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Gian Luca Tanner vs Mario Gonzalez Fernandez

Tennis
2025-09-10 00:02
Start: 2025-09-11 08:00

Summary

Pick: home
EV: 0.055

Current Odds

Home 2.93|Away 1.364
Best Odds

Match Info

Match key: Gian Luca Tanner_Mario Gonzalez Fernandez_2025-09-11

Analysis

Summary: We find slight value on Gian Luca Tanner at 2.93 — we estimate his win probability at about 36%, producing a small positive EV (~5.5%) versus the market. This is a medium-risk, small-edge play driven by ITF volatility and Gonzalez's form/load.

Highlights

  • Home (Tanner) implied probability 34.1% vs our estimate 36.0%
  • Minimum fair odds for Tanner to be profitable: 2.778; current 2.93 exceeds that

Pros

  • + Underdog price reflects market overconfidence in favorite at ITF level
  • + Clay surface and recent opponent fatigue increase upset likelihood

Cons

  • - Small sample size and limited data on Tanner increase uncertainty of the true probability
  • - Edge is modest (EV ~5.5%) and vulnerable to variance in a single match

Details

The market prices Mario Gonzalez Fernandez as a heavy favorite (implied away win ~73.3%), while Gian Luca Tanner is available at 2.93 (implied ~34.1%). We estimate Tanner's true chance higher than the market-implied 34.1% because: (1) both players are clay specialists so surface advantage is muted and leads to higher variance; (2) Gonzalez has a heavy recent match load and visible recent losses in clay events, increasing upset risk; (3) Tanner, despite a small sample, has shown competitive clay results and service/first-serve metrics in recent matches that make him capable of pushing outcomes in ITF-level events. Using a conservative true probability of 36.0% for Tanner yields positive expected value at the current decimal odds (2.93). The edge is modest and comes with typical ITF volatility, so the recommendation is a small-value play rather than a heavy conviction stake.

Key factors

  • Clay surface levels variance and tends to compress expected differences
  • Gonzalez has a heavy recent match schedule with recent losses that raise upset probability
  • Tanner's limited sample on clay but competent recent service/first-serve metrics for ITF level
  • Market skews toward favorites in lower-tier events, creating value on underdogs