FootQuery

FootQuery compared

The AI only reads the question. Every number is computed from real match records, and each answer shows the matches behind it.

One question, two kinds of answer

“Haaland vs Kane goals in 2025/26”

A chatbot

A paragraph. The numbers are written by a language model or copied from web pages, can change between runs, and have no matches behind them.

FootQuery

Haaland 41 goals, Kane 64 goals

Calculated from each player's matches, and every match is listed in the widget's Source data.

EH

Erling Haaland

HK

Harry Kane

Harry Kane leads on 2 of 2 stats

Goals

0

0

Goals per 90

0.00

0.00

Facts about other products are from their own websites, October 2026. FootQuery and Footlab AI use the same data provider (API-Football), so none of this is about exclusive data.

FootQuery vs Footlab AI

Both answer football questions in plain language, on the same data provider. Neither has exclusive data. The difference is the engine, the proof and the workspace.

TopicFootQueryFootlab AI
Data providerAPI-FootballAPI-Football (it states it pays for the Ultra plan), plus Wikidata for honours and web search for news
How numbers are madeTyped questions run through FootQuery's own calculation engine on per-match records. Data is fetched on demand, then served from FootQuery's own store.Provider data is ingested into its own database ahead of time and queried with SQL
Proof shownSource data for every answer: the exact matches used, the provider, and matches not counted with the reasonChat answers with sources stated
Question typesPer-match research: hit rates, streaks, last occurrence, splits, career walks, head to head, compareNatural-language questions in 16 languages, about 1.56 million matches advertised, plus match predictions with a published accuracy page
Saving and boardsAnswers are live widgets on boards you keep, refresh, group in folders and shareNot advertised on its site
LiveMatch hubs refresh about every 60 seconds while openLive match hubs are not advertised on its site
PricePrivate beta, no payment collected. Planned plans from 45 kr/month, not on sale yetPaid only, from $9.99/month with a 7-day trial

Where they are stronger

  • Prebuilt match volume: about 1.56 million matches ingested ahead of time.
  • 16 languages.
  • Match predictions, with a published accuracy page.

FootQuery vs FotMob

FotMob follows matches as they happen. FootQuery checks a specific claim about a player or team across many matches. Many people will want both.

TopicFootQueryFotMob
Data providerAPI-FootballOpta-style data, with shot maps and ratings
How numbers are madeYou ask a question, the calculation engine computes the answer from per-match recordsStats pages, shot maps and ratings. It has no plain-language question engine
Proof shownSource data for every answer: the matches used and the matches not countedStats and ratings are shown as published
Question typesPer-match research: hit rates, streaks, splits, career walks, head to head, compareStats pages for teams, players and competitions, live scores and news
Saving and boardsBoards, folders and shareable answersAlerts, in native apps
LiveLive match hubs with events, lineups and team stats in the web appBest-in-class live scores, news and alerts
PricePrivate beta, no payment collected. Planned plans from 45 kr/month, not on sale yetFree, with an ad-free tier

Where they are stronger

  • Live scores, news and alerts.
  • Native apps. FootQuery is a web app that works on phone and desktop.
  • Opta-style data, with shot maps and ratings. FootQuery's ratings are API-Football's and can differ from FotMob's.
  • Free to use.

FootQuery vs chatbots (ChatGPT, Perplexity) and StatMuse

A chatbot writes an answer. FootQuery calculates it from the matches and shows you which ones.

TopicFootQueryChatGPT, Perplexity
How numbers are madeThe language model only reads the question. A calculation engine computes the numbers, so the same question gives the same answerNumbers are written by a language model or copied from web pages, and can change between runs
Proof shownSource data lists every match used and every match not counted, with the reason. Missing data is shown as missing, never as zeroNo match-level proof
Question typesFootball only, built for per-match researchAnything, not only football
Saving and boardsAnswers stay as live widgets on boards you can refresh and shareA chat log
LiveLive match hubs in the same productDepends on the tool and the web pages it finds

Where they are stronger

  • They answer any question, on any topic, with no setup.
  • They can explain, summarise and discuss. FootQuery gives data, not opinions or news.

StatMuse (football section) offers free natural-language answer pages for the top leagues, with no match list behind its numbers. FootQuery lists the matches behind every answer.

How it worksCoverageAsk a question