MODEL PREDICTION · 2026-09-02
HARD

Andrey Rublev vs Daniel Merida Aguilarprediction

✗ Missed
RUBLEVWIN PROBABILITYAGUILAR
55%
model prob.
@1.75
odds · 57% impl.
Rest 2d vs 3dHard 55%🎾Serve 65%📈Form 7/10
CONDITIONS OF THE MATCHin the modelcontext
Surface
Hard

Consistent bounce, medium-fast: neutral conditions, no style favored.

Temperature
23°C

Mild: neutral conditions.

Humidity
79%

Very humid air: the ball gets heavy and points stretch out.

Wind
9 km/h

Light wind: no noticeable effect.

Surface feeds the model (surface specialization is one of its factors). Weather and altitude are context we publish for you — they do NOT move the probability.

OUR MODEL'S REASONING

Ranking: #24 vs #39 (better ranked)

Solid on Hard: 62% career on the surface

Recent form: 7/10 in recent matches

Calibrated model probability (~65% out-of-sample accuracy). Not a guarantee: the model ≈ the market on average, so the odds already capture almost all the edge. 18+ · gamble responsibly.
@1.81
fair odds
−3.5%
expected value
BREAKDOWN · MODEL ANALYSIS

The model makes Andrey Rublev the favorite with a 55% win probability, against Daniel Merida Aguilar's 45% — a tight match, without a wide margin. Converted to odds, that probability is worth about @1.81; the offered odds are around @1.75 (a 57% implied), virtually the same as what the market prices in.

Several factors explain the number: #24 vs #39 (better ranked); 62% career on the surface; 7/10 in recent matches.

Read it with perspective. Our probability is calibrated — when the model says 55%, that outcome happens roughly that percentage of the time, with ~65% out-of-sample accuracy — but being the favorite is not being the winner: roughly 45 out of every 100 times Aguilar wins. The model also tends to agree with the market, so the odds already capture almost all the edge: don't take it as a sure value. This is informational analysis, not a betting recommendation. 18+ · play responsibly.

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