Win probability

Saturday, 1 August 2026

20 matches selected · 12 tournaments · model last ran 19:50 UTC

Umpiry rates 20 matches on Saturday, 1 August 2026. The closest is Kristina Liutova v Elvina Kalieva at 50 % — the model’s most uncertain call of the day. The most one-sided is Jessica Pegula v Diana Shnaider at 73 %. 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
18:10Memphis
WTA · hard
SFLiutova K.Kalieva E.50 %50 %Toss-up1–0
22:30Washington
ATP · hard
QFMusetti L.Jodar R.51 %49 %Toss-up0–2
14:30M15 Strasbourg
ITF · clay
SFDelage P.Chazal M.51 %49 %Toss-up1–1
09:40W35 Aldershot
ITF · hard
SFSaigo R.Klimovicova L.51 %49 %Toss-up1–0
12:35W50 Dublin
ITF · hard
SFRyser V.Valdmannova V.51 %49 %Toss-up1–1
05:00Los Cabos
ATP · hard
SFNorrie C.Shapovalov D.52 %48 %Toss-up3–1
07:30M15 Kursumlijska Banja 11
ITF · clay
SFKrstic ..Maria Noce G.52 %48 %Toss-up1–0
11:15W35 Aldershot
ITF · hard
SFKarunaratne A.Bains N.54 %46 %Toss-up1–0
10:00Liberec
CHALLENGER · clay
SFNagal S.Kumstat J.54 %46 %Toss-up0–2
21:00Vancouver
CHALLENGER · hard
FPreston T.Inglis M.56 %44 %Toss-up2–2
13:20Targu Mures
CHALLENGER · clay
SFQuevedo K.Jones F.56 %44 %Toss-up2–0
16:10San Marino
CHALLENGER · clay
SFPoljicak M.Varillas J.57 %43 %Toss-up1–0
20:05Memphis
WTA · hard
SFVidmanova D.Zarazua R.58 %42 %Toss-up1–0
01:10Memphis
WTA · hard
QFVolynets K.Vidmanova D.60 %40 %Slight edge0–1
23:35Memphis
WTA · hard
QFZakharova A.Zarazua R.64 %36 %Slight edge0–1
02:40Los Cabos
ATP · hard
SFGea A.Wong C.65 %35 %Slight edge1–0
23:15Washington
WTA · hard
QFSvitolina E.Eala A.66 %34 %Slight edge0–2
19:55Washington
WTA · hard
SFOsaka N.Eala A.67 %33 %Clear favourite0–1
01:15Washington
ATP · hard
QFShelton B.Tabilo A.69 %31 %Clear favourite0–1
18:10Washington
WTA · hard
SFPegula J.Shnaider D.73 %27 %Clear favourite4–1

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

Friday, 31 July 2026 · 20 matches

Favourites won

10 / 20

Model expected

12.2

The model expected 12.2 favourites to win; 10 did. See yesterday’s page.

Biggest shock, last 7 days

31 Jul
Bonn
CHALLENGER · clay
QF

Surprise score

90

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.