R. Perot vs V. Dullinger — prediction
›Tour Elo: 1674 vs 1462 — favorite by rating
›ITF tier · 101 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 rating separation between Perot (1674) and Dullinger (1462) is the core driver of this line, translating into a 77% model probability for the favorite. This is a soft ITF Elo estimate, not a fully modeled ATP-style forecast, so the edge should be read as directional rather than precise.
Still, a gap of over 200 Elo points at this level typically reflects a real difference in match-toughness and consistency, and it's the single largest factor pushing probability toward Perot in this matchup.
Perot's own numbers — 60% service points won and 43% on return — describe a player who can both hold comfortably and pressure opposing serves, a useful two-way profile in a single match. Without any serve or return figures for Dullinger, this can only be read as a positive marker for Perot in isolation, not as a head-to-head comparison.
There simply isn't data to say Dullinger's return or serve is weaker; the numbers we have only confirm that Perot's own game has no glaring hole to exploit.
Over the last 10 matches, Perot has a 6-4 record compared to Dullinger's 4-6, a modest recent-form edge, though both players carry only a 1-match winning streak into this one, so momentum is not strongly separating them.
Scheduling adds a small tilt too: Dullinger has played 2 matches in the last 14 days and is working on just 1 day of rest, while Perot has played once and has had 2 days to recover. This is a minor factor, not decisive on its own.
Being the favorite is not the same as being a value bet. The model gives Perot a 77% chance to win, but the market, at 1.13 odds, implies 88% — a gap that produces a -12.8% expected value. On average, backing him at this price loses money over time, even though he is more likely than not to win the match.
This Elo-based estimate is also drawn from a softer Challenger/ITF market where pricing efficiency is unproven, so the model's edge — or lack of it — should not be treated as a confirmed signal. Honestly, there's no value here: Perot is the likely winner, but the price already reflects that and more.
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.