NEXTUP: Verified Athletic Data app icon

Apps Like NEXTUP: Verified Athletic Data for iPhone and iPad

Track performance and share

Track performance with AI-powered verification of height, wingspan, hand size, and vertical jump. Share instantly with colleges and professional teams. Store and access all records in one centralized platform.

by NEXTUP. Inc.★ 5.07 ratingsSportsFreeData updated 2026-09-06

Ranked alternatives

Showing 261–280 of 1,000 ranked alternatives.

  1. Ai Wear OS app icon

    Ai Wear OS

    LAMI INTERCONNECT TECHNOLOGY (Shenzhen) Co., LTD

    ★ 0.00 ratingsHealth & FitnessFreeData updated 2026-09-06
  1. M25 Sports app icon

    M25 Sports

    assaf shiloh

    Follow athletes, track events, view schedules

    View athlete and official profiles. Access the Maccabiah event schedule and full games calendar. Follow teams and fans. Track medals rankings. Manage delegation pages. Follow athletes as supporters.

    ★ 3.76 ratingsSportsFreeData updated 2026-09-06
  2. cafdexgo app icon

    cafdexgo

    Infinite Technologies, Inc

    ★ 4.732 ratingsSportsFreeData updated 2026-10-15
  3. Coacho app icon

    Coacho

    Shadid Enterprise LLC

    ★ 5.01 ratingsSportsFreeData updated 2026-09-06
  4. VERT Coach app icon

    VERT Coach

    Mayfonk, Inc.

    Jump load management for collegiate programs.

    The app collects real-time jump metrics wirelessly via wearable devices. It provides data for injury prevention and performance optimization, including jump counts and jump height analysis.

    ★ 0.00 ratingsHealth & Fitness$499.99Data updated 2026-11-01
  5. Spark Motion Pro app icon

    Spark Motion Pro

    Spark Motion Inc.

    Record , capture data, evaluate performance

    Record and analyze movement in real-world environments using capture technology. Evaluate performance metrics, save video clips, and export data for review. Sync with Apple Health to track activity trends.

    ★ 4.114 ratingsHealth & FitnessFreeData updated 2026-09-08

How we rank alternatives

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