The Fantasy Baseball Sherpa

Hi everyone,

Here are the Top 10 performers through April for an NL-only 5×5 format.  The leader in each category is given 1.00 Sherpa Points; all other players’ scores in that category are based on their results relative to the category leader’s (e.g. - if the league-leader has hit 9 HR, then a player with 3 HR would be given a score of 0.33 Sherpa Points).  The maximum Total Sherpa Points is equal to the number of categories (i.e. - 5.00).

1. Albert Pujols (StL, 1B) - 83 AB, 8 HR, 28 RBI, 4 SB, .337 AVG, 22 R, 3.95 Total Sherpa Points
2. Johan Santana (NYM, SP) - 32.2 IP, 3 W, 0 SV, 1.10 ERA, 0.95 WHIP, 44 K, 3.38 Total Sherpa Points
3. Raul Ibanez (Phi, OF) - 78 AB, 7 HR, 17 RBI, 3 SB, .359 AVG, 20 R, 3.38 Total Sherpa Points
4. Adrian Gonzalez (SD, 1B) - 81 AB, 9 HR, 20 RBI, 1 SB, .333 AVG, 19 R, 3.26 Total Sherpa Points
5. Dan Haren (Ari, SP) - 35.0 IP, 2 W, 0 SV, 1.54 ERA, 0.74 WHIP, 36 K, 3.24 Total Sherpa Points
6. Chase Utley (Phi, 2B) - 73 AB, 7 HR, 20 RBI, 2 SB, .342 AVG, 18 R, 3.12 Total Sherpa Points
7. Jorge Cantu (Fla, 1B/3B) - 63 AB, 7 HR, 22 RBI, 1 SB, .365 AVG, 15 R, 3.01 Total Sherpa Points
8. Chad Billingsley (LAD, SP) - 33.2 IP, 4 W, 0 SV, 2.14 ERA, 1.01 WHIP, 34 K, 3.00 Total Sherpa Points
9. Alfonso Soriano (ChC, OF) - 88 AB, 7 HR, 14 RBI, 4 SB, .284 AVG, 21 R, 2.86 Total Sherpa Points
10. Manny Ramirez (LAD, OF) - 78 AB, 5 HR, 15 RBI, 0 SB, .372 AVG, 19 R, 2.81 Total Sherpa Points

If you’re interested in more details, here’s a description of our In-season Updates to Player Projections & Rankings.  These are the only rankings in the industry that are updated daily throughout the season - our Remainder-of-Season rankings reflect injuries, minor league call-ups, and role changes (e.g.- new Closers)! If you’d like to see the top performers by position, change the scoring categories, or change the league type, here’s a demo of our In-season Updates to Player Projections & Rankings.

Enjoy!

The Sherpa

FantasyBaseballSherpa.com

This is the fourth in a series of posts taking a look back at the top fantasy baseball performers for 2008. Today I’ll review the top 10 Pitchers using a 5×5 NL-only format. For the purposes of this analysis I’m including CC Sabathia’s Brewers’ stats only.

1. Tim Lincecum (Preseason rank was 23) - SF, SP

• Actual stats: 227 IP, 18 W, 0 SV, 2.62 ERA, 1.17 WHIP, 265 K, 3.43 Sherpa Pts (out of a max of 5.00)
• Projected stats: 183 IP, 9 W, 0 SV, 4.28 ERA, 1.20 WHIP, 203 K, 1.73 Sherpa Pts

2. Johan Santana (1) - NYM, SP

• Actual stats: 234.1 IP, 16 W, 0 SV, 2.53 ERA, 1.15 WHIP, 206 K, 3.31 Sherpa Pts
• Projected stats: 224 IP, 15 W, 0 SV, 3.17 ERA, 1.03 WHIP, 237 K, 4.00 Sherpa Pts

3. Cole Hamels (7) - PHI, SP

• Actual stats: 227.1 IP, 14 W, 0 SV, 3.09 ERA, 1.08 WHIP, 196 K, 3.01 Sherpa Pts
• Projected stats: 187 IP, 12 IP, 0 SV, 3.75 ERA, 1.16 WHIP, 188 K, 2.44 Sherpa Pts

4. Brandon Webb (3) - ARI, SP

• Actual stats: 226.2 IP, 22 W, 0 SV, 3.30 ERA, 1.20 WHIP, 183 K, 2.80 Sherpa Pts
• Projected stats: 231 IP, 14 W, 0 SV, 3.23 ERA, 1.19 WHIP, 182 K, 3.23 Sherpa Pts

5. Dan Haren (6) - ARI, SP

• Actual stats: 216 IP, 16 W, 0 SV, 3.33 ERA, 1.13 WHIP, 206 K, 2.76 Sherpa Pts
• Projected stats: 215 IP, 13 W, 0 SV, 3.64 ERA, 1.21 WHIP, 176 K, 2.56 Sherpa Pts

6. Ryan Dempster (106) - ChC, SP

• Actual stats: 206.2 IP, 17 W, 0 SV, 2.96 ERA, 1.21 WHIP, 187 K, 2.64 Sherpa Pts
• Projected stats: 80 IP, 6 W, 0 SV, 4.50 ERA, 1.40 WHIP, 70 K, 0.53 Sherpa Pts

7. Ricky Nolasco (N/A - didn’t even have him in my preseason database!) - FLA, SP

• Actual stats: 212.1 IP, 15 W, 0 SV, 3.52 ERA, 1.10 WHIP, 186 K, 2.60 Sherpa Pts
• Projected stats: N/A

8. CC Sabathia (1 in A.L.) - MIL, SP

• Actual stats: 130.2 IP, 11 W, 0 SV, 1.65 ERA, 1.00 WHIP, 128 K, 2.58 Sherpa Pts
• Projected stats: 227 IP, 15 W, 0 SV, 3.49 ERA, 1.17 WHIP, 196 K, 3.78 Sherpa Pts

9. Derek Lowe (16) - LAD, SP

• Actual stats: 211 IP, 14 W, 0 SV, 3.24 ERA, 1.13 WHIP, 147 K, 2.46 Sherpa Pts
• Projected stats: 207 IP, 13 W, 0 SV, 3.87 ERA, 1.26 WHIP, 138 K, 2.00 Sherpa Pts

10. Ben Sheets (28) - MIL, SP

• Actual stats: 198.1 IP, 13 W, 0 SV, 3.09 ERA, 1.15 WHIP, 158 K, 2.41 Sherpa Pts
• Projected stats: 137 IP, 8 W, 0 SV, 3.88 ERA, 1.16 WHIP, 121 K, 1.58 Sherpa Pts

Ricky Nolasco was obviously a complete surprise to me, and Ryan Dempster wasn’t far behind. In theory Strikeouts and WHIP should be easier to predict than ERA, Wins, and Saves (since the latter group are more a function of randomness and factors beyond a Pitcher’s direct control), but those predictions aren’t always the most accurate in practice. Dividing the Sherpa Pts by the IP gives a decent indicator of the overall accuracy of the initial projection compared to the actual results.

You’ll also note that only 4 of the Pitchers listed above were in my preseason top 10 list. Who were the other six, and how did they fare? I’m glad you asked!

12. Jake Peavy (2) - SD, SP

• Actual stats: 173.2 IP, 10 W, 0 SV, 2.85 ERA, 1.18 WHIP, 166 K, 2.17 Sherpa Pts
• Projected stats: 216 IP, 14 W, 0 SV, 3.17 ERA, 1.11 WHIP, 230 K, 3.62 Sherpa Pts

11. Roy Oswalt (4) - HOU, SP

• Actual stats: 208.2 IP, 17 W, 0 SV, 3.54 ERA, 1.18 WHIP, 165 K, 2.33 Sherpa Pts
• Projected stats: 224 IP, 14 W, 0 SV, 3.21 ERA, 1.25 WHIP, 166 K, 2.93 Sherpa Pts

99. John Smoltz (5) - ATL, SP

• Actual stats: 28 IP, 3 W, 0 SV, 2.57 ERA, 1.18 WHIP, 36 K, 0.48 Sherpa Pts
• Projected stats: 185 IP, 13 W, 0 SV, 3.41 ERA, 1.17 WHIP, 166 K, 2.68 Sherpa Pts

98. Aaron Harang (8) - HOU, SP

• Actual stats: 184.1 IP, 6 W, 0 SV, 4.78 ERA, 1.38 WHIP, 153 K, 0.52 Sherpa Pts
• Projected stats: 222 IP, 13 W, 0 SV, 3.89 ERA, 1.21 WHIP, 200 K, 2.44 Sherpa Pts

60. Chris Young (9) - SD, SP

• Actual stats: 102.1 IP, 7 W, 0 SV, 3.96 ERA, 1.29 WHIP, 93 K, 0.85 Sherpa Pts
• Projected stats: 185 IP, 13 W, 0 SV, 3.41 ERA, 1.17 WHIP, 166 K, 2.68 Sherpa Pts

132. Rafael Soriano (10) - ATL, RP

• Actual stats: 14 IP, 0 W, 3 SV, 2.57 ERA, 1.14 WHIP, 16 K, 0.24 Sherpa Pts
• Projected stats: 74 IP, 3 W, 34 SV, 2.80 ERA, 0.95 WHIP, 76 K, 2.28 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 continue this series with a look at the 2008 top 10 Hitters in an AL-only 5×5 format as time permits.

Until next time,

The Sherpa

This entry is the second in a series of posts taking a look back at the top fantasy baseball performers for 2008. Today I’ll continue with the top 10 Pitchers using a 5×5 mixed league format.

1. Roy Halladay (Preseason rank was 6) - TOR, SP
   • Actual stats: 246 IP, 20 W, 0 SV, 2.78 ERA, 1.05 WHIP, 206 K, 3.59 Sherpa Pts (out of a max of 5.00)
   • Projected stats: 208 IP, 13 W, 0 SV, 3.42 ERA, 1.14 WHIP, 134 K, 2.78 Sherpa Pts
2. CC Sabathia (4) - CLE/MIL, SP
   • Actual stats: 253 IP, 17 W, 0 SV, 2.70 ERA, 1.11 WHIP, 251 K, 3.46 Sherpa Pts
   • Projected stats: 227 IP, 15 W, 0 SV, 3.49 ERA, 1.17 WHIP, 196 K, 3.14 Sherpa Pts
3. Cliff Lee (298) - CLE, SP
   • Actual stats: 223.1 IP, 22 W, 0 SV, 2.54 ERA, 1.11 WHIP, 170 K, 3.33 Sherpa Pts
   • Projected stats: 50 IP, 3 W, 0 SV, 4.68 ERA, 1.36 WHIP, 33 K, 0.26 Sherpa Pts
4. Tim Lincecum (50) -SF, SP
   • Actual stats: 227 IP, 18 W, 0 SV, 2.62 ERA, 1.17 WHIP, 265 K, 3.32 Sherpa Pts
   • Projected stats: 183 IP, 9 W, 0 SV, 4.28 ERA, 1.20 WHIP, 203 K, 1.85 Sherpa Pts
5. Johan Santana (1) - NYM, SP
   • Actual stats: 234.1 IP, 16 W, 0 SV, 2.53 ERA, 1.15 WHIP, 206 K, 3.18 Sherpa Pts
   • Projected stats: 224 IP, 15 W, 0 SV, 3.17 ERA, 1.03 WHIP, 237 K, 4.00 Sherpa Pts
6. Cole Hamels (21) - PHI, SP
   • Actual stats: 227.1 IP, 14 W, 0 SV, 3.09 ERA, 1.08 WHIP, 196 K, 2.88 Sherpa Pts
   • Projected stats: 187 IP, 12 W, 0 SV, 3.75 ERA, 1.16 WHIP, 188 K, 2.50 Sherpa Pts
7. Brandon Webb (3) - ARI, SP
   • Actual stats: 226.2 IP, 22 W, 0 SV, 3.30 ERA, 1.20 WHIP, 183 K, 2.74 Sherpa Pts
   • Projected stats: 231 IP, 14 W, 0 SV, 3.23 ERA, 1.19 WHIP, 182 K, 3.23 Sherpa Pts
8. Dan Haren (8) - ARI, SP
   • Actual stats: 216 IP, 16 W, 0 SV, 3.33 ERA, 1.13 WHIP, 206 K, 2.68 Sherpa Pts
   • Projected stats: 215 IP, 13 W, 0 SV, 3.64 ERA, 1.21 WHIP, 176 K, 2.62 Sherpa Pts
9. Ervin Santana (249) - LAA, SP
   • Actual stats: 219 IP, 16 W, 0 SV, 3.49 ERA, 1.12 WHIP, 214 K, 2.67 Sherpa Pts
   • Projected stats: 140 IP, 9 W, 0 SV, 5.21 ERA, 1.42 WHIP, 108 K, 0.42 Sherpa Pts
10. Ryan Dempster (198) - ChC, SP
    • Actual stats: 206.2 IP, 17 W, 0 SV, 2.96 ERA, 1.21 WHIP, 187 K, 2.56 Sherpa Pts
    • Projected stats: 80 IP, 6 W, 0 SV, 4.50 ERA, 1.40 WHIP, 70 K, 0.59 Sherpa Pts

The most interesting observation from my perspective - the relative difficulty in projecting W, ERA and WHIP vs. projecting Ks, and the number of Pitchers who seemingly came out of nowhere (i.e. - Lee, Ervin Santana, and Dempster). Injuries obviously impact the actual rankings (see John Smoltz and J.J. Putz below), but so do incorrect initial estimates regarding Innings Pitched. Dividing the Sherpa Pts by the IP 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 Pitchers listed above were in my preseason top 10 list. Who were the other five, and how did they fare? I’m glad you asked!

21. Jake Peavy (2) - SD, SP

• Actual stats: 173.2 IP, 10 W, 0 SV, 2.85 ERA, 1.18 WHIP, 166 K, 2.11 Sherpa Pts
• Projected stats: 216 IP, 14 W, 0 SV, 3.17 ERA, 1.11 WHIP, 230 K, 3.62 Sherpa Pts

16. Roy Oswalt (5) - HOU, SP

• Actual stats: 208.2 IP, 17 W, 0 SV, 3.54 ERA, 1.18 WHIP, 165 K, 2.27 Sherpa Pts
• Projected stats: 224 IP, 14 W, 0 SV, 3.21 ERA, 1.25 WHIP, 166 K, 2.93 Sherpa Pts

188. John Smoltz (7) - ATL, SP

• Actual stats: 28 IP, 3 W, 0 SV, 2.57 ERA, 1.18 WHIP, 36 K, 0.47 Sherpa Pts
• Projected stats: 185 IP, 13 W, 0 SV, 3.41 ERA, 1.17 WHIP, 166 K, 2.70 Sherpa Pts

150. J.J. Putz (9) - SEA, RP

• Actual stats: 46.1 IP, 6 W, 15 SV, 3.89 ERA, 1.60 WHIP, 56 K, 0.63 Sherpa Pts
• Projected stats: 71 IP, 3 W, 33 SV, 2.41 ERA, 0.89 WHIP, 79 K, 2.32 Sherpa Pts

14. Mariano Rivera (10) - NYY, RP

• Actual stats: 70.2 IP, 6 W, 39 SV, 1.40 ERA, 0.67 WHIP, 77 K, 2.33 Sherpa Pts
• Projected stats: 74 IP, 3 W, 41 SV, 2.68 ERA, 1.03 WHIP, 70 K, 2.31 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 continue this series with a look at the 2008 top 10 Hitters in an NL-only 5×5 format as time permits.

Until next time,

The Sherpa

An old baseball cliche describes the season as “a marathon, not a sprint”, and for most of the season, that comparison is appropriate. The baseball season has 26 weeks, a marathon is just over 26 miles, and surviving both requires a combination of pacing and persistence.

However, that comparison goes out the window in the final week of the baseball season for those managing a fantasy baseball team. With just a handful of games left on the schedule, there’s no time left to “pace yourself”. Those in head-to-head leagues are slugging it out for the league championship, a consolation round, or just for pride. Those in rotisserie leagues are scouring the standings, looking for opportunities to eke out a final precious point or two.

Regardless of which format your league uses, here are some helpful tips to keep in mind heading into the final week of the season:

1. Beware of injuries, especially to star players. If you still have the likes of Hideki Matsui, Carlos Guillen, or Yunel Escobar in your lineup (just to name a few), remove them from your lineup immediately! Don’t expect the Marlins to rush Hanley Ramirez back either. Teams will often shut down injured players early, especially if they’re out of the standings. Don’t get stuck with one of them in your lineup for the last week, or you may spend the entire off-season regretting it.
2. Maximize Games Played and Innings Pitched. If you’re trying to decide between two players of roughly similar ability for a spot in your final week’s lineup, remember to consider any differences in games played. Manny Ramirez may post better fantasy numbers over the course of a season than Carlos Beltran, but if the Mets play seven games in the final week of the season and the Dodgers play six, I’d go with Beltran in leagues that require you to set your lineup at the beginning of the week. The same goes for Middle Relievers and Closers.
3. Be careful in selecting 2-start Pitchers. Johan Santana is listed as a two-start pitcher this week. That means he has to be in your weekly lineup, right? Maybe not. Of course, I’d still rather have one start from Johan Santana than two starts from most pitchers in the league. However, if I’m chasing Wins or Strikeouts at this point and am fairly locked into a place in the ERA and WHIP categories, I’d be looking for other options. If the Mets are already locked into a playoff spot (either as the division winner or the wild card) heading into the weekend, there’s a good chance they’ll skip Santana’s second start so that he’ll be available to pitch twice in a five-game playoff series. Remember, MLB teams could care less about how their decisions impact our fantasy rosters!
4. Keep up to date on recent Closer changes. Maybe the other owners in your league have stopped paying attention if they’re no longer in contention. Maybe the other owners are all happy with their current Closers. Whatever the reason, check to see whether recently annointed Closers such as Chad Qualls and Matt Lindstrom are available in your league.
5. Assume that playoff-bound teams will rest players. It’s a safe bet that teams like the Cubs and Angels will go easy on their Starting Pitchers and give their everyday players at least one or two games off during the last week of the season since they have nothing to play for. Since both these teams have seven games this week, I wouldn’t count on the everyday players starting more than five games.
6. Start players on teams that still have something to play for. The Mets are Exhibit A here, since they’re still in the running for both their division crown and the NL wild card. The Diamondbacks are another team with 7 games this week that still has something to play for. Although the Brewers have just 6 games this week, the Mets’ bullpen figures to keep them in the wild card race at least until the start of the weekend. The White Sox/Twins race will likely be decided before the weekend, as will the Rays/Red Sox race, so expect those teams to rest players once the races are decided.
7. Watch for other fantasy teams’ discards. The final week of the season usually gives rise to some interesting, if not downright questionable moves on the part of fantasy team owners. The vast majority of these moves are not the result of collusion; rather, they are the result of fantasy team owners assessing which categories they can still make up ground in, then acting on that assessment. However, this can create some great opportunities for the vigilant owner. Perhaps another team has dropped a Stolen Base guy or two (e.g. Willy Taveras, Michael Bourn) in an effort to pick up a few more Home Runs the last week of the season. If you need Stolen Bases, be prepared to pounce.

Good luck the rest of the way!

The Sherpa

In this post I’ll take a look at the Top 10 Pitchers (both year-to-date and for the rest of the season) in a standard mixed league format (i.e. - Pitching categories are Wins, Saves, Strikeouts, ERA, and WHIP). 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 Pitchers’ 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 15 Wins, a Pitcher with 10 Wins would receive a score of .67, a Pitcher with 5 Wins would receive a score of .33, etc. For average-based categories (e.g. - ERA and WHIP) a proxy statistic is used. Pitchers’ Sherpa Points scores in each individual category are added to calculate the Total Sherpa Points.

Top 10 Pitchers Year-to-Date

1. Cliff Lee - 3.60 (Remainder-of-Season forecast = 2.48 Sherpa Points, which ranks 18th overall)
2. Roy Halladay - 3.45 (3.68, 2nd)
3. Dan Haren - 3.39 (3.59, 3rd)
4. CC Sabathia - 3.22 (3.69, 1st)
5. Brandon Webb - 2.94 (3.25, 5th)
6. Justin Duchscherer - 2.93 (2.61, 13th)
7. Cole Hamels - 2.93 (2.96, 8th)
8. Tim Lincecum - 2.84 (2.44, 19th)
9. Ben Sheets - 2.67 (2.52, 17th)
10. Ervin Santana - 2.66 (2.03, 36th)

Top 10 Pitchers for Remainder of Season

1. CC Sabathia - 3.69 (Year-to-Date score = 3.22 Sherpa Points, which ranks 4th)
2. Roy Halladay - 3.68 (3.45, 2nd)
3. Dan Haren - 3.59 (3.39, 3rd)
4. Johan Santana - 3.35 (2.32, 16th)
5. Brandon Webb - 3.25 (2.94, 5th)
6. Jake Peavy - 3.25 (2.16, 22nd)
7. John Lackey - 3.13 (1.88, 34th)
8. Cole Hamels - 2.96 (2.93, 7th)
9. Mariano Rivera - 2.83 (2.33, 15th)
10. James Shields - 2.69 (2.27, Tied for 17th)

As you would expect, there’s more of a difference between the Year-to-Date and Remainder-of-Season results for Pitchers than there is for Hitters. While hitting stats are somewhat team dependent (e.g. - RBI, Runs Scored), a Pitcher’s Wins are much more team dependent, which makes them more difficult to predict accurately.

In my next post I’ll take a look at the Top 10 Hitters in an AL-only format.

Until then,

The Sherpa

In my previous post I ranked the Top 10 Year-to-Date 5×5 Mixed League Hitters for the first quarter of the season. In this post I’ll do the same for Pitchers. The Sherpa Point system gives each Pitcher a score ranging from 0 to 1.00 in each of the 5 standard pitching categories (W, SV, K, ERA, WHIP). Essentially, the league leader in each category is given a score of 1.00, while all other Pitchers’ scores in that category are calculated as the ratio of their result to the league leader’s result.

For example, if Brandon Webb leads the league with 9 Wins, he gets a Sherpa Point score of 1.00 in the Wins category; a Pitcher with 6 Wins gets a score of 0.67; a Hitter with 3 Wins gets a score of 0.33, etc. A proxy statistic is used for average-based categories (e.g. - ERA, WHIP, K/BB, K/9).

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

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

1. Cliff Lee 3.34 (Preseason Projection was 0.26)
2. Brandon Webb 3.03 (3.23)
3. Cole Hamels 2.92 (2.50)
4. Edinson Volquez 2.77 (0.13)
5. Shaun Marcum 2.66 (0.93)
6. Tim Lincecum 2.59 (1.85)
7. Ervin Santana 2.50 (0.42)
8. Ryan Dempster 2.48 (0.59)
9. Carlos Zambrano 2.36 (2.34)
10. Daisuke Matsuzaka 2.34 (2.13)

Yes, it’s early, but even at this stage in the season it’s obvious that my Preseason Projections for Cliff Lee (50 IP, 3 Wins, 4.68 ERA, and 1.43 WHIP) were just a bit off. The Innings Pitched projection is obviously the driver - based on his performance the last 3 years, I didn’t believe he’d stick in the Indians’ rotation this year. Live and learn!

Webb and Hamels were in my Preseason Top 10, while Zambrano (13th), Matsuzaka (29th), and Lincecum (41st) all made my Preseason Top 50. However, the other 5 Pitchers on this list can all safely be termed “surprises”; I’ll venture a guess that if you have 2 or more of them on your roster (entirely possible), you’re probably sitting near the top of your league’s pitching standings.

Many notable names are missing from this list: Johan Santana (2.17 vs. Preseason Projection of 4.00); Jake Peavy (2.13 vs. 3.62); C.C. Sabathia (0.76 vs. 3.14); Roy Oswalt (0.61 vs 2.93); John Smoltz (1.41 vs. 2.70); Dan Haren (2.24 vs. 2.62); Aaron Harang (1.96 vs. 2.53); Erik Bedard (1.30 vs. 2.47). Just in case you’re curious, Jonathan Papelbon (1.89 vs 2.27), who ranks 24th Year-to-Date is the highest-ranked Closer; J.J. Putz (0.49 vs 2.32) was the highest-rated Closer (15th) in my Preseason Projections.

There is still plenty of time left for the Cliff Lees and the Ryan Dempsters to regress towards their expected values, and there’s plenty of time left for the C.C. Sabathias and Roy Oswalts to pitch the way most experts expected them to. I’ll be updating these rankings and comparisons for both Hitters and Pitchers periodically throughout the season.

Of course, lists like these are all well and good, but they don’t answer the obvious follow-up question: what should you expect these Hitters and Pitchers to do for the rest of the season?

I’ll begin to answer that question in a series of posts beginning early next week.

Until then,

The Sherpa

Every fantasy baseball owner dreams of “discovering” the next Johan Santana or Jake Peavy before the rest of their leaguemates. However, many owners forget that for every Cole Hamels who bursts onto the fantasy scene and makes an immediate and lasting impact, there are many more pitchers like Homer Bailey and Phil Hughes, who disappoint their owners when their initial successes are tempered, if not outweighed altogether, by their struggles.

This season has been no exception. Johnny Cueto looked like the second coming of Bob Gibson in his first two starts; lately, he has looked more like the second coming of Kei Igawa, serving up in-game batting practice for his opponents’ hitting pleasure. Cueto will most likely be sent back to the minors shortly to gain some much-needed experience. Nick Adenhart has already been banished back to the minors after just three awful starts.

Meanwhile, this year’s early-season pitching surprises include below-the-radar types such as Edinson Volquez, Greg Smith, Dana Eveland, John Danks, Garrett Olson, and Vicente Padilla. What, if anything, do they all have in common? All except for Smith had MLB experience prior to this year. All except for Olson have switched organizations at least once in their career. All of them have made at least 10 starts in AAA. All of them are 23-24 years old, except for Padilla, who is 30.

Which of the pitchers in this group have the best chance at sustaining their success over the course of the season? I looked at Year-to-Date stats for all MLB starting pitchers, searching for those who have started at least 3 games, have a K/9 rate of at least 6, and a K/BB ratio of at least 2. I also looked at Batting Average Against on Balls in Play (BAABIP) to see whether “luck” played a factor in a pitcher’s success (or lack thereof). These screening criteria suggest that Volquez and Danks have the best chance at remaining successful, with Olson also being a possibility.

These criteria also turned up some veteran pitchers who may still be available in your league. Bronson Arroyo is off to an atrocious start due to a combination of bad luck (a .357 BAABIP) and a severe case of gopheritis (1.8 HRs allowed per 9 innings pitched). However, his 3-year averages suggest that he is a much better pitcher than that - if you have space on your bench, I would definitely take a flier on Arroyo rather than burn my waiver priority or Free Agent Acquisition Budget (FAAB) dollars on Clayton Kershaw, who has not pitched even a single game at the AAA level yet. If you’re going to gamble on an unproven pitcher currently in the minors, you’re far better off betting on Homer Bailey (the sequel) than you are putting your fantasy chips on Kershaw.

Other veterans who should do more for your fantasy staff than the likes of Darrell Rasner, Aaron Laffey, et. al. - Chad Gaudin (when, not if, he rejoins Oakland’s rotation); Wandy Rodriguez, Jason Schmidt, Kevin Milwood, and Curt Schilling (when they return from the DL). I’d also take a chance on Hong-Chih Kuo if he joins the Dodgers’ rotation. Shawn Hill and Jose Contreras are two other options to consider if you currently have holes in your pitching staff. Don’t get me wrong - none of the pitchers on this list will be receiving Cy Young votes this season, but they all have the potential to be serviceable starters at the back of your fantasy team’s rotation.

However, keep in mind that experience is not always an advantage - if you want to add Livan Hernandez, Matt Chico, or Sidney Ponson to your fantasy pitching staff, you do so at your own peril - they are definitely the fantasy baseball equivalents of the Trojan horse, and you will get no sympathy from me if you choose to add any of them!

Until next time,

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