Alejandro Tabilo vs Terence Atmane — prediction

Tabilo carries the clearer overall level: an Elo of 1915 against Atmane's 1839, and a ranking of #30 versus #52. That gap is the backbone of the model's 56% probability for Tabilo, reflecting a meaningfully stronger track record across the tour rather than any single recent result.

Still, the margin is not overwhelming — a 76-point Elo gap and 22 ranking spots translate into a moderate, not dominant, edge. This factor sets the baseline expectation, but the match's other variables (serve strength, surface fit, rest) complicate the picture materially.

The hard court in Washington tilts slightly toward Atmane, whose surface-adjusted rate of 48% sits 7 points above his own 41% baseline — a real in-context improvement. Tabilo, by contrast, is marginally below his norm here, at 45% versus a 46% baseline, suggesting the conditions do not amplify his game.

Layered on top is the serve/return battle: Atmane's 67% serve-points-won is the single largest number in this data set, outpacing Tabilo's already-strong 62%. Tabilo's 32% return rate is solid and higher than Atmane's 27%, but it does not fully cancel out Atmane's serving power, especially on a surface that already suits him.

Neither player arrives in strong form — Tabilo is 3-7 and Atmane 2-8 over their last 10 — but Tabilo's slightly better record is offset by the quality of Atmane's best win, a victory over Tiafoe (Elo 2012), which outranks Tabilo's best result against Majchrzak (Elo 1937).

Physically, Atmane looks fresher: 2 days of rest and only 1 match in the last two weeks, compared to Tabilo's 3 days of rest after 4 matches in the same span. Over a best-of-three or five-set match, that workload difference can matter late, particularly combined with the day's heat.

At 30°C with 43% humidity and 19 km/h wind, the match sits in hot, dry, moderately breezy conditions. Heat generally speeds up the ball and rewards the bigger server — here that's Atmane, whose 67% serve-points-won is the standout number in the data. This condition does not create a new advantage so much as reinforce one Atmane already holds through his serve.

The model rates Tabilo at 56%, versus a market-implied 49% (odds of 2.06), producing a modeled edge of +15.8%. That is a real gap on paper, and it stems mainly from the Elo/ranking level advantage rather than from serve, surface, or rest — all of which lean toward Atmane individually.

Because the model and market are built to track each other on average, a double-digit edge like this should be treated as a moderate signal, not a certainty — especially with Atmane's serve, surface fit, and fresher legs all working in the opposite direction. This is a case where the favorite and the value pick align, but the underlying factors are more split than the single headline number suggests.