Originally posted on Fangraphs  |  Last updated 1/11/13
Table of Contents Here’s the table of contents for today’s edition of Daily Notes. 1. FAN Projection Targets: Basically Every Brewers Starter 2. Action GIF: Mark Rogers’ Slider 3. SCOUT Leaderboards: Australian Baseball League FAN Projection Targets: Basically Every Brewers Starter As is made apparent by the very recently released 2013 ZiPS projections for the Milwaukee Brewers, the starting rotation for said team contains a considerable amount of uncertainty — due either to a change of roles in the not-very-distant past (Marco Estrada, Mike Fiers) or injury (Chris Narveson, Mark Rogers). In situations like this, where information not included in the ZiPS algorithm might be of some import regarding a specific player, it’s possible that the Wisdom of the Crowds might have some advantage in producing an able projection for said player. To that end, the author encourages the readership to complete FAN Projection ballots for the following five pitchers — all candidates for Milwaukee’s rotation in 2013. Before casting a ballot, don’t forget this note from FanGraphs CEO and founder Appelman: Please note that everything this year is a rate stat. You’re projecting 2B+3B, HR, SB, and Fielding as a measure of 150 games (basically a full season). The player’s previous stats are shown per 150 games in the projection ballot too. This will make changing playing time projections much easier as you’ll only have to change the games played portion. Allez!: Player: Marco Estrada, 29, RHP 2012 Line: 138.1 IP, 9.30 K/9, 1.89 BB/9, 1.17 HR/9, 3.35 FIP at MLB Notes: Before 2012, only nine of Estrada’s 65 major-league appearances had been in a starting capacity. He flourished in that role last season, however, somehow parlaying his 90 mph fastball into one of the league’s best pitches by linear-weights. ¡Submit Projection for Marco Estrada! Player: Mike Fiers, 28, RHP 2012 Line: 127.2 IP, 9.52 K/9, 2.54 BB/9, 0.85 HR/9, 3.09 FIP at MLB Notes: Fiers’ profile is not wholly different from Estrada’s — at least insofar as neither is regarded as having excellent raw stuff, but both managed to post strikeout-to-walk ratios considerably over 3.0 in their first real and respective seasons as a starter. ¡Submit Projection for Mike Fiers! Player: Chris Narveson, 31, LHP 2012 Line: 9.0 IP, 5.00 K/9, 4.00 BB/9, 2.00 HR/9, 6.21 FIP at MLB Notes: After two entire serviceable years at the back end of Milwaukee’s rotation, Narveson missed basically all of 2012 with a tear of the rotator cuff — from surgery and rehabilitaion on which he’s experienced no setbacks and expected to be reader for spring training. ¡Submit Projection for Chris Narveson! Player: Mark Rogers, 27, RHP 2012 Line: 39.0 IP, 9.46 K/9, 3.23 BB/9, 1.15 HR/9, 3.81 FIP at MLB Notes: Joining the rotation after the departure of Zack Greinke to the Angels via trade, Rogers overcame a 2011 basically an entire career marred by injuries to post slightly above-average numbers in seven major-league starts. ¡Submit Projection for Mark Rogers! Player: Wily Peralta, 24, RHP 2012 Line: 29.0 IP, 7.14 K/9, 3.41 BB/9, 0.00 HR/9, 2.65 FIP at MLB Notes: A fixture near or at the top of Brewers prospect lists for four or so years now, Peralta made his major-league debut in 2012, making five starts in six total appearances during a strong second half for the team. ¡Submit Projection for Wily Peralta! Action GIF: Mark Rogers’ Slider Here’s a GIF (from a late-August piece on his entire repertoire) of Mark Rogers’ probably excellent slider: SCOUT Leaderboards: Australian Baseball League Below are the current SCOUT leaderboards for the Australian Baseball League. (Ages as of July 1st, 2012. Players listed with most recent team. Click here for more on what is SCOUT.) SCOUT Leaderboard: Australian Baseball League Hitters Below is the current SCOUT batting leaderboard for the Australian Baseball League. SCOUT+ is calculated using regressed home-run, walk, and strikeout rates, where 100 is average and above 100 is above average. Player Team Age Pos PA xHR% xBB% xK% SCOUT+ Adam Buschini IND 25 2B 136 4.1% 9.0% 15.2% 134 Chris Snelling N/A 30 RF 84 2.1% 16.9% 15.5% 133 Ji-Man Choi Mariners 21 1B 127 2.8% 13.4% 15.1% 132 Kody Hightower N/A 26 SS 143 2.4% 12.1% 10.9% 131 Mitch Dening IND 23 CF 148 2.7% 9.4% 8.9% 130 Trent D’Antonio N/A 26 3B 90 2.7% 12.1% 15.3% 126 Michael Ohlman Orioles 21 1B 138 3.1% 9.4% 15.6% 122 Nathan Melendres Mariners 22 CF 109 3.0% 8.7% 14.8% 120 Carlo Testa Royals 25 RF 154 2.3% 12.6% 17.5% 118 Angus Roeger N/A 22 RF 118 3.9% 11.8% 26.9% 116 SCOUT Leaderboard: Australian Baseball League Pitchers Below is the current SCOUT pitching leaderboard for the Australian Baseball League. SCOUT- is calculated using regressed strikeout and walk rates where 100 is average and below 100 is above average. Player Team Age G GS IP TBF xK% xBB% SCOUT- Chris Smith IND 23 9 9 50.2 194 33.6% 7.2% 49 Chris Oxspring N/A 35 10 10 66.2 277 27.1% 7.1% 68 Matthew Williams N/A 25 17 0 19.0 75 27.8% 8.8% 71 Sean Toler IND 25 17 0 19.1 83 26.7% 9.0% 75 James Schult IND 22 5 5 24.2 108 26.9% 9.3% 75 Anthony Claggett IND 27 10 10 60.1 251 23.9% 6.8% 77 Dustin Loggins IND 21 15 0 15.2 69 25.3% 9.6% 81 Zachary Arneson Yankees 23 14 0 16.0 58 24.7% 9.3% 82 Steve Kent N/A 23 11 0 11.2 48 24.0% 8.7% 82 Todd Van Steensel N/A 21 12 0 14.2 65 25.1% 9.9% 82 SCOUT Leaderboard: Australian Baseball League Pitchers (Starters) Here is the SCOUT pitching leaderboard for the Australian Baseball League, but only populated with pitchers who’ve made at least half of their appearances as starts. Player Team Age G GS IP TBF xK% xBB% SCOUT- Chris Smith IND 23 9 9 50.2 194 33.6% 7.2% 49 Chris Oxspring N/A 35 10 10 66.2 277 27.1% 7.1% 68 James Schult IND 22 5 5 24.2 108 26.9% 9.3% 75 Anthony Claggett IND 27 10 10 60.1 251 23.9% 6.8% 77 Brian Grening IND 27 10 10 66.1 269 21.2% 6.5% 84 Virgil Vasquez IND 30 9 9 61.2 254 21.7% 7.5% 85 Tim Atherton Twins 22 7 6 32.1 128 22.2% 8.1% 86 Chuck Lofgren IND 26 9 8 50.1 212 22.6% 9.1% 87 Hirotaka Koishi NPB 25 7 7 35.1 158 24.0% 10.5% 87 Adam Bright IND 27 5 4 24.1 102 22.2% 9.1% 88
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