30 Days, 60 Bets, 164% Bankroll Growth with EdgeHawk’s AI Research Engine
1. The Challenge
Sports betting takes time and discipline. Manually digging through stats and injury reports not only eats up hours but often leads to inconsistent bet sizing and emotional decision-making. The question:
Could EdgeHawk’s AI-powered research engine deliver a more systematic, profitable approach over time?
2. The Approach
- We tested EdgeHawk daily for 30 days, across multiple sports.
- Each day, between 1 and 3 bets were placed.
- EdgeHawk’s Kelly Criterion–based recommendations determined bet sizing, not arbitrary “units.”
- This ensured every bet was proportionally sized to the calculated edge, protecting the bankroll and maximizing growth.
3. The Results
- Total Bets: 60 (40 wins, 20 losses)
- Win Rate: 66.7%
- Return on Investment (ROI): 49.67%
- Bankroll Growth: 164% over the 30-day period
Even with losses, disciplined bet sizing + AI-backed research led to significant growth, proving the process is more important than any single bet.
4. Key Insights
- Research Efficiency: Analysis that would normally take hours per slate was completed in minutes.
- Consistency Beats Emotion: Kelly-based sizing avoided “chasing” or overbetting after wins/losses.
- Cross-Sport Edge: EdgeHawk delivered profitable bets across multiple leagues, not just one.
5. The Takeaway
This 30-day trial wasn’t about “picks of the day” — it was proof that EdgeHawk’s research-first, data-driven approach can create long-term, compounding results.
EdgeHawk isn’t a magic win button. It’s a smarter way to research, size, and manage bets — in minutes, not hours.
👉 Ready to save hours of research and find your edge? Start your free trial today.