Mega Millions Statistics Picks app icon

Apps Like Mega Millions Statistics Picks for iPhone and iPad

Generate lottery with stats

Generate lottery using historical data. Filter numbers by most drawn, least drawn, overdue, or recent. Combine categories for custom selections. View detailed to inform choices. Save and share pick combinations.

by Cultivate Digital, LLC★ 4.911 ratingsEntertainmentFreeData updated 2026-09-06

Mega Millions Statistics Picks screenshots

Ranked alternatives

Showing 781–800 of 1,000 ranked alternatives.

  1. SigiCalc app icon

    SigiCalc

    Siegwart Software

    Calculate and graph functions instantly.

    The app offers a fast, clean RPN calculator with live function graphs. Users can enter calculations using RPN and instantly plot expressions with X as a variable.

    ★ 5.01 ratingsEducationFreeData updated 2026-09-29
  1. Fidos 30 app icon

    Fidos 30

    Phytosrx.com

    Create, edit, and share dog stickers

    Create and share hand-drawn stickers featuring strong-looking dogs. Choose from Bull Terrier, American Bull Terrier, English Bulldog, Boxer, Frechie, and Pug. Customize stickers with text and effects. Export and share directly.

    ★ 0.00 ratingsStickers$0.99Data updated 2026-09-11
  2. Love Sketch Stickers app icon

    Love Sketch Stickers

    Balveer Singh

    Stick to -themed sketches and adhesive designs

    Apply adhesive-backed with romantic illustrations and hand-drawn designs. Choose from themes like hearts, couples, letters, and flowers. Stick to surfaces for decorative displays. Remove and reposition as needed.

    ★ 0.00 ratingsStickers$0.99Data updated 2026-09-06
  3. Let's BINGO!! app icon

    Let's BINGO!!

    Katsuhisa Koike

    Perform three kinds of lots.

    The app allows users to perform three types of lotteries. Lottery 1 enables setting prizes and grades, while Lottery 2 supports turns with arbitrary numbers, usable for bingo.

    ★ 0.00 ratingsUtilitiesFreeData updated 2026-09-24

How we rank alternatives

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