Win probability

Friday, 21 August 2026

20 matches selected · 14 tournaments · model last ran 18:50 UTC

Umpiry rates 20 matches on Friday, 21 August 2026. The closest is Lisa Zaar v Georgia Pedone at 50 % — the model’s most uncertain call of the day. The most one-sided is Arthur Fils v Thiago Agustin Tirante at 80 %. 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
09:00W75 Kursumlijska Banja 3
ITF · clay
QFZaar L.Pedone G.50 %50 %Toss-up1–0
11:50W50 Prague
ITF · clay
SFKotliar Y.Gao X.50 %50 %Toss-up0–1
02:00W15 Tianjin 3
ITF · hard
QFPlipuech P.Zhu C.51 %49 %Toss-up1–0
08:00M15 Arad
ITF · clay
QFGuna R.Monzon I.51 %49 %Toss-up1–0
12:25Prague
CHALLENGER · clay
SFJianu F.Kumstat J.51 %49 %Toss-up0–1
15:10Quebec City
CHALLENGER · hard
QFVan Assche L.Bonzi B.51 %49 %Toss-up3–3
16:05W35 Verbier
ITF · clay
QFBonelli E.Grubor A.52 %48 %Toss-up0–1
10:00M25 Idanha-A-Nova 2
ITF · hard
QFScaglia M.Lagutin P.52 %48 %Toss-up0–1
10:10Roehampton
CHALLENGER · hard
SFMaxted L.Poullain L.52 %48 %Toss-up0–1
02:00M15 Maanshan 7
ITF · hard
QFTakahashi Y.Isomura K.54 %46 %Toss-up0–3
11:35W35 Krakow
ITF · clay
SFPawlikowska Z.Jakupovic D.54 %46 %Toss-up0–4
08:00M15 Arad
ITF · clay
QFMisasi G.Nicolae Madaras D.54 %46 %Toss-up0–1
05:00M15 Maanshan 7
ITF · hard
QFBecroft I.Rifqi F.55 %45 %Toss-up1–1
17:30Quebec City
CHALLENGER · hard
QFDe Jong J.Gaston H.55 %45 %Toss-up0–2
22:55Cancun 2
CHALLENGER · hard
R16Harris L.Llamas Ruiz P.57 %43 %Toss-up3–0
18:05Cincinnati
WTA · hard
QFPegula J.Anisimova A.58 %42 %Toss-up7–0
23:10Cincinnati
WTA · hard
QFRybakina E.Swiatek I.62 %38 %Slight edge7–9
19:20Cincinnati
ATP · hard
QFFritz T.Nakashima B.67 %33 %Slight edge4–2
17:00Cincinnati
WTA · hard
QFKeys M.Bejlek S.69 %31 %Clear favourite0–1
00:40Cincinnati
ATP · hard
QFFils A.Tirante T.80 %20 %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, 20 August 2026 · 20 matches

Favourites won

9 / 20

Model expected

12.8

The model expected 12.8 favourites to win; 9 did. See yesterday’s page.

Biggest shock, last 7 days

20 Aug
M25 Slovenj Gradec
ITF · clay
R16

Surprise score

91

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.