MODEL PREDICTION · 2026-08-02
HARD

A. Ito vs K. Sebovprediction

Toronto
✗ Missed
ITOWIN PROBABILITYSEBOV
61%
model prob.
@1.62
odds · 62% impl.
Rest 1d vs 5dHard 36%🎾Serve 53%📈Form 4/10
CONDITIONS OF THE MATCHin the modelcontext
Surface
Hard

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

Temperature
21°C

Mild: neutral conditions.

Humidity
91%

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

Wind
14 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: #246 vs #332 (better ranked)

Recent form: 4/10 in recent matches

WATCH FOR

!Coming off 3 losses in a row

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.
@1.64
fair odds
−1.3%
expected value
BREAKDOWN · MODEL ANALYSIS

The model makes A. Ito the favorite with a 61% win probability, against K. Sebov's 39% — a solid favorite, though Sebov keeps real chances. Converted to odds, that probability is worth about @1.64; the offered odds are around @1.62 (a 62% implied), virtually the same as what the market prices in.

Several factors explain the number: #246 vs #332 (better ranked); 4/10 in recent matches.

Read it with perspective. Our probability is calibrated — when the model says 61%, 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 39 out of every 100 times Sebov 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: Coming off 3 losses in a row. This is informational analysis, not a betting recommendation. 18+ · play responsibly.

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