https://pedrovidigal.com/ Applied statistics on public data. Every claim traced to a committed snapshot, a resolvable citation, and a script that produces the number. en Sat, 05 Sep 2026 00:00:00 GMT https://pedrovidigal.com/ai-operations/01-agent-on-the-incident-queue/ https://pedrovidigal.com/ai-operations/01-agent-on-the-incident-queue/ Sat, 05 Sep 2026 00:00:00 GMT Study I run Applied AI and Support at Yugabyte. Both halves of that title report to the same outcome: how well, and how soon, we help a customer who needs us. So when we put an AI agent in front of the support engineers, the question was never "which model scores highest". It was: can an engineer act on what this agent says, how often will it cost them time, and can we tell in advance. https://pedrovidigal.com/studies/live-season-portugal/ https://pedrovidigal.com/studies/live-season-portugal/ Sat, 05 Sep 2026 00:00:00 GMT Live This page changes. Every other report here is dated and finished. This one tracks a season in progress against a test that was sealed before the season started, and it will keep changing until that test resolves on 15 November 2026. https://pedrovidigal.com/studies/04-how-much-of-an-index-is-real/ https://pedrovidigal.com/studies/04-how-much-of-an-index-is-real/ Wed, 02 Sep 2026 00:00:00 GMT Study A club's yellows-per-foul rate over one season is mostly noise. 15% of the spread between clubs is a real club property; the other 85% is the Poisson accident of one season's bookings. https://pedrovidigal.com/studies/03-the-lever-nobody-pulls/ https://pedrovidigal.com/studies/03-the-lever-nobody-pulls/ Mon, 31 Aug 2026 00:00:00 GMT Study Whether a foul is punished depends enormously on where and when it happens. A foul in your own defensive fifth is carded 31.4% of the time; the same offence in the attacking fifth, 8.9%. A foul in the opening quarter of an hour is carded 6.5% of the time; after ninety minutes, 25.6%. https://pedrovidigal.com/studies/02-fouling-with-impunity/ https://pedrovidigal.com/studies/02-fouling-with-impunity/ Sun, 30 Aug 2026 00:00:00 GMT Study Across eleven European leagues, how often a team is booked per foul it commits depends mostly on how strong that team was expected to be that afternoon. Heavy underdogs are booked more, heavy favourites less, in all eleven leagues, and no club identity is involved. https://pedrovidigal.com/studies/01-free-football-data/ https://pedrovidigal.com/studies/01-free-football-data/ Sat, 29 Aug 2026 00:00:00 GMT Study I wanted to start this project by measuring fouls and cards. Before writing any model, I checked what data was available. That check turned out to be the more interesting result, so it is Week 1. https://www.youtube.com/watch?v=mdWjtkqzXxA https://www.youtube.com/watch?v=mdWjtkqzXxA Fri, 31 Jul 2026 00:00:00 GMT Talk YugabyteDB Friday Tech Talks, Episode 162. How a production AI agent drafts the first root-cause analysis for a distributed database. A single customer diagnostic bundle can hold 50 to 100 million lines of logs. A deterministic layer extracts and normalises the evidence first; the model reasons over what that layer prepared rather than choosing what it reads. Covers the architecture, what worked, and where the system still falls short of its own target. https://aclanthology.org/2026.acl-industry.121/ https://aclanthology.org/2026.acl-industry.121/ Wed, 01 Jul 2026 00:00:00 GMT Peer-reviewed ACL 2026 — Industry Track. A five-year case study of sentiment model selection for customer satisfaction (CSAT) prediction in B2B technical support. The evaluation uses the complete population of CSAT-rated tickets from an enterprise software company: over 500 tickets comprising ~2,500 customer comments from 100+ organizations over five years. 17 approaches across 5 paradigms, plus 11 fine-tuning experiments.