Stat AI
🔥MRRdeals Score · 79/100 · Top 2%What this SaaS is
Stat AI analyzes sports data and provides users with AI-generated insights and decision support.
- AI-generated sports analysis
- Data-driven insights
- Sports decision support
Numbers that matter
Mobile app
Apple and Google keep 15–30% of subscriptions: check whether the revenue and margin above are before or after the store commission, and plan the transfer of the app and its subscriptions through App Store Connect or Google Play.
Tech stack
Score breakdown
How the composite score above splits across seven independent signals. Each axis is graded 0-100. Hover for details.
Payback at the stated margin, asking multiple vs the category median, and profit margin. The heaviest axis: what you pay for what it earns.
Revenue trend over the last ~90 days from our daily snapshots (30-day figure when history is short), capped so one spike can't dominate, minus a penalty for erratic revenue.
Paying customers, revenue scale and traffic (log scales), plus live-site health (reachable pricing page, core pages, maintained site).
AI-disruption risk, organic search presence, recurring B2B revenue; penalties for thin AI wrappers and no-code lock-in.
How turnkey the takeover is: diversity of marketing channels, Merchant-of-Record status, team.
Higher = safer. Business age, breadth of the customer base (concentration risk), recurring vs one-off revenue, known payment provider.
Structured market read across TAM, saturation, 3-year trend, and hype cycle, blended with our category momentum signal.
Market read
- TAMmid
The app targets a broad audience but is limited to sports analysis, indicating a mid-sized market.
- Saturationgrowing
The market for sports analysis apps is growing with increasing interest in data-driven insights, but not yet saturated.
- 3y trendgrowing
The trend for AI applications in sports is growing as more consumers seek personalized insights.
- AI disruptionvulnerable
The reliance on AI for insights makes it vulnerable to competitors who can replicate the technology quickly.
- Hype cycleearly
AI in sports analysis is still in the early stages, with potential for mainstream adoption in the coming years.
Run the numbers
Before you make an offer
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