Elofoot
⭐MRRdeals Score · 65/100Elofoot is an AI-powered football prediction platform that forecasts match outcomes, exact scores and scorers with market-leading accuracy. Built for the 2026 World Cup and beyond, it combines a polis
What this SaaS is
AI-powered platform predicting football match outcomes and scores.
- Match outcome predictions
- Exact score forecasts
- Scorer predictions
- No active customers— Zero customers reported. Hard to model retention or growth.
- Founded <12mo ago— Less than 12 months of operating history. Retention is unproven.
- Single acquisition channel— All customers come from one acquisition channel. Pull the plug and revenue dies.
Numbers that matter
Tech stack
Marketing channels
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 target audience is broad but focused on a specific niche within sports predictions.
- Saturationgrowing
The market for sports prediction is growing with increasing interest in AI applications.
- 3y trendgrowing
Interest in AI-driven predictions has surged, especially with upcoming major sports events.
- AI disruptionvulnerable
The product could be vulnerable as similar prediction models can be developed easily by competitors.
- Hype cycleearly
AI in sports prediction is still in the early stages, with potential for mainstream adoption.
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