Alejandro Tabilo vs Terence Atmane — prediction
Consistent bounce, medium-fast: neutral conditions, no style favored.
Surface feeds the model — surface specialization is one of its factors.
›Ranking: #30 vs #52 (better ranked)
›Model 56% vs market 49% → the model sees it as MORE likely than the odds
›Recent form: 4/10 in recent matches
›Match-sharp: 4 matches in the last 2 weeks
Tabilo holds a clear structural edge: a 76-point Elo gap (1915 vs 1839) and a 22-spot ranking advantage (#30 vs #52) both point to a higher overall level of play. The calibrated model translates this into a 56% win probability for Tabilo, a modest but real edge built on sustained results over time rather than recent form, which has been shaky for both.
This is the most decisive tactical factor. Atmane serves better in isolation (67% vs 62%), but Tabilo's return game is the bigger separator: he wins 37% of return points against Atmane's 27%. That 10-point return gap exceeds Atmane's 5-point serve edge, meaning Tabilo is better equipped to break patterns and generate opportunities than Atmane is to hold his own service dominance against Tabilo's return.
The hard-court numbers lean toward Atmane, whose 48% surface rate is 7 points above his 41% baseline, suggesting he performs above his general level on this surface. Tabilo's 45% is essentially flat relative to his 46% baseline, showing no similar surface boost.
Scheduling adds a wrinkle: Tabilo has played four matches in the last two weeks compared to Atmane's one, a workload difference that can accumulate physically over a best-of-three or five-set match even though Atmane himself had only one day of rest since his last outing.
The model's 56% is 7 points above the market-implied 49% (from odds of 2.03), producing a headline EV of +14.1%. That gap is worth noting but should be read with restraint: the model leans on Elo and ranking trends that Atmane's surface edge and fresher schedule partly offset.
Being the favorite here does not equate to a safe or guaranteed outcome — recent form for both players has been poor, and the surface/rest signals cut against Tabilo's structural edge. This is a case where the numbers suggest modest value, not a lock.
Impact and analysis from real match data (Elo, form, head-to-head, rest, surface vs baseline, weather, altitude). The model ≈ the market on average; the odds already capture almost all the edge. 18+ · gamble responsibly.