<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Texas Football on sixman.guru</title><link>http://sixman.guru/tags/texas-football/</link><description>Recent content in Texas Football on sixman.guru</description><generator>Hugo -- 0.155.3</generator><language>en-us</language><lastBuildDate>Wed, 12 Nov 2014 23:44:24 +0000</lastBuildDate><atom:link href="http://sixman.guru/tags/texas-football/index.xml" rel="self" type="application/rss+xml"/><item><title>100k Simulations of All Texas Private Six-Man Brackets</title><link>http://sixman.guru/posts/100k-simulations-of-all-texas-private-six-man-brackets/</link><pubDate>Wed, 12 Nov 2014 23:44:24 +0000</pubDate><guid>http://sixman.guru/posts/100k-simulations-of-all-texas-private-six-man-brackets/</guid><description>&lt;p&gt;It was just time to get down to it. I had been delaying the inevitable, running 100,000 simulations of each and every private school six-man state bracket. For details on how I did this, please read the earlier posts I have written about the public school brackets and other Monte Carlo simulations I have written. This was very similar….&lt;/p&gt;
&lt;p&gt;First build the start bracket using this week’s ratings from my website (&lt;a href="http://www.sixmanfootball.com/"&gt;www.sixmanfootball.com&lt;/a&gt;). Then calculate the probability of each first round game and simulate the result. After each round I update the ratings (not 100% like my formula, but a close enough estimation) and continue…. do this 100,000 times and see what happened.&lt;/p&gt;</description></item><item><title>East and Throckmorton likely to rule UIL D2 Six-Man Playoffs</title><link>http://sixman.guru/posts/east-and-throckmorton-likely-to-rule-uil-d2-six-man-playoffs/</link><pubDate>Wed, 12 Nov 2014 12:54:56 +0000</pubDate><guid>http://sixman.guru/posts/east-and-throckmorton-likely-to-rule-uil-d2-six-man-playoffs/</guid><description>&lt;p&gt;After 100,000 simulations, the Throckmorton Greyhounds appear to have a 29.8% chance to win the UIL D2 Six-Man State Championship. The biggest challenge it appears will be the dominance of the East bracket, which won a dominating 80.1% of the time in the simulation.&lt;/p&gt;
&lt;p&gt;Yesterday I wrote about how the Crowell Wildcats are a somewhat dominant 33.1% to repeat as the D1 UIL State Six-Man Champions. If you would like to read more details on the methods, I have several posted below.&lt;/p&gt;</description></item><item><title>Creating Maps on the Fly For UIL Realignment</title><link>http://sixman.guru/posts/creating-maps-on-the-fly-for-uil-realignment/</link><pubDate>Mon, 03 Feb 2014 16:46:21 +0000</pubDate><guid>http://sixman.guru/posts/creating-maps-on-the-fly-for-uil-realignment/</guid><description>&lt;p&gt;This morning the high school football season officially started with the release of the much anticipated 2014-2016 UIL Football Alignments. This usually started with the UIL servers crashing due to the high volume of traffic (it did briefly, prior to release). This year the UIL was prepared and had a back-up plan to divert traffic off their site.&lt;/p&gt;
&lt;p&gt;So at exactly 9:00 am, the Twitterverse was alive with the ramblings of everyone who cares about Texas high school football.&lt;/p&gt;</description></item><item><title>Texas Football Fan Sentiment Analysis During Valero Alamo Bowl</title><link>http://sixman.guru/posts/texas-football-fan-sentiment-analysis-during-valero-alamo-bowl/</link><pubDate>Wed, 01 Jan 2014 19:48:35 +0000</pubDate><guid>http://sixman.guru/posts/texas-football-fan-sentiment-analysis-during-valero-alamo-bowl/</guid><description>&lt;p&gt;With Monday night’s Alamo Bowl being Coach Mack Brown’s final game as coach of the Texas Longhorns, it seemed like a good opportunity to test fan sentiment on the occasion via Twitter. I captured tweets containing certain words in an attempt to follow sentiment towards Mack Brown and Texas over time, leading up to the game, during the game and afterwards for a brief period.&lt;/p&gt;
&lt;p&gt;I began collecting data around 2:25 PM CST and stopped just after 10:00 PM. The search terms I used were: Mack Brown, mackbrown, Texas Football, Texas Longhorn, hookem and hook em. During that time period, over 51,000 tweets were collected using these search terms. Please not that these terms could be used as regular words, a part of words as well as hashtags.&lt;/p&gt;</description></item></channel></rss>