Delta Sports
What this SaaS is
Tracks sharp betting activity, market edges, and line movement through a sports analytics dashboard.
- Sharp betting activity tracking
- Market edge analytics
- Real-time line movement tracking
- Whale Detector
- Sharp Props
- Regulatory risk niche— Trading / gambling / crypto / medical. One letter from a regulator can shut it down.
Numbers that matter
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 sports analytics market has a moderate size with increasing interest from consumers.
- Saturationgrowing
Competition exists, but the market is not yet fully saturated with similar offerings.
- 3y trendgrowing
The demand for sports analytics has been increasing as more consumers engage in betting.
- AI disruptionresilient
The AI-driven aspect provides a competitive edge that is not easily replicable by solo developers.
- Hype cyclemainstream
The use of analytics in sports is widely accepted and increasingly adopted by consumers.
Run the numbers
Before you make an offer
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