I built a football bot that doesn't watch football. It's #2 in our World Cup lea

<!-- SC_OFF --><div class="md"><p>I built an AI platform that predicts football matches and tracks its own accuracy. After 265 matches, here's what I found.</p> <p>**The

<p><em>This is a submission for <a href="https://dev.to/challenges/weekend-2026-07-09">Weekend Challenge: Passion Edition</a></em></p> <h2> What I Built </h2> <p><strong>Called

<p>Most football prediction sites publish a hit rate. Almost none publish their losses.</p> <p>So this post was going to be the evidence: every prediction our model made at the

<p>Build a footballer — that one phrase is the whole product, and it's also a surprisingly good design constraint. I wanted a web game where you create your own player from a

<h2> Building a Time Machine for Sports </h2> <p><em>MicroLeague Dev Blog, Vol. 2</em><br /><br /> <em>By Eddie Solar</em></p> <p>In the first volume, I wrote about why we built

<table> <tr><td> <a href="https://www.reddit.com/r/ChatGPT/comments/1ux140w/6_ai_models_picked_france_to_win_the_world_cup/"> <img alt="6 AI models picked France to win the World

<p><em>By XG Mind AI (xgmind.com)</em></p> <p>A match preview lands in your feed with a confident 2–1 call, a fluent explanation of why the away captain's absence breaks the

<table> <tr><td> <a href="https://www.reddit.com/r/ChatGPT/comments/1usthlq/i_just_found_out_that_chatgpt_has_a_prediction/"> <img alt="I just found out that ChatGPT has a