The Fantasy Baseball Sherpa

This time of year many fantasy baseball team owners look to trades in an effort to improve their place in the standings.  Of course, everyone’s ideal is to trade away players who will perform worse over the remainder of the season than they have year-to-date, while simultaneously trading for players who will perform better over the remainder of the season than they have year-to-date.

How should you assess a player’s year-to-date value vs. his forecasted remainder-of season value?  Using Fantasy Baseball Sherpa’s In-season Updates tool, an owner can quantify both of these values in an effort to identify players who are currently undervalued and overvalued.  Fantasy Baseball Sherpa assigns a score of 1.00 Sherpa Points to the league leader in each category.  All other players are assigned a score for that category based on their result relative to the league leader’s result.

For example, if the league leader has hit 26 HRs year-to-date, then a player who has hit 13 HRs year-to-date would be assigned a scoreof 0.50 Sherpa Points.  For ratio categories (e.g.- AVG, ERA) a proxy statistic is used.  A player’s scores in each category can be added up to determine the player’s Total Sherpa Points.  A player’s maximum score is equal to the number of categories used (note:  this maximum score will be different for Hitters and Pitchers if your league uses a different number of categories for Hitters and Pitchers).

Here are 10 American League Pitchers who are good buy-low candidates for a league using the standard 5 Pitching categories (Wins, Saves, Strikeouts, ERA, & WHIP) based on stats through games of Sun 6/21/09:

1. John Lackey, SP, LAA (1.74 Remainder-of-Season Total Sherpa Points - 0.00 Year-to-Date Total Sherpa Points = +1.74)
2. CC Sabathia, SP, NYY (3.20 - 1.86 = +1.34)
3. Joakim Soria, RP, KC (2.08 - 0.83 =+1.25)
4. Ervin Santana, SP, LAA (0.70 - -0.42 = +1.12)
5. Scott Kazmir, SP, TB (0.45 - -0.45 = +0.90)
6. Rich Hill, SP, Bal (1.15 - 0.29 = +0.86)
7. Francisco Liriano, SP, Min (0.83 - 0.02 = +0.81)
8. Jonathan Papelbon, RP, Bos (2.31 - 1.51 = +0.80)
9. Mariano Rivera, RP, NYY (2.21 - 1.43 = +0.78)
10. Joba Chamberlain, SP, NYY (1.59 - 0.86 = +0.73)

Here are 10 American League Pitchers who are good sell-high candidates for a league using the standard 5 Pitching categories based on stats through games of Sun 6/21/09:

1. Edwin Jackson, SP, Det (1.21 - 2.50 = -1.29)
2. Kevin Millwood, SP, Tex (1.38 - 2.30 = -0.92)
3. Justin Verlander, SP, Det (2.00 - 2.58 = -0.58)
4. Scott Richmond, SP, Tor (0.80 - 1.36 = -0.56)
5. Jason Vargas, SP, Sea (0.32 - 0.88 = -0.56)
6. Drew Bailey, RP, Oak (1.35 - 1.90 = -0.55)
7. David Aardsma, RP, Sea (1.26 - 1.79 = -0.53)
8. J.P. Howell, RP, TB (0.79 - 1.30 = -0.51)
9. Scott Feldman, SP, Tex (0.61 - 1.12 = -0.51)
10. Josh Outman, SP, Oak (0.87 - 1.34 = -0.47)

Of course, there are a number of reasons why a player’s performance over the remainder of the season may vary significantly from his performance year-to-date, including normal variation in results, injuries, changes in roles, etc.  By attempting to quantify both a player’s year-to-date and remainder-of-season results, we can take at least some of the guesswork out of identifying buy-low and sell-high candidates.

I’ll take a look at NL Pitchers in my next post.

Until then,

The Sherpa

Fantasy Baseball Sherpa

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It’s just over 3 weeks into the 26-week baseball season, and some fantasy baseball owners are already hitting the panic button.

Which of the following moves, if any, would you make at this point in the season if you were playing in a mixed league that uses the standard 5 hitting categories (AVG, HR, RBI, R, SB) and 5 pitching categories (W, SV, K, ERA, WHIP)?

• Drop Jose Guillen for Gabe Kapler
• Drop Edwin Encarnacion for Fred Lewis
• Drop Carlos Delgado for Nelson Figueroa
• Drop Francisco Liriano for Vicente Padilla

Amazingly, one owner in a 12-team league I play in has made all of those moves within the last week or so. I’ve never met him (we have an on-line draft), but I’d bet that he’s a Type A personality. He’s currently in 5th place in our league, but my guess is that he won’t be staying there for long if the above transactions are indicative of the way he’ll be managing his team this season. Vulture that I am, I swooped in and grabbed both Encarnacion (dropping Franklin Gutierrez) and Liriano (dropping Andy Sonnanstine) mere nanoseconds after I noticed their names on our league’s free agent list.

So, how should you evaluate a player’s unexpectedly hot/cold start in deciding whether to make a roster move? Let’s look at hitters first.

For hitters we’ll use Nate McLouth as an example of a fast-starter and David Ortiz as an example of a slow-starter. We’ll look at the following indicators:

1. Strikeout rate = K/AB
2. Walk rate = BB/AB
3. Batting average on balls in play (aka BABIP) = (H-HR)/(AB-HR-K)

Let’s look at McLouth first:

1. Strikeout rate
   • 2008 (80 AB) = 12.5%
   • 2007 (329 AB) = 23.4%
   • 2006 (270 AB) = 21.9%
   • 2005 (109 AB) = 18.3%
2. Walk rate
   • 2008 = 11.3%
   • 2007 = 11.9%
   • 2006 = 6.7%
   • 2005 = 2.8%
3. Batting average on balls in play
   • 2008 = .403
   • 2007 = .301
   • 2006 = .275
   • 2005 = .274

It appears that McLouth is developing more patience at that plate as his career progresses. His increased willingness to take a walk suggests that pitchers realize they now have to throw strikes to get him out. His keys to future success: can he maintain his lower strikeout rate (unlikely) and high BABIP (even more unlikely) over the course of a full season? If you own McLouth, I’d suggest seeing what other owners in your league might be willing to part with in a trade in exchange for McLouth. If you have the opportunity to address several shortcomings on your current roster by trading McLouth, I’d do it.

Now let’s look at Ortiz:

1. Strikeout rate
   • 2008 (79 AB) = 20.3%
   • 2007 (549 AB) = 18.8%
   • 2006 (558 AB) = 21.0%
   • 2005 (601 AB) = 20.6%
2. Walk rate
   • 2008 = 13.9%
   • 2007 = 20.2%
   • 2006 = 21.3%
   • 2005 = 17.0%
3. Batting average on balls in play
   • 2008 = .197
   • 2007 = .358
   • 2006 = .274
   • 2005 = .309

Ortiz’ lower walk rate this season suggests that he is swinging at a few more bad pitches than usual. However, his strikeout rate is in line with his historical averages, which suggests that he is putting more balls in play rather than striking out more. His keys to future success: can he increase his walk rate so that it’s in line with his historical rates (likely)? Will his luck improve on balls that he puts in play, resulting in a higher BABIP (even more likely)? If you own Ortiz, hang on - he’ll be fine; in fact, I’d be shocked if he finishes the season with a batting average lower than .280. Conversely, if you don’t currently own Ortiz, send out a trade feeler to his current owner and see whether you might be able to pry him loose for something less than full value.

I’ll perform a similar analysis on a pair of pitchers (C.C. Sabathia and Cliff Lee) in my next post.

Until then,

The Sherpa