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LLMs struggle with football player career data accuracy

By PulseAugur Editorial · [1 sources] ·

A recent test evaluated eight large language models on their ability to accurately recall football (soccer) player career data, specifically the clubs they played for. The models were prompted to provide this information in a JSON format, with a specific instruction to decline if unsure. However, most models attempted to answer even for less famous players, leading to a high rate of inaccuracies. DeepSeek V4.1 Flash demonstrated the highest accuracy but was significantly slower, while GPT-5.4 mini was faster and named more clubs but with lower precision. Claude Haiku 4.5 declined the most players but still provided many incorrect club associations. AI

IMPACT Highlights LLM limitations in factual recall and the need for careful prompting and verification, especially for niche data.

RANK_REASON LLM evaluation on a specific knowledge domain. [lever_c_demoted from research: ic=1 ai=1.0]

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

LLMs struggle with football player career data accuracy

How we ranked this

Signal score
29 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
LLM evaluation on a specific knowledge domain. [lever_c_demoted from research: ic=1 ai=1.0]
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
model release, product
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
Breaking (< 6h)
Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

Full methodology in our editorial standards.

COVERAGE [1]

  1. dev.to — LLM tag TIER_1 English(EN) · Remdore ·

    I asked eight models which clubs footballers played for

    <p><a href="https://extratime.world" rel="noopener noreferrer">ExtraTime</a>, my football quiz site, has a database of footballers and every club they played for, checked by hand, because the games depend on it. Career Path shows you a player's clubs and you guess who he is. Five…

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