After discovering on Monday that K% and BB% are indeed meaningful for pitchers during spring training, I looked at which starters might see a better K% than initially projected given their spring performance. Today I look at the opposite end of the coin, those who are in for a potential decline in their K% based on what they have done in the spring so far. Again, I compared their spring K% to their Steamer projected K% and looked at the largest differences on the negative end of the spectrum.

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On Monday with the help of Matt Swartz, I determined that spring training statistics are not completely meaningless after all. Strikeout percentage (K%) and walk percentage (BB%) should indeed be taken into consideration when projecting the upcoming season.

With that in mind, it may be possible to get a foreshadowing of who the breakout and bust pitchers are for the year. Today I decided to look at the 10 pitchers whose spring K% is the most different from their Steamer projection, as in, their spring K% is much higher than the projection. I used Steamer because it has become my favorite pitching projection system and performed the best in the latest round of tests between systems.

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As stat geeks, we are quick to tell less nerdy baseball fans that spring training stats mean nothing. Whether it’s the tiny sample size, the varying level of competition, the experimenting with new pitches/mechanics/stances etc, there is a ton of noise clouding the data. Even with the obvious explanations, there have still been studies performed to determine whether spring stats have any significance. Sure enough, historical studies have confirmed that spring training stats have limited value.

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We have a segment on the Fantasy Baseball Roundtable show called “Are You Crazy?”. The idea is to throw out a bold prediction and then the rest of the panelists debate whether the forecaster is crazy or not. We assume 20% as the baseline, meaning if there is a 20% chance of the prediction coming true, it is not crazy. On last night’s show, I stepped up to the plate and boldly predicted that Francisco Liriano would be a top 8 pitcher. However, for this post, I will be slightly less ballsy and go top 10. Now let me explain why there is at least a 20% chance of such insanity happening.

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You’ve read the consensus rankings, complained about them and have been no doubt counting down the minutes until the tiered rankings are released. Well, it’s your lucky day, as your final 2012 rankings sit below. Yes, my crystal ball is that good, it already knows how the season will play out.

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Yesterday afternoon, Royals closer Joakim Soria left the game with a sore right elbow. But this doesn’t sound like any sore elbow as a result of just shaking off some spring training rust and he’ll be fine in a couple of days. This appears more ominous. His performance this spring certainly backs up the fact that he has been pitching injured, as he has now allowed 7 runs and 10 hits in just 3 1/3 innings. Of course, it’s a tiny sample size and typically should be ignored. But when elbow soreness is involved, we have to take that performance more seriously.

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Yesterday, I made some bold predictions for the league leaders in the five fantasy hitting categories. Today, I check in on the pitching side of the ledger with some equally crazy forecasts.

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My crystal ball doesn’t just see the future of random players and how it relates to fantasy leagues. It also knows who will be leading the league in each 5×5 category! Who knew a crystal ball could be so valuable? I will now boldly unveil your 2012 hitting league leaders…

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You have read the rest of the staff’s bold predictions, now it’s finally time for the man who inspired them all to unveil his. Luckily, my crystal ball is the clearest it has ever been!

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I am foregoing my weekly AL starting pitcher post to hit on a more timely topic today. As you know, we have been unveiling our consensus rankings by position, and yesterday, we published the second sackers. As expected with any set of rankings from multiple people, there were many examples where our opinions diverged. Jose Altuve was one such player, so I thought it would be fitting to jump back onto the Pod hitter projections train and analyze my projection and how I got to that number nine ranking. In addition, if I find my ranking of a player is far off from the consensus, I then go back to my own projection to make sure I wasn’t unreasonably optimistic or pessimistic.

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