Gianluca Cadenasso vs Jelle Sels
Summary
Match Info
Analysis
Summary: We see value on Jelle Sels at 2.53 due to grass surface fit and limited grass evidence for Cadenasso; at our 43.5% win estimate Sels offers ~10% EV.
Highlights
- • Sels priced at 2.53 (implied 39.5%) appears undervalued versus our 43.5% estimate
- • Grass surface and Cadenasso's clay/hard history tilt probability toward Sels
Pros
- + Positive expected value at current widely-available price (EV ≈ 0.101)
- + Surface match-up favors player with documented grass experience
Cons
- - Published player data is limited and recent form shown is predominantly on clay — introduces uncertainty
- - No head-to-head or detailed grass-form metrics available in the supplied research
Details
We find value on Jelle Sels at the current away price (2.53). The market implies Sels has ~39.5% chance (1/2.53) but our assessment, based on surface and player profiles, places his win probability higher (~43.5%). Key inputs: the match is on outdoor grass and Sels' profile lists grass among surfaces he has played, whereas Gianluca Cadenasso's available match history is concentrated on clay/hard with little or no documented grass experience — this raises uncertainty about Cadenasso's edge on grass despite the shorter odds. Sels also has a much larger match sample (74 matches) and mixed outcomes that include grass, suggesting his game is at least serviceable on this surface. Comparing probabilities: implied P(Sels)=0.395 vs our P(Sels)=0.435 yields positive expected value: EV = 0.435 * 2.53 - 1 = +0.101 (≈10.1% ROI on a 1-unit stake). Given that our model is conservative and the available data leans toward Sels being underpriced on grass, we recommend backing the away player at current prices.
Key factors
- • Surface is outdoor grass and Sels has recorded grass matches while Cadenasso's recent/documented matches are clay/hard
- • Market implies Sels ~39.5% but we estimate ~43.5%, creating value at 2.53
- • Sels has larger match sample (74 matches) vs Cadenasso (42), reducing variance of our estimate