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Pierre Delage vs John Echeverria

Tennis
2025-09-04 19:04
Start: 2025-09-05 09:30

Summary

Pick: home
EV: 0.14

Current Odds

Home 1.06|Away 37.47
Best Odds

Match Info

Match key: Pierre Delage_John Echeverria_2025-09-05

Analysis

Summary: We find value on Pierre Delage at 2.85: our conservative 40% true-win estimate produces a positive EV of ~0.14 per unit, so the home side is recommended at current prices.

Highlights

  • Pierre's career win rate is comparable or better than John's despite being the underdog in the market
  • Recent hard-court losses for John suggest form/transition risk on clay

Pros

  • + Price (2.85) implies a low probability versus our higher estimated true chance
  • + Surface alignment and recent clay activity favor Pierre relative to John's recent hard-court results

Cons

  • - Data set is small and both players have limited high-level history — estimation uncertainty is significant
  • - No head-to-head or explicit injury information is available; market may correctly account for unseen factors

Details

We see the market strongly favoring John Echeverria at 1.38 (implied ~72.5%), but the player profiles show similar career win rates (Pierre 20-14, John 19-18) and both primarily play clay/hard. Recent inputs show Pierre with recent clay activity and a mixed but solid record, while John’s recent listed matches are hard-court losses, suggesting form/transition risk to clay. Given the limited data but comparable career records and a likely clay setting (Bagneres-De-Bigorre), we estimate Pierre’s true win probability materially above the market-implied 35.1% for 2.85. Using a conservative true probability of 40%, the 2.85 price yields positive expected value (EV = 0.14 per unit). Because expected_value > 0 at the current price, we recommend the home (Pierre Delage) at available odds of 2.85.

Key factors

  • Market implies heavy favorite for John (1.38) despite similar career win rates
  • Pierre has recent clay match activity while John's recent listed matches are on hard with losses
  • Limited sample sizes and recent-form nuance create pricing inefficiencies the market may be overstating