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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Beating the bookies with their own numbers - and how the online sports betting market is rigged · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1710.02824/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:16:22 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/1710.02824/feed.xml" rel="self" type="application/rss+xml" /><item><title>Beating the bookies with their own numbers - and how the online sports betting market is rigged — HN submission</title><link>https://news.ycombinator.com/item?id=42112855</link><guid isPermaLink="false">urn:hackerpapers:submission:1710.02824:42112855</guid><pubDate>Tue, 12 Nov 2024 04:40:58 GMT</pubDate><description>&lt;p&gt;Beating the bookies with their own numbers&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;72 points; 58 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/1710.02824/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>stat.AP</category></item><item><title>Beating the bookies with their own numbers - and how the online sports betting market is rigged — HN submission</title><link>https://news.ycombinator.com/item?id=20251732</link><guid isPermaLink="false">urn:hackerpapers:submission:1710.02824:20251732</guid><pubDate>Sat, 22 Jun 2019 21:06:25 GMT</pubDate><description>&lt;p&gt;Beating the bookies with their own numbers&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;3 points; 1 discussion reply on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/1710.02824/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>stat.AP</category></item><item><title>Beating the bookies with their own numbers - and how the online sports betting market is rigged — HN submission</title><link>https://news.ycombinator.com/item?id=17260439</link><guid isPermaLink="false">urn:hackerpapers:submission:1710.02824:17260439</guid><pubDate>Thu, 07 Jun 2018 21:28:31 GMT</pubDate><description>&lt;p&gt;Ask HN: Forecasting FIFA World Cup outcomes, statistically, for fun&lt;/p&gt;&lt;p&gt;We are 1 week away from FIFA World Cup 2018, given than it is one of the most important sport events worldwide I though it would be an interesting and entertaining exercise to try and predict the outcomes of the matches, Im wondering what are the most effective approaches to do so and if there are some free data sources out there that one can use to build a model. For predicting the odds of a team winning an specific match it seems that there are 2 approaches that have been proved to be effective: - Using Elo Ratings [1] - Using the bookmaker consensus model [2] And we can easily obtain data…&lt;/p&gt;&lt;p&gt;1 point; 1 discussion reply on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/1710.02824/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>stat.AP</category></item><item><title>Beating the bookies with their own numbers - and how the online sports betting market is rigged — HN submission</title><link>https://news.ycombinator.com/item?id=15523186</link><guid isPermaLink="false">urn:hackerpapers:submission:1710.02824:15523186</guid><pubDate>Sat, 21 Oct 2017 19:28:11 GMT</pubDate><description>&lt;p&gt;Beating the bookies – how the online sports betting market is rigged&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;242 points; 155 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/1710.02824/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>stat.AP</category></item></channel></rss>
