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Tina Nadine Smith vs Noma Noha Akugue

Tennis
2025-09-14 18:48
Start: 2025-09-15 08:00

Summary

Pick: home
EV: 0.396

Current Odds

Home 3|Away 1.395
Best Odds

Match Info

Match key: Tina Nadine Smith_Noma Noha Akugue_2025-09-15

Analysis

Summary: We recommend betting the home player as value at 2.97: our estimated win probability (47%) implies a min fair price ~2.128 and yields ~39.6% EV at current odds.

Highlights

  • Market implies away win ~71% despite no clear evidence in the supplied profiles
  • Home odds 2.97 exceed our required fair odds (2.128) -> positive EV

Pros

  • + Strong relative value vs. market-implied probability
  • + Decision based on parity in the supplied performance data rather than guessing an edge

Cons

  • - Limited information: no H2H or recent injury/withdrawal detail in the research
  • - Qualifiers and small-sample records increase variance; result still uncertain despite positive EV

Details

We find value on the home moneyline. The market currently prices the away player as a heavy favorite (decimal 1.402 -> implied ~71.4%) while Tina Nadine Smith is offered at 2.97 (implied ~33.7%). The provided player profiles show nearly identical career records (both 10-21), identical recent-form markers, and no clear surface or form edge for the away player in the research. Given the symmetry in available performance data and absence of any differentiator, we estimate the home player’s true chance materially higher than the market-implied ~33.7%. Using a conservative true probability of 47%, the home line of 2.97 is mispriced: expected value EV = 0.47 * 2.97 - 1 = 0.396 (39.6% ROI). The bookmaker’s pricing also contains an overround (~4.97%), so the market implied edge to the favorite looks inflated relative to the comparable profiles.

Key factors

  • Both players have effectively identical records and recent results in the provided research (10-21), giving no clear superiority to the away favorite
  • Current market prices imply an outsized advantage to the away player (implied ~71%) which is not supported by the supplied profiles
  • Absence of head-to-head, injury, or surface advantage data in the research means we should lean toward pricing symmetry; the home decimal 2.97 exceeds our break-even threshold