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MODEL PREDICTION · 2026-08-26
HARD

P. Hon vs J. Garlandprediction

✗ Missed
HONWIN PROBABILITYGARLAND
51%
model prob.
@2.13
odds · 47% impl.
Hard 42%🎾Serve 59%📈Form 2/10
CONDITIONS OF THE MATCHin the modelcontext
Surface
Hard

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

Temperature
27°C

Warm: the ball flies a little more and fitness counts.

Humidity
49%

Dry air: the ball travels normally.

Wind
12 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: #156 vs #201 (better ranked)

Recent form: 5/10 in recent matches

WATCH FOR

!Returning from a long layoff (36d) — possible rustiness

Calibrated model probability (~64% out-of-sample accuracy, validated specifically on WTA). Not a guarantee: the model ≈ the market on average, so the odds already capture almost all the edge. 18+ · gamble responsibly.
@1.94
fair odds
+9.6%
expected value
BREAKDOWN · MODEL ANALYSIS

The model makes P. Hon the favorite with a 51% win probability, against J. Garland's 49% — a tight match, without a wide margin. Converted to odds, that probability is worth about @1.94; the offered odds are around @2.13 (a 47% implied), slightly above the market, so the model is a touch more optimistic.

Several factors explain the number: #156 vs #201 (better ranked); 5/10 in recent matches.

Read it with perspective. Our probability is calibrated — when the model says 51%, that outcome happens roughly that percentage of the time, with ~64% out-of-sample accuracy — but being the favorite is not being the winner: roughly 49 out of every 100 times Garland 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. Watch out for: Returning from a long layoff (36d) — possible rustiness. This is informational analysis, not a betting recommendation. 18+ · play responsibly.

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