Win probability

Saturday, 15 August 2026

20 matches selected · 2 tournaments · model last ran 20:50 UTC

Umpiry rates 20 matches on Saturday, 15 August 2026. The closest is Sloane Stephens v Sinja Kraus at 51 % — the model’s most uncertain call of the day. The most one-sided is Jessica Pegula v Simona Waltert at 89 %. Probabilities come from a per-tour model trained on Elo, surface Elo, recent serve and return form and layoff.

Rated matches · ordered closest first
TimeTournamentRoundMatchProbabilityVerdictH2H
23:10Cincinnati
WTA · hard
R128Stephens S.Kraus S.51 %49 %Toss-up1–0
23:20Cincinnati
ATP · hard
R128Faria J.Brooksby J.51 %49 %Toss-up2–1
20:35Cincinnati
ATP · hard
R64Darderi L.Hijikata R.53 %47 %Toss-up2–2
22:15Cincinnati
WTA · hard
R128Yu Wang X.Vandewinkel H.53 %47 %Toss-up1–0
15:10Cincinnati
ATP · hard
R64Arnaldi M.Landaluce M.53 %47 %Toss-up0–1
21:00Cincinnati
ATP · hard
R64Etcheverry T.Atmane T.55 %45 %Toss-up2–1
22:20Cincinnati
ATP · hard
R128Merida Aguilar D.Cilic M.55 %45 %Toss-up2–0
18:55Cincinnati
WTA · hard
R64Ostapenko J.Frech M.57 %43 %Toss-up2–1
18:00Cincinnati
WTA · hard
R64Kalinskaya A.Mcnally C.58 %42 %Slight edge2–1
19:20Cincinnati
ATP · hard
R64Tabilo A.Lennard Struff J.59 %41 %Slight edge1–0
19:25Cincinnati
WTA · hard
R64Cirstea S.Bartunkova N.60 %40 %Slight edge1–0
15:10Cincinnati
WTA · hard
R128Day K.Zhang S.61 %39 %Slight edge0–1
21:25Cincinnati
ATP · hard
R64Paul T.Hurkacz H.66 %34 %Slight edge4–2
15:10Cincinnati
WTA · hard
R64Chwalinska M.Bucsa C.66 %34 %Slight edge1–2
15:10Cincinnati
ATP · hard
R64Blockx A.Navone M.67 %33 %Slight edge1–1
15:10Cincinnati
ATP · hard
R64Cobolli F.Kecmanovic M.67 %33 %Clear favourite3–1
19:55Cincinnati
ATP · hard
R64De Minaur A.Halys Q.70 %30 %Clear favourite1–2
15:10Cincinnati
WTA · hard
R64Anisimova A.Sonmez Z.77 %23 %Clear favourite1–0
18:15Cincinnati
ATP · hard
R64Djokovic N.Tirante T.78 %22 %Clear favourite0–1
20:40Cincinnati
WTA · hard
R64Pegula J.Waltert S.89 %11 %Strong favourite1–0

How to read this

Each row gives the model’s probability that the favourite wins, and the verdict says the same thing in words. Rows are ordered by how close the model thinks the match is, so the top of the table is where it is least sure. A 70 % favourite losing is not a broken model — it is the 30 %. Probabilities are not odds and take no account of any market.

How often the model has been right

Umpiry win-probability model accuracy by tour family, measured on the predictions the model made
TourCorrect
ATP / WTA66 %
Challenger (men)64 %
Challenger (women)68 %
ITF (men)66 %
ITF (women)64 %

Measured on the predictions the model actually made, not on a backtest — see Methodology.

Yesterday

Friday, 14 August 2026 · 20 matches

Favourites won

10 / 20

Model expected

11.1

The model expected 11.1 favourites to win; 10 did. See yesterday’s page.

Biggest shock, last 7 days

13 Aug
Cincinnati
WTA · hard
Q32

Surprise score

88

Questions

How is the probability calculated?
A separate model for each tour, trained on Elo, surface-specific Elo, recent serve and return form and time since the player’s last match. It runs several times a day; the time of the last run is at the top of this page.
How often is the model right?
We publish it. The table above gives the hit rate for each tour family, measured on the predictions the model actually made — see Methodology for how it is computed.
Why are the closest matches at the top?
Rows are ordered by distance from 50 %, so the table opens where the model is least sure. “Most one-sided” reverses the order and groups the rows by tournament.
Is this a betting tip?
No. The page shows a model’s probability and how often that model has been right. There are no odds, no comparison with a market and no suggested stake.