Win probability

Friday, 24 July 2026

20 matches selected · 11 tournaments · model last ran 17:50 UTC

Umpiry rates 20 matches on Friday, 24 July 2026. The closest is Michael Zheng v Adam Walton at 51 % — the model’s most uncertain call of the day. The most one-sided is Andrey Rublev v Luca Van Assche at 74 %. 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
15:10Bloomfield Hills
CHALLENGER · hard
QFZheng M.Walton A.51 %49 %Toss-up1–0
10:45Livesport Prague Open
WTA · hard
QFBouzkova M.Valentova T.51 %49 %Toss-up2–1
12:40Tampere
CHALLENGER · clay
QFBarton H.Kasnikowski M.52 %48 %Toss-up0–1
23:10Winnipeg
CHALLENGER · hard
R16Holmgren A.Draxl L.52 %48 %Toss-up1–1
06:30M15 Bali
ITF · hard
QFTaguchi R.Becroft I.52 %48 %Toss-up2–0
06:30M15 Bali
ITF · hard
QFBoosarawongse T.Ryan Ziegann S.54 %46 %Toss-up1–0
09:10Hamburg
WTA · clay
QFBondar A.Charaeva A.55 %45 %Toss-up1–0
13:50Livesport Prague Open
WTA · hard
QFBejlek S.Tagger L.55 %45 %Toss-up1–1
16:05Estoril
ATP · clay
QFBlockx A.Burruchaga R.55 %45 %Toss-up1–2
10:40Kitzbuhel
ATP · clay
SFHanfmann Y.Halys Q.56 %44 %Toss-up0–3
02:00W15 Brisbane 2
ITF · hard
QFUchijima M.Arakawa N.56 %44 %Toss-up0–1
07:55M25 Denia
ITF · clay
QFAngelini L.Lagutin P.56 %44 %Toss-up0–1
16:40W75 Cordenons
ITF · clay
SFTrevisan M.Brancaccio N.57 %43 %Toss-up1–1
13:00Hamburg
WTA · clay
QFOliynykova O.Avanesyan E.57 %43 %Toss-up
09:05Livesport Prague Open
WTA · hard
QFSnigur D.Tararudee L.57 %43 %Toss-up1–0
12:40Kitzbuhel
ATP · clay
SFBublik A.Etcheverry T.57 %43 %Toss-up3–0
11:10Hamburg
WTA · clay
QFBadosa P.Sherif M.59 %41 %Slight edge1–3
18:50Estoril
ATP · clay
QFDarderi L.Faria J.61 %39 %Slight edge2–1
15:10Hamburg
WTA · clay
QFKalinina A.Korpatsch T.65 %35 %Slight edge0–1
13:10Estoril
ATP · clay
QFRublev A.Van Assche L.74 %26 %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

Thursday, 23 July 2026 · 16 matches

Favourites won

9 / 16

Model expected

9.3

The model expected 9.3 favourites to win; 9 did. See yesterday’s page.

Biggest shock, last 7 days

23 Jul
W35 Gentofte
ITF · clay
R16

Surprise score

81

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.