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Challenger · ELO ESTIMATE · 2026-07-12

O. Prihodko vs G. Crivellaro — prediction

Cordenons
✓ Correct
PRIHODKOWIN PROBABILITYCRIVELLARO
82%
Elo prob.
@1.07
odds · 93% impl.
Rest 5d vs 6d🎾Serve 65%📈Form 6/10
WHAT THE ESTIMATE IS BASED ON

Tour Elo: 1689 vs 1427 — favorite by rating

Challenger tier · 326 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.
@1.22
fair odds
−12.4%
expected value
HOW EACH FACTOR MATTERS
Level (Elo/ranking)▸ Prihodko●●●
Elo gap of 262 points (1689 vs 1427) reflects a clear class difference built over 326 tracked matches for the favorite.
Form▸ Prihodko●●●
Favorite is 7-3 in his last 10 (LWLWWWLWWL); opponent is on a 9-match losing streak (WLLLLLLLLL) with only 1 win.
Serve/return▸ Prihodko●●
Favorite wins 65% of service points and 36% on return, a strong two-way profile; no comparable numbers exist for the opponent.
Rest▸ Crivellaro
Opponent has one extra rest day (6 vs 5) and only 1 match in the last 14 days versus 3 for the favorite, limiting fatigue risk.
Level (Elo/ranking)= Even●●●
Market prices the favorite at 93% implied probability versus the model's 82%, producing a -12.4% expected value at 1.07 odds.
CLASS GAP

The 262-point Elo gap between Prihodko (1689) and Crivellaro (1427) is substantial in Challenger tennis, where such differences typically translate into lopsided win probabilities. The favorite's rating is also grounded in a deep sample of 326 matches, giving the number more stability than a rating built on a handful of results.

This gap alone explains most of the model's 82% probability for Prihodko. It is a rating-based edge, not a guarantee, but at this tier a 262-point spread usually signals a meaningful difference in shot quality and match-management ability.

FORM DIVERGENCE

The two players are moving in opposite directions. Prihodko's last 10 results (LWLWWWLWWL) show a 7-3 record with only a single-match losing streak currently active, indicating a player who is generally winning more than losing.

Crivellaro's record (WLLLLLLLLL) is the more telling data point: a 9-match losing streak with just one win in his last 10. Extended losing streaks at this level often reflect compounding issues — confidence, tactics, or conditioning — that don't reverse instantly, which reinforces the favorite's edge here.

SERVE STRENGTH

Prihodko's 65% serve-points-won rate is a strong number for the Challenger level, suggesting he holds serve comfortably and dictates play behind it. His 36% return-points-won rate adds a second dimension, meaning he also generates pressure on opponent service games rather than relying solely on his own serve.

No serve or return data exists for Crivellaro, so a direct style comparison isn't possible. What we can say is that the favorite's own numbers are solid enough to matter on their own — a 65% hold rate limits break-point opportunities regardless of what the opponent brings.

REST BALANCE

Rest slightly favors the opponent: Crivellaro has had 6 days since his last match against 5 for Prihodko, and has played only 1 match in the last 14 days compared to 3 for the favorite. In theory this gives Crivellaro fresher legs.

This factor is minor relative to the form and Elo gaps. A single extra rest day and a lighter recent schedule can matter over five sets, but it's unlikely to offset a 9-match losing streak or a 262-point rating disadvantage.

VALUE CHECK

The model gives Prihodko an 82% chance to win, but the market is pricing him even higher at 93% implied probability (odds of 1.07). That gap produces a -12.4% expected value, meaning that even though Prihodko is a clear favorite on form and rating, the price does not offer value at this line.

It's also worth remembering this estimate comes from a soft Elo-based Challenger model, not a fully validated pricing system — the market here is thin and less scrutinized than at tour level. Being the favorite is not the same as being a good bet: on the numbers given, this is a case of a strong favorite with a negative expected value at the quoted odds.

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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