<instructions>Your goal is to analyze the following comment and estimate how highly it will be upvoted by the Hacker News community.</instructions><comment><author>thom</author><text>Always nice to see people doing cool stuff with our free data! If anyone else wanted to play there’s thousands of free soccer games at:&lt;p&gt;&lt;a href=&quot;https:&amp;#x2F;&amp;#x2F;github.com&amp;#x2F;statsbomb&amp;#x2F;open-data&quot;&gt;https:&amp;#x2F;&amp;#x2F;github.com&amp;#x2F;statsbomb&amp;#x2F;open-data&lt;/a&gt;&lt;p&gt;Part of the soccer data is us going back and collecting every Lionel Messi game, and we started doing the same for Tom Brady in American football here:&lt;p&gt;&lt;a href=&quot;https:&amp;#x2F;&amp;#x2F;github.com&amp;#x2F;statsbomb&amp;#x2F;amf-open-data&quot;&gt;https:&amp;#x2F;&amp;#x2F;github.com&amp;#x2F;statsbomb&amp;#x2F;amf-open-data&lt;/a&gt;</text><parent_chain></parent_chain></comment><story><title>Show HN: A football/soccer pass visualizer made with Three.js</title><url>https://statsbomb-3d-viz.vercel.app/</url><text>I&amp;#x27;ve been working on a football pass visualiser for the past week.&lt;p&gt;It uses open data from StatsBomb to analyse and visualise passing patterns, allowing users to explore and filter the data by pass distance, team and players.</text></story>
<instructions>Your goal is to analyze the following comment and estimate how highly it will be upvoted by the Hacker News community.</instructions><comment><author>chaosprint</author><text>Great interface. Maybe provide a direct example, if I want to change to something else, I will find the raw json myself through the guidance you provided.&lt;p&gt;After loading it, I don’t quite understand why you use threejs. Because you also use a heat map to show the height of the pass. The passing route on whoscored seems more intuitive.</text><parent_chain></parent_chain></comment><story><title>Show HN: A football/soccer pass visualizer made with Three.js</title><url>https://statsbomb-3d-viz.vercel.app/</url><text>I&amp;#x27;ve been working on a football pass visualiser for the past week.&lt;p&gt;It uses open data from StatsBomb to analyse and visualise passing patterns, allowing users to explore and filter the data by pass distance, team and players.</text></story>