The Fantasy Baseball Sherpa

So, it’s Sunday night or Monday morning, and your league’s weekly lineup submissions are due.  You’re trying to decide among three starting pitchers (whether on your current roster or not) to fill your last pitching slot.  How should you go about it?

You could “go with your gut” and hope for the best (good luck with that).  You could look up each pitcher’s historical record (assuming he has one) against his upcoming opponent(s) and use that as a guide, ignoring the fact that a team’s roster is likely to experience significant turnover from season to season that will render historical results obsolete.  You could rely on the Remainder-of-Season Forecasts in the Fantasy Baseball Sherpa’s In-season Updates (shameless self-promotion).

While the third option is definitely better than the first two, it still leaves out one crucial component if you’re trying to make a short-term decision on which pitcher to start:  the quality of the pitcher’s opponent.  How can this be quantified?  The same way you would quantify the pitcher’s results - look at the historical data.

To assess a starting pitcher’s upcoming matchup(s) we want to use opponents’ success (or lack thereof) against a specific team.  For example, if I play in a league that uses the standard 5 pitching categories (Wins, Saves, Ks, ERA, WHIP), I’ll want to look at MLB Opponent Pitching Stats in each category that involves starting pitchers, so that eliminates Saves from my list.

I want to set my scoring system up so that the least desirable opponents have the highest scores, and the most desirable opponents have the lowest scores.  The least desirable opponent would have the highest number of Wins (equivalently, the lowest number of losses), the biggest difference between AB and Strikeouts (or, if you prefer, the lowest Strikeout per AB rate), the highest number of Runs Scored (using this as a proxy for ERA), and the highest number of Walks + Hits (using this as a proxy for WHIP).  Conversely, the most desirable opponent would have the lowest number of Wins (equivalently, the highest number of losses), the highest Strikeout per AB rate, the lowest number of Runs Scored, and the lowest number of Walks + Hits.

We can set up a scoring system for which the “best” team in each category receives a score of 1.00, and all other teams receive a score between 0 and 1 depending on the ratio of their result to the result of the best team in each category.  Thus, the maximum score is the number of pitching categories under consideration (4 in my example).  Add up a team’s results in each category to get its overall score; again, the lower the overall score, the more desirable the opponent.

Based on games through 6/13/09, here’s how the 30 MLB teams rank using the 4 categories in my example (with their accompanying score):

1. Was 2.92 (max score is 4.00)
2. KC 3.02
3. SD 3.03
4. ChC 3.05
5. Oak 3.11
6. Sea 3.11
7. SF 3.12
8. Hou 3.16
9. CWS 3.16
10. Ari 3.18
11. Bal 3.20
12. Cin 3.20
13. Pit 3.21
14. Atl 3.22
15. Mil 3.31
16. LAA 3.34
17. Col 3.35
18. StL 3.36
19. Fla 3.39
20. Tex 3.40
21. Det 3.41
22. NYM 3.43
23. Cle 3.45
24. Min 3.52
25. Phi 3.55
26. Tor 3.69
27. NYY 3.71
28. TB 3.71
29. Bos 3.73
30. LAD 3.80

No surprise to see teams like the Nationals, Royals, Padres, A’s, Mariners, and Giants at the top of the list of most desirable opponents, but the presence of the Cubs among the “worst” offensive teams is a bit of a surprise to me.  If you’d asked me before the season started, I would have told you that the Cubs should have one of the best offenses in baseball.  Of course, Aramis Ramirez’ injury combined with slow starts by Geovany Soto, Derrek Lee, and (to a lesser extent) Alfonso Soriano have all contributed to the Cubs’ abysmal ranking.  However, it points out the need to take a quick glance at a team’s current overall health compared to its health season-to-date.  The NY Mets might be ranked as one of the least desirable opponents according to this chart, but sans Carlos Delgado and Jose Reyes, they’re obviously a less formidable foe now than they would be if this pair were healthy.

Nevertheless, the approach I’ve outlined above can take some of the guesswork out of selecting starting pitchers for your weekly lineups.  Of course, use your common sense - given the choice, I’d much rather start Johan Santana against the Dodgers (yes, in spite of his awful start today against the Yankees!) than Livan Hernandez or Tim Redding against the Nationals.  However, if you’re deciding among several pitchers of similar quality, this analysis can be extremely useful.

Until next time!

The Sherpa

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Towards the end of the 1983 classic Return of the Jedi Emperor Palpatine tells Luke Skywalker “I can feel your anger” as he implores Luke to join the Dark Side of the Force.  Yes, by making a Star Wars reference I’m dating myself, but as a friend of mine used to say, somebody’s got to do it.

Much like the Emperor Palpatine, I can feel the anger directed towards Alex Rodriguez by baseball fans in the wake of his recent admission that he used steroids from 2001-2003 while a member of the Texas Rangers.  What impact did A-Rod’s steroid use have on his fantasy baseball value?  Surprisingly, the answer is “not much”.

On my website FantasyBaseballSherpa.com I’ve created a method of evaluating players’ fantasy baseball impact called the Sherpa Points system.  For counting stats such as home runs, RBI, etc., the league leader in the category is assigned a Sherpa Points score of 1.00.  A player with half the league leader’s total in that category would receive a 0.50 Sherpa Points, a player with a quarter of the league leader’s total in that category would receive 0.25 Sherpa Points, etc. 

For rate stats such as batting average a proxy statistic can be used.  To get a player’s Total Sherpa Points across all fantasy categories, you simply add up his Sherpa Points in each individual category.  If your fantasy league uses n hitting categories, then the maximum Total Sherpa Points would be n.  Thus, we have a straightforward method of evaluating a player’s overall fantasy impact.  The same method can be used to evaluate pitchers.

For the standard five hitting categories (AVG, HR, RBI, SB, R) here are Alex Rodriguez’ Total Sherpa Points scores by year since he became a full-time player in 1996 (max possible score is 5.00):

• 1996:  3.70
• 1997:  2.37
• 1998:  3.63
• 1999:  2.57
• 2000:  3.29
• 2001:  3.35
• 2002:  3.67
• 2003:  3.34
• 2004:  2.87
• 2005:  3.89
• 2006:  2.77
• 2007:  3.80
• 2008:  2.92

The preceding makes it clear that while Rodriguez may have been more consistent from 2001-2003 than over any other three-year period of his career, he definitely did not perform at a higher level relative to his peers during those years.  In fact, his best year during his “Steroid Period” (2002) stacks up as only the fourth-best fantasy season of his career, trailing 2005, 2007, and even 1996!

Perhaps you despise Rodriguez because you don’t like his personality, you think he doesn’t come through during the playoffs, you believe he’s still taking illegal substances, you hate the Yankees, or you get tired of reading about his off-the-field antics in the tabloids.  Whatever the reason, if you want to maximize your chances for fantasy baseball success in 2009, you need to set that all aside and take him this year if he’s available when it’s your turn to draft.

I project the following stats for Rodriguez for 2009:  .302 AVG, 44 HR, 133 RBI, 21 SB, 128 R, 3.65 Total Sherpa Points.  When you factor in Position Scarcity (the drop-off between the top-rated options and the mediocre options at each position), you could make an argument that Hanley Ramirez (3.44 projected Total Sherpa Points) should be the top overall pick.  However, given the relative uncertainty surrounding Ramirez (e.g. – will he be batting leadoff or third?  will his supporting cast be weaker this year than in the past?), I would argue strongly for Rodriguez as the first overall pick.

Let go of your anger – it will not serve you well.

Until next time,

The Sherpa