HOW EACH FACTOR MATTERS
Level (Elo/ranking)▸ Tabilo●●●
Tabilo's Elo 1915 and rank #30 top Atmane's 1839/#52, driving the model's 56% vs 44% baseline split.
Surface▸ Atmane●●
On hard courts Atmane rises to 48%, 7 points above his 41% baseline, while Tabilo dips to 45%, 1 point below his 46%.
Serve/return▸ Atmane●●●
Atmane's 67% serve-points-won edges Tabilo's 62%; Tabilo's 32% return only partly offsets that gap.
Form▸ Tabilo●
Tabilo's 3-10 last-10 edges Atmane's 2-10, though Atmane's win over Tiafoe (Elo 2012) is the higher-quality result.
Rest▸ Atmane●●
Atmane rests 2 days with just 1 match in 14 days, while Tabilo carries 4 matches in the same span, risking fatigue.
Weather▸ Atmane●●
30°C heat speeds up the ball, amplifying the better server's edge — Atmane's 67% serve rate stands to benefit most.
LEVEL AND RANKING
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.
SURFACE AND SERVE MATCHUP
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.
FRESHNESS AND FORM
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.
HEAT AND CONDITIONS
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.
VALUE READ
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.
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.