<?xml version="1.0"?><rss version="2.0"><channel><title>tactica. Journal</title><link>https://journal.tacticafootball.co.uk/</link><description>Football intelligence, built in public.</description><item><title>A beta isn&#x27;t supposed to prove you were right.</title><link>https://journal.tacticafootball.co.uk/a-beta-isnt-supposed-to-prove-you-were-right/</link><guid>https://journal.tacticafootball.co.uk/a-beta-isnt-supposed-to-prove-you-were-right/</guid><description>tactica.&#x27;s Closed Beta wasn&#x27;t built to prove we&#x27;d built the right product. It was built to expose where we hadn&#x27;t and those lessons are now shaping tactica. 2.0.</description></item><item><title>At some point, you have to start treating it like a company.</title><link>https://journal.tacticafootball.co.uk/when-you-have-to-start-treating-it-like-a-company/</link><guid>https://journal.tacticafootball.co.uk/when-you-have-to-start-treating-it-like-a-company/</guid><description>tactica. started as a project on my laptop. Now I&#x27;m thinking seriously about investment, ownership, distribution and what it would mean to build it as a company.</description></item><item><title>Building a model that knows when not to trust its data</title><link>https://journal.tacticafootball.co.uk/building-a-model-that-knows-when-not-to-trust-its-data/</link><guid>https://journal.tacticafootball.co.uk/building-a-model-that-knows-when-not-to-trust-its-data/</guid><description>tactica. found that having football data wasn&#x27;t enough. The model also needed to understand whether evidence was valid, complete, timely and when not to trust it.</description></item><item><title>What should a football model understand before it makes a prediction?</title><link>https://journal.tacticafootball.co.uk/what-should-a-football-model-understand/</link><guid>https://journal.tacticafootball.co.uk/what-should-a-football-model-understand/</guid><description>We&#x27;re rethinking what should happen before tactica. makes a prediction from historical team evidence and expected lineups to matchup intelligence, uncertainty and the decision to make no recommendation at all.</description></item><item><title>An 80% probability didn&#x27;t mean we were more confident than 64%.</title><link>https://journal.tacticafootball.co.uk/80-percent-wasnt-more-confident-than-64/</link><guid>https://journal.tacticafootball.co.uk/80-percent-wasnt-more-confident-than-64/</guid><description>tactica. discovered that an 80% protected-market probability wasn&#x27;t necessarily stronger football conviction than a 64% outright probability. Our first attempt to fix it didn&#x27;t survive independent review.</description></item><item><title>We fixed what our model was saying. We didn&#x27;t change what it predicted.</title><link>https://journal.tacticafootball.co.uk/we-fixed-the-explanation-not-the-model/</link><guid>https://journal.tacticafootball.co.uk/we-fixed-the-explanation-not-the-model/</guid><description>tactica. found 415 cases where an explanation attributed part of a prediction to something that hadn&#x27;t affected it. The evidence told us to fix the explanation—not change the model.</description></item><item><title>Our model was profitable. We audited it anyway.</title><link>https://journal.tacticafootball.co.uk/our-model-was-profitable-we-audited-it-anyway/</link><guid>https://journal.tacticafootball.co.uk/our-model-was-profitable-we-audited-it-anyway/</guid><description>tactica. returned +4.96% across its first meaningful observational Performance sample. Instead of treating that as proof the system was healthy, we audited the intelligence underneath it.</description></item></channel></rss>