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About Kahin AI Sports Intelligence

KAHIN is a sports intelligence app that helps you understand the game before it begins. It puts model probabilities next to market consensus — and shows you where the two disagree. WHAT YOU GET • Kahin Report — a one-page verdict per match: direction, expected score and the reasoning. • Probability Engine — market-by-market probabilities, read from price. • Price Hunter — scans for the price patterns you define and tells you when they appear. • Goal Signal — surfaces fixtures with a high pre-match goal expectation. • Ask Kahin — ask a question about a match, get a data-backed answer. • Match forum — every match has its own comment thread, with in-app report and block. • Radar — collects the movements worth noticing. HOW IT WORKS KAHIN reads prices from hundreds of providers, removes the margin, and compares them with its own statistical model. You do not get a single number — you get where that number came from. KAHIN does not place bets, does not connect to any bookmaker account, does not suggest stakes or real money, and makes no outcome guarantees. Data can be delayed and carries uncertainty; projections are not certainties.

What’s new

Version 1.0.11 · Updated October 15, 2026

• New alerts for matches you star: full time with the result (plus the shootout score when decided on penalties) and disallowed goals with team and score. Goals ruled out by VAR are marked as such. • These alerts now also appear on the Notifications screen; tap one to open the match. • When a goal is disallowed, the earlier goal notification on your phone is updated.

App privacy

The developer, Taleppo, reported these privacy practices to Apple.

Data Linked to You

The following data, which may be collected and linked to your identity, may be used for the following purposes:

  • Contact Info: Email Address
  • User Content: Other User Content
  • Identifiers: User ID

Used for: App Functionality

Data Not Linked to You

The following data, which may be collected but is not linked to your identity, may be used for the following purposes:

  • Usage Data: Product Interaction
  • Diagnostics: Crash Data

Used for: Analytics, Product Personalization, App Functionality

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