›Tour Elo: 1743 vs 1407 — favorite by rating
›ITF tier · 352 matches in the favorite's track record
›Elo estimate (not the ATP factor model): these are softer, less-analyzed markets
!Soft market: the value edge in Challenger/ITF is NOT proven live — treat it as an estimate, not an opportunity.
The 336-point Elo gap between Dougaz (1743) and Stepanov (1407) is substantial for the ITF/Challenger tier and is the single biggest driver of the 87% favorite probability. At this level, a gap of this size typically reflects a real difference in shot quality and consistency, not just a hot streak.
This isn't a marginal favorite situation — the rating spread alone would justify heavy favoritism even before layering in the momentum and serve data below.
Form splits sharply: Dougaz has won 6 straight matches, while Stepanov has dropped 4 in a row and won only 3 of his last 10. Momentum in tennis compounds — confidence on break points, service holds, and shot selection all trend with recent results, and this gap reinforces the Elo-based edge rather than offsetting it.
There's no head-to-head data to check whether Stepanov has ever troubled Dougaz personally, so the model leans entirely on the aggregate numbers, which all point the same direction.
Rest cuts the other way, though only modestly. Dougaz has played 6 matches in the last 14 days with just 3 days since his last outing — a heavy load that could mean tired legs in a decisive third set. Stepanov, by contrast, has had a full week off but only 1 match in that span, which could mean he's undercooked and short on rhythm rather than genuinely rested.
Given the size of the Elo and form gaps, this factor is unlikely to swing the outcome on its own, but it's the one data point that doesn't point toward Dougaz.
Dougaz's 64% rate on service points won is a strong number, and paired with a 30% return rate it suggests a player who controls his own service games while still getting some looks on return. No serve or return numbers exist for Stepanov, so a direct comparison isn't possible — but Dougaz's marks alone support a game built on holding serve reliably, which matters most in tight ITF matches.
At odds of 1.11, the market implies a 90% win probability for Dougaz, while the model lands at 87% — producing a -3.1% expected value. That's a small but real gap: even with all the underlying factors (Elo, form, serve strength) pointing toward Dougaz, the price is not favorable, meaning the market is squeezing out more certainty than the model can justify.
Remember this method relies on Elo in a soft ITF market, so any edge here is unproven and shouldn't be treated as a genuine opportunity — being the heavy favorite is not the same as being good value.
Impact and analysis from real match data (Elo, form, head-to-head, rest, surface vs baseline, weather, altitude). Soft-market estimate: the value is unproven live. 18+ · gamble responsibly.