HOW EACH FACTOR MATTERS
Level (Elo/ranking)▸ Landaluce●●
Landaluce sits at #60 versus Zheng's #144, though the model's own baseline rate for him is just 46%, below his final 59%.
Serve/return▸ Zheng●●
Zheng's return (38%) beats Landaluce's (31%) by 7 points, which can offset the favorite's slim serve edge (67% vs 66%).
Form▸ Zheng●●●
Zheng is 8-2 over his last 10 with a win over C. Norrie (Elo 1905), while Landaluce is on a 4-match losing streak.
Rest▸ Landaluce●●
Zheng has played 4 matches in 14 days and returns just 3 days after a Bloomfield Hills semifinal, a fatigue risk flagged directly.
Market/Value▸ Landaluce●●●
The model gives Landaluce 59% versus the market's 43% implied probability, a 37.8% EV gap on the current 2.32 odds.
RANKING VS BASELINE
Landaluce's ranking edge (#60 vs #144) is the clearest structural advantage in this match, and it's real ground he holds regardless of recent results. But the model's baseline figure for him — 46% — sits well below the 59% final probability, meaning the ranking gap alone doesn't explain the full favorite tilt; other inputs (rest, market gap) are doing real work to lift him above that baseline.
This is worth flagging because a ranking advantage of this size normally translates into a stronger baseline number. The fact that it doesn't here suggests the model sees genuine uncertainty in Landaluce's underlying form, which lines up with the 4-match losing streak noted in the risk factors.
SERVE VS RETURN BATTLE
The serve numbers are close — 67% for Landaluce, 66% for Zheng — so neither player holds a decisive advantage on their own delivery. The separator is on return: Zheng converts 38% of return points against Landaluce's 31%, a 7-point gap that matters more over a full match than the 1-point serve difference.
Mechanically, this means Zheng is better equipped to generate break chances than Landaluce is to create pressure on return. If service games stay largely even, Zheng's superior return could be the swing factor in a tight set.
FORM AND FATIGUE
Zheng arrives with strong recent form — 8 wins in his last 10 matches, including a notable win over C. Norrie (Elo 1905) — despite dropping his most recent match. Landaluce, by contrast, is on a 4-match losing streak, a red flag the model explicitly lists as a risk.
Fatigue works the other way, however. Zheng has played 4 matches in the last 14 days and is back on court just 3 days after a semifinal run in Bloomfield Hills, which the deep-run fatigue flag calls out directly. That workload could blunt the sharpness his form numbers otherwise suggest.
VALUE READ
The model's 59% probability for Landaluce compares to a 43% market-implied probability at odds of 2.32, producing a stated EV of +37.8%. That is a large gap, and it's built on real, cited factors — the ranking difference, Zheng's rest disadvantage, and the baseline serve/return split.
Still, a positive EV read from a single model output is not a guarantee, and this model does not carry the disclosed accuracy caveats of the Elo/Challenger method here, so the gap should be treated as a data-supported lean rather than a sure thing. Landaluce's own losing streak and Zheng's superior return numbers are real counterweights that temper how confidently this edge should be treated.
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.