Win probability

Friday, 10 July 2026

8 matches selected · 5 tournaments · model last ran 16:50 UTC

Umpiry rates 8 matches on Friday, 10 July 2026. The closest is Matheus Pucinelli De Almeida v Juan Pablo Varillas at 50 % — the model’s most uncertain call of the day. The most one-sided is Alexander Zverev v Arthur Fery at 92 %. 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
17:45Bogota
CHALLENGER · clay
QFPucinelli De Almeida M.Varillas J.50 %50 %Toss-up1–3
15:10Iasi
CHALLENGER · clay
QFHeide G.Droguet T.52 %48 %Toss-up0–1
11:45Liege
CHALLENGER · clay
QFDhamne M.Damas M.56 %44 %Toss-up0–1
14:05Liege
CHALLENGER · clay
QFCoppejans K.Den Ouden G.56 %44 %Toss-up1–1
10:55Bastad
CHALLENGER · clay
SFPutintseva Y.Badosa P.58 %42 %Toss-up2–5
09:10Bastad
CHALLENGER · clay
SFQuevedo K.Waltert S.66 %34 %Slight edge0–1
15:20Wimbledon
ATP · grass
SFSinner J.Djokovic N.89 %11 %Strong favourite6–5
12:40Wimbledon
ATP · grass
SFZverev A.Fery A.92 %8 %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

Thursday, 9 July 2026 · 4 matches

Favourites won

2 / 4

Model expected

2.2

The model expected 2.2 favourites to win; 2 did. See yesterday’s page.

Biggest shock, last 7 days

9 Jul
Newport
CHALLENGER · grass
R16

Surprise score

95

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.