Win probability

Thursday, 30 July 2026

16 matches selected · 6 tournaments · model last ran 20:50 UTC

Umpiry rates 16 matches on Thursday, 30 July 2026. The closest is Samuele Pieri v Federico Agustin Gomez at 50 % — the model’s most uncertain call of the day. The most one-sided is Alex De Minaur v Cruz Hewitt at 90 %. 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
09:10Bonn
CHALLENGER · clay
R16Pieri S.Gomez F.50 %50 %Toss-up0–1
03:10Los Cabos
ATP · hard
R16Gea A.Zheng M.52 %48 %Toss-up3–0
01:35Vancouver
CHALLENGER · hard
R16Shick B.Andrade A.55 %45 %Toss-up1–0
23:40Memphis
WTA · hard
R16Zarazua R.Maria T.55 %45 %Toss-up2–0
16:10Memphis
WTA · hard
R16Joint M.Liutova K.56 %44 %Toss-up0–1
04:55Los Cabos
ATP · hard
R16Darderi L.Svrcina D.62 %38 %Slight edge4–2
21:45Washington
ATP · hard
R16Tabilo A.Atmane T.63 %37 %Slight edge1–0
17:10Washington
WTA · hard
R16Kalinskaya A.Tjen J.65 %35 %Slight edge1–0
15:10Washington
ATP · hard
R16Mensik J.Nakashima B.67 %33 %Slight edge3–1
22:40Washington
WTA · hard
R16Osaka N.Krueger A.68 %32 %Clear favourite1–1
01:10Los Cabos
ATP · hard
R16Cerundolo F.Boyer T.73 %27 %Clear favourite1–0
00:05Washington
ATP · hard
R16Jodar R.Nishikori K.78 %22 %Clear favourite1–0
01:15Los Cabos
ATP · hard
R16Lehecka J.Wong C.79 %21 %Clear favourite0–1
23:50Washington
ATP · hard
R16Michelsen A.Mannarino A.80 %20 %Strong favourite3–1
19:15Washington
WTA · hard
R16Pegula J.Frech M.88 %12 %Strong favourite5–0
17:45Washington
ATP · hard
R16De Minaur A.Hewitt C.90 %10 %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

Wednesday, 29 July 2026 · 20 matches

Favourites won

12 / 20

Model expected

12.0

The model expected 12.0 favourites to win; 12 did. See yesterday’s page.

Biggest shock, last 7 days

29 Jul
W75 Lexington
ITF · hard
R32

Surprise score

93

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.