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	<title>Milwaukee &#187; Omar Garcia</title>
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		<title>Age in the Minors: A Levels</title>
		<link>http://milwaukee.locals.baseballprospectus.com/2016/09/29/age-in-the-minors-a-levels/</link>
		<comments>http://milwaukee.locals.baseballprospectus.com/2016/09/29/age-in-the-minors-a-levels/#comments</comments>
		<pubDate>Thu, 29 Sep 2016 20:26:30 +0000</pubDate>
		<dc:creator><![CDATA[Nicholas Zettel]]></dc:creator>
				<category><![CDATA[Articles]]></category>
		<category><![CDATA[Alan Sharkey]]></category>
		<category><![CDATA[Angel Ortega]]></category>
		<category><![CDATA[Blake Allemand]]></category>
		<category><![CDATA[Brandon Diaz]]></category>
		<category><![CDATA[Carlos Belonis]]></category>
		<category><![CDATA[Clint Coulter]]></category>
		<category><![CDATA[Corey Ray]]></category>
		<category><![CDATA[David Denson]]></category>
		<category><![CDATA[Dustin Houle]]></category>
		<category><![CDATA[Elvis Rubio]]></category>
		<category><![CDATA[George Iskenderian]]></category>
		<category><![CDATA[Isan Diaz]]></category>
		<category><![CDATA[Jake Gatewood]]></category>
		<category><![CDATA[Jonathan Oquendo]]></category>
		<category><![CDATA[Jose Cuas]]></category>
		<category><![CDATA[Juan Ortiz]]></category>
		<category><![CDATA[Lucas Erceg]]></category>
		<category><![CDATA[Luis Aviles]]></category>
		<category><![CDATA[Malik Collymore]]></category>
		<category><![CDATA[Max McDowell]]></category>
		<category><![CDATA[Mitch Ghelfi]]></category>
		<category><![CDATA[Monte Harrison]]></category>
		<category><![CDATA[Omar Garcia]]></category>
		<category><![CDATA[Trent Clark]]></category>
		<category><![CDATA[Trey York]]></category>
		<category><![CDATA[Troy Stoke]]></category>
		<category><![CDATA[Tucker Neuhaus]]></category>
		<category><![CDATA[Wendell Rijo]]></category>

		<guid isPermaLink="false">http://milwaukee.locals.baseballprospectus.com/?p=6855</guid>
		<description><![CDATA[It&#8217;s easy to focus on the success stories of the 2016 Wisconsin Timber Rattlers and ignore the rough season endured by the 2016 Brevard County Manatees. The Milwaukee Brewers system really was split into two different prognoses this season, which provided an excellent reminder that work throughout a minor league system, even during a thus-successful [&#8230;]]]></description>
				<content:encoded><![CDATA[<p>It&#8217;s easy to focus on the success stories of the 2016 Wisconsin Timber Rattlers and ignore the rough season endured by the 2016 Brevard County Manatees. The Milwaukee Brewers system really was split into two different prognoses this season, which provided an excellent reminder that work throughout a minor league system, even during a thus-successful rebuild, can never be finished. Even though David Stearns made some moves to procure talent for the low minors, and now-Vice President of Scouting Ray Montgomery oversaw two solid drafts, some of that talent will not be to Class-A or Advanced A ball for another year or so. In the meantime, the Timber Rattlers showcased some of the strengths of recent drafts and trades, while the Manatees reminded Brewers fans that their system was in rough shape not too long ago.</p>
<p>Continuing age-based analysis of minor league statistics, the 2016 Midwest League could be the most interesting case yet. Unlike the Southern League or Pacific Coast League, the Midwest League featured a group of three different age levels with similar production, and two adjacent age groups that did not fall far. From age-21 to age-22 to age-23 players, Midwest League bats slashed .245 / .316 / .356, .249 / .318 / .352, and .247 / .317 / .353, respectively. On the outskirts, age-20 batted .249 / .307 / .367 while age-24 batted .252 / .315 / .333, giving the league an expansive middle ground of 345 players that can be judged by very similar production standards.</p>
<p>One might ask whether this reflects the nascent stages of minor league competition, perhaps where players may be closer to the same development curve, thereby exhibiting less stratification among minor league players. Perhaps Class-A is the first level at which &#8220;organizational lifers&#8221; emerge, or players hit their first professional ceiling and stick around for a year or two before heading to their next career. It would be worthwhile digging into a scouting explanation for this phenomenon, in order to see how the physical tools relate to the statistics; perhaps everyone (or almost everyone) at Class-A is still learning the strike zone, or pitch recognition, or some foundational trait that places the vast majority of players on the same level.</p>
<table border="1" width="100%" cellspacing="0" cellpadding="0">
<tbody>
<tr bgcolor="#EDF1F3">
<th align="center">2016 Midwest</th>
<th align="center">#</th>
<th align="center">G / PA</th>
<th align="center">AB / H</th>
<th align="center">2B / 3B / HR</th>
<th align="center">SB / SBA</th>
<th align="center">K / BB</th>
<th align="center">AVG / OBP / SLG</th>
</tr>
<tr>
<td align="center">17</td>
<td align="center">1</td>
<td align="center">3 / 13</td>
<td align="center">12 / 2</td>
<td align="center">0 / 0 / 0</td>
<td align="center">0 / 0</td>
<td align="center">2 / 0</td>
<td align="center">.167 / .231 / .167</td>
</tr>
<tr>
<td align="center">18</td>
<td align="center">4</td>
<td align="center">312 / 1259</td>
<td align="center">1154 / 282</td>
<td align="center">61 / 4 / 19</td>
<td align="center">12 / 22</td>
<td align="center">300 / 80</td>
<td align="center">.244 / .295 / .354</td>
</tr>
<tr>
<td align="center">19</td>
<td align="center">24</td>
<td align="center">1554 / 6530</td>
<td align="center">5866 / 1511</td>
<td align="center">294 / 47 / 72</td>
<td align="center">154 / 253</td>
<td align="center">1304 / 505</td>
<td align="center">.257 / .317 / .361</td>
</tr>
<tr>
<td align="center">20</td>
<td align="center">45</td>
<td align="center">3020 / 12236</td>
<td align="center">11040 / 2744</td>
<td align="center">548 / 92 / 191</td>
<td align="center">296 / 466</td>
<td align="center">2948 / 883</td>
<td align="center">.249 / .307 / .367</td>
</tr>
<tr>
<td align="center">21</td>
<td align="center">92</td>
<td align="center">4454 / 17978</td>
<td align="center">15945 / 3912</td>
<td align="center">750 / 138 / 248</td>
<td align="center">409 / 602</td>
<td align="center">4088 / 1521</td>
<td align="center">.245 / .316 / .356</td>
</tr>
<tr>
<td align="center">22</td>
<td align="center">94</td>
<td align="center">5606 / 22396</td>
<td align="center">19849 / 4947</td>
<td align="center">934 / 142 / 272</td>
<td align="center">402 / 608</td>
<td align="center">4607 / 1920</td>
<td align="center">.249 / .318 / .352</td>
</tr>
<tr>
<td align="center">23</td>
<td align="center">93</td>
<td align="center">4578 / 18236</td>
<td align="center">16238 / 4016</td>
<td align="center">786 / 121 / 232</td>
<td align="center">344 / 526</td>
<td align="center">4024 / 1512</td>
<td align="center">.247 / .317 / .353</td>
</tr>
<tr>
<td align="center">24</td>
<td align="center">21</td>
<td align="center">908 / 3598</td>
<td align="center">3197 / 806</td>
<td align="center">156 / 14 / 25</td>
<td align="center">72 / 108</td>
<td align="center">686 / 279</td>
<td align="center">.252 / .315 / .333</td>
</tr>
<tr>
<td align="center">25</td>
<td align="center">7</td>
<td align="center">164 / 672</td>
<td align="center">597 / 162</td>
<td align="center">32 / 1 / 3</td>
<td align="center">12 / 19</td>
<td align="center">91 / 49</td>
<td align="center">.271 / .326 / .343</td>
</tr>
<tr>
<td align="center">26</td>
<td align="center">2</td>
<td align="center">59 / 211</td>
<td align="center">186 / 41</td>
<td align="center">9 / 0 / 0</td>
<td align="center">2 / 2</td>
<td align="center">47 / 21</td>
<td align="center">.220 / .299 / .269</td>
</tr>
<tr>
<td align="center">27</td>
<td align="center">2</td>
<td align="center">10 / 36</td>
<td align="center">32 / 5</td>
<td align="center">0 / 0 / 0</td>
<td align="center">1 / 2</td>
<td align="center">10 / 4</td>
<td align="center">.156 / .250 / .156</td>
</tr>
<tr>
<td align="center">34</td>
<td align="center">1</td>
<td align="center">5 / 13</td>
<td align="center">13 / 3</td>
<td align="center">1 / 0 / 0</td>
<td align="center">0 / 0</td>
<td align="center">1 / 0</td>
<td align="center">.231 / .231 / .308</td>
</tr>
</tbody>
</table>
<p>There are a number of notable bats that defined the Timber Rattlers in 2016. Isan Diaz produced one of the best seasons at the Class-A level, and although he did not win MVP, he certainly has the performance level worthy of consideration. Lucas Erceg also stormed the league out of the 2016 draft, demonstrating a completely different developmental stage (relatively polished college draftee) than Diaz. Along with Diaz and Erceg, several depth players produced interesting or good seasons, giving fans and writers more players to think about and watch during the 2017 campaign. Perhaps no one will be more interesting to follow than Monte Harrison, whose statistical line was damaged by a rough April and early-May, and whose hot streak was cut short by injury. Harrison has shown flashes of &#8220;putting it together,&#8221; so it will be crucial to see how he returns from injury.</p>
<table border="1" width="100%" cellspacing="0" cellpadding="0">
<tbody>
<tr bgcolor="#EDF1F3">
<th align="center">2016 Timber Rattlers</th>
<th align="center">Age (PA)</th>
<th align="center">AVG / OBP / SLG</th>
<th align="center">League Average</th>
<th align="center">Note</th>
</tr>
<tr>
<td align="center">Trent Clark</td>
<td align="center">19 (262)</td>
<td align="center">.231 / .346 / .344</td>
<td align="center">.257 / .317 / .361</td>
<td align="center">Fantastic BB% and ISO</td>
</tr>
<tr>
<td align="center">Isan Diaz</td>
<td align="center">20 (587)</td>
<td align="center">.264 / .358 / .469</td>
<td align="center">.249 / .307 / .367</td>
<td align="center">Potential MVP season in Midwest League</td>
</tr>
<tr>
<td align="center">Jake Gatewood</td>
<td align="center">20 (524)</td>
<td align="center">.240 / .268 / .391</td>
<td align="center">.249 / .307 / .367</td>
<td align="center">Plate approach questions but amazing power</td>
</tr>
<tr>
<td align="center">Troy Stokes</td>
<td align="center">20 (366)</td>
<td align="center">.268 / .358 / .395</td>
<td align="center">.249 / .307 / .367</td>
<td align="center">Under-the-radar system OF</td>
</tr>
<tr>
<td align="center">Monte Harrison</td>
<td align="center">20 (298)</td>
<td align="center">.221 / .294 / .337</td>
<td align="center">.249 / .307 / .367</td>
<td align="center">Brutal start hides pre-injury hot streak</td>
</tr>
<tr>
<td align="center">Jonathan Oquendo</td>
<td align="center">20 (76)</td>
<td align="center">.232 / .293 / .275</td>
<td align="center">.249 / .307 / .367</td>
<td align="center"></td>
</tr>
<tr>
<td align="center">Luis Aviles</td>
<td align="center">21 (493)</td>
<td align="center">.239 / .288 / .373</td>
<td align="center">.245 / .316 / .356</td>
<td align="center">K / BB questions but intriguing ISO</td>
</tr>
<tr>
<td align="center">Carlos Belonis</td>
<td align="center">21 (380)</td>
<td align="center">.255 / .293 / .314</td>
<td align="center">.245 / .316 / .356</td>
<td align="center"></td>
</tr>
<tr>
<td align="center">David Denson</td>
<td align="center">21 (373)</td>
<td align="center">. 231 / .327 / .378</td>
<td align="center">.245 / .316 / .356</td>
<td align="center">The discipline and power showed up!</td>
</tr>
<tr>
<td align="center">Lucas Erceg</td>
<td align="center">21 (180)</td>
<td align="center">.281 / .328 / .497</td>
<td align="center">.245 / .316 / .356</td>
<td align="center">Huge power showcase</td>
</tr>
<tr>
<td align="center">Juan Ortiz</td>
<td align="center">21 (111)</td>
<td align="center">.168 / .279 / .242</td>
<td align="center">.245 / .316 / .356</td>
<td align="center"></td>
</tr>
<tr>
<td align="center">Brandon Diaz</td>
<td align="center">21 (96)</td>
<td align="center">.174 / .253 / .267</td>
<td align="center">.245 / .316 / .356</td>
<td align="center"></td>
</tr>
<tr>
<td align="center">Elvis Rubio</td>
<td align="center">21 (67)</td>
<td align="center">.266 / .288 / .328</td>
<td align="center">.245 / .316 / .356</td>
<td align="center"></td>
</tr>
<tr>
<td align="center">Tucker Neuhaus</td>
<td align="center">21 (28)</td>
<td align="center">.370 / .393 / .519</td>
<td align="center">.245 / .316 / .356</td>
<td align="center"></td>
</tr>
<tr>
<td align="center">Corey Ray</td>
<td align="center">21 (16)</td>
<td align="center">.083 / .313 / .083</td>
<td align="center">.245 / .316 / .356</td>
<td align="center"></td>
</tr>
<tr>
<td align="center">Max McDowell</td>
<td align="center">22 (400)</td>
<td align="center">.270 / .359 / .345</td>
<td align="center">.249 / .318 / .352</td>
<td align="center"></td>
</tr>
<tr>
<td align="center">Alan Sharkey</td>
<td align="center">22 (258)</td>
<td align="center">.182 / .258 / .238</td>
<td align="center">.249 / .318 / .352</td>
<td align="center"></td>
</tr>
</tbody>
</table>
<hr />
<p>Down in Florida, the Brevard County club had a rough season, mostly due to the bats. This level lagged behind in the system during 2016, and unfortunately, even age-based statistics do not allow one to reconsider many gems.</p>
<table border="1" width="100%" cellspacing="0" cellpadding="0">
<tbody>
<tr bgcolor="#EDF1F3">
<th align="center">2016 Florida State</th>
<th align="center">#</th>
<th align="center">G / PA</th>
<th align="center">AB / H</th>
<th align="center">2B / 3B / HR</th>
<th align="center">SB / SBA</th>
<th align="center">K / BB</th>
<th align="center">AVG / OBP / SLG</th>
</tr>
<tr>
<td align="center">18</td>
<td align="center">1</td>
<td align="center">2 / 8</td>
<td align="center">8 / 1</td>
<td align="center">0 / 0 / 0</td>
<td align="center">0 / 0</td>
<td align="center">2 / 0</td>
<td align="center">.125 / .125 / .125</td>
</tr>
<tr>
<td align="center">19</td>
<td align="center">5</td>
<td align="center">122 / 540</td>
<td align="center">479 / 116</td>
<td align="center">20 / 3 / 4</td>
<td align="center">7 / 17</td>
<td align="center">103 / 51</td>
<td align="center">.242 / .311 / .322</td>
</tr>
<tr>
<td align="center">20</td>
<td align="center">18</td>
<td align="center">1061 / 4371</td>
<td align="center">3925 / 1008</td>
<td align="center">163 / 35 / 50</td>
<td align="center">95 / 146</td>
<td align="center">841 / 332</td>
<td align="center">.256 / .316 / .354</td>
</tr>
<tr>
<td align="center">21</td>
<td align="center">36</td>
<td align="center">2333 / 9209</td>
<td align="center">8300 / 1962</td>
<td align="center">340 / 47 / 106</td>
<td align="center">262 / 402</td>
<td align="center">1931 / 672</td>
<td align="center">.236 / .297 / .327</td>
</tr>
<tr>
<td align="center">22</td>
<td align="center">56</td>
<td align="center">3114 / 12527</td>
<td align="center">11126 / 2777</td>
<td align="center">519 / 85 / 188</td>
<td align="center">242 / 352</td>
<td align="center">2388 / 1044</td>
<td align="center">.250 / .318 / .362</td>
</tr>
<tr>
<td align="center">23</td>
<td align="center">82</td>
<td align="center">4300 / 17070</td>
<td align="center">15241 / 385</td>
<td align="center">675 / 107 / 249</td>
<td align="center">307 / 466</td>
<td align="center">3435 / 1440</td>
<td align="center">.253 / .320 / .360</td>
</tr>
<tr>
<td align="center">24</td>
<td align="center">50</td>
<td align="center">2601 / 10427</td>
<td align="center">9107 / 2289</td>
<td align="center">418 / 68 / 179</td>
<td align="center">215 / 308</td>
<td align="center">2083 / 1029</td>
<td align="center">.251 / .333 / .371</td>
</tr>
<tr>
<td align="center">25</td>
<td align="center">28</td>
<td align="center">907 / 3577</td>
<td align="center">3132 / 797</td>
<td align="center">116 / 15 / 48</td>
<td align="center">100 / 135</td>
<td align="center">724 / 321</td>
<td align="center">.254 / .326 / .347</td>
</tr>
<tr>
<td align="center">26</td>
<td align="center">11</td>
<td align="center">414 / 1653</td>
<td align="center">1471 / 382</td>
<td align="center">61 / 4 /27</td>
<td align="center">16 / 29</td>
<td align="center">336 / 135</td>
<td align="center">.260 / .326 / .362</td>
</tr>
<tr>
<td align="center">27</td>
<td align="center">9</td>
<td align="center">143 / 581</td>
<td align="center">496 / 123</td>
<td align="center">14 / 5 / 8</td>
<td align="center">15 / 26</td>
<td align="center">103 / 68</td>
<td align="center">.248 / .346 / .345</td>
</tr>
<tr>
<td align="center">28</td>
<td align="center">4</td>
<td align="center">91 / 354</td>
<td align="center">324 / 83</td>
<td align="center">21 / 0 / 7</td>
<td align="center">3 / 4</td>
<td align="center">78 / 24</td>
<td align="center">.256 / .308 / .386</td>
</tr>
<tr>
<td align="center">29</td>
<td align="center">3</td>
<td align="center">12 / 47</td>
<td align="center">41 / 11</td>
<td align="center">3 / 0 / 3</td>
<td align="center">2 / 2</td>
<td align="center">7 / 6</td>
<td align="center">.268 / .361 / .561</td>
</tr>
<tr>
<td align="center">30</td>
<td align="center">5</td>
<td align="center">12 / 45</td>
<td align="center">42 / 11</td>
<td align="center">5 / 0 / 0</td>
<td align="center">1 / 1</td>
<td align="center">8 / 2</td>
<td align="center">.262 / .289 / .381</td>
</tr>
<tr>
<td align="center">32</td>
<td align="center">1</td>
<td align="center">5 / 20</td>
<td align="center">18 / 4</td>
<td align="center">2 / 0 / 0</td>
<td align="center">0 / 0</td>
<td align="center">5 / 2</td>
<td align="center">.222 / .300 / .333</td>
</tr>
<tr>
<td align="center">33</td>
<td align="center">2</td>
<td align="center">11 / 49</td>
<td align="center">42 / 12</td>
<td align="center">3 / 1 / 0</td>
<td align="center">1 / 1</td>
<td align="center">8 / 6</td>
<td align="center">.286 / .388 / .405</td>
</tr>
<tr>
<td align="center">34</td>
<td align="center">2</td>
<td align="center">10 / 37</td>
<td align="center">33 / 9</td>
<td align="center">3 / 0 / 0</td>
<td align="center">0 / 0</td>
<td align="center">3 / 2</td>
<td align="center">.273 / .297 / .364</td>
</tr>
</tbody>
</table>
<p>It is worth noting that Corey Ray produced a fine campaign, based on his age level and the fact that he was making his professional debut in an aggressive assignment. While Ray&#8217;s surface stats of .247 / .307 / .385 does not look very good, age-21 players in the Florida State League were notably worse than that production level, allowing one to see that Ray showed solid hitting, discipline, and (especially) strong isolated slugging. Even if one follows scouting reports to raise some questions about the hit tool, there is a sense that Ray&#8217;s tools are already showing up in his stat line, even if that line is depressed by his environment.</p>
<table border="1" width="100%" cellspacing="0" cellpadding="0">
<tbody>
<tr bgcolor="#EDF1F3">
<th align="center">2016 Manatees</th>
<th align="center">Age (PA)</th>
<th align="center">AVG / OBP / SLG</th>
<th align="center">League Average</th>
<th align="center">Note</th>
</tr>
<tr>
<td align="center">Wendell Rijo</td>
<td align="center">20 (201)</td>
<td align="center">.202 / .259 / .257</td>
<td align="center">.256 / .316 / .354</td>
<td align="center"></td>
</tr>
<tr>
<td align="center">Elvis Rubio</td>
<td align="center">21 (423)</td>
<td align="center">.216 / .268 / .293</td>
<td align="center">.236 / .297 / .327</td>
<td align="center"></td>
</tr>
<tr>
<td align="center">Corey Ray</td>
<td align="center">21 (254)</td>
<td align="center">.247 / .307 / .385</td>
<td align="center">.236 / .297 / .327</td>
<td align="center">Fantastic debut for an aggressive placement</td>
</tr>
<tr>
<td align="center">Malik Collymore</td>
<td align="center">21 (208)</td>
<td align="center">.167 / .227 / .208</td>
<td align="center">.236 / .297 /.327</td>
<td align="center"></td>
</tr>
<tr>
<td align="center">Brandon Diaz</td>
<td align="center">21 (186)</td>
<td align="center">.166 / .261 / .190</td>
<td align="center">.236 / .297 / .327</td>
<td align="center"></td>
</tr>
<tr>
<td align="center">David Denson</td>
<td align="center">21 (81)</td>
<td align="center">.125 / .222 / .139</td>
<td align="center">.236 / .297 / .327</td>
<td align="center"></td>
</tr>
<tr>
<td align="center">Jose Cuas</td>
<td align="center">22 (441)</td>
<td align="center">.170 / .263 / .240</td>
<td align="center">.250 / .318 / .362</td>
<td align="center"></td>
</tr>
<tr>
<td align="center">Clint Coulter</td>
<td align="center">22 (362)</td>
<td align="center">.220 / .285 / .333</td>
<td align="center">.250 / .318 / .362</td>
<td align="center"></td>
</tr>
<tr>
<td align="center">Dustin Houle</td>
<td align="center">22 (360)</td>
<td align="center">.202 / .293 / .249</td>
<td align="center">.250 / .318 / .362</td>
<td align="center"></td>
</tr>
<tr>
<td align="center">George Iskenderian</td>
<td align="center">22 (357)</td>
<td align="center">.260 / .312 / .338</td>
<td align="center">.250 / .318 / .362</td>
<td align="center"></td>
</tr>
<tr>
<td align="center">Angel Ortega</td>
<td align="center">22 (291)</td>
<td align="center">.275 / .317 / .317</td>
<td align="center">.250 / .318 / .362</td>
<td align="center"></td>
</tr>
<tr>
<td align="center">Omar Garcia</td>
<td align="center">22 (168)</td>
<td align="center">.213 / .280 / .233</td>
<td align="center">.250 / .318 / .362</td>
<td align="center"></td>
</tr>
<tr>
<td align="center">Trey York</td>
<td align="center">22 (25)</td>
<td align="center">.333 / .440 / .571</td>
<td align="center">.250 / .318 / .362</td>
<td align="center">Late season promotion for 2016 college draftee</td>
</tr>
<tr>
<td align="center">Blake Allemand</td>
<td align="center">22 (298)</td>
<td align="center">.238 / .311 / .317</td>
<td align="center">.253 / .320 / .360</td>
<td align="center"></td>
</tr>
<tr>
<td align="center">Mitch Ghelfi</td>
<td align="center">22 (121)</td>
<td align="center">.248 / .273 / .333</td>
<td align="center">.253 / .320 / .360</td>
<td align="center"></td>
</tr>
</tbody>
</table>
<p>&nbsp;</p>
]]></content:encoded>
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		<title>Age in the Minors: Southern League</title>
		<link>http://milwaukee.locals.baseballprospectus.com/2016/09/15/age-in-the-minors-southern-league/</link>
		<comments>http://milwaukee.locals.baseballprospectus.com/2016/09/15/age-in-the-minors-southern-league/#comments</comments>
		<pubDate>Thu, 15 Sep 2016 19:17:13 +0000</pubDate>
		<dc:creator><![CDATA[Nicholas Zettel]]></dc:creator>
				<category><![CDATA[Articles]]></category>
		<category><![CDATA[Angel Ortega]]></category>
		<category><![CDATA[Brett Phillips]]></category>
		<category><![CDATA[Chris McFarland]]></category>
		<category><![CDATA[Clint Coulter]]></category>
		<category><![CDATA[Domingo Santana]]></category>
		<category><![CDATA[Dustin Houle]]></category>
		<category><![CDATA[Jacob Nottingham]]></category>
		<category><![CDATA[Javier Betancourt]]></category>
		<category><![CDATA[Omar Garcia]]></category>
		<category><![CDATA[Tyrone Taylor]]></category>

		<guid isPermaLink="false">http://milwaukee.locals.baseballprospectus.com/?p=6670</guid>
		<description><![CDATA[Now that the affiliated minor leagues are finished with their regular season games, I would like to investigate the context of minor league statistics in order to determine whether (or how) such statistics present meaningful information. Minor league statistics are extremely difficult to judge at a surface glance, since one may not know a player&#8217;s [&#8230;]]]></description>
				<content:encoded><![CDATA[<p>Now that the affiliated minor leagues are finished with their regular season games, I would like to investigate the context of minor league statistics in order to determine whether (or how) such statistics present meaningful information. Minor league statistics are extremely difficult to judge at a surface glance, since one may not know a player&#8217;s development stage, any specific development assignments from their parent club, how their age, assignment, and development fits within their specific league, how the competition in their league compares to other leagues, and/or whether the player is facing difficult or weak competition. Of course, many of these statistics can be found at BaseballProspectus, but the basic point is that these are contextual statistics that one has to dig into; it&#8217;s not quite like the ability to glance at a few areas of an MLB player&#8217;s line and understand (roughly, at a glance) how that player is performing. In this sense, minor league statistics are patently meaningless; scouting information, alongside contextual information <em>about</em> the minor leagues, is where one may find meaning about a player&#8217;s performance or development.</p>
<p><strong>2016 Southern League</strong><br />
I am opening this ongoing series by discussing the Southern League, since the Brewers have a number of top trade acquisitions assigned at their Class-AA Biloxi affiliate. Furthermore, general fan and press sentiment suggests that many of these players had disappointing seasons. This tough, dismissive judgment seems suspicious when one considers important details like Jacob Nottingham gaining the ability to work behind the dish and stick at catcher (thereby strengthening his overall value and development); personally, I would peg Nottingham as a clear Top Five prospect candidate in the system, given the overall projection of his power <em>and</em> the increasing understanding that the youngster has the ability to play catcher.</p>
<p>This is not something that someone would immediately conclude from Nottingham&#8217;s .234 / .295 / .347 AVG / OBP / SLG batting line. Yet, compared solely to age-21 prospects in the Southern League, Nottingham carried one of the heaviest workloads, produced a batting line that was near-average for age-21 players, <em>and</em> demonstrated better than average isolated power. A skeptic might accuse me of using statistics to put lipstick on a pig, but in fact digging into the context of Nottingham&#8217;s season shows much more value in his batting line than one might initially expect; coupled within his defensive progress, that&#8217;s a fine season for a player that is three years younger than his league&#8217;s median age.</p>
<p>What is quite interesting in the Southern League this year is that batting performance fluctuates quite wildly by age, as pitchers taking the plate <em>and</em> late season call-ups, part time players, or MLB players rehabbing injuries impact the proceedings. Simply looking at the list of players working in AA at any given time shows the hodge-podge composition of that level, and the Southern League is no different; there are 19-year old standouts like Ozhaino Albies, second chance 22-year olds like Tyrone Taylor, somewhat stalling (on the surface) names like Billy McKinney, and lots of AA veterans and organizational depth (like Nick Ramirez or Dustin DeMuth, for instance).</p>
<p>For this exercise, I isolated players with more than five PA. This may sound arbitrary, and in some cases it is, but an empirical glance at the list suggested that this was a reasonable cut-off to include rehabs, short call-ups, and other oddities (as well as pitchers batting), while also isolating performances like would skew data too far in the other direction (such as 0 or 1 PA performances).</p>
<table border="1" width="100%" cellspacing="0" cellpadding="0">
<tbody>
<tr bgcolor="#EDF1F3">
<th align="center">2016 Southern Bats</th>
<th align="center">Players</th>
<th align="center">G / PA</th>
<th align="center">AB / H</th>
<th align="center">2B / 3B / HR</th>
<th align="center">SB / SBA</th>
<th align="center">K / BB</th>
<th align="center">AVG / OBP / SLG</th>
</tr>
<tr>
<td align="center">Age 19</td>
<td align="center">1</td>
<td align="center">82 / 371</td>
<td align="center">330 / 106</td>
<td align="center">22 / 7 / 4</td>
<td align="center">21 / 30</td>
<td align="center">57 / 33</td>
<td align="center">.321 / .391 / .467</td>
</tr>
<tr>
<td align="center">Age 20</td>
<td align="center">4</td>
<td align="center">350 / 1478</td>
<td align="center">1283 / 352</td>
<td align="center">73 / 10 / 35</td>
<td align="center">27 / 42</td>
<td align="center">262 / 169</td>
<td align="center">.274 / .361 / .429</td>
</tr>
<tr>
<td align="center">Age 21</td>
<td align="center">13</td>
<td align="center">1085 / 4362</td>
<td align="center">3905 / 1013</td>
<td align="center">193 / 22 / 86</td>
<td align="center">61 / 89</td>
<td align="center">892 / 350</td>
<td align="center">.259 / .323 / .386</td>
</tr>
<tr>
<td align="center">Age 22</td>
<td align="center">33</td>
<td align="center">1880 / 7233</td>
<td align="center">6445 / 1542</td>
<td align="center">288 / 52 / 100</td>
<td align="center">119 / 181</td>
<td align="center">1434 / 572</td>
<td align="center">.239 / .301 / .347</td>
</tr>
<tr>
<td align="center">Age 23</td>
<td align="center">50</td>
<td align="center">2039 / 7843</td>
<td align="center">6939 / 1700</td>
<td align="center">311 / 37 / 147</td>
<td align="center">221 / 301</td>
<td align="center">1648 / 697</td>
<td align="center">.245 / .317 / .364</td>
</tr>
<tr>
<td align="center">Age 24</td>
<td align="center">51</td>
<td align="center">2438 / 9246</td>
<td align="center">8236 / 2065</td>
<td align="center">378 / 68 / 139</td>
<td align="center">230 / 289</td>
<td align="center">1873 / 761</td>
<td align="center">.250 / .316 / .364</td>
</tr>
<tr>
<td align="center">Age 25</td>
<td align="center">52</td>
<td align="center">2992 / 10929</td>
<td align="center">9641 / 2436</td>
<td align="center">452 / 76 / 156</td>
<td align="center">221 / 326</td>
<td align="center">2269 / 993</td>
<td align="center">.253 / .326 / .364</td>
</tr>
<tr>
<td align="center">Age 26</td>
<td align="center">37</td>
<td align="center">1651 / 6137</td>
<td align="center">5433 / 1376</td>
<td align="center">265 / 37 / 79</td>
<td align="center">102 / 155</td>
<td align="center">1134 / 523</td>
<td align="center">.253 / .319 / .359</td>
</tr>
<tr>
<td align="center">Age 27</td>
<td align="center">28</td>
<td align="center">792 / 2604</td>
<td align="center">2306 / 539</td>
<td align="center">103 / 15 / 35</td>
<td align="center">17 / 29</td>
<td align="center">542 / 221</td>
<td align="center">.234 / .305 / .337</td>
</tr>
<tr>
<td align="center">Age 28</td>
<td align="center">5</td>
<td align="center">242 / 903</td>
<td align="center">775 / 182</td>
<td align="center">31 / 10 / 10</td>
<td align="center">8 / 12</td>
<td align="center">215 / 87</td>
<td align="center">.234 / .365 / .339</td>
</tr>
<tr>
<td align="center">Age 29</td>
<td align="center">2</td>
<td align="center">72 / 300</td>
<td align="center">258 / 56</td>
<td align="center">11 / 0 / 6</td>
<td align="center">0 / 0</td>
<td align="center">64/ 35</td>
<td align="center">.217 / .320 / .329</td>
</tr>
<tr>
<td align="center">Age 30</td>
<td align="center">1</td>
<td align="center">68 / 257</td>
<td align="center">211 / 64</td>
<td align="center">12 / 1 / 13</td>
<td align="center">0 / 1</td>
<td align="center">37 / 39</td>
<td align="center">.303 / .416 / .555</td>
</tr>
<tr>
<td align="center">Age 31</td>
<td align="center">1</td>
<td align="center">5 / 21</td>
<td align="center">16 / 8</td>
<td align="center">4 / 0 / 0</td>
<td align="center">0 / 0</td>
<td align="center">1 / 5</td>
<td align="center">.500 / .619 / .750</td>
</tr>
<tr>
<td align="center">Age 32</td>
<td align="center">2</td>
<td align="center">55 / 142</td>
<td align="center">127 / 32</td>
<td align="center">5 / 0 / 0</td>
<td align="center">0 / 0</td>
<td align="center">32 / 10</td>
<td align="center">.252 / .303 / .291</td>
</tr>
<tr>
<td align="center">Age 33</td>
<td align="center">1</td>
<td align="center">5 / 23</td>
<td align="center">22 / 6</td>
<td align="center">1 / 0 / 0</td>
<td align="center">1 / 1</td>
<td align="center">5 / 0</td>
<td align="center">.273 / .261 / .318</td>
</tr>
<tr>
<td align="center">Age 35</td>
<td align="center">1</td>
<td align="center">2 / 9</td>
<td align="center">6 /2</td>
<td align="center">0 / 0 / 0</td>
<td align="center">0 / 0</td>
<td align="center">0 / 2</td>
<td align="center">.333 / .556 / .333</td>
</tr>
</tbody>
</table>
<p>Against their age group, one can now more fully judge the Brewers Class-AA 2016 campaigns. First, let&#8217;s look at the young guys:</p>
<table border="1" width="100%" cellspacing="0" cellpadding="0">
<tbody>
<tr bgcolor="#EDF1F3">
<th align="center">2016 Shuckers</th>
<th align="center">Age (PA)</th>
<th align="center">AVG / OBP / SLG</th>
<th align="center">Age Average</th>
<th align="center">Note</th>
</tr>
<tr>
<td align="center">Javier Betancourt</td>
<td align="center">21 (383)</td>
<td align="center">.224 / .285 / .321</td>
<td align="center">.259 / .323 / .386</td>
<td align="center">Better than average K / BB; near-average BB%</td>
</tr>
<tr>
<td align="center">Jacob Nottingham</td>
<td align="center">21 (456)</td>
<td align="center">.234 / .295 / .347</td>
<td align="center">.259 / .323 / .386</td>
<td align="center">3rd weakest competition (out of 13 players)</td>
</tr>
<tr>
<td align="center">Clint Coulter</td>
<td align="center">22 (102)</td>
<td align="center">.337 / .382 / .442</td>
<td align="center">.239 / .301 / .347</td>
<td align="center">Stunning Late Season Surge</td>
</tr>
<tr>
<td align="center">Omar Garcia</td>
<td align="center">22 (37)</td>
<td align="center">.185 / .389 / .185</td>
<td align="center">.239 / .301 / .347</td>
<td align="center">Huge BB%</td>
</tr>
<tr>
<td align="center">Dustin Houle</td>
<td align="center">22 (6)</td>
<td align="center">.167 / .167 / .333</td>
<td align="center">.239 / .301 / .347</td>
<td align="center"></td>
</tr>
<tr>
<td align="center">Chris McFarland</td>
<td align="center">23 (246)</td>
<td align="center">.185 / .222 / .238</td>
<td align="center">.245 / .317 / .364</td>
<td align="center"></td>
</tr>
<tr>
<td align="center">Angel Ortega</td>
<td align="center">22 (254)</td>
<td align="center">.235 / .252 / .312</td>
<td align="center">.239 / .301 / .347</td>
<td align="center">Below average K / BB</td>
</tr>
<tr>
<td align="center">Brett Phillips</td>
<td align="center">22 (517)</td>
<td align="center">.229 / .332 / .397</td>
<td align="center">.239 / .301 / .347</td>
<td align="center">Age-22 Home Run leader; significantly above average BB%</td>
</tr>
<tr>
<td align="center">Domingo Santana</td>
<td align="center">23 (10)</td>
<td align="center">.333 / .600 / .833</td>
<td align="center">.245 / .317 / .364</td>
<td align="center">Remember Santana is young: he&#8217;s in MLB but below median AA age</td>
</tr>
<tr>
<td align="center">Tyrone Taylor</td>
<td align="center">22 (519)</td>
<td align="center">.232 / .303 / .327</td>
<td align="center">.239 / .301 / .347</td>
<td align="center">Near average slash; better than average K / BB</td>
</tr>
</tbody>
</table>
<p>Placing these seasons in context should illuminate a few points:</p>
<ul>
<li>Brett Phillips had quite a good season, even considering his slump and other issues at the plate.</li>
<li>Good grief, Domingo Santana is young. Sometimes it&#8217;s easy to forget how young these guys are once they make the MLB; Santana is young even for the Southern League, let alone MLB!</li>
<li>Note that someone like Tyrone Taylor, who is basically forgotten among the luxurious OF prospects returned via trade, actually had quite a solid season for his age.</li>
<li>These statistics only cover the surface of judging these players&#8217; contextual seasons, but this should be a start to offset some of the more dismissive press these players are receiving from other sources.</li>
</ul>
<p>Here are some of the older depth players on the Shuckers:</p>
<table border="1" width="100%" cellspacing="0" cellpadding="0">
<tbody>
<tr bgcolor="#EDF1F3">
<th align="center">2016 Shuckers</th>
<th align="center">Age (PA)</th>
<th align="center">AVG / OBP / SLG</th>
<th align="center">Age Average</th>
<th align="center">Note</th>
</tr>
<tr>
<td align="center">Dustin DeMuth</td>
<td align="center">24 (128)</td>
<td align="center">.270 / .336 / .339</td>
<td align="center">.250 / .316 / .364</td>
<td align="center">Moderate BB% and low XBH%</td>
</tr>
<tr>
<td align="center">Victor Roache</td>
<td align="center">24 (169)</td>
<td align="center">.243 / .337 / .412</td>
<td align="center">.250 / .316 / .362</td>
<td align="center">Great BB% and XBH%</td>
</tr>
<tr>
<td align="center">Garrett Cooper</td>
<td align="center">25 (329)</td>
<td align="center">.299 / .350 / .419</td>
<td align="center">.253 / .326 / .364</td>
<td align="center">Tie 3rd for doubles in age group</td>
</tr>
<tr>
<td align="center">Gabriel Noriega</td>
<td align="center">25 (255)</td>
<td align="center">.267 / .301 / .343</td>
<td align="center">.253 / .326 / .364</td>
<td align="center"></td>
</tr>
<tr>
<td align="center">Kyle Wren</td>
<td align="center">25 (151)</td>
<td align="center">.283 / .383 / .370</td>
<td align="center">.253 / .326 / .364</td>
<td align="center">Low SB% and XBH%; exceptional K / BB</td>
</tr>
<tr>
<td align="center">Tom Belza</td>
<td align="center">26 (95)</td>
<td align="center">.233 / .295 / .337</td>
<td align="center">.253 / .319 / .359</td>
<td align="center"></td>
</tr>
<tr>
<td align="center">Johnny Davis</td>
<td align="center">26 (238)</td>
<td align="center">.261 / .312 / .330</td>
<td align="center">.253 / .319 / .359</td>
<td align="center">Great SB and SB%</td>
</tr>
<tr>
<td align="center">Rene Garcia</td>
<td align="center">26 (129)</td>
<td align="center">.225 / .268 / .250</td>
<td align="center">.253 / .319 / .359</td>
<td align="center"></td>
</tr>
<tr>
<td align="center">Nate Orf</td>
<td align="center">26 (156)</td>
<td align="center">.211 / .335 / .242</td>
<td align="center">.253 / .319 / .359</td>
<td align="center">Great strike zone control</td>
</tr>
<tr>
<td align="center">Nick Ramirez</td>
<td align="center">26 (113)</td>
<td align="center">.206 / .316 / .404</td>
<td align="center">.253 / .319 / .359</td>
<td align="center">Extreme home run leader for age group (by 8!)</td>
</tr>
<tr>
<td align="center">Parker Berberet</td>
<td align="center">26 (32)</td>
<td align="center">.111 / .200 / .296</td>
<td align="center">.253 / .319 / .359</td>
<td align="center"></td>
</tr>
<tr>
<td align="center">Brandon Macias</td>
<td align="center">27 (121)</td>
<td align="center">.198 / .298 / .321</td>
<td align="center">.234 / .305 / .337</td>
<td align="center"></td>
</tr>
<tr>
<td align="center">Nick Shaw</td>
<td align="center">27 (132)</td>
<td align="center">.250 / .315 / .302</td>
<td align="center">.234 / .305 / .337</td>
<td align="center"></td>
</tr>
</tbody>
</table>
<p>Given the stacked young minors and top prospects that the Brewers need to fit onto their 40-man roster, it is difficult to judge whether these guys will make the MLB with Milwaukee. However, some of these players have traits that may catch with other organizations, should they find themselves out of Brewers navy come winter. A player like Kyle Wren is particularly interesting; many fans wanted to see Wren called up, but if Wren did not make the MLB in a depth OF capacity in 2015 or 2016, it&#8217;s difficult to see him protected now that the club has many other choices for the offseason.</p>
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