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	<title>Always Miller Time &#187; Shotblocking</title>
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		<title>Random Number Generator Series – Forecasting Shotblocking</title>
		<link>http://alwaysmillertime.com/2010/05/12/random-number-generator-series-%e2%80%93-forecasting-shotblocking/</link>
		<comments>http://alwaysmillertime.com/2010/05/12/random-number-generator-series-%e2%80%93-forecasting-shotblocking/#comments</comments>
		<pubDate>Wed, 12 May 2010 23:31:15 +0000</pubDate>
		<dc:creator>Josh Dhani</dc:creator>
				<category><![CDATA[Statistical Analysis]]></category>
		<category><![CDATA[NBA]]></category>
		<category><![CDATA[Shotblocking]]></category>
		<category><![CDATA[Stats]]></category>

		<guid isPermaLink="false">http://alwaysmillertime.com/2010/05/12/random-number-generator-series-%e2%80%93-forecasting-shotblocking/</guid>
		<description><![CDATA[<p>A random number generator (often abbreviated as RNG) is a computational or physical device designed to generate a sequence of numbers or symbols that lack any pattern, i.e. appear random. This is how I end up feeling about a lot of my posts here at Hickory High. I often begin with a question and start assembling data that I think [...]</p><p><a href="http://alwaysmillertime.com/2010/05/12/random-number-generator-series-%e2%80%93-forecasting-shotblocking/">Random Number Generator Series – Forecasting Shotblocking</a> - <a href="http://alwaysmillertime.com">Always Miller Time</a> - <a href="http://alwaysmillertime.com">Always Miller Time - An Indiana Pacers Fan Site - News, Blogs, Opinion and More</a></p>]]></description>
			<content:encoded><![CDATA[<blockquote><p>A <strong>random number  generator</strong> (often abbreviated as <strong>RNG</strong>)  is a <a title="Computer" href="http://en.wikipedia.org/wiki/Computer">computational</a> or physical device designed to generate a sequence of <a title="Number" href="http://en.wikipedia.org/wiki/Number">numbers</a> or  symbols that  lack any pattern, i.e. appear random.</p></blockquote>
<p>This  is how I end up feeling about a lot of my posts here at <a href="http://ilevy.wordpress.com/">Hickory High</a>. I  often begin with  a question and start assembling data that I think may  help me find an  answer. With my underdeveloped math and logical  reasoning skills, this  often leads me to assembling several tables or  charts with no actual  connection to the answer I was seeking. Usually  these failed inquiries  end up in the trash, but this one took a lot of  work. Maybe someone can  take what I have started and finish it up for  me.</p>
<div>
<div>This will be the first  of my Random Number Generator Series; a,  hopefully, sporadic series of  posts where I pose a question and then  assemble a bunch of numbers  which don’t really answer said query.</p>
<p><strong>Today’s question:</strong> <em>How do you forecast  shotblocking? My  favorite team, the Pacers, is in search of  shot-blocking in the NBA  Draft this year. There are several players with  gaudy block numbers  available in the draft this year. How can you  predict who will be able  to translate this skill to the NBA?</em></p>
<p>Since the 2001/2002 season, there have been 409 individual  player  seasons in which a player averaged 3.0 or more blocks per 40  minutes in  Division I college basketball. If we subtract duplicate  seasons by the  same player, and players who are either still in college  or entered in  the draft this year we are left with 209 players. Of  those 209, only  43 played even 1 minute of NBA action, and only 11  (Hasheem Thabeet,  Sean Williams, Emeka Okafor, Javale McGee, Joakim  Noah, Danny Granger,  Joel Anthony, Roy Hibbert, Chris Kaman, Jason  Maxiell, and Taj Gibson)  have ever totaled 82 blocks in a single season.  That would be an  average of one block per game across an entire season.  Robin Lopez and  Greg Oden probably would have made it this season if  not for injuries.  Channing Frye and Jason Thompson have each had seasons  in the 70s. Even  with those players included that’s only 15 of the 209  best college  shot-blockers over the past nine years, or 7.1%, who have  become a shot  blocking presence in the NBA. Obviously, this number could  go up  somewhat when this year’s draft class is included.</p>
<p>The statistic of blocked shots in college doesn’t seem to be an   adequate stand alone indicator of who will be a productive shot blocker   in the NBA. Injuries are a huge variable to this equation, one that is   largely out of the hands of the individual players. As strange as it   sounds, scoring and rebounding turn out to be variables as well. If you   can only block shots, and can’t help out in other areas of the game  then  you’re a long shot to get drafted, let alone see any playing time.  All  11 of the players I mentioned above averaged at least 8.5 points  and  rebounds per 40 minutes in the season they totaled 82 blocks. Size  of  the player and size of the college would also be factors. Players at   smaller schools, playing against less talented competition can rack up   blocks even if their own physical and athletic shortcomings would   prevent them from doing the same things in the NBA.</p>
<p>35 players in the NBA blocked at least 82 shots this season. Of   those 35, 12 either came from Europe or directly from high school and   never played college basketball. I couldn’t find college statistics for   Chris Andersen or Ben Wallace, but I am going to assume their numbers   were astronomical considering the competition level they were playing   against. Below is a table showing the 23 players with at least one   season of college experience, who also blocked at least 82 shots this   season. Included is their Blk/40 from their last year in college, and   their Blk/40 from this season.</p>
<table border="1" cellspacing="0" cellpadding="0">
<tbody>
<tr>
<td valign="top">Name</td>
<td valign="top">Total Blocks ’09-‘10</td>
<td valign="top">Blk/40 ’09-‘10</td>
<td valign="top">Blk/40 College</td>
</tr>
<tr>
<td valign="top">Andrew Bogut</td>
<td valign="top">175</td>
<td valign="top">3.1</td>
<td valign="top">2.1</td>
</tr>
<tr>
<td valign="top">Brendan Haywood</td>
<td valign="top">158</td>
<td valign="top">2.7</td>
<td valign="top">5.3</td>
</tr>
<tr>
<td valign="top">Samuel Dalembert</td>
<td valign="top">151</td>
<td valign="top">2.8</td>
<td valign="top">6.7</td>
</tr>
<tr>
<td valign="top">Marcus Camby</td>
<td valign="top">146</td>
<td valign="top">2.5</td>
<td valign="top">5.1</td>
</tr>
<tr>
<td valign="top">Chris Andersen</td>
<td valign="top">143</td>
<td valign="top">3.3</td>
<td valign="top">-</td>
</tr>
<tr>
<td valign="top">Brook Lopez</td>
<td valign="top">139</td>
<td valign="top">1.8</td>
<td valign="top">2.7</td>
</tr>
<tr>
<td valign="top">Roy Hibbert</td>
<td valign="top">131</td>
<td valign="top">2.6</td>
<td valign="top">3.4</td>
</tr>
<tr>
<td valign="top">Emeka Okafor</td>
<td valign="top">127</td>
<td valign="top">2.1</td>
<td valign="top">5.0</td>
</tr>
<tr>
<td valign="top">Tim Duncan</td>
<td valign="top">117</td>
<td valign="top">1.9</td>
<td valign="top">3.6</td>
</tr>
<tr>
<td valign="top">Joel Anthony</td>
<td valign="top">109</td>
<td valign="top">3.3</td>
<td valign="top">6.5</td>
</tr>
<tr>
<td valign="top">Taj Gibson</td>
<td valign="top">104</td>
<td valign="top">1.9</td>
<td valign="top">3.4</td>
</tr>
<tr>
<td valign="top">Javale McGee</td>
<td valign="top">101</td>
<td valign="top">4.2</td>
<td valign="top">4.1</td>
</tr>
<tr>
<td valign="top">Joakim Noah</td>
<td valign="top">100</td>
<td valign="top">2.1</td>
<td valign="top">2.8</td>
</tr>
<tr>
<td valign="top">Paul Millsap</td>
<td valign="top">99</td>
<td valign="top">1.7</td>
<td valign="top">2.7</td>
</tr>
<tr>
<td valign="top">Chris Kaman</td>
<td valign="top">94</td>
<td valign="top">1.4</td>
<td valign="top">3.7</td>
</tr>
<tr>
<td valign="top">Al Horford</td>
<td valign="top">91</td>
<td valign="top">1.3</td>
<td valign="top">2.6</td>
</tr>
<tr>
<td valign="top">Hasheem Thabeet</td>
<td valign="top">89</td>
<td valign="top">4.0</td>
<td valign="top">6.2</td>
</tr>
<tr>
<td valign="top">Tyrus Thomas</td>
<td valign="top">85</td>
<td valign="top">2.8</td>
<td valign="top">4.8</td>
</tr>
<tr>
<td valign="top">Kevin Durant</td>
<td valign="top">84</td>
<td valign="top">1.0</td>
<td valign="top">2.1</td>
</tr>
<tr>
<td valign="top">Ben Wallace</td>
<td valign="top">84</td>
<td valign="top">1.7</td>
<td valign="top">-</td>
</tr>
<tr>
<td valign="top">Spencer Hawes</td>
<td valign="top">83</td>
<td valign="top">1.7</td>
<td valign="top">2.4</td>
</tr>
<tr>
<td valign="top">Gerald Wallace</td>
<td valign="top">83</td>
<td valign="top">1.0</td>
<td valign="top">1.8</td>
</tr>
<tr>
<td valign="top">Dwayne Wade</td>
<td valign="top">82</td>
<td valign="top">1.2</td>
<td valign="top">2.0</td>
</tr>
</tbody>
</table>
<p>So except for Andrew Bogut, the outlier, no one seems to block   more shots in the NBA; not a gigantic surprise given the increased   talent level. But when looking at players like Hassan Whiteside, Ekpe   Udoh, Ed Davis and Jarvis Varnado who are available in this year’s   draft, how do we project if they will end up on this list? Is this just a   question of being talented enough in other areas to make a roster and   earn minutes? Is there anything besides traditional scouting to aid in   this evaluation? Are there any statistics which can be used to project   their ability to bring this skill set to the NBA? I don’t know, I’m  just  a Random Number Generator for today. Anyone else have any ideas?</p></div>
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