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ITF · ELO ESTIMATE · 2026-07-09

A. Dougaz vs F. Virgili Berini — prediction

M15 Monastir 26
✓ Correct
DOUGAZWIN PROBABILITYBERINI
83%
Elo prob.
@1.02
odds · 98% impl.
Rest 1d vs 2d🎾Serve 64%📈Form 8/10 · 6✓
WHAT THE ESTIMATE IS BASED ON

Tour Elo: 1743 vs 1470 — 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

WATCH FOR

!Soft market: the value edge in Challenger/ITF is NOT proven live — treat it as an estimate, not an opportunity.

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.
@1.21
fair odds
−15.6%
expected value
HOW EACH FACTOR MATTERS
Level (Elo/ranking)▸ Dougaz●●●
Elo gap of 273 points (1743 vs 1470) signals a clear class difference, putting Dougaz at 83% in the model.
Serve/return▸ Dougaz●●
Dougaz wins 64% of service points and 30% on return, a solid two-way profile; no comparable numbers exist for Virgili Berini.
Form▸ Dougaz●●
Dougaz is on a 6-match win streak (WLWLWWWWWW) versus Virgili Berini's mixed 1-1 finish (LLWWLWLWLW), showing sharper momentum.
Rest▸ Berini
Dougaz has played 6 matches in 14 days on just 1 day of rest, a heavier load than Virgili Berini's 2 matches and 2 days off.
Value/Market= Even●●●
Odds of 1.02 imply 98% probability, well above the model's 83%, producing a -15.6% expected value on the favorite.
CLASS GAP

The Elo differential of 273 points (1743 vs 1470) is substantial for the ITF level and is the single biggest driver of the 83% favorite probability. This isn't a marginal rating edge — it reflects a real gap in tour-level results between the two players, even if the sample comes from a softer, less-analyzed Challenger/ITF market where such estimates carry more uncertainty than on the main tour.

Because this is an Elo-based read rather than a full statistical model, the gap should be treated as directionally reliable but not precise. It tells us who the stronger player is on paper; it does not tell us the match will be routine.

FORM AND SERVE PROFILE

Dougaz's recent form reinforces the rating gap: a six-match win streak (WLWLWWWWWW) shows he is playing with confidence right now, while Virgili Berini's LLWWLWLWLW pattern reflects a more inconsistent stretch with only a one-match win streak entering this contest.

On serve, Dougaz's 64% service-points-won rate is a strong number that should translate into comfortable holds, and his 30% return-points-won rate adds a complementary dimension to his game. No serve or return data exists for Virgili Berini, so a direct head-to-head comparison on these metrics isn't possible — but Dougaz's own numbers stand on their own as a positive indicator.

WORKLOAD FACTOR

One factor that tempers the favorite's case is scheduling: Dougaz has played 6 matches in the last 14 days and enters with just 1 day of rest, a notably heavier workload than Virgili Berini's 2 matches and 2 days of recovery. In best-of-three ITF matches this matters less than it would over five sets, but it's still a mild fatigue risk worth flagging, especially if the match extends to a deciding set.

VALUE READ

This is the key caveat: at odds of 1.02, the market is pricing Dougaz at roughly 98% to win, noticeably higher than the model's 83% estimate. That gap produces a -15.6% expected value, meaning the price offers no backing value even though Dougaz is clearly the stronger player.

Being the favorite is not the same as being a betting opportunity. The model and the market are both pointing to a likely Dougaz win, but the market has priced in more certainty than the data supports. Given this is a soft ITF market where Elo-based edges are unproven, there's no actionable value here — just a probable, but not attractively priced, favorite.

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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