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> <channel><title>Comments on: I call him GAMBLOR! (Part 1)</title> <atom:link href="http://popdose.com/i-call-him-gamblor/feed/" rel="self" type="application/rss+xml" /><link>http://popdose.com/i-call-him-gamblor/</link> <description>your daily dose of pop culture</description> <lastBuildDate>Sat, 11 Feb 2012 17:21:00 +0000</lastBuildDate> <sy:updatePeriod>hourly</sy:updatePeriod> <sy:updateFrequency>1</sy:updateFrequency> <generator>http://wordpress.org/?v=3.3.1</generator> <item><title>By: I call him GAMBLOR! (Part 3) &#124; Popdose</title><link>http://popdose.com/i-call-him-gamblor/comment-page-1/#comment-43811</link> <dc:creator>I call him GAMBLOR! (Part 3) &#124; Popdose</dc:creator> <pubDate>Thu, 12 Nov 2009 05:51:37 +0000</pubDate> <guid
isPermaLink="false">http://popdose.com/?p=26191#comment-43811</guid> <description>[...] summarized the two major models at the beginning of the season (in parts one and two), but to refresh your memory on how Gamblor works, when it feels the spread has been set [...]</description> <content:encoded><![CDATA[<p>[...] summarized the two major models at the beginning of the season (in parts one and two), but to refresh your memory on how Gamblor works, when it feels the spread has been set [...]</p> ]]></content:encoded> </item> <item><title>By: john</title><link>http://popdose.com/i-call-him-gamblor/comment-page-1/#comment-51186</link> <dc:creator>john</dc:creator> <pubDate>Fri, 23 Oct 2009 23:12:34 +0000</pubDate> <guid
isPermaLink="false">http://popdose.com/?p=26191#comment-51186</guid> <description>Thanks Zack. I&#039;ll check out the printable sheets. I think add that &quot;maximum confidence level&quot; would be a good addition.</description> <content:encoded><![CDATA[<p>Thanks Zack. I&#39;ll check out the printable sheets. I think add that &#8220;maximum confidence level&#8221; would be a good addition.</p> ]]></content:encoded> </item> <item><title>By: Zack</title><link>http://popdose.com/i-call-him-gamblor/comment-page-1/#comment-51185</link> <dc:creator>Zack</dc:creator> <pubDate>Fri, 23 Oct 2009 22:50:37 +0000</pubDate> <guid
isPermaLink="false">http://popdose.com/?p=26191#comment-51185</guid> <description>Well...that&#039;s where it gets a bit tricky.  Because there&#039;s 360 different models, each which produces a different confidence level.  Here are the different factors that are getting changed:&lt;br&gt;1.  Weeks back (9 to 20 weeks worth of history)&lt;br&gt;2.  Blowout bonus/penalty (number of games that have been lost/won by 12 to 17 points, multiplied by a factor based on weeks back)&lt;br&gt;3.  Turnover bonus (the turnover ratio over the weeksback span, multiplied by a very complicated factor but essentially ranges from 2 to 6)&lt;br&gt;&lt;br&gt;So, for each possible combination of factors (12 x 6 x 5 = 360) there is a separate confidence level for each game.  For example, this week with Pittsburgh, the confidence level ranges from .922 all the way down to .691.  There are six cases where the confidence level is &gt; 0.90, and sixty cases where it&#039;s &gt; 0.85.  But there&#039;s really no succinct way to report all that information.  The printable sheets (nobody seems to be clicking on those, unfortunately) have the weighted number of picks; I didn&#039;t add those to the tables because it&#039;s essentially the same information as in the $ amounts.  Since 90% cases are rare, I always mention it in the tables when it turns up, but I&#039;m not sure what more I should add that wouldn&#039;t clutter up the house too much.  I suppose I could add the maximum confidence level to where I mention the bet type; instead of Flip - 90% it would become Flip - 92.2%.  What do you think?</description> <content:encoded><![CDATA[<p>Well&#8230;that&#39;s where it gets a bit tricky.  Because there&#39;s 360 different models, each which produces a different confidence level.  Here are the different factors that are getting changed:<br
/>1.  Weeks back (9 to 20 weeks worth of history)<br
/>2.  Blowout bonus/penalty (number of games that have been lost/won by 12 to 17 points, multiplied by a factor based on weeks back)<br
/>3.  Turnover bonus (the turnover ratio over the weeksback span, multiplied by a very complicated factor but essentially ranges from 2 to 6)</p><p>So, for each possible combination of factors (12 x 6 x 5 = 360) there is a separate confidence level for each game.  For example, this week with Pittsburgh, the confidence level ranges from .922 all the way down to .691.  There are six cases where the confidence level is &gt; 0.90, and sixty cases where it&#39;s &gt; 0.85.  But there&#39;s really no succinct way to report all that information.  The printable sheets (nobody seems to be clicking on those, unfortunately) have the weighted number of picks; I didn&#39;t add those to the tables because it&#39;s essentially the same information as in the $ amounts.  Since 90% cases are rare, I always mention it in the tables when it turns up, but I&#39;m not sure what more I should add that wouldn&#39;t clutter up the house too much.  I suppose I could add the maximum confidence level to where I mention the bet type; instead of Flip &#8211; 90% it would become Flip &#8211; 92.2%.  What do you think?</p> ]]></content:encoded> </item> <item><title>By: john</title><link>http://popdose.com/i-call-him-gamblor/comment-page-1/#comment-51184</link> <dc:creator>john</dc:creator> <pubDate>Fri, 23 Oct 2009 22:21:30 +0000</pubDate> <guid
isPermaLink="false">http://popdose.com/?p=26191#comment-51184</guid> <description>Hi, I&#039;ve been following and using Gamblor, and I love it. But there is one thing I&#039;m still hazy on. &lt;br&gt;How does confidence level translate to the $amount? &lt;br&gt;&lt;br&gt;Like a $40 bet is obviously better confidence than at $1 bet. But how does that match your confidence level? It would be good for you to put the confidence level up too, like you mention in this passage:&lt;br&gt;&lt;br&gt;&quot;But at a confidence level of 90%, that win percentage is up to 57.6%. And if the computer feels 95% confident about a game, on average it’s right a staggering 71.6% of the time.&quot;&lt;br&gt;&lt;br&gt;thanks</description> <content:encoded><![CDATA[<p>Hi, I&#39;ve been following and using Gamblor, and I love it. But there is one thing I&#39;m still hazy on. <br
/>How does confidence level translate to the $amount?</p><p>Like a $40 bet is obviously better confidence than at $1 bet. But how does that match your confidence level? It would be good for you to put the confidence level up too, like you mention in this passage:</p><p>&#8220;But at a confidence level of 90%, that win percentage is up to 57.6%. And if the computer feels 95% confident about a game, on average it’s right a staggering 71.6% of the time.&#8221;</p><p>thanks</p> ]]></content:encoded> </item> <item><title>By: john</title><link>http://popdose.com/i-call-him-gamblor/comment-page-1/#comment-41339</link> <dc:creator>john</dc:creator> <pubDate>Fri, 23 Oct 2009 19:12:34 +0000</pubDate> <guid
isPermaLink="false">http://popdose.com/?p=26191#comment-41339</guid> <description>Thanks Zack. I&#039;ll check out the printable sheets. I think add that &quot;maximum confidence level&quot; would be a good addition.</description> <content:encoded><![CDATA[<p>Thanks Zack. I&#39;ll check out the printable sheets. I think add that &#8220;maximum confidence level&#8221; would be a good addition.</p> ]]></content:encoded> </item> <item><title>By: Zack</title><link>http://popdose.com/i-call-him-gamblor/comment-page-1/#comment-41338</link> <dc:creator>Zack</dc:creator> <pubDate>Fri, 23 Oct 2009 18:50:37 +0000</pubDate> <guid
isPermaLink="false">http://popdose.com/?p=26191#comment-41338</guid> <description>Well...that&#039;s where it gets a bit tricky.  Because there&#039;s 360 different models, each which produces a different confidence level.  Here are the different factors that are getting changed:&lt;br&gt;1.  Weeks back (9 to 20 weeks worth of history)&lt;br&gt;2.  Blowout bonus/penalty (number of games that have been lost/won by 12 to 17 points, multiplied by a factor based on weeks back)&lt;br&gt;3.  Turnover bonus (the turnover ratio over the weeksback span, multiplied by a very complicated factor but essentially ranges from 2 to 6)&lt;br&gt;&lt;br&gt;So, for each possible combination of factors (12 x 6 x 5 = 360) there is a separate confidence level for each game.  For example, this week with Pittsburgh, the confidence level ranges from .922 all the way down to .691.  There are six cases where the confidence level is &gt; 0.90, and sixty cases where it&#039;s &gt; 0.85.  But there&#039;s really no succinct way to report all that information.  The printable sheets (nobody seems to be clicking on those, unfortunately) have the weighted number of picks; I didn&#039;t add those to the tables because it&#039;s essentially the same information as in the $ amounts.  Since 90% cases are rare, I always mention it in the tables when it turns up, but I&#039;m not sure what more I should add that wouldn&#039;t clutter up the house too much.  I suppose I could add the maximum confidence level to where I mention the bet type; instead of Flip - 90% it would become Flip - 92.2%.  What do you think?</description> <content:encoded><![CDATA[<p>Well&#8230;that&#39;s where it gets a bit tricky.  Because there&#39;s 360 different models, each which produces a different confidence level.  Here are the different factors that are getting changed:<br
/>1.  Weeks back (9 to 20 weeks worth of history)<br
/>2.  Blowout bonus/penalty (number of games that have been lost/won by 12 to 17 points, multiplied by a factor based on weeks back)<br
/>3.  Turnover bonus (the turnover ratio over the weeksback span, multiplied by a very complicated factor but essentially ranges from 2 to 6)</p><p>So, for each possible combination of factors (12 x 6 x 5 = 360) there is a separate confidence level for each game.  For example, this week with Pittsburgh, the confidence level ranges from .922 all the way down to .691.  There are six cases where the confidence level is &gt; 0.90, and sixty cases where it&#39;s &gt; 0.85.  But there&#39;s really no succinct way to report all that information.  The printable sheets (nobody seems to be clicking on those, unfortunately) have the weighted number of picks; I didn&#39;t add those to the tables because it&#39;s essentially the same information as in the $ amounts.  Since 90% cases are rare, I always mention it in the tables when it turns up, but I&#39;m not sure what more I should add that wouldn&#39;t clutter up the house too much.  I suppose I could add the maximum confidence level to where I mention the bet type; instead of Flip &#8211; 90% it would become Flip &#8211; 92.2%.  What do you think?</p> ]]></content:encoded> </item> <item><title>By: john</title><link>http://popdose.com/i-call-him-gamblor/comment-page-1/#comment-41337</link> <dc:creator>john</dc:creator> <pubDate>Fri, 23 Oct 2009 18:21:30 +0000</pubDate> <guid
isPermaLink="false">http://popdose.com/?p=26191#comment-41337</guid> <description>Hi, I&#039;ve been following and using Gamblor, and I love it. But there is one thing I&#039;m still hazy on. &lt;br&gt;How does confidence level translate to the $amount? &lt;br&gt;&lt;br&gt;Like a $40 bet is obviously better confidence than at $1 bet. But how does that match your confidence level? It would be good for you to put the confidence level up too, like you mention in this passage:&lt;br&gt;&lt;br&gt;&quot;But at a confidence level of 90%, that win percentage is up to 57.6%. And if the computer feels 95% confident about a game, on average itâ€™s right a staggering 71.6% of the time.&quot;&lt;br&gt;&lt;br&gt;thanks</description> <content:encoded><![CDATA[<p>Hi, I&#39;ve been following and using Gamblor, and I love it. But there is one thing I&#39;m still hazy on. <br
/>How does confidence level translate to the $amount?</p><p>Like a $40 bet is obviously better confidence than at $1 bet. But how does that match your confidence level? It would be good for you to put the confidence level up too, like you mention in this passage:</p><p>&#8220;But at a confidence level of 90%, that win percentage is up to 57.6%. And if the computer feels 95% confident about a game, on average itâ€™s right a staggering 71.6% of the time.&#8221;</p><p>thanks</p> ]]></content:encoded> </item> <item><title>By: john</title><link>http://popdose.com/i-call-him-gamblor/comment-page-1/#comment-39545</link> <dc:creator>john</dc:creator> <pubDate>Fri, 23 Oct 2009 18:12:34 +0000</pubDate> <guid
isPermaLink="false">http://popdose.com/?p=26191#comment-39545</guid> <description>Thanks Zack. I&#039;ll check out the printable sheets. I think add that &quot;maximum confidence level&quot; would be a good addition.</description> <content:encoded><![CDATA[<p>Thanks Zack. I&#39;ll check out the printable sheets. I think add that &#8220;maximum confidence level&#8221; would be a good addition.</p> ]]></content:encoded> </item> <item><title>By: Zack</title><link>http://popdose.com/i-call-him-gamblor/comment-page-1/#comment-39543</link> <dc:creator>Zack</dc:creator> <pubDate>Fri, 23 Oct 2009 17:50:37 +0000</pubDate> <guid
isPermaLink="false">http://popdose.com/?p=26191#comment-39543</guid> <description>Well...that&#039;s where it gets a bit tricky.  Because there&#039;s 360 different models, each which produces a different confidence level.  Here are the different factors that are getting changed:&lt;br&gt;1.  Weeks back (9 to 20 weeks worth of history)&lt;br&gt;2.  Blowout bonus/penalty (number of games that have been lost/won by 12 to 17 points, multiplied by a factor based on weeks back)&lt;br&gt;3.  Turnover bonus (the turnover ratio over the weeksback span, multiplied by a very complicated factor but essentially ranges from 2 to 6)&lt;br&gt;&lt;br&gt;So, for each possible combination of factors (12 x 6 x 5 = 360) there is a separate confidence level for each game.  For example, this week with Pittsburgh, the confidence level ranges from .922 all the way down to .691.  There are six cases where the confidence level is &gt; 0.90, and sixty cases where it&#039;s &gt; 0.85.  But there&#039;s really no succinct way to report all that information.  The printable sheets (nobody seems to be clicking on those, unfortunately) have the weighted number of picks; I didn&#039;t add those to the tables because it&#039;s essentially the same information as in the $ amounts.  Since 90% cases are rare, I always mention it in the tables when it turns up, but I&#039;m not sure what more I should add that wouldn&#039;t clutter up the house too much.  I suppose I could add the maximum confidence level to where I mention the bet type; instead of Flip - 90% it would become Flip - 92.2%.  What do you think?</description> <content:encoded><![CDATA[<p>Well&#8230;that&#39;s where it gets a bit tricky.  Because there&#39;s 360 different models, each which produces a different confidence level.  Here are the different factors that are getting changed:<br
/>1.  Weeks back (9 to 20 weeks worth of history)<br
/>2.  Blowout bonus/penalty (number of games that have been lost/won by 12 to 17 points, multiplied by a factor based on weeks back)<br
/>3.  Turnover bonus (the turnover ratio over the weeksback span, multiplied by a very complicated factor but essentially ranges from 2 to 6)</p><p>So, for each possible combination of factors (12 x 6 x 5 = 360) there is a separate confidence level for each game.  For example, this week with Pittsburgh, the confidence level ranges from .922 all the way down to .691.  There are six cases where the confidence level is &gt; 0.90, and sixty cases where it&#39;s &gt; 0.85.  But there&#39;s really no succinct way to report all that information.  The printable sheets (nobody seems to be clicking on those, unfortunately) have the weighted number of picks; I didn&#39;t add those to the tables because it&#39;s essentially the same information as in the $ amounts.  Since 90% cases are rare, I always mention it in the tables when it turns up, but I&#39;m not sure what more I should add that wouldn&#39;t clutter up the house too much.  I suppose I could add the maximum confidence level to where I mention the bet type; instead of Flip &#8211; 90% it would become Flip &#8211; 92.2%.  What do you think?</p> ]]></content:encoded> </item> <item><title>By: john</title><link>http://popdose.com/i-call-him-gamblor/comment-page-1/#comment-39540</link> <dc:creator>john</dc:creator> <pubDate>Fri, 23 Oct 2009 17:21:30 +0000</pubDate> <guid
isPermaLink="false">http://popdose.com/?p=26191#comment-39540</guid> <description>Hi, I&#039;ve been following and using Gamblor, and I love it. But there is one thing I&#039;m still hazy on. &lt;br&gt;How does confidence level translate to the $amount? &lt;br&gt;&lt;br&gt;Like a $40 bet is obviously better confidence than at $1 bet. But how does that match your confidence level? It would be good for you to put the confidence level up too, like you mention in this passage:&lt;br&gt;&lt;br&gt;&quot;But at a confidence level of 90%, that win percentage is up to 57.6%. And if the computer feels 95% confident about a game, on average itâ€™s right a staggering 71.6% of the time.&quot;&lt;br&gt;&lt;br&gt;thanks</description> <content:encoded><![CDATA[<p>Hi, I&#39;ve been following and using Gamblor, and I love it. But there is one thing I&#39;m still hazy on. <br
/>How does confidence level translate to the $amount?</p><p>Like a $40 bet is obviously better confidence than at $1 bet. But how does that match your confidence level? It would be good for you to put the confidence level up too, like you mention in this passage:</p><p>&#8220;But at a confidence level of 90%, that win percentage is up to 57.6%. And if the computer feels 95% confident about a game, on average itâ€™s right a staggering 71.6% of the time.&#8221;</p><p>thanks</p> ]]></content:encoded> </item> </channel> </rss>

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