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Amaury Raynel vs Alexis Gautier

Tennis
2025-09-09 00:05
Start: 2025-09-10 08:00

Summary

Pick: home
EV: 0.133

Current Odds

Home 2.42|Away 1.53
Best Odds

Match Info

Match key: Amaury Raynel_Alexis Gautier_2025-09-10

Analysis

Summary: We recommend backing the home player Amaury Raynel at 2.36 — our model estimates a 48% win probability versus the market-implied ~42.4%, producing ~13.3% EV.

Highlights

  • Implied probability for Raynel is 42.4% vs our 48% estimate
  • Required fair odds for value are ≤ 2.083; current price 2.36 offers value

Pros

  • + Higher estimated true win probability than the market implies
  • + Broader surface experience and slightly stronger recent outcomes in the provided data

Cons

  • - Both players have modest overall records — outcomes can be volatile at ITF level
  • - Research sample is limited and recent match details are somewhat inconsistent, raising uncertainty

Details

We find value on Amaury Raynel at 2.36. The market implies Raynel's win probability at ~42.4% (1/2.36) while Alexis Gautier is priced as a clear favorite (implied ~66.0%). From the provided profiles Raynel has a superior overall win-rate (23-23 vs 15-20) and experience on both clay and hard, whereas Gautier's profile lists only hard and shows recent losses at M25 level. Gautier's short-term form data in the research indicates multiple recent defeats, which weakens the heavy favorite price. We estimate Raynel's true win probability at 48% based on relative records, surface coverage, and recent results, which prices his fair decimal odds at ~2.083. At the listed 2.36 this produces positive edge: EV = 0.48 * 2.36 - 1 = +0.133 (13.3% ROI). The market appears to overvalue Gautier relative to the on-paper match-up and recent form, creating value on Raynel.

Key factors

  • Raynel has a better overall recent win-loss profile and plays on both clay and hard
  • Gautier's recent match list shows multiple losses at M25 level on hard, indicating weakened short-term form
  • Current market price (2.36) implies less chance than our estimated probability, creating positive edge