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ATP · ELO ESTIMATE · 2026-07-13

F. Marozsan vs J. C. Prado Angelo — prediction

MAROZSANWIN PROBABILITYANGELO
64%
Elo prob.
@1.30
odds · 77% impl.
🌡30° · 37% humRest 12d vs 1d🎾Serve 65%📈Form 5/10
WHAT THE ESTIMATE IS BASED ON

Tour Elo: 1883 vs 1785 — favorite by rating

ATP qualifying / early round · 323 matches in the favorite's track record

Elo estimate (not the ATP factor model): qualifying draws have no clean main-tour history

WATCH FOR

!Qualifying/soft context: Elo estimate only — read the round context (already-through, lucky loser, dead rubber) from the dossier; it is not a proven edge.

Tour Elo estimate (Challenger/ITF markets, not covered by the factor model). The value edge here is unproven live — it's a reference, not a recommendation. 18+ · gamble responsibly.
@1.57
fair odds
−17.2%
expected value
HOW EACH FACTOR MATTERS
Level (Elo/ranking)▸ Marozsan●●●
98-point Elo gap (1883 vs 1785) makes Marozsan the stronger rated player, backed by a top-53 ranking.
Rest▸ Marozsan●●●
Prado has just 1 day rest after 4 matches in 14 days, including an Umag final; Marozsan rests 12 days.
Serve/return▸ Marozsan●●
Marozsan's 65% serve vs Prado's 34% return nets 31 points; Prado's 61% serve vs Marozsan's 32% return nets only 29.
Form▸ Marozsan●●
Marozsan's 6-4 last-10 includes wins over higher-Elo Molcan (1926) and Tabilo (1925); Prado's 5-5 run has no listed quality wins.
Weather▸ Marozsan
Hot, dry air (30°C, 40% humidity) speeds up the ball, a small edge to the better server: Marozsan's 65% vs Prado's 61%.
Value (odds vs model)= Even●●●
Odds of 1.25 imply 80% for Marozsan, well above the model's 64%, producing a -20.3% expected value.
LEVEL AND FORM

Marozsan enters with a clear rating edge, 1883 to 1785, and a ranking of 53 versus an unranked opponent in the data — both point to a quality gap that generally holds up over best-of-three ATP tennis. His recent form reinforces this: a 6-4 last-10 record featuring wins over Molcan (Elo 1926) and Tabilo (Elo 1925) shows he can compete with, and beat, players rated above him.

Prado's 5-5 last-10 stretch carries no listed quality wins, and while his 2-match win streak is a positive sign, it doesn't offset the absence of any notable scalps. Marozsan's own -1 streak (a recent loss) tempers his form slightly, but the underlying rating and quality-win gap still favor him on paper.

REST AND FATIGUE

The rest disparity is the sharpest asymmetry in this match. Prado has had only 1 day off after playing 4 matches in the last 14 days, including reaching the final at this same Umag event a day ago. Marozsan, by contrast, has had 12 days to recover with just 2 matches in the same window.

Physical fatigue compounds over a five-set-style workload even in best-of-three, and a player coming off a deep run with almost no recovery time is at a tangible disadvantage against a well-rested opponent. This is a structural factor working against Prado independent of raw skill level.

SERVE, RETURN AND CONDITIONS

On the numbers, Marozsan holds a small serve-return edge in both directions: he wins 65% of his own service points against Prado's 34% return rate (a 31-point net), while Prado's 61% serve against Marozsan's 32% return produces a slightly smaller 29-point net. This is a marginal, not decisive, advantage.

The forecast — 30°C, 40% humidity, light 11 km/h wind — is hot and dry, which tends to speed up the ball and slightly reward the better server. Since Marozsan's 65% serve rate outpaces Prado's 61%, these conditions offer him a small additional nudge, though not a major swing factor on their own.

VALUE READ

Being the favorite is not the same as being a value bet. The model gives Marozsan a 64% win probability, but the market, via odds of 1.25, is pricing him at an implied 80%. That gap produces a -20.3% expected value, meaning the market has already priced in more certainty than the model supports.

This method is Elo-based on a soft Challenger/ITF-style market, so any edge here is unproven rather than confirmed. Combined with the schedule and fatigue context favoring Marozsan, the underlying pick still looks sound, but backing him at these odds offers no demonstrated value — the price simply does not match the model's estimate.

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.

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