SportsApi Pro
🔥MRRdeals Score · 70/100SportsAPIPro delivers real-time scores, match events, lineups, standings, historical data, and odds across 20+ sports and 15,000+ competitions worldwide.
What this SaaS is
Provides real-time sports data API for developers including scores, events, and historical data.
- Real-time scores
- Match events
- Historical data
- Odds across sports
- API for developers
- Founded <12mo ago— Less than 12 months of operating history. Retention is unproven.
- No active customers— Zero customers reported. Hard to model retention or growth.
- Single acquisition channel— All customers come from one acquisition channel. Pull the plug and revenue dies.
Numbers that matter
Tech stack
Score breakdown
How the composite score above splits across seven independent signals. Each axis is graded 0-100. Hover for details.
Payback period, asking price vs category median multiple, and 30-day profit margin.
30-day MRR delta, with a small bonus when historical snapshots confirm a sustained climb.
Revenue per visitor, customer count, plus live-site UX signals (pricing reachability, core pages, copyright freshness).
AI-disruption risk, presence on review platforms (G2, ProductHunt, AppSumo…), penalty when built on no-code rails.
Diversity of marketing channels, Merchant-of-Record status, cofounder count. Solo founders and no-code stacks get docked.
Listing freshness, payment provider trust, business age, customer concentration. Higher score = less risky.
Structured market read across TAM, saturation, 3-year trend, and hype cycle, blended with our category momentum signal.
Market read
- TAMmid
The market for sports data APIs is sizable but not enormous, catering to a specific developer audience.
- Saturationmature
Many players exist in this space, indicating a mature market with established competitors.
- 3y trendgrowing
The demand for real-time sports data has been increasing, driven by growth in sports betting and fantasy sports.
- AI disruptionresilient
The complexity of aggregating and providing real-time sports data makes it less susceptible to simple AI disruption.
- Hype cyclemainstream
The use of sports data APIs is widely accepted and utilized in various applications, placing it in the mainstream phase.
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