A. Rybakov vs B. Blaydes — prediction

M25 Roehampton

RYBAKOVWIN PROBABILITYBLAYDES

66%

Elo prob.

@1.53

odds · 65% impl.

🎾Serve 66%📈Form 6/10

CONDITIONS OF THE MATCH◆ in the model◇ context

Surface◆

Grass

Fast court, low bounce: rewards the serve and short points.

Surface feeds the model — surface specialization is one of its factors.

WHAT THE ESTIMATE IS BASED ON

›Tour Elo: 1620 vs 1504 — favorite by rating

›ITF tier · 285 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.

@1.51

fair odds

+1.1%

expected value

BREAKDOWN · ELO ESTIMATE

The model makes A. Rybakov the favorite with a 66% win probability, against B. Blaydes's 34% — a solid favorite, though Blaydes keeps real chances. Converted to odds, that probability is worth about @1.51; the offered odds are around @1.53 (a 65% implied), virtually the same as what the market prices in.

Several factors explain the number: 1620 vs 1504 — favorite by rating; itf tier · 285 matches in the favorite's track record; these are softer, less-analyzed markets.

Read it with caution. This number does NOT come from the ATP factor model, but from the tour's real Elo: it ranks who is the favorite well, but it is a coarser estimate. Being the favorite is not being the winner: roughly 34 out of every 100 times Blaydes wins. And above all, in Challenger/ITF the value edge is not proven live, so treat it as a reference, not an opportunity. Watch out for: Soft market: the value edge in Challenger/ITF is NOT proven live — treat it as an estimate, not an opportunity.. This is informational analysis, not a betting recommendation. 18+ · play responsibly.

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The value read of A. Rybakov vs B. Blaydes — fair odds, expected value, and the factor-by-factor breakdown.

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