ITF · ELO ESTIMATE · 2026-07-18

O. Krutykh vs T. Berkietaprediction

M15 Uslar
✓ Correct
KRUTYKHWIN PROBABILITYBERKIETA
63%
Elo prob.
@1.44
odds · 69% impl.
H2H 2–0 KrutykhRest 2d vs 1d📈Form 8/10 · 3✓
WHAT THE ESTIMATE IS BASED ON

Tour Elo: 1701 vs 1610 — favorite by rating

ITF tier · 353 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.
@1.60
fair odds
−9.7%
expected value
HOW EACH FACTOR MATTERS
Level (Elo/ranking)▸ Krutykh●●●
Krutykh's 1691 Elo tops Berkieta's 1620, translating to a 60%-40% model edge, the single largest input.
Head-to-head▸ Krutykh
Krutykh won the only prior meeting (2024), a small but concrete edge with no counter-evidence.
Form▸ Krutykh
Krutykh is 8-2 in his last 10 versus Berkieta's 7-3, a marginal recent-results edge.
Rest▸ Krutykh●●
Berkieta played just 1 day ago after a deep run to the M15 Uslar quarterfinals, adding fatigue risk against Krutykh's 2 days off.
Serve/return▸ Berkieta
Berkieta holds serve at 65% and returns at 45%, a solid combined profile; no comparable numbers exist for Krutykh.
Market value= Even●●●
Odds imply 69% for Krutykh vs the model's 60%, producing a -13.5% EV — no edge, and the market is soft (Elo-only, unproven).
RATING AND TRACK RECORD

Krutykh's Elo advantage (1691 vs 1620) is the backbone of his favorite status, worth a 20-point gap that the model translates into a 60% win probability. That gap is reinforced, not created, by the surrounding data: he beat Berkieta in their only previous meeting and carries a slightly better 10-match form line (8-2 vs 7-3), though neither difference is large enough to shift the projection meaningfully on its own.

Together these factors describe a favorite who is modestly but consistently ahead on the metrics available, rather than one with a dominant statistical case.

SCHEDULE AND FRESHNESS

Both players have been active, with four matches apiece in the last 14 days, but the immediate schedule tilts toward Krutykh. Berkieta played as recently as yesterday and reached the quarterfinals at this same M15 Uslar event, a deep run that raises fatigue risk heading into another match on one day of rest. Krutykh, by contrast, has had two days to recover.

This context does not guarantee a physical letdown for Berkieta, but it is a real asymmetry worth weighing alongside the rating gap.

SERVE PROFILE NOTE

The only serve/return data available belongs to Berkieta: a 65% hold rate paired with a 45% return-points-won mark, both respectable figures for the ITF level. Without equivalent numbers for Krutykh, this cannot be framed as a direct style matchup — it simply confirms Berkieta arrives with a functional, not fragile, service game, which tempers how lopsided this match should be read purely from Elo.

VALUE ASSESSMENT

The market prices Krutykh at 1.44, implying a 69% win probability — nine points above the model's own 60% estimate. That gap produces a -13.5% expected value, meaning the price does not compensate for the model's more moderate view of the favorite.

This is a soft, ITF-tier Elo market where edge is unproven even when the numbers align; here they do not. Krutykh remains the more likely winner on paper, but the odds do not offer value at this line, and the fatigue and serve-profile notes above suggest the match could be closer than the price implies.

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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