Win probability

Monday, 24 August 2026

20 matches selected · 3 tournaments · model last ran 21:50 UTC

Umpiry rates 20 matches on Monday, 24 August 2026. The closest is Jessica Pegula v Coco Gauff at 51 % — the model’s most uncertain call of the day. 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
02:00Cincinnati
WTA · hard
FPegula J.Gauff C.51 %49 %Toss-up6–5
21:20US Open
WTA · hard
Q128Iatcenko P.Struplova J.51 %49 %Toss-up1–0
23:30US Open
ATP · hard
Q256Galarneau A.Smith K.51 %49 %Toss-up1–0
21:50US Open
ATP · hard
Q256Travaglia S.Wendelken H.51 %49 %Toss-up0–1
23:25US Open
WTA · hard
Q128Minnen G.Vandromme J.51 %49 %Toss-up0–1
22:10US Open
ATP · hard
Q256Bueno G.Harris B.52 %48 %Toss-up0–1
19:30US Open
ATP · hard
Q256Barrios Vera T.Prado Angelo J.53 %47 %Toss-up3–0
18:00US Open
WTA · hard
Q128Falei A.Pridankina E.53 %47 %Toss-up0–1
21:00US Open
ATP · hard
Q256Guerrieri A.Holmgren A.53 %47 %Toss-up1–0
18:00US Open
ATP · hard
Q256Ferreira Silva F.Dedura D.53 %47 %Toss-up2–0
19:30US Open
ATP · hard
Q256Garin C.Johnson S.54 %46 %Toss-up1–0
21:15US Open
ATP · hard
Q256Moro Canas A.Bertola R.57 %43 %Toss-up0–2
18:00US Open
ATP · hard
Q256Rodionov J.Coppejans K.57 %43 %Toss-up1–0
22:00US Open
WTA · hard
Q128Bronzetti L.Giovannini L.57 %43 %Toss-up1–0
18:00US Open
ATP · hard
Q256Pavlovic L.Varillas J.57 %43 %Toss-up2–0
19:50US Open
ATP · hard
Q256Dougaz A.Gomez F.58 %42 %Toss-up2–0
19:30US Open
WTA · hard
Q128Klimovicova L.Pigato L.61 %39 %Slight edge2–0
19:30US Open
WTA · hard
Q128Koevermans A.Monnet C.63 %37 %Slight edge1–0
18:00US Open
WTA · hard
Q128Burel C.Xin Ma Y.66 %34 %Slight edge1–0
19:30US Open
ATP · hard
Q256Broady L.Cecchinato M.69 %31 %Clear favourite1–1

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

Sunday, 23 August 2026 · 10 matches

Favourites won

6 / 10

Model expected

6.0

The model expected 6.0 favourites to win; 6 did. See yesterday’s page.

Biggest shock, last 7 days

21 Aug
M15 Krakow
ITF · clay
QF

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.