Federico Iannaccone vs Alejandro Moro Canas
Summary
Match Info
Analysis
Summary: We find no value at current prices: the market overprices Moro Canas at 1.03 relative to our ~90% estimate, producing negative EV, so we recommend no bet.
Highlights
- • Away favorite price (1.03) implies ~97% — we estimate ~90% true chance
- • Negative EV on the favorite (≈ -7.3% ROI) so no value to take
Pros
- + Moro Canas is the stronger market and has broader surface experience
- + Both players show substantial Challenger-level match history to inform a probability estimate
Cons
- - Market margin squeezes any value — favorite price is too short to offer positive EV
- - Limited actionable differentiators (no injuries, H2H, or recent clear form edge) meaning upset is unlikely but not priced attractively
Details
We estimate Alejandro Moro Canas is the clear favorite based on comparable Challenger-level records and broader surface experience, but the market price of 1.03 (implied ~97.1%) overstates his true win probability. Using the match research, both players have similar win-loss records (Iannaccone 29-27; Moro Canas 30-33) and recent clay activity, so a realistic estimate for Moro Canas is roughly 90% rather than the market's ~97%. At that estimated probability the away price of 1.03 yields negative expected value (EV = 0.90 * 1.03 - 1 = -0.073). The long home price (12.0) would require an unrealistically high upset probability (~8.33% implied vs our estimate for home of ~10%), but given limited evidence of a true upset likelihood above the implied probability and no H2H or injury information to suggest a swing, neither side offers positive value at current prices. Therefore we decline to recommend a bet.
Key factors
- • Market heavily favors Moro Canas at 1.03 (implied ~97%), which we view as overstated versus observable form
- • Both players have similar Challenger-level records and recent clay matches, giving only a moderate edge to Moro Canas
- • No injury or H2H data provided that would justify a large deviation from our probability estimate