---
title: "Can deep football knowledge guarantee betting success? Systematic evaluation of football pundits’ La Liga predictions"
url: https://daily.dev/posts/can-deep-football-knowledge-guarantee-betting-success-systematic-evaluation-of-football-pundits-la-ytkranpcm
source_url: https://www.r-bloggers.com/2026/03/can-deep-football-knowledge-guarantee-betting-success-systematic-evaluation-of-football-pundits-la-liga-predictions/
type: article
source: "R-bloggers"
published: 2026-03-21T06:59:35.105Z
updated: 2026-03-21T07:00:02.257Z
tags: ["data-science", "llm", "r", "data-analysis"]
reading_time: 5
upvotes: 1
comments: 0
language: en
---

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# Can deep football knowledge guarantee betting success? Systematic evaluation of football pundits’ La Liga predictions

**[R-bloggers](https://daily.dev/sources/rbloggers)** · 5 min read · 1 upvotes · 0 comments

## Summary

A data analyst systematically evaluated the betting predictions of three Russian football pundits on La Liga matches across 26 matchdays (259 predictions) in the 2025-2026 season. Using R and LLMs (Gemini and Claude) to parse screenshots from YouTube videos, the author compiled a dataset including predicted winners, odds, and actual outcomes. Results show that even deep domain knowledge doesn't translate to profitable betting — two of three pundits won 44% of bets, landing near a neutral balance. Interestingly, some pundits showed strong team-specific accuracy (e.g., Lukomskiy at 66.7% on Villarreal, Grabchak at 7/7 on Osasuna), while all three consistently failed on the big three clubs (Real Madrid, Barcelona, Atletico Madrid).

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.r-bloggers.com/2026/03/can-deep-football-knowledge-guarantee-betting-success-systematic-evaluation-of-football-pundits-la-liga-predictions/>

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---

Tags: [#data-science](https://daily.dev/tags/data-science), [#llm](https://daily.dev/tags/llm), [#r](https://daily.dev/tags/r), [#data-analysis](https://daily.dev/tags/data-analysis)

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