HOW EACH FACTOR MATTERS
Level (Elo/ranking)▸ Perego●●
Perego's 1498 Elo vs Pierre's 1411 gives a 62% model probability, already below the market's 68% implied read.
Form▸ Perego●
Perego ends his last10 (WWWLLLLLLW) on a win while Pierre's (LWLWLWLLWL) ends on a loss, a marginal momentum edge.
Rest▸ Pierre●●
Pierre has 7 days rest vs Perego's 1 day, despite both playing 2 matches in 14 days — fresher legs favor Pierre.
Market Value= Even●
Odds of 1.46 imply 68% for Perego, above the model's 62%; the -9.1% EV shows no backing value despite favorite status.
LEVEL GAP
G. Perego holds a clear rating edge, 1498 to 1411, translating to a 62% model probability of victory. That 87-point Elo gap reflects a meaningful quality difference at ITF level, where fewer matches are tracked and results can swing more.
Still, this is an Elo-only estimate for a soft Challenger/ITF market — the model's own notes flag the edge as unproven, so the gap should be read as a rough guide rather than a precise measure of superiority.
MOMENTUM AND FORM
Recent form is close but tilts slightly toward Perego. His last ten matches (WWWLLLLLLW) show he snapped a six-match losing run with his most recent win, putting him on a one-match streak. Pierre's form (LWLWLWLLWL) has been erratic, and he arrives having just lost his last outing, a one-match negative streak.
Neither player shows dominant form — both sit at four wins and six losses over their last ten — so this factor offers only a marginal edge rather than a decisive one.
REST DISADVANTAGE
Rest works against the favorite here. Perego has had just one day since his last match, compared to Pierre's seven, even though both have played two matches in the last 14 days. Short turnarounds can blunt physical sharpness, particularly late in a match.
This schedule-congestion flag is explicitly noted against Perego and should be weighed as a mitigating factor against his rating edge, without assuming it will decide the outcome on its own.
VALUE CHECK
The sportsbook prices Perego at 1.46, implying a 68% win probability — six points above the model's 62% estimate. That gap produces a -9.1% expected value, meaning the market is pricing in more certainty than the data supports.
Being favored is not the same as offering value: on this line, backing Perego shows no edge by the model's own numbers, and the soft nature of ITF Elo markets means this read should be treated as an estimate, not an actionable opportunity.
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.