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

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 mixed 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. Lance Berkman - 3.59 (Remainder-of-Season forecast = 3.68 Sherpa Points, which ranks 2nd overall)
2. Ian Kinsler - 3.44 (3.22, 5th)
3. Josh Hamilton - 3.19 (2.76, 17th)
4. Hanley Ramirez - 3.16 (3.40, 4th)
5. Matt Holliday - 2.99 (3.64, 3rd)
6. Jose Reyes - 2.98 (3.07, 10th)
7. Ryan Braun - 2.96 (3.09, 8th)
8. Alex Rodriguez - 2.88 (3.84, 1st)
9. Chipper Jones - 2.84 (2.89, 15th)
10. David Wright - 2.82 (3.08, 9th) and Chase Utley - 2.82 (3.11, 7th).

Top 10 Hitters for Remainder of Season

1. Alex Rodriguez - 3.84 (Year-to-Date score = 2.88 Sherpa Points, which ranks 8th)
2. Lance Berkman - 3.68 (3.59, 1st)
3. Matt Holliday - 3.64 (2.99, 5th)
4. Hanley Ramirez - 3.40 (3.16, 4th)
5. Albert Pujols - 3.22 (2.80, 12th)
6. Ian Kinsler - 3.22 (3.44, 2nd)
7. Chase Utley - 3.11 (2.82, Tied for 10th)
8. Ryan Braun - 3.09 (2.96, 7th)
9. David Wright - 3.08 (2.82, Tied for 10th)
10. Jose Reyes - 3.07 (2.98, 6th)

It’s very interesting to see the majority of the Hitters appear in both lists, indicating that over the course of a 162-game season, the top Hitters are generally the ones you would have expected to see at the top of this list before the season began.

I’ll take a look at the Top 10 Mixed League Pitchers in my next post.

Until then,

The Sherpa

With just over 40% of the regular season remaining to be played, the 32 MLB teams now have a pretty idea of whether they will contend for a playoff spot this season. All of the contenders are looking for ways to upgrade their team in the weeks leading up to the July 31st trading deadline.

Most of the rumored acquisitions would represent incremental improvements rather than dramatic upgrades. However, there is one exception, the proverbial elephant in the room. Of course, that would be Barry Lamar Bonds, the all-time home run leader (until at least 2014-15, when Alex Rodriguez should assume that title, assuming he stays reasonably healthy and doesn’t suffer a dramatic drop-off in his production).

Many baseball insiders doubt that Bonds will play again, at least not this season. Bonds’ agent, Jeff Borris, recently voiced the opinion of many when he stated that his star client has been blacklisted by the baseball establishment. That may be due to Bonds’ age (he’ll be 44 next week), his inability to stay healthy/play in the outfield for extended periods of time, his ongoing legal entanglements related to alleged steroid and HGH use, his clubhouse demeanor, the accompanying media circus, or some combination of these factors. Whatever the reason(s), teams collectively feel that the distractions Bonds’ presence would create outweigh his remaining usefulness as a hitter (among all Hitters with at least 20 AB in 2007, Bonds led the majors with a .480 On Base Percentage!)

I may be in the minority, but I still firmly believe that the temptation of adding a hitter of Bonds’ stature to his lineup will prove too much to resist for some GM as the July 31st trading deadline nears, then passes. Someone will crack, break the glass, grab the jewels, and run. Of the 32 MLB teams, I believe there are 8 candidates to do just that:

1. Tampa Bay - Bonds would represent a huge upgrade over Jonny Gomes, Cliff Floyd, Eric Hinske, or anyone else the Rays may be tempted to trot out at DH. Besides, who could resist Tampa’s potential marketing slogan (”putting the Devil back in the Rays”)? Bonds would definitely inject life (and hopefully nothing else) into Tampa’s inconsistent offense.
2. NY Mets - far less likely because of Bonds’ assumed inability to play the outfield on a consistent basis. However, who would you rather have in left field 4-5 games per week - Bonds, Fernando Tatis, Nick Evans, Endy Chavez, or Angel Pagan?
3. Detroit - depending on how both Gary Sheffield’s body and the Tigers’ pitchers’ arms hold up, this could also be a good match.
4. Minnesota - signing Bonds would relegate either Jason Kubel or Michael Cuddyer to the bench.
5. Los Angeles Angels - less likely, because signing Bonds to DH would force Vlad Guerrero to play right field almost every day, which the Angels seem reluctant to do.
6. NY Yankees - Hideki Matsui may be out for the rest of the season, which would add to the offensive woes for the surprisingly run-challenged Bombers’ offense. However, with Jorge Posada, Johnny Damon, and Jason Giambi all needing to occupy the DH spot on occasion already, Bonds wouldn’t fit as well here as he would with some of the other teams further up the list.
7. Oakland - Frank Thomas and Mike Sweeney are already injured, so what’s the downside to adding Bonds? Sure, the A’s have a surplus of outfielder/DH types at this point (Exhibit A: Jack Cust). However, in an organization that places a high value on OBP and has surprisingly managed to stay within shouting distance of the Anemic Angels in spite of a “Who’s he?” pitching staff, Bonds may make sense.
8. Boston - Bonds is a logical replacement for the Red Sox if David Ortiz turns out to be less than fully recovered from his tendon sheath injury.

So, assuming that some GM soon does the “unthinkable”, what kind of stats should a fantasy team owner expect Bonds to produce over the last 2 months or so of the season? Here are my projections:

• 45 Games Played
• 148 At Bats
• 31 Runs
• 41 Hits
• 8 Doubles
• 0 Triples
• 11 Home Runs
• 29 Runs Batted In
• 44 Walks
• 22 Strikeouts
• .457 On Base Percentage
• .554 Slugging Percentage
• 1.011 On Base + Slugging Percentage

Would those kinds of stats pique your interest and help your fantasy team? I thought so. Unless you have moral qualms about owning Bonds, he’s definitely worth a speculative pick-up in your league right now if your rules permit, you have the roster space, and he’s available.

Go get him!

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

With just over a week gone in the 2008 baseball season the sky is officially falling. Those who drafted/bought C.C. Sabathia, Roy Oswalt, Jason Bay, J.J. Putz, Robinson Cano etc., are wondering why these players are off to lousy starts. Those who drafted/bought Johnny Cueto, Nate McLouth, Mark Reynolds, Livan Hernandez, Jason Kendall, Kerry Woods, etc., are congratulating themselves on their foresight. So, is your team doing as well as expected? If not, what should you do now?

Predictably, many fantasy baseball columnists are now churning out (or, more likely, recycling from last year) columns on how 10 games is too small a sample size to draw conclusions, how you shouldn’t make any panic moves, blah, blah, blah. The more adventurous (or less lazy) among them actually develop lists of players off to hot/cold starts and offer their expert opinions on which players will continue to over/underwhelm, and which ones will “regress to the mean”. Very little of this is helpful to you in your effort to manage your fantasy team, and unless you’re reading these pieces for entertainment purposes, you’re better off ignoring them.

Put it another way - if these same players had the same results over a 10 game stretch in July or August, would you notice? Assuming you did, would you be concerned enough to make a change to your roster? Probably not. Unfortunately, human nature being what it is, we generally give more weight to events that take place at the very beginning of the season (aka “Tuffy Rhodes Syndrome“) or at the very end of the season (aka “Tom Glavine Syndrome“).

So, is there any reason to consider making trades this early in the season? Some experts advise fantasy team owners to sit on their hands until at least the end of May before hitting the “Submit Trade” button unless your roster is decimated by an injury. I disagree. In addition to injuries, there are at least two other reasons to explore potential trades even this early in the season: (1) To shore up weak categories, and (2) To take advantage of another team owner’s desire to make quick and sweeping changes.

First, let me explain what I mean by shoring up weak categories. Do not judge which categories you’re weak in by the results of the first 10 days of the season. Rather, go back to the analysis you did on your team immediately following your draft/auction. Trust the instincts you had at that time over the reaction you currently have now that 10 games are in the books. Before a draft/auction I set a goal to assemble a team that can finish in the top third in every category. If I can achieve that kind of balance, there’s a good chance I’ll finish at the top of my league. Of course, trades, free agent acquisitions, and waiver claims are also necessary to maintain/improve your team during the course of the season, but without a good draft/auction, you’re digging yourself a deep hole that’s almost impossible to climb out of. Identify your post-draft/auction weaknesses and address them as soon as you are able.

Regarding the second reason to make trades at this point in the season, there’s at least one owner in every league who seems to panic and make an early-season trade that ultimately hurts their team more than it helps. Don’t let that be you! Case in point - last year I saw someone who panicked after Garrett Atkins got off to a slow start, then traded Atkins and Johan Santana for Alex Rodriguez and the overachieving Boof Bonser. Not surprisingly, the owner who received Atkins and Santana finished much higher in the standings at the end of the year.

Not every trade will be that one-sided, nor should it be. I obviously want my team to be better after a trade than it was before the trade; however, I don’t want the other owner to have buyer’s remorse to the point where they’d never want to trade with me again. Here are my recommendations in executing a trade, particularly early in the season:

1. Assess your roster’s strengths and weaknesses. The earlier you are in the season, the more weight you should be giving a player’s preseason projected performance vs. his actual season-to-date performance. Of course, you need to be mindful of injuries and role changes (e.g. - everyday players who lose their jobs, newly-minted Closers, etc.)
2. Assess your leaguemates’ rosters’ strengths and weaknesses. The obvious goal in doing so is to find several potential trading partners (not just one!) whose strengths match up well with your weaknesses, and vice versa.
3. Send out trade feelers without making formal proposals. Initiate contact with specific owners. One of my fantasy sports pet peeves is owners who update their “Trading Block” page with a list of the categories they’re weak in, followed by a list of the players they’re willing to trade in order to improve their team (usually their weakest players). Sorry, I’m not trading you A-Rod and Carlos Zambrano for Pedro Feliz and Jose Contreras. As with most other things in life, you’re much more likely to get what you want if you ask for it rather than wait for it to come to you.
4. Sort through the responses to your trade feelers, then make a specific proposal where it makes sense to do so. Most trade talks will die after the previous step. If you do identify an owner who seems interested in discussing matters further, throw out an initial proposal. This should not be your “best offer”, but it should be good enough that the other owner isn’t insulted and actually has to give your offer some serious thought. It’s fine to pursue this stage with multiple owners simultaneously, even if you’re offering the same player(s) to several of them.
5. Negotiate. Expect the other owner(s) to counter your initial proposal - that’s part of the game. Keep a sense of humor about this - after all, we’re talking about fantasy sports here, not a life and death matter!
6. Assess your options. After some finite period of time you’ll get a good sense of whether owners are willing to pull the trigger on a deal or not. Trust your instincts here too - if your potential trading partner is constantly hedging or stalling, you’re probably better off moving on. Compare the impact of a trade to the impact of adding a player through a free agent bid or waiver wire claim.
7. Decide. While it may seem like a waste of time to come this far, then decide not to complete a deal, it’s not. The adage “sometimes the best trades are the ones you don’t make” applies just as much in the fantasy sports world as it does in the professional sports world. At the very worst you’ll receive a more accurate read on how your fellow owners value your players, as well as how they value their own players. You may unknowingly be sowing the seeds for a future trade. If you decide to complete a deal, don’t look back! If the player you’ve just traded away hits three home runs in a game or pitches a complete game shutout, let it go. You’re making the trade for the rest of the season, not just for the next game or two.

Until next time,

The Sherpa

I’ve received several questions recently regarding how often I update the Preseason Player Projections & Rankings. Obviously, if I’m railing against inaccuracies in other sets of projections, then I don’t want to be sitting on an outdated set of projections myself. So, I do my best to update projected changes in playing time (due to transactions, injuries, and position battles) within 24 hours of when the relevant information becomes available. As we get closer to the end of Spring Training and teams finalize their Opening Day rosters, adhering to this 24-hour standard will become more challenging. However, in my mind at least, when you become my customer, you have a right to expect up-to-date information, and I’ll make every effort to keep that promise. If the volume of transactions makes that unfeasible, I will prioritize the updates based on the player’s projected “fantasy relevance” (i.e. - I would update projections for Alex Rodriguez or Johan Santana before I would updated projections for Brad Ausmus or Odalis Perez).

Here are some of the players whose projections I’ve updated within the last couple of days: John Lackey (reduced GP due to injury), Kyle Lohse (added to the database), Sergio Mitre (reduced GP due to injury), Rocco Baldelli (removed from the database), Casey Janssen (removed from the database), Horacio Ramirez (removed from the database), and Doug Mirabelli (removed from the database).

Good luck to those of you with a draft or auction this weekend!

The Sherpa