Challenger · ELO ESTIMATE · 2026-07-20

S. Kozlov vs R. Pascual Ferraprediction

Bloomfield Hills
✗ Missed
KOZLOVWIN PROBABILITYFERRA
63%
Elo prob.
@1.44
odds · 69% impl.
🎾Serve 61%📈Form 6/10
WHAT THE ESTIMATE IS BASED ON

Tour Elo: 1737 vs 1641 — favorite by rating

Challenger tier · 236 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.
@1.58
fair odds
−8.6%
expected value
HOW EACH FACTOR MATTERS
Level (Elo/ranking)▸ Kozlov●●●
Elo gap (1737 vs 1641) gives Kozlov a 63% model win probability, but the market prices him at 69% — a softer edge than it looks.
Form▸ Ferra●●●
Pascual Ferra rides a 6-match win streak (8-2 last 10) while Kozlov is 6-4 with just a 1-match streak — clear momentum shift.
Rest▸ Ferra●●
Both had 1 day of rest, but Kozlov played 5 matches in the last 14 days vs only 1 for Pascual Ferra — more accumulated load on the favorite.
Serve/return▸ Kozlov
Kozlov wins 61% of service points, a solid weapon at Challenger level; no comparable number exists for the opponent.
Match congestion= Even
Both players reached the same semifinal at Bloomfield Hills 1 day ago, so deep-run fatigue is shared evenly.
LEVEL VS MARKET

Kozlov's Elo advantage (1737 vs 1641) supports his favorite status and produces a 63% model probability. That is a real but moderate gap, not a dominant one — the kind of edge that can be erased by short-term form or workload swings in a Challenger field.

The market, however, prices him higher at 69% implied probability. That gap between model and market is the central story of this match: the number itself doesn't say Kozlov is overrated in absolute terms, just that the price is asking for more certainty than the rating gap actually provides.

FORM DIVERGENCE

Pascual Ferra arrives red-hot, having won 8 of his last 10 matches and currently riding a 6-match win streak. Kozlov, by contrast, is 6-4 over the same span with a streak of just one — meaning his run has been uneven, not building.

This split in trajectory doesn't override the Elo gap, but it does chip away at the case for treating Kozlov as a clear, in-control favorite. Momentum matters most when the underlying levels are close, and here the levels are close enough for form to be a genuine swing factor.

WORKLOAD LOAD

Both players are working on one day of rest, so recovery time is equal on paper. But the volume behind that rest is not: Kozlov has played 5 matches in the last 14 days versus only 1 for Pascual Ferra. That kind of workload differential can show up in legs and focus over a best-of-three or best-of-five format, even when the calendar gap looks identical.

Combined with the deep semifinal run both players share from the same event a day ago, the physical picture leans slightly toward Pascual Ferra being fresher despite the shorter turnaround appearing symmetric.

VALUE READ

Kozlov is the favorite by rating, and there's a plausible serve-based case for him — his 61% service-points-won mark is a real weapon at this level, even though no comparable number exists for Pascual Ferra to weigh against it.

But being the favorite is not the same as being the value. The model's own 63% is meaningfully below the market's 69%, and the expected value here comes out at -8.6%. Add in the opponent's clear form and rest advantages, and this is a case where the price is asking bettors to pay for more confidence than the data currently supports. Treat this as a soft-market estimate, not a live 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.

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