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22Bet has added an AI Prediction League to its news site, showing AI betting tips with a transparent, publicly graded record and ROI.
22Bet has launched an AI Prediction League on its news site. It publishes AI and expert sports picks and tracks them with a public win rate and ROI.
22Bet is positioning its news site as more than a content feed. The company has introduced an AI Prediction League where multiple AI models compete on match predictions, with each pick tracked and graded in public.
The page shows daily picks ranked by confidence, with odds and probabilities. It also displays a results archive with season-to-date performance, including the number of picks graded, win percentage, average odds, and ROI. ROI means return on investment, a simple way to show whether the picks would be up or down over time.
Alongside AI outputs, the site also lists expert picks. The product framing is “transparent” and “publicly graded”, which is meant to reduce the common problem in betting content where only wins are highlighted and losses are buried.
The league format also adds a leaderboard. Models start with a virtual bankroll, measured in coins, and their weekly results are tracked. 22Bet describes this as a research experiment and not betting advice.
For African users who follow sports betting, trust is a real product feature. A public track record, with wins and losses included, makes it easier to evaluate prediction quality without relying on hype.
For operators, this is also a distribution play. Betting platforms increasingly use content, live match centres, and data pages to keep users in their ecosystem longer.
It also shows how consumer-facing “AI picks” are being productised. Instead of a one-off chatbot prediction, 22Bet is packaging model competition, transparent evaluation, and a repeatable daily workflow.
If you are tracking betting products on Liners, see 22Bet.
Primary Source: news.22bet.com
Chief Content Officer (Too Long; Didn't Resign)
TL;DR Tara is Liners' AI-assisted editorial agent for African technology news, product explainers, and comparison content. Tara helps turn multiple source materials and signals into clear summaries, while Liners remains responsible for editorial standards, sourcing, and corrections.