Win probability

Friday, 14 August 2026

20 matches selected · 4 tournaments · model last ran 18:50 UTC

Umpiry rates 20 matches on Friday, 14 August 2026. The closest is Juncheng Shang v Lorenzo Sonego 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
20:30Cincinnati
ATP · hard
R128Shang J.Sonego L.51 %49 %Toss-up1–1
15:10Cincinnati
ATP · hard
R128Altmaier D.Wong C.52 %48 %Toss-up1–1
23:10Cincinnati
ATP · hard
R128Hijikata R.Monfils G.52 %48 %Toss-up1–0
19:10Cincinnati
WTA · hard
R128Kalieva E.Oliynykova O.52 %48 %Toss-up1–1
22:55Cincinnati
ATP · hard
R128Atmane T.Fucsovics M.52 %48 %Toss-up2–1
03:25Cincinnati
WTA · hard
R128Mcnally C.Kessler M.52 %48 %Toss-up1–1
20:50Cincinnati
ATP · hard
R128Marozsan F.Zheng M.53 %47 %Toss-up0–2
19:10Cincinnati
ATP · hard
R128Borges N.Kokkinakis T.53 %47 %Toss-up3–0
15:10Cincinnati
WTA · hard
R128Pliskova K.Bejlek S.53 %47 %Toss-up1–1
23:10Cincinnati
WTA · hard
R128Volynets K.Boulter K.54 %46 %Toss-up0–2
18:35Cincinnati
ATP · hard
R128Griekspoor T.Van De Zandschulp B.54 %46 %Toss-up4–2
16:40Cincinnati
ATP · hard
R128Hanfmann Y.Van Assche L.56 %44 %Toss-up2–0
15:10Cincinnati
WTA · hard
R128Bouzas Maneiro J.Bondar A.57 %43 %Toss-up1–0
17:50Cincinnati
WTA · hard
R128Gibson T.Tagger L.57 %43 %Toss-up1–0
20:55Cincinnati
WTA · hard
R128Samsonova L.Putintseva Y.58 %42 %Slight edge1–1
16:35Cincinnati
ATP · hard
R128Dimitrov G.Baez S.58 %42 %Slight edge0–1
17:10Cincinnati
WTA · hard
R128Joint M.Korpatsch T.59 %41 %Slight edge0–1
15:10Cincinnati
ATP · hard
R128Jacquet K.Vallejo A.61 %39 %Slight edge0–1
22:10Toronto
WTA · hard
FRybakina E.Swiatek I.63 %37 %Slight edge7–9
00:15Montreal
ATP · hard
FShelton B.Nakashima B.66 %34 %Slight edge6–0

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

Thursday, 13 August 2026 · 20 matches

Favourites won

13 / 20

Model expected

11.7

The model expected 11.7 favourites to win; 13 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.