Archive for Brian Bannister

Earlier today, in Part I of the series, I published a chart of 38 pitchers who had a difference of 0.50 or greater between their FIP and xFIP at the All-Star break and their 2nd half ERAs. Here I want to go into more detail rather than just giving a raw score for the two metrics.

In rating the two systems, I considered the metrics to recommend keeping a pitcher if at the All-Star break they were at 3.50 or lower, to listen to a trade if they were between 3.51 and 4.00, to actively look to sell the player if they were between 4.01 and 4.50 and to either sell or cut a pitcher if they were above 4.51.

Of course, we also have to consider what the pitcher’s actual ERA was at the break, too. A pitcher could still be a sell candidate if one of the metrics was significantly higher than his ERA. For these extreme cases, I considered a difference between 50-75 points to be a “listen” candidate, while above 75 to be a “sell high” guy.

Felipe Paulino – pitched in just 5.2 innings after the break. Officially a win for xFIP, but one we should probably dismiss due to a lack of playing time.

Francisco Liriano – His second half ERA was better than his first half mark, but both metrics thought he was outstanding before the All-Star break. This is a clear win for xFIP.

Anibal Sanchez – His 2nd half ERA (3.44) was a near-perfect match for his first half FIP (3.46).

Clay Buchholz – Both systems thought Buchholz was not nearly as good as he was in the first half. FIP had his as a keep while xFIP said he was an active sell. Since Buchholz did even better in the second half of the season than the first, this was a clear victory for FIP.

Josh Johnson – Both systems had Johnson as a keeper, but xFIP did a better job predicting his 3.50 post All-Star break mark.

Daisuke Matsuzaka – After allowing 4 HR in 71 IP in the first half, Matsuzaka served up 9 HR in 82.2 IP after the break. Big win for xFIP.

Johan Santana – His 3.00 ERA in the second half almost identical to his first half mark of 2.98. xFIP had Santana as a cut, so an easy win for FIP.

Jason Vargas – Eight of his 14 starts after the break came on the road and he allowed eight of his 10 second half HR away from Safeco. Big win for xFIP.

Justin Verlander – In the last three years, Verlander has posted an ERA over 5.50 in the month of April. He was terrific from May 1st through the end of the season again in 2010. Easy win for FIP.

Barry Zito – A lousy second half of the season made Zito a spectator for the Giants in the post-season. xFIP did an outstanding job predicting Zito’s collapse.

Ubaldo Jimenez – Just like with Zito, xFIP was just about perfect predicting Jimenez in the second half.

Tom Gorzelanny – Both systems saw Gorzelanny as a pretty good pitcher, but xFIP came closer to his second-half collapse.

John Danks – Again, the crystal ball for xFIP was right on target for Danks.

Tommy Hanson – In both seasons in the majors, Hanson has outperformed his xFIP. He turned it up a notch in the second half of 2010, thanks as much to his .233 BABIP as his 7 HR in 100.1 IP.

Matt Cain – Another pitcher with a history of outperforming his peripherals, Cain beat his FIP by nearly a run and his xFIP by nearly two runs in the second half of 2010.

Clayton Kershaw – Just as good in the second half of the season as he was in the first.

Cliff Lee – Many people wanted to eliminate Lee from this study last year, as he went from a pitcher’s park to a hitter’s park. But Lee outpitched his xFIP after the break in 2009. No such luck for Lee this year while following a similar story line of moving to a tougher park for pitchers.

C.J. Wilson – Like Kershaw, he was remarkable consistent between halves and ended up as a win for FIP.

Livan Hernandez – Those of us who kept predicting the bottom to fall out for Hernandez in 2010 are still waiting. Meanwhile, his second half ERA of 4.02 was a perfect match for his first half FIP.

Doug Fister – I imagine even the staunchest FIP supporters were shopping Fister every chance they could.

Fausto Carmona – After back-to-back seasons with a BB/9 over 5.00, Carmona allowed just 29 BB in 94.0 IP after the break last year. That had more to do with it than HR rate (10 HR in 94 IP) for why FIP was a clear winner.

Gavin Floyd – Fantasy owners did not know start from start what to expect from Floyd, but xFIP did a nice job of predicting his second half ERA.

Mark Buehrle – Like Wilson and Kershaw, Buehrle was a model of consistency with his ERA between halves this year. However, I worry about his K/9 rate and would be shocked if he was on any of my teams next year.

Brandon Morrow – With the Blue Jays out of the race, they decided to shut down a healthy Morrow after his first September start, which limited him to 46.1 IP after the break. A polar opposite to Buehrle, Morrow posted a 10.95 K/9, up from 8.14 a season ago.

Johnny Cueto – Cueto’s second half ERA was in the range predicted by his first half FIP and xFIP. But it was just 0.05 away from his FIP.

John Lackey – His second half ERA of 3.97 was a nice match for his 3.89 career mark but I doubt that makes too many Red Sox fans happy about his season and the team’s remaining obligation to him.

Kevin Correia – The first player on our list to have a big discrepancy between his FIP and xFIP due to a high HR rate, Correia did not show much regression in the second half of the year. Those who thought he would rebound, especially considering his home park, were disappointed. Correia allowed 13 HR in 82.1 IP in Petco this year.

Cole Hamels – Just like in 2009, one pitcher from the high HR rate side completely turned things around to become one of the best pitchers in the second half. Hopefully, Hamels has more luck in 2011 than 2009’s entry did. Rich Harden had a 5.58 ERA in 20 games with the Rangers this year after having a tremendous post-break performance (2.55 ERA) in 2009.

Nick Blackburn – Both systems would have advised cutting Blackburn, who responded with a 3.94 ERA in the second half, as he showed a big across-the-board improvement, including a microscopic 1.83 BB/9.

Kevin Millwood – Most of the players with a high HR/FB rate come back as not worth the risk by both systems. But xFIP said Millwood was significantly better than he showed in the first half and did an excellent job projecting his post-break ERA.

Jeff Karstens – An sore shoulder led to just one appearance in September. I regret the pain suffered by Mr. Karstens but it’s probably just as well that it played out that way.

Zach Duke – Hard to believe he made the All-Star team in 2009. Since then he is 11-23 with a 5.52 ERA.

James Shields – Both systems predicted a big bounce-back performance in the second half by Shields but that never materialized. He continued to give up HR by the basket, saw his K/BB ratio drop by over a full point and saw his BABIP increase to .362 after the break.

Brian Bannister – Limited to 25.2 IP in the second half due to rotator cuff tendinitis.

Randy Wolf – Both systems saw Wolf as waiver wire fodder but he had a 2.67 ERA in his final 13 starts, which was right after I placed him on waivers in a dynasty league.

Doug Davis – Elbow tendinitis kept Davis from pitching after the All-Star break.

Ricky Nolasco – FIP was nearly perfect with its Nolasco forecast, a marked departure in recent history, as he has generally underperformed his peripherals the past two seasons. Of course, Nolasco pitched just 47 innings after the break due to knee surgery.

Ian Kennedy – Neither system thought much of Kennedy going into the break but xFIP had a brighter outlook. Meanwhile, Kennedy put it altogether after the All-Star game, with Quality Starts in seven of his last nine outings. He finally started pitching well in his home park. In his last three games in Chase Field, Kennedy allowed 4 ER (0 HR) in 19 IP.

*****

When I started this comparison in 2009, my belief was that you would be just as well off using either system. After last year, there was a definite raw advantage for xFIP but now with two years worth of data, the two systems are basically even. Overall, there have been 72 pitchers who’ve had a 0.50 or greater difference between their FIP and xFIP at the All-Star break. Here’s how they did if you used their first half FIP or xFIP to project their second half ERA:

xFIP – 37
FIP – 34
Push – 1

Both systems have strengths and weaknesses. Generally speaking, xFIP does a better job with non-elite pitchers with low HR rates while FIP does a better job with elite hurlers. So, if a Tom Gorzelanny is cruising along with a sub-7.0 HR/FB rate, it appears you should look to sell high. But if it’s Justin Verlander, perhaps you should hold onto him.

We know that over the long haul that xFIP is the better metric to use for most pitchers. The issue here is that for one season (or one partial season) there may not be enough time for regression to fully kick in. Let’s look at Tim Lincecum. In the first half of 2009, he had a 3.9 HR/FB rate. In the second half of the season he had a 7.5 HR/9. This year he had a 9.9 HR/FB ratio. He has been regressing towards a normal HR/FB rate since the first half of 2009. But it did not all come in the same season.

Readers have suggested using first half ERA, or a mid-point between first half FIP and xFIP or an average of all three to see which one best predicted second half ERA. I think these are worthwhile suggestions and perhaps ones that we can use in the future (going back retroactively, too) as our sample size increases. We can also eliminate pitchers who did not pitch substantial innings and look for other trends and anomalies as our population gets bigger.

This started with a claim by my friend and colleague Derek Carty that FIP was basically useless for fantasy purposes with other metrics like xFIP available. Right now it appears FIP is making a case not to be tossed into the trash can by fantasy players.

In 2009, I did a column at the All-Star break to see if FIP or xFIP would be more helpful for fantasy players in making trades. This year I did the same thing. You can see the results below

Should Fantasy Owners Use FIP?
FIP Challenge Results Part I
FIP Challenge Results Part II
FIP Challenge 2010

Here is the table from the 2010 article, along with an additional column, the pitcher’s ERA in the second half of the season.

There are 38 pitchers in the above chart. On a raw scale, the two systems were almost identical, with the FIP metric did a better job of predicting 2nd half ERA in 20 cases while xFIP did better 17 times. Furthermore, FIP did a better job of forecasting 14 of the 26 players with low HR/FB rates and both systems got five of the 11 pitchers (Davis being a wash) with high HR/FB rates.

In 2009, xFIP did better on a raw scale, as it did a better job predicting 20 of the 34 pitchers in the sample.

Similar to 2009, most of the pitchers fell outside the range predicted by FIP and xFIP. For example, Liriano’s FIP was 2.18 while his xFIP was 2.97. But he had a 3.31 second half ERA. Only seven of the 37 players listed above had a second half ERA between their first half FIP and xFIP. The two systems were close on this, too, with FIP being better on four of these seven pitchers. In 2009, 28 of the 34 pitchers had second half ERAs outside the range of their first half FIP and xFIP numbers.

Later today I will post a breakdown of all 38 pitchers in this survey.

Here is the latest update to Week Six 2-start pitchers. Again this list is subject to change going forward.

Pitchers not listed on last update

BOS – John Lackey
FLA – Ricky Nolasco
TEX – Colby Lewis
STL – Brad Penny
TOR – Brandon Morrow
ANA – Joel Pineiro
HOU – Brett Myers
DET – Rick Porcello
NYM – Jonathon Niese
KCR – Brian Bannister
LAD – Carlos Monasterios

After getting roughed up by the Rays, Lackey has gone seven innings in each of his last three starts, picking up two wins in the process. His GB/FB ratio is essentially where it’s been the past few years, but Lackey is striking out fewer batters and issuing more walks. His 1.50 K/BB ratio is the worst of his career. Lackey is surviving thanks to a lower LD% and a lower HR/FB rate. He has posted a lower than average HR/FB rate in six of his eight seasons in the majors and so far this year it checks in at 7.1 percent.

Six of the seven homers allowed by Nolasco this year have come in his home park, where he has pitched 16 innings. The rest of the Marlins’ staff has allowed 7 HR in 135 IP at Sun Life Stadium. The average velocity on Nolasco’s fastball is down 1.1 mph and his K/9 has fallen from 9.49 to 7.26. A 1.82 BB/9 has kept his FIP and xFIP right around his ERA of 4.08, which checks in slightly better than the NL average of a 4.20 ERA.

A wicked slider which he throws over 30 percent of the time has helped make Lewis’ second stint in the majors go significantly better than his first. That has led to a 31.4 O-Swing% and a 10.24 K/9 rate. Somewhere on the West Coast, Carson Cistulli cracks a smile over this.

Last year Penny had a 1.13 GB/FB rate but it is back up to 1.49 this year. Cardinals pitching coach Dave Duncan gets all of the credit for the turnaround yet Penny had a 1.63 GB/FB rate last year with the Giants. Penny is posting the lowest walk rate of his career (1.77 BB/9) and perhaps Duncan deserves credit for that. Still, Penny is pitching better than his peripherals, with an xFIP nearly two runs higher than his ERA.

In his last four outings, Morrow is 2-1 with a 2.96 ERA and has 34 Ks in 24.1 IP. The overall numbers still look bad because of the brutal first two starts but you should definitely check the waiver wire to see if he is still available in your league.

Pineiro still has tremendous GB and BB rates, so why is his ERA sitting at 5.30 or nearly two runs a game higher than last season? Check out that 15.6 HR/FB rate, over twice as high as last year’s mark. Pineiro has also been unlucky with a .351 BABIP. The bottom line is that his xFIP of 3.89 is just slightly higher than last year’s 3.68.

This week Myers has two road starts. He has a 2.57 ERA on the road this year and an 0-2 record.

The K/9 for Porcello has risen from 4.69 to 5.70 this season. Unfortunately his BABIP has risen from .281 to .396 and combine that with a 58.4 LOB% and you get a 7.50 ERA. Porcello’s FIP and xFIP are right in line with last year, when he posed a 3.96 ERA and 14 Wins.

Omar Minaya eschewed adding a free agent pitcher in the offseason, saying he liked his internal candidates as much as what was available after Lackey signed. Niese is trying his best to make Minaya look good and has a 3.60 ERA after six starts despite a .382 BABIP.

This season Bannister has made three starts during the day and three at night. He is 1-0 with a 2.41 ERA in the sunshine and 0-2 with an 8.22 ERA under the lights. In his career, Bannister is 18-8 with a 4.06 ERA in day games and 13-32 with a 5.26 ERA at night.

Monasterios was originally signed by the Yankees out of Venezuela. He was shipped to Philadelphia in the Bobby Abreu deal and was underwhelming in three-plus years in the Phillies’ farm system. This year he was selected by the Mets in the Rule 5 draft and then sold to the Dodgers. He has been effective in relief for Los Angeles and gets bumped into the rotation as Los Angeles looks everywhere for help for its rotation. However, his xFIP is two full runs higher than his ERA.

Earlier today, in Part I of the series, I published a chart of 34 pitchers who had a difference of 0.50 or greater between their FIP and xFIP at the All-Star break and their 2nd half ERAs. Here I want to go into more detail rather than just giving a raw score for the two metrics

In rating the two systems, I considered the metrics to recommend keeping a pitcher if at the All-Star break they were at 3.50 or lower, to listen to a trade if they were between 3.51 and 4.00, to actively look to sell the player if they were between 4.01 and 4.50 and to either sell or cut a pitcher if they were above 4.51.

Of course, we also have to consider what the pitcher’s actual ERA was at the break, too. A pitcher could still be a sell candidate if one of the metrics was significantly higher than his ERA. For these extreme cases, I considered a difference between 50-75 points to be a “listen” candidate, while above 75 to be a “sell high” guy.

Zack Greinke – His xFIP was 101 points higher than his ERA, making Greinke a sell high guy. This was a big win for FIP.

Joel Pineiro – After allowing just three home runs in 17 first half games, Pineiro served up eight home runs in 15 games after the break. This was a big win for xFIP.

Tim Lincecum – It was a very good second half of the season for Lincecum, just not as good as the first half. He did have a slightly higher HR/FB rate in the second half, and xFIP did a better job predicting his post-break ERA. Still, those fantasy owners who kept him based on his FIP did not end up disappointed.

Dallas Braden – Made just four starts after the break due to a foot infection. Officially a win for xFIP, but one we should probably dismiss due to lack of playing time.

Paul Maholm – His second half ERA was lower than his first half one, despite more HR allowed. Still, this was a pitcher that FIP would have identified as a potential buy candidate at the break, so a win for xFIP.

Tim Wakefield – Made just four starts in the second half due to leg and back injuries. Officially a win for xFIP, but one we should probably dismiss due to the lack of playing time.

Clayton Kershaw – He had a 5.0 HR/FB rate at the break and was even better in the second half, as he finished the year with a 4.1 mark. His ERA finished two full runs below what xFIP predicted. This was a big win for FIP.

Derek Lowe – Opponents posted an .888 OPS versus Lowe in the second half of the season, including 10 HR in 331 ABs. This was a big win for xFIP.

Cliff Lee – Everyone thinks the move to the NL turned things around for Lee but he was 3-0 with a 1.44 ERA in his first three games with Cleveland after the break. His HR/FB rate has been below 11 percent the past five seasons. This was a big win for FIP.

Carlos Zambrano – This was the closest one, as Zambrano’s second half ERA of 4.14 was just barely closer to his first-half FIP than his xFIP. Zambrano pitched worse in the second half than in the first, but it had nothing to do with his HR rate, which declined slightly from the 5.8 he posted in the first half. This was a slight win for FIP.

Jair Jurrjens – Both FIP and xFIP predicted Jurrjens’ ERA to rise in the second half and instead he pitched even better after the break. If you went strictly by FIP at the break, you would have listened to offers for Jurrjens. If you went by xFIP you were in the sell/cut area. This was a win for FIP.

Jeff Niemann – As with Jurrjens, both of our metrics predicted an ERA rise from Niemann in the second half. FIP had him as a sell while xFIP had him as a sell or cut guy. This was a slight win for FIP.

Nick Blackburn – Yet another pitcher that both metrics forecasted a rise in ERA. Except this time, the actual rise was more drastic than even the more pessimistic xFIP predicted. Since you might have kept him if you used FIP, this was a big win for xFIP.

Edwin Jackson – Pretty much the same thing as with Blackburn above, except you were even more likely to keep Jackson if you used FIP. This was a big win for xFIP.

Mike Pelfrey – The spread with our two metrics was not nearly as great with Pelfrey as it was for Blackburn and Jackson, but the end results were the same. This was a big win for xFIP.

Jon Garland – FIP projected Garland to be virtually the same in the second half as he was in the first half while xFIP had him being noticeably worse. The trade to Los Angeles invigorated Garland, or perhaps it was simply leaving a bad home park, as he finished the year with a 5.29 ERA at Chase Field and a 1.67 ERA at Dodger Stadium. This was a win for FIP, but probably not a pitcher anyone was targeting at the break.

Felix Hernandez – Again, both metrics predicted an ERA rise in the second half, although xFIP was more pessimistic, making him a sell high guy with a difference of 94 points. Hernandez pitched even better after the break, making this a big win for FIP.

Justin Verlander – Both metrics predicted an ERA drop in the second half for Verlander, with FIP being the most optimistic. Verlander pitched well, but saw his ERA go up, making this a win for xFIP.

Brian Bannister – A 3.66 ERA in the first half made Bannister look like a useful pitcher. Both metrics saw an ERA increase, but xFIP was the most pessimistic. This was a big win for xFIP.

C.C. Sabathia – Our two metrics were split on how Sabathia would fare in the second half. With a predicted decrease from his first half ERA, this was a big win for FIP.

Brad Penny – Our two metrics were split again. But Penny’s ERA went up in the second half. This was a win for xFIP, but not many people who used FIP were angling to acquire Penny.

Vicente Padilla – His HR/FB rate went up significantly in the second half, yet Padilla produced a lower ERA after the break, thanks to a move to the NL. Neither metric identified Padilla as a pitcher to target, although FIP came very close to hitting his actual mark.

Jarrod Washburn – Both metrics identified Washburn as a sell candidate as his ERA was 92 points lower than his FIP and 150 points lower than his xFIP. Officially a win for xFIP, although you likely would have made the same decision regardless of which metric you used.

Jered Weaver – A win for xFIP, which had him as a sell, while FIP had him as a listen. There are also extra points for xFIP for exactly predicting his second half ERA.

Joe Blanton – The metrics were split on how Blanton would fare in the second half. This was a big win for xFIP, which forecasted him to be a useful pitcher and he ended up better than that.

Bronson Arroyo – Technically a win for xFIP but not many fantasy players were running out to acquire Arroyo based on his 4.99 first half xFIP.

Jamie Moyer – Repeat the comment from Arroyo, except sub in 5.06 xFIP.

Trevor Cahill – Same as the above two, except with a 5.18 FIP.

Chris Volstad – Our two metrics were split on Volstad. FIP saw him continuing to be a sell/cut guy while xFIP saw him being a useful pitcher with a sub-4.00 ERA. This was a win for FIP.

Rick Porcello – Both systems predicted a rise in ERA but FIP elevated him to cut status. This was a win for xFIP.

Braden Looper – The two metrics were split on Looper, with xFIP predicting a drop in ERA. Looper actually pitched worse in the second half but neither system would have advocated acquiring him at the break.

Josh Geer – Made just three starts after the break due to lousy pitching. Not one that either system would have suggested to add.

Rich Harden – While most of the players with above average HR/FB rates have been of little or no value in regards to fantasy, Harden is the exception. Both systems saw him improving on his first half ERA but xFIP was much more bullish. And Harden exceeded those expectations. This was a big win for xFIP.

Randy Johnson – Appeared in just four games after the break due to a rotator cuff strain. Officially a win for FIP, but one we should probably dismiss due to lack of playing time.

*****

If you made your fantasy decisions this year based on xFIP, you would be feeling very good about your choices with Pineiro, Lowe, Blackburn, Jackson, Pelfrey, Bannister, Blanton, Harden and to a lesser extent Maholm, Verlander, Weaver and Porcello.

If you made your fantasy decisions based this year based on FIP, you would be feeling very good about your choices with Greinke, Kershaw, Lee, Hernandez, Sabathia and to a lesser extent Jurrjens and Volstad.

From a pure bulk standpoint, you were better off in 2009 using xFIP at the break. But those who relied on FIP were more likely to make the right call on four of the five pitchers with the lowest ERA in the second half among the 34 pitchers in our sample.

We really cannot make any inferences for the future based on this one small sample. What we can say is that judging strictly from results in 2009 it would be a mistake to ignore FIP completely and absolutely while making fantasy decisions at the All-Star break. This year if you used xFIP you would have made the wrong decisions on some of the best pitchers in the game.

Everyone is happy when one of their pitchers is scheduled for two starts in a week. But that is not always a good thing. Here are five pitchers you may be on the fence about (or should be on the fence) putting into your lineup for Week 13.

Brian Bannister gets two home starts this week, where he has an ERA over a full run lower than his road mark. The second start of the week also comes during a day game, where Bannister has performed better throughout his career. He has a lifetime 15-6 record in day games.

Kenshin Kawakami has a 3.59 BB/9 mark this season. But in his last seven games he has allowed just 12 walks in 40.2 innings and has thrown 62 percent of his pitches for strikes. In that span he has a 2.88 ERA. Kawakami is day-to-day after getting hit in the shoulder by a line drive in his last outing. Monitor his status and get him active if it looks like he will take the mound this week.

Brandon Morrow has had three starts to stretch out his arm. But this will be a good week to get him out of the lineup as he has to fly cross country to take on the Yankees and the Red Sox on the road. The lineups of those two teams are known for being patient and working the count, not a good sign for a pitcher with a 5.93 BB/9 ratio.

Fernando Nieve has helped keep the Mets alive with wins in each of his three starts. He has an unimpressive 1.44 K/BB ratio and a 91.8 percent strand rate. But his FIP is a solid 3.88 and Nieve has a 13.6 percent LD rate. This year in the minors, he had a 14 percent LD rate. So far, the Mets’ bats have come alive with Nieve on the mound, as they have scored five, six and 11 runs in his three starts. He squares off this week versus Braden Looper and Jamie Moyer, two pitchers with an ERA above five for the season, so his teammates should keep the runs coming for him.

Randy Wolf started the season strong but has had a June swoon. This month he is 0-2 with a 5.74 ERA and only 13 Ks in 26.2 innings. Wolf takes on the red-hot Rockies and the Padres this week. Normally a road start in Petco is a good thing for a pitcher’s numbers, but Wolf is 5-6 with a 3.81 ERA and a 1.348 WHIP in 13 lifetime games in Petco after he was undefeated in four starts in Qualcomm Stadium.

Other scheduled two-start pitchers in Week 13 are listed below. Please remember that these are projected pitchers and changes can and will happen between now and next week.

J. Santana, Lincecum, Haren, Lester, Carpenter, Lilly, Oswalt, Chamberlain, Floyd, Garza, Harden, Saunders, Jimenez, Nolasco, Duke, Porcello, Blackburn, Wolf, R. Johnson, Halladay (set to be activated from the DL on Monday – get him in the lineup), Arroyo, Blanton, Pavano, Ohlendorf, Padilla, Looper, Richard, Hochevar, Hill, Thompson, Moehler, G. Gonzalez, Geer, Burns, O’Sullivan, Stammen, LeBlanc, Berken.

Check back Sunday for an update of two-start pitchers.

Now, I would like to take a step back and provide some accountability for previous picks. There needs to be a two-week time lag because last week’s pitchers have yet to complete their second start. So here are my selections for Week 11 and how they did.

Correia – Advised to start. W, 12 K, 1.84 ERA, 0.34 WHIP (2 starts)
Meche – Advised to start. W, 7 K, 6.57 ERA, 1.30 WHIP (2)
W. Rodriguez – Advised to sit. W, 12 K, 5.73 ERA, 1.45 WHIP (2)
Wakefield – Advised to start. W, 6 K, 4.26 ERA, 1.26 WHIP (2)
Zito – Advised to start. W, 11 K, 7.59 ERA, 1.50 WHIP (2)