MODEL PREDICTION · 2026-08-04
HARD

Frances Tiafoe vs Marin Cilicprediction

✓ Correct
TIAFOEWIN PROBABILITYCILIC
70%
model prob.
@1.56
odds · 64% impl.
Hard 60%🎾Serve 70%📈Form 7/10 · 2✗
CONDITIONS OF THE MATCHin the modelcontext
Surface
Hard

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

Temperature
24°C

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

Humidity
61%

Humid air: the ball loses some speed.

Wind
13 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: #19 vs #62 (better ranked)

Recent form: 7/10 in recent matches

Model 70% vs market 64% → the model sees it as MORE likely than the odds

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.
@1.43
fair odds
+8.8%
expected value
BREAKDOWN · MODEL ANALYSIS

The model makes Frances Tiafoe the favorite with a 70% win probability, against Marin Cilic's 30% — a solid favorite, though Cilic keeps real chances. Converted to odds, that probability is worth about @1.43; the offered odds are around @1.56 (a 64% implied), slightly above the market, so the model is a touch more optimistic.

Several factors explain the number: #19 vs #62 (better ranked); 7/10 in recent matches; model 70% vs market 64% → the model sees it as more likely than the odds.

Read it with perspective. Our probability is calibrated — when the model says 70%, 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 30 out of every 100 times Cilic 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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