Skip to main content

For teams & leagues

Make every matchday feel closer to every fan.

Turn every result into a personalized podcast, a newsletter, a game day post and a fan quiz, shaped by what each fan chose to share.

Built on three real Premier League results from Sep 5, 2026, from a dated ESPN snapshot.

Fan content assistant

Interactive preview
Assistant

Ready on the Premier League matchday of Sep 5, 2026. Ask for a recap, a personalized draft, a quiz, or what the data can't support.

ESPN snapshot · Retrieved 2026-09-30 05:57 UTC

Drafts wait for your team's review before anything is sent.

One result, every fan.The same match, told for each club and each level of fan.

Formats fans come back to.Podcast, newsletter, post and quiz from one set of facts.

Consent first.Drafts use only the preferences fans chose to share.

Generated by Factory

One matchday. A podcast, a newsletter, a post and a quiz.

These are examples built from real results for one sample fan. Describe the formats your fans want in Machina Factory and it generates them against your data, voice and consent rules. Switch the output, the fan's club and their level to see an example adapt.

Output
Fan's club
Fan level
Sample fan · SamPodcast · Newcastle · Casual

Example briefA 90–120 second personalized podcast for a casual Newcastle fan: a breaking-news hook, three short sections and a forward-looking close, in one voice.

Sam's matchday

From 2–0 down to a point, off the bench

Script preview · about 100 seconds · one voice

  1. Hook

    Hey Sam, this just broke: Newcastle came from 2–0 down to draw 2–2 with Bournemouth, and a substitute finished it.

  2. How it went

    Bournemouth scored twice in the first 35 minutes: Marcus Tavernier on 9, then a Malick Thiaw own goal. Harvey Barnes pulled one back on 37.

  3. The moment

    Jacob Ramsey came on at 63 and scored at 88.

  4. Around the league

    Elsewhere: Fulham 2–3 Crystal Palace, Man City 1–0 Coventry.

  5. Close

    That's your matchday. Your next episode lands after the next match.

Your formats, not ours. Start from a brief like the one above, or from the show or newsletter you already run, and build it in Factory.

Build a format with Factory

Workflow

From consented profile to delivered draft.

Each fan's output follows the same steps, and your team decides what is sent.

  1. Step 1

    Profile

    The preferences a fan chose to share: club, level, format, language.

  2. Step 2

    Match data

    Results, scorers and stats from connected sources.

  3. Step 3

    Draft

    One output per fan: podcast, newsletter, post or quiz.

  4. Step 4

    Review

    Your team approves the format and spot-checks drafts.

  5. Step 5

    Deliver

    Send by email, app or social, on your schedule.

Your fans. Your rules. Choose the sources, formats and review rules in Machina Studio, then deliver to every channel.

Explore Machina Studio

Questions

What teams and leagues usually ask.

What are AI agents for sports teams and leagues?

They are configured workflows that use approved club, fan, and match context to prepare newsletters, notifications, recaps, podcasts, and sponsor content.

How is this different from the CRM tools a club already has?

A CRM segments and delivers; it does not write. The manual step between the segment and the send is where personalization usually dies. An agent composes the variant itself from club data and match data, applies brand rules, and hands the CRM something ready to deliver.

Do we need our own data for this to work?

Match data can support general content. Consented first-party preferences and engagement history can make configured communications more relevant, but only when the club has the rights and a clear purpose for using that data.

Can it publish in several languages?

A workflow can localize approved output per market, with language-specific brand rules and review rather than assuming one configuration works everywhere.

How do sponsors fit in?

Activations can be tied to a real match moment — a milestone, a comeback, an athlete trending — rather than a fixed slot in the calendar. That is what turns a sponsored placement into something measurable in engagement terms instead of impressions alone.

What should a club start with?

Start with one output type, one language, and one competition. Define the evaluation window and success criteria before the pilot, then expand only when the evidence supports it.

Guide: AI Fan Engagement for Clubs: What It Automates and How to Evaluate It

Bring a real fan experience workflow.

Schedule a meeting