A. Sabalenka vs S. Zhang — prediction

Toronto

SABALENKAWIN PROBABILITYZHANG

89%

model prob.

@1.06

odds · 94% impl.

⚔H2H 2–0 Sabalenka⏱Rest 2d vs 3d◐Hard 88%🎾Serve 63%📈Form 6/10

CONDITIONS OF THE MATCH◆ in the model◇ context

Surface◆

Hard

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

Temperature◇

28°C

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

Humidity◇

59%

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: #1 vs #64 (better ranked)

›Recent form: 7/10 in recent matches

›Head-to-head: 3-0 in favor

›Solid on Hard: 77% career on the surface

›Model 89% vs market 94% → the model sees it as less likely than the odds

WATCH FOR

!Returning from a long layoff (32d) — 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.

@1.12

fair odds

−5.3%

expected value

BREAKDOWN · MODEL ANALYSIS

The model makes A. Sabalenka the favorite with a 89% win probability, against S. Zhang's 11% — a conviction read: the model sees the match clearly leaning one way. Converted to odds, that probability is worth about @1.12; the offered odds are around @1.06 (a 94% implied), slightly below the market, so the model is a touch more cautious.

Several factors explain the number: #1 vs #64 (better ranked); 7/10 in recent matches; 3-0 in favor; 77% career on the surface.

Read it with perspective. Our probability is calibrated — when the model says 89%, 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 11 out of every 100 times Zhang 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 (32d) — possible rustiness. This is informational analysis, not a betting recommendation. 18+ · play responsibly.

Analyze today's matches →

🔒

Full analysis & value verdict is Premium

The value read of A. Sabalenka vs S. Zhang — fair odds, expected value, and the factor-by-factor breakdown.

New here? Free account · 3 days of full access