The Fantasy Baseball Sherpa

This is the fifth in a series of posts taking a look back at the top fantasy baseball performers for 2008. Today I’ll review the top 10 Hitters using a 5×5 AL-only format. For the purposes of this analysis I’m including only Manny Ramirez’ Red Sox’ stats (he ranked 43rd overall based on 365 At-Bats) and Mark Teixeira’s Angels’ stats (he ranked 64th based on 193 At-Bats)

1. Dustin Pedroia (Preseason rank was 45) - BOS, 2B

• Actual stats: 653 AB, 17 HR, 83 RBI, 20 SB, .326 AVG, 118 R, 3.50 Sherpa Pts (out of a max of 5.00)
• Projected stats: 602 AB, 10 HR, 61 RBI, 6 SB, .296 AVG, 96 R, 1.97 Sherpa Pts

2. Josh Hamilton (60) - TEX, OF

• Actual stats: 624 AB, 32 HR, 130 RBI, 9 SB, .304 AVG, 98 R, 3.47 Sherpa Pts
• Projected stats: 488 AB, 23 HR, 75 RBI, 10 SB, .266 AVG, 75 R, 1.81 Sherpa Pts

3. Alex Rodriguez (1) - NYY, 3B

• Actual stats: 510 AB, 35 HR, 103 RBI, 18 SB, .302 AVG, 104 R, 3.44 Sherpa Pts
• Projected stats: 587 AB, 45 HR, 135 RBI, 21 SB, .308 AVG, 129 R, 4.01 Sherpa Pts

4. Grady Sizemore (11) - CLE, OF

• Actual stats: 634 AB, 33 HR, 90 RBI, 38 SB, .268 AVG, 101 R, 3.20 Sherpa Pts
• Projected stats: 629 AB, 25 HR, 77 RBI, 27 SB, .285 AVG, 121 R, 2.82 Sherpa Pts

5. Aubrey Huff (69) - BAL, 1B/3B

• Actual stats: 598 AB, 32 HR, 108 RBI, 4 SB, .304 AVG, 96 R, 3.15 Sherpa Pts
• Projected stats: 580 AB, 21 HR, 82 RBI, 2 SB, .272 AVG, 72 R, 1.75 Sherpa Pts

6. Kevin Youkilis (39) - BOS, 1B

• Actual stats: 538 AB, 29 HR, 115 RBI, 3 SB, .312 AVG, 91 R, 3.12 Sherpa Pts
• Projected stats: 560 AB, 20 HR, 79 RBI, 4 SB, .284 AVG, 96 R, 2.08 Sherpa Pts

7. Miguel Cabrera (3) - DET, 1B/3B

• Actual stats: 616 AB, 37 HR, 127 RBI, 1 SB, .292 AVG, 85 R, 3.11 Sherpa Pts
• Projected stats: 622 AB, 35 HR, 123 RBI, 4 SB, .323 AVG, 106 R, 3.51 Sherpa Pts

8. Bobby Abreu (7) - NYY, OF

• Actual stats: 609 AB, 20 HR, 100 RBI, 22 SB, .296 AVG, 100 R, 3.04 Sherpa Pts
• Projected stats: 602 AB, 18 HR, 106 RBI, 28 SB, .287 AVG, 116 R, 2.90 Sherpa Pts

9. Ichiro Suzuki (6) - SEA, OF

• Actual stats: 686 AB, 6 HR, 42 RBI, 43 SB, .310 AVG, 103 R, 2.98 Sherpa Pts
• Projected stats: 665 AB, 9 HR, 59 RBI, 37 SB, .323 AVG, 106 R, 3.11 Sherpa Pts

10. Justin Morneau (25) - MIN, 1B

• Actual stats: 623 AB, 23 HR, 129 RBI, 0 SB, .300 AVG, 97 R, 2.96 Sherpa Pts
• Projected stats: 599 AB, 32 HR, 115 RBI, 1 SB, .280 AVG, 88 R, 2.46 Sherpa Pts

There were a number of surprises on this list, including Pedroia, Huff, and Youkilis. I didn’t think Josh Hamilton could stay healthy long enough to accumulate the necessary At-Bats to be a top fantasy producer, but I was mistaken. Dividing the Sherpa Pts by the AB gives a decent indicator of the overall accuracy of the initial projection compared to the actual results. Using this indicator, I have little doubt Alex Rodriguez would have been at the top of the list had he not missed almost a month due to injury (only the second time in 13 seasons as a full-time big-leaguer that he’d missed a significant number of games).

You’ll also note that only four of the Hitters listed above were in my preseason top 10 list. Who were the other six, and how did they fare? I’m glad you asked!

65. David Ortiz (2) - BOS, 1B

• Actual stats: 416 AB, 23 HR, 89 RBI, 1 SB, .264 AVG, 74 R, 1.91 Sherpa Pts
• Projected stats: 560 AB, 44 HR, 130 RBI, 2 SB, .313 AVG, 116 R, 3.44 Sherpa Pts

71. Carl Crawford (4) - TB, OF

• Actual stats: 443 AB, 8 HR, 57 RBI, 25 SB, .273 AVG, 69 R, 1.80 Sherpa Pts
• Projected stats: 635 AB, 15 HR, 84 RBI, 54 SB, .310 AVG, 99 R, 3.40 Sherpa Pts

16. Vladimir Guerrero (5) - LAA, OF

• Actual stats: 541 AB, 27 HR, 91 RBI, 5 SB, .303 AVG, 85 R, 2.75 Sherpa Pts
• Projected stats: 589 AB, 30 HR, 120 RBI, 5 SB, .319 AVG, 93 R, 3.19 Sherpa Pts

28. Derek Jeter (8) - NYY, SS

• Actual stats: 596 AB, 11 HR, 69 RBI, 11 SB, .300 AVG, 88 R, 2.31 Sherpa Pts
• Projected stats: 651 AB, 13 HR, 78 RBI, 20 SB, .315 AVG, 109 R, 2.89 Sherpa Pts

101. Howie Kendrick (9) - LAA, 2B

• Actual stats: 340 AB, 3 HR, 37 RBI, 11 SB, .306 AVG, 43 R, 1.28 Sherpa Pts
• Projected stats: 601 AB, 15 HR, 92 RBI, 16 SB, .314 AVG, 103 R, 2.85 Sherpa Pts

37. Delmon Young (10) - MIN, OF

• Actual stats: 575 AB, 10 HR, 69 RBI, 14 SB, .290 AVG, 80 R, 2.10 Sherpa Pts
• Projected stats: 670 AB, 21 HR, 93 RBI, 21 SB, .296 AVG, 102 R, 2.82 Sherpa Pts

We’re already busy here in Sherpaville developing projections for the 2009 season (we’re one of several projection providers selected for the 2009 season by Mock Draft Central!), but I’ll conclude this series with a look at the 2008 top 10 Pitchers in an AL-only 5×5 format as time permits.

Until next time,

The Sherpa

This will be the first in a series of posts taking a look back at the top fantasy baseball performers for 2008. Today I’ll start with the top 10 Hitters using a 5×5 mixed league format.

1. Albert Pujols (Preseason rank was 7) - STL, 1B
   • Actual stats: 524 AB, 37 HR, 116 RBI, 7 SB, .357 AVG, 100 R, 3.46 Sherpa Pts (out of a max of 5.00)
   • Projected stats: 528 AB, 37 HR, 110 RBI, 6 SB, .330 AVG, 105 R, 3.32 Sherpa Pts
2. Manny Ramirez (38) - LAD/BOS, OF
   • Actual stats: 552 AB, 37 HR, 121 RBI, 3 SB, .332 AVG, 102 R, 3.22 Sherpa Pts
   • Projected stats: 499 AB, 30 HR, 105 RBI, 0 SB, .303 AVG, 91 R, 2.55 Sherpa Pts
3. David Wright (5) - NYM, 3B
   • Actual stats: 626 AB, 33 HR, 124 RBI, 15 SB, .302 AVG, 115 R, 3.16 Sherpa Pts
   • Projected stats: 607 AB, 29 HR, 112 RBI, 26 SB, .316 AVG, 108 R, 3.40 Sherpa Pts
4. Hanley Ramirez (4) -FLA, SS
   • Actual stats: 589 AB, 33 HR, 67 RBI, 35 SB, .301 AVG, 125 R, 3.09 Sherpa Pts
   • Projected stats: 645 AB, 23 HR, 71 RBI, 52 SB, .310 AVG, 123 R, 3.41 Sherpa Pts
5. Lance Berkman (20) - HOU, 1B/OF
   • Actual stats: 554 AB, 29 HR, 106 RBI, 18 SB, .312 AVG, 114 R, 3.04 Sherpa Pts
   • Projected stats: 562 AB, 37 HR, 113 RBI, 6 SB, .294 AVG, 96 R, 2.80 Sherpa Pts
6. Matt Holliday (2) - COL, OF
   • Actual stats: 539 AB, 25 HR, 88 RBI, 28 SB, .321 AVG, 107 R, 3.02 Sherpa Pts
   • Projected stats: 636 AB, 33 HR, 125 RBI, 12 SB, .322 AVG, 114 R, 3.56 Sherpa Pts
7. Dustin Pedroia (93) - BOS, 2B
   • Actual stats: 653 AB, 17 HR, 83 RBI, 20 SB, .326 AVG, 118 R, 2.98 Sherpa Pts
   • Projected stats: 602 AB, 10 HR, 61 RBI, 6 SB, .296 AVG, 96 R, 1.95 Sherpa Pts
8. Josh Hamilton (129) - TEX, OF
   • Actual stats: 624 AB, 32 HR, 130 RBI, 9 SB, .304 AVG, 98 R, 2.98 Sherpa Pts
   • Projected stats: 488 AB, 23 HR, 75 RBI, 10 SB, .266 AVG, 75 R, 1.74 Sherpa Pts
9. Jose Reyes (13) - NYM, SS
   • Actual stats: 688 AB, 16 HR, 68 RBI, 56 SB, .297 AVG, 113 R, 2.97 Sherpa Pts
   • Projected stats: 673 AB, 13 HR, 65 RBI, 70 SB, .285 AVG, 116 R, 2.98 Sherpa Pts
10. Alex Rodriguez (1) - NYY, 3B
    • Actual stats: 510 AB, 35 HR, 103 RBI, 18 SB, .302 AVG, 104 R, 2.92 Sherpa Pts
    • Projected stats: 587 AB, 45 HR, 135 RBI, 21 SB, .308 AVG, 129 R, 3.84 Sherpa Pts

The most interesting observation from my perspective - the relative difficulty in projecting SB and AVG vs. projecting the other hitting categories. Injuries obviously impact the actual rankings (e.g. - Matt Holliday and Alex Rodriguez), but so do changes in batting order position (e.g. - Dustin Pedroia). Dividing the Sherpa Pts by the AB gives a decent indicator of the overall accuracy of the initial projection compared to the actual results.

You’ll also note that only 5 of the Hitters listed above were in my preseason top 10 list. Who were the other five, and how did they fare? I’m glad you asked!

95. David Ortiz (3) - BOS, Util

• Actual stats: 416 AB, 23 HR, 89 RBI, 1 SB, .264 AVG, 74 R, 1.69 Sherpa Pts
• Projected stats: 560 AB, 44 HR, 130 RBI, 2 SB, .313 AVG, 116 R, 3.44 Sherpa Pts

19. Miguel Cabrera (6) - DET, 1B/3B

• Actual stats: 616 AB, 37 HR, 127 RBI, 1 SB, .292 AVG, 85 R, 2.68 Sherpa Pts
• Projected stats: 622 AB, 35 HR, 123 RBI, 4 SB, .323 AVG, 106 R, 3.40 Sherpa Pts

13. Chase Utley (8) - PHI, 2B

• Actual stats: 607 AB, 33 HR, 104 RBI, 14 SB, .292 AVG, 113 R, 2.85 Sherpa Pts
• Projected stats: 595 AB, 27 HR, 109 RBI, 13 SB, .318 AVG, 115 R, 3.22 Sherpa Pts

108. Carl Crawford (9) - TB, OF

• Actual stats: 443 AB, 8 HR, 57 RBI, 25 SB, .273 AVG, 69 R, 1.52 Sherpa Pts
• Projected stats: 635 AB, 15 HR, 84 RBI, 54 SB, .310 AVG, 99 R, 3.19 Sherpa Pts

36. Vladimir Guerrero (10) - LAA, OF

• Actual stats: 541 AB, 27 HR, 91 RBI, 5 SB, .303 AVG, 85 R, 2.36 Sherpa Pts
• Projected stats: 589 AB, 30 HR, 120 RBI, 5 SB, .319 AVG, 93 R, 3.08 Sherpa Pts

We’re already busy here in Sherpaville developing projections for the 2009 season, but I’ll continue this series with a look at the 2008 top 10 Pitchers in a mixed league 5×5 format as time permits.

Until next time,

The Sherpa

Today I’ll take a look at the Top 10 Hitters (both year-to-date and for the rest of the season) in a standard AL-only league format (i.e. - Hitting categories are HR, RBI, AVG, SB, and Runs Scored). Each player receives a Sherpa Point score ranging from 0 to 1 in each of the 5 categories; thus, the maximum possible score is 5.00.

For the counting statistics the league leader is assigned a score of 1.00; all other Hitters’ scores are calculated by taking the ratio of their score in a particular category to the league leader’s score. For example, if the league leader has 25 Home Runs, a Hitter with 15 Home Runs would receive a score of .60, a Hitter with 10 Home Runs would receive a score of .40, etc. For average-based categories (e.g.- AVG) a proxy statistic is used. Hitters’ Sherpa Points scores in each individual category are added to calculate the Total Sherpa Points.

Top 10 Hitters Year-to-Date

1. Ian Kinsler - 3.82 (Remainder-of-Season forecast = 3.65 Sherpa Points, which ranks 2nd overall)
2. Josh Hamilton - 3.34 (3.00, 9th)
3. Alex Rodriguez - 3.19 (4.35, 1st)
4. Grady Sizemore - 3.06 (3.22, 3rd)
5. Jermaine Dye - 2.98 (2.95, 11th)
6. Carlos Quentin - 2.90 (2.90, 12th)
7. Justin Morneau - 2.80 (3.07, 6th)
8. Dustin Pedroia - 2.76 (2.62, 25th)
9. Kevin Youkilis - 2.70 (2.63, 24th)
10. Ichiro Suzuki - 2.58 (3.08, 5th)

Top 10 Hitters for Remainder of Season

1. Alex Rodriguez - 4.35 (Year-to-Date score = 3.19 Sherpa Points, which ranks 3rd)
2. Ian Kinsler - 3.65 (3.82, 1st)
3. Grady Sizemore - 3.22 (3.06, 4th)
4. Manny Ramirez - 3.16 (2.56, 11th)
5. Ichiro Suzuki - 3.08 (2.58, 10th)
6. Justin Morneau - 3.07 (2.80, 7th)
7. Miguel Cabrera - 3.00 (2.33, 18th)
8. Magglio Ordonez - 3.00 (2.35, 17th)
9. Josh Hamilton - 3.00 (3.34, 2nd)
10. Carl Crawford - 2.97 (2.17, 26th)

With fantasy league trading deadlines rapidly approaching, these lists can serve as a guide to potential sell high and buy low candidates. For example, if you currently own Josh Hamilton, and the Alex Rodriguez owner in your league is willing to trade A-Rod in a one-for-one deal for Hamilton, I’d do it in a heartbeat!

The other “sell high” candidates that jump out from the lists above are Red Sox Dustin Pedroia and Kevin Youkilis. If you’re looking for a “buy low” candidate, Carl Crawford is definitely a player worth pursuing for the home stretch.

I’ll take a look at the Top 10 AL-only Pitchers in my next post.

Until then,

The Sherpa

So it’s finally happened. Jay Bruce, who is less than half Barack Obama’s age and less than one-third of John McCain’s age, but has seemingly generated more conversation in 2008 (at least among fantasy baseball enthusiasts) than Obama and McCain combined, has finally landed in Cincinnati.

Stripping away the hype, what does this mean for those with the foresight to stash Bruce at the beginning of the season or the waiver wire priority to claim him during the season? Will he make the immediate impact that rookies Ryan Braun and Hunter Pence did after the call-ups during the 2007 season? Will he disappoint the way that Alex Gordon did during his rookie season (also 2007)? Or, as the cliche goes, does the true answer lie somewhere in the middle?

Based on his minor league rate stats, with a few subjective adjustments, here’s what I think you can realistically expect from Bruce for the rest of this season:

• 409 AB
• 62 R
• 114 H
• 30 2B
• 5 3B
• 16 HR
• 68 RBI
• 12 SB
• 36 BB
• 115 SO
• .279 AVG
• .330 OBP
• .494 SLG

So, where would these results place Bruce among his more established peers? The Sherpa Point scale assigns a score of 1.00 to the player with the top score in each category; all other players’ scores in that category are based on their result in that category compared to the league leader’s. For example, if the league leader is projected to hit 50 HRs, a batter projected to hit 40 HRs would receive 0.80 Sherpa HR pts, a batter projected to hit 25 HRs would receive 0.50 Sherpa HR pts, etc. For average-based categories such as AVG, OBP, SLG, and OPS, a proxy statistic is used. Thus, if you play in a league that uses 5 offensive categories, the maximum Hitter’s Sherpa Points score would be 5.00.

Pro-rating my Preseason Projections for all Hitters, I project that in a league using the 5 standard offensive categories (AVG, HR, RBI, SB, and R) Bruce would score 2.38 Sherpa Points. This would place Bruce roughly 20th overall, comparable to the projected Sherpa Point scores for fellow Outfielders Chris Young and B.J. Upton. Obviously, their Sherpa Point scores will vary by category (in some cases quite a bit), but on an overall basis, that’s where I believe Bruce’s value will fall. For the sake of comparison, the Top 3 Outfielders (based on Preseason Projected Sherpa Points) were Matt Holliday (3.56), Carl Crawford (3.19), and Vlad Guerrero (3.08).

So while Bruce should be a strong contributor to your fantasy team if you’re fortunate enough to have him, he will not carry you to your league’s championship by himself. It wouldn’t surprise me at all if he’s eventually a Top 5 Outfielder from a fantasy perspective, but that’s highly unlikely to happen in 2008. As long as you temper your expectations, you will not be disappointed.

Until next time,

The Sherpa

With just over 25% of the 2008 season already in the books many experts are now putting forth their “Biggest Surprises” and “Biggest Disappointments” lists. I will do something similar in this post, but I will also give you the actual impact these players have had year-to-date in a league that uses the standard 5×5 scoring categories.

Let’s look at Hitters first. The Sherpa Point system gives each Hitter a score ranging from 0 to 1.00 in each of the 5 standard hitting categories (AVG, HR, RBI, SB, R). Essentially, the league leader in each category is given a score of 1.00, while all other Hitters’ scores in that category are calculated as the ratio of their result to the league leader’s result.

For example, if Lance Berkman leads the league with 16 HRs, he gets a Sherpa Point score of 1.00 in the HR category; a Hitter with 8 HRs gets a score of 0.50; a Hitter with 4 HRs gets a score of 0.25, etc. A proxy statistic is used for average-based categories (e.g. - AVG, OBP, SLG, OPS)

The maximum Hitters’ score is equal to the number of hitting categories, and the maximum Pitchers’ score is equal to the number of pitching categories. Statistics are taken from games through Tues 5/20/08.

Without further ado, here’s the list of the Top 10 Year-to-Date 5×5 Mixed League Hitters:

1. Lance Berkman 4.13 (Preseason Projection was 2.80)
2. Chipper Jones 3.03 (2.58)
3. Dan Uggla 2.72 (1.89)
4. Josh Hamilton 2.70 (1.74)
5. Nate McLouth 2.69 (1.82)
6. Chase Utley 2.66 (3.22)
7. Hanley Ramirez 2.64 (3.41)
8. Albert Pujols 2.61 (3.32)
9. Carlos Quentin 2.55 (1.92)
10. Miguel Tejada 2.51 (2.38)

Berkman is obviously outperforming his projections by the largest amount so far (and will likely come back down to earth in short order), but Dan Uggla, Josh Hamilton, and Nate McLouth have probably offered the greatest value so far relative to where they were picked in drafts and the amount paid for them in auctions. Of the Top 10 shown here, only three (Utley, Ramirez, and Pujols) were among the Preseason Top 10 Hitters.

Many others who went in the first round of many drafts have not fared well in the early stages of the season. Consensus top-pick Alex Rodriguez (1.01 Year-to-Date vs. 3.84 Preseason Projection) and reigning NL MVP Jimmy Rollins (1.22 vs. 3.05) have missed significant time due to injuries. Other highly touted players who have disappointed their owners so far: Jose Reyes (1.73 vs. 2.98), David Wright (2.11 vs. 3.40), Ryan Braun (2.29 vs. 2.82), Miguel Cabrera (1.51 vs. 3.40), David Ortiz (1.88 vs. 3.44), Matt Holliday (2.17 vs. 3.56), Carl Crawford (2.18 vs. 3.19), Vladimir Guerrero (1.17 vs. 3.08), and Ryan Howard (1.08 vs. 3.07).

The discrepancy between a player’s Year-to-Date Sherpa Point score vs. his Preseason Projected Sherpa Point score can also be used as an indicator for constructing trade proposals. If you have a player on your team who is outperforming his projection by half a point or more, and you have several glaring weaknesses elsewhere on your roster, I would definitely be looking to sell high on that player. Conversely, if some of these players have disappointed other owners in your league, it may be worth inquiring about the possibility of buying low. If you can flip an overperforming player for an underperforming one, you have mastered the art of trading!

I’ll put together a similar list for Pitchers in my next post.

Until then,

The Sherpa

It happens every year, just like the swallows returning to San Juan Capistrano. A previously undistinguished hitter gets off to a fast start, and sportswriters speculate on whether a major league hitter will ever be able to hit .400 for an entire season again (I believe the answer is “no”, but that’s another topic for another day). If the same hitter were to hit .400 for 15 games in the middle of the season rather than at the beginning of the season, most of us would barely raise an eyebrow. However, due to what I referred to in a previous post as “Tuffy Rhodes Syndrome“, baseball fans tend to give a disproportionate amount of weight to events at the start of the season.

This year’s fast starters include A.J. Pierzynski (.421 as of this morning), Jason Kendall (.405), Angel Pagan (.385), Nate McLouth (.383), Luke Scott (.375), and Kurt Suzuki (.370). Obviously, none of these hitters will have a batting average anywhere near .400 when the season ends. But how many of them will finish with even a .300 average? Again, the answer could very well be zero.

So, how should you go about forecasting a batting average for the remainder of the season? Let’s use Pierzynski as an example. Suppose that going into the season you expected Pierzynski to hit .270 for the season. How should that expectation be combined with the .421 he’s hit through approximately the first 10% of the season? I’ve read a number of fantasy sportswriters’ articles on this subject, and their approaches usually fall into one of 2 categories: (1) expect Pierzynski to finish the season with his expected average of .270 (which implies that his average for the remaining 90% of the season will be .253); (2) expect Pierzynski to hit .270 for the rest of the season (which implies that his batting average for the season will be .285).

I disagree with both of these approaches. The first is an example of what statisticians refer to as the Gambler’s Fallacy, which means that (supposedly) independent events (such as future at-bats) are entirely dependent on past events. Andy Behrens, a very thought-provoking and entertaining fantasy sportswriter for Yahoo, had a great description of the Gambler’s Fallacy in a post he made yesterday. The second approach goes too far in the opposite direction, assuming that what a hitter has done season-to-date has zero predictive value in forecasting what he’s likely to do for the remainder of the season.

I suggest a third approach that combines what the hitter was expected to do with what the hitter has actually done in order to forecast what he’s likely to do for the remainder of the season. There are several possible weighting schemes, but for the sake of simplicity, I’ll go with a linear weighting scheme (i.e. - if the season is 10% complete, the hitter’s actual results should receive 10% weight, and his expected results should receive 90% weight). Applying this approach to the Pierzynski batting average example suggests that a reasonable forecast for Pierzysnki’s batting average for the rest of the season is .285 (which implies that his batting average for the season will be .299).

Some may still argue that .270 is a better forecast than .285. Let’s look at another example, this one from last season. If you expected Andruw Jones to hit .260 for the season, but he’s hitting just .211 at the All-Star break, would you still expect him to hit .260 for the remainder of the season? Probably not. Since the All-Star break occurs after roughly 55% of the season has been played, I would have forecast a rest-of-season average for Jones of .233 (= 55%*.211 + 45%*.260). Jones actually hit .236 for the rest of the season. I realize that one cherry-picked example doesn’t prove my argument, but hopefully, you get the idea.

How can you use this information to your advantage in your fantasy leagues? People often talk of wanting to “sell high and buy low” with respect to making early-season trades, but do you actually have the backbone required to do so? If so, congratulations - you’re probably well on your way to scooping up some above-average players at below-average prices. If not, re-read the above, pick some real-life examples from the current season, and follow them.

Others may have an easier time selling high on a fast-starting player than buying low on a slow-starting player. Who are some of this year’s “slow starters” who may be ideal buy-low candidates? C.C. Sabathia and Roy Oswalt come to mind immediately on the pitching side, while Carl Crawford, Alfonso Soriano, Robinson Cano, and Ryan Braun are among the hitters off to sub-par starts. A savvy team owner will rebuff your attempts to trade for one of these players, but some may be willing to part with these players for a below-market offer.

I’ll leave you with an example I witnessed last season. A friend had Alex Rodriguez on his team, but was struggling in the pitching categories. His league required that all trades be balanced from a position standpoint (i.e. - you couldn’t trade a Third Baseman straight up for a Pitcher). In late May/early June he took advantage of a fellow owner’s willingness to sell low on Garrett Atkins and buy high on the fast-starting Boof Bonser, trading A-Rod and Boof Bonser in exchange for Garrett Atkins and Johan Santana. As you might expect, my friend was able to climb a number of places in his league’s standings after pulling off that trade.

Until next time,

The Sherpa