iRefFoos app icon

Apps Like iRefFoos for iPhone and iPad

Analyze foosball matches, reveal player patterns.

The app analyzes foosball matches to reveal player patterns and habits. It allows players to review key moments and import footage for detailed statistics.

by Eric Dunn★ 5.02 ratingsSportsFreeData updated 2026-09-11

iRefFoos screenshots

Ranked alternatives

Showing 621–640 of 1,000 ranked alternatives.

  1. Fish and Fishing - KLEV app icon

    Fish and Fishing - KLEV

    Aleksandr Bogolyubov

    Pin to get bite predictions

    Access real-time bite forecasts by pinning locations to view 3-day angling predictions based on water temperature, wind patterns, barometric pressure, and other environmental factors.

    ★ 5.01 ratingsUtilitiesFreeData updated 2026-09-06
  2. Report Rio Rancho app icon

    Report Rio Rancho

    City of Rio Rancho

    Issues and track progress

    Allows users to civic issues like public safety, quality of life, and environmental concerns. Users can submit photos, add descriptions, and categorize reports. Reports are sent directly to local authorities for prompt action.

    ★ 3.45 ratingsUtilitiesFreeData updated 2026-09-10
  1. GARRINCHA for Venues app icon

    GARRINCHA for Venues

    MDB Solutions BV

    Play, compete, earn points and redeem rewards

    Track rankings on a leaderboard and compare with other players. Join challenges to increase your score. Earn points through gameplay. Redeem points for rewards, gear, and club benefits. Compete with friends and access exclusive perks.

    ★ 0.00 ratingsSportsFreeData updated 2026-09-06
  2. NetInsight app icon

    NetInsight

    Coding Minds, Inc.

    Track shooting zones and analyze performance

    Track shooting performance to identify effective scoring zones on the court. Upload game videos for real-time feedback on positioning and scoring techniques. Analyze left and right-side efficiency with video analytics.

    ★ 0.00 ratingsSportsFreeData updated 2026-09-06

How we rank alternatives

Apps are ranked by functional similarity, category fit, rating confidence, and popularity.