW.

Update (3/4/2007): Clutch has been switched back to being calculated with OPS Wins. More on this later.

Typically players remain in the same order, but their values have changed slightly. Batters should be slightly more valuable and pitchers slightly less valuable based on WPA scores.

I’ll admit, I’m a Heath Bell protagonist. Last year I expected big things from the 28 year old reliever who ended up posting a 5.11 ERA in just 22 relief appearances. He didn’t quite live up to my lofty expectations:

“Don’t be surprised if he becomes an important piece of the Mets bullpen next season.”

Well Heath, it’s a new year and you have a brand new team (Padres) with new fans to impress. Let’s see where things went wrong last year and if they’re going to happen again this year.

He has pretty much everything you’re looking for in a relief pitcher: high strikeout rate, low walk rate, and he’s even a ground ball pitcher. He’s clearly mastered Triple-A where in 2006 his K/9 was over 14! Not to mention he posted an ERA of 1.29 in 35 innings.

Yet what plagues him in the majors has been his extraordinarily high batting average on balls in play (BABIP). The past two years his BABIP has been .374 in 2005 and an insanely high .394 in 2006, which just happened to be the highest in the majors for pitchers with over 30 innings pitched. This same problem plagued him last year in AAA too, where he had a .378 BABIP, the 11th highest at the AAA level.

Typically with BABIP this high, you’d think he was just getting unlucky, but it’s hard to ignore the past two years worth of data, so despite his incredible peripherals, maybe this is just who he is?

It’s clear the Mets, at least at the major league level, never had a whole lot of confidence in him. Of the regular relievers he was used in the least important situations possible. His average Leverage Index (LI) was a measly 0.35, with a Leverage Index of 1 being an average situation (the higher the leverage, the more important the situation). The previous year was not much different where his LI was 0.65, the third lowest on the team.

His 2006 ERA of 5.11 is mainly the result of 3 games which were completely out of hand before he even entered the game.

– On 9/26 he entered the game with the Mets trailing by 6 runs and gave up another 6 runs.

– On 9/11 he entered the game with the Mets trailing by 6 runs and gave up 5 additional runs.

– On 7/2 he entered the game with the Mets trailing by 3 runs and gave up 4 runs and an additional 4 unearned runs.

So, if we take away these three horrible (meaningless) outings, his ERA ends up being 1.76. Maybe you have questions whether or not the game on 7/2 was completely meaningless. If we leave that one in, his ERA is still a pretty nice 2.72.

Heath Bell is getting a fresh start this year and despite his historically awful BABIP, his strikeout and walk rates are just too good to ignore. I’ll stick with my same prediction as last year: I’d be surprised if Heath Bell didn’t become an important fixture in the Padres bullpen.