SplitTime app icon

Apps Like SplitTime for iPhone and iPad

Predict race times and track splits.

The app calculates predicted finish times based on entered distances and times. It also provides a timer with split information and allows sharing of recorded split times.

by Iain Hunter★ 0.00 ratingsHealth & FitnessFreeData updated 2026-10-27

SplitTime screenshots

Ranked alternatives

Showing 161–180 of 1,000 ranked alternatives.

  1. STRIDE: The Track & Field App app icon

    STRIDE: The Track & Field App

    Stride Performance, LLC

    Workouts and personal records

    Log workouts and personal records for sprints, hurdles, jumps, throws, and distance events. Analyze technique using video. Manage season calendars and record reps, splits, volumes, and RPE for each session.

    ★ 5.03 ratingsHealth & FitnessFreeData updated 2026-09-06
  2. SnapRun app icon

    SnapRun

    Chamitha Wijesekera

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

    CalcuRun

    Joseph Iannazzone

    ★ 5.06 ratingsHealth & FitnessFreeData updated 2026-09-06
  2. HPlus app icon

    HPlus

    ShenZhen Richtechie Technology Co.,Ltd.

    ★ 2.429 ratingsHealth & FitnessFreeData updated 2026-09-09
  3. GoCycling -  Sports GPS app icon

    GoCycling - Sports GPS

    鹏 郭

    Record, share, and sync cycling activities.

    The app records cycling status including distance, calories burned, and speed. It syncs ride data to Apple Health and allows sharing activities on social media.

    ★ 4.854 ratingsSportsFreeData updated 2026-10-06
  4. RunnerStretch for runner app icon

    RunnerStretch for runner

    Jia Ming Liang

    Stretch and recover with guided routines

    Guide users through dynamic warm up routines to improve joint mobility and circulation. Offer static cool down routines to aid muscle recovery. Provide a simple interface for easy navigation and execution of stretches.

    ★ 4.431 ratingsHealth & FitnessFreeData updated 2026-09-10

How we rank alternatives

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