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Tennis — fair match probabilities

159 upcoming matches. Click a match for totals and handicaps.

Tennis is bet on two-way markets, with no draw, all year round: ATP, WTA, Grand Slams, but also Challengers and ITF events, where liquidity is low. Retirements and settlement rules vary from one bookmaker to another, and odds move fast when the draws are announced: the fair probabilities are recalculated every minute by the engine and published every 5 minutes until the first point.

ATP Finals3

MatchHomeAway
Ben Shelton – Arthur Fils
59 %41 %
Carlos Alcaraz – Frances Tiafoe
89 %11 %
Daniil Medvedev – Flavio Cobolli
76 %24 %

WTA Finals1

MatchHomeAway
Elina Svitolina – Mirra Andreeva
28 %72 %

ATP Finals Turin 202619

MatchHomeAway
Arevalo/Pavic – Arribage/Olivetti
50 %51 %
Granollers/Zeballos – Bolelli/Vavassori
52 %48 %
Harrison/Skupski – Krawietz/Putz
57 %43 %
Be Shelton – Jodar
61 %40 %
A Zverev – Be Shelton
51 %49 %
Fils – Jodar
50 %50 %
A Zverev – Fils
51 %49 %
Carlos Alcaraz – Cobolli
52 %48 %
Medvedev – Tiafoe
49 %51 %
Cobolli – Tiafoe
52 %48 %
Carlos Alcaraz – Medvedev
53 %47 %
Harrison/Skupski – Bolelli/Vavassori
50 %50 %
Granollers/Zeballos – Krawietz/Putz
50 %50 %
Bolelli/Vavassori – Krawietz/Putz
50 %50 %
Harrison/Skupski – Granollers/Zeballos
50 %50 %
Arevalo/Pavic – Luz/Matos
50 %50 %
Heliovaara/Patten – Arevalo/Pavic
50 %50 %
Arribage/Olivetti – Luz/Matos
50 %50 %
Heliovaara/Patten – Arribage/Olivetti
50 %50 %

Champaign IL Challenger 202627

MatchHomeAway
C Wells – Za Stephens
62 %38 %
Hu Heck – Jo Gamble
88 %12 %
Da Bakonyi – Nefve
13 %87 %
Lu Maxted – Hands
63 %37 %
N Mekhael – Ke Chopra
10 %90 %
G Hussey – Horve
99 %1 %
Ka Bigun – S Colleu
94 %6 %
Dominko – Carlini
97 %3 %
Zac Viiala – Sa Heredia
55 %45 %
Mekhael/Mroz – Hands/Summers
50 %50 %
McHugh/Young – Nefve/Vance
50 %50 %
Chopra/Martin – Hopper/Mitsui
50 %50 %
Krall/Vance – Bakonyi/Jilly
50 %50 %
Fuchs/Jarvis – Blancaneaux/Perot
50 %50 %
Barry/Ingildsen – Dominko/Planinsek
50 %50 %
Heck/Miyoshi – Wells/Zhang
50 %50 %
Maginley/Poling – Colleu/Viiala
50 %50 %
Aid McHugh – Jere Zhang
82 %18 %
Jack Kennedy – Krueger
30 %70 %
Pa Maloney – A Gray
35 %65 %
Wiedenmann – Artnak
44 %56 %
Ga Young – And Fenty
46 %54 %
Vales – Rap Perot
50 %50 %
O Baris – Ke Miyoshi
46 %54 %
Oliv Tarvet – K Poling
95 %5 %
Jeff Planinsek – Andres Martin
41 %59 %
Jilly – Spe Johnson
10 %90 %

Drummondville Challenger 202618

MatchHomeAway
Peck – The Dean
27 %73 %
Os Poulsen – Drew van Orderlain
87 %13 %
Vig Gogineni – Gurenko
97 %3 %
Ja Horwood – Jan Opitz
3 %97 %
Kuhar – Vla Melnic
61 %39 %
Noa Zamora – Cordeau
99 %1 %
Marterer – Ben Jones
86 %14 %
Nie van Noord – Joshu Charlton
19 %81 %
Dy Dietrich – Pyo Nesterov
87 %13 %
M Arseneault – Chidekh
9 %91 %
Patric Zahraj – Al Tudorica
86 %14 %
Dun Chan – Mmoh
26 %74 %
Ca Kingsley – Ju Boulais
58 %42 %
Ke Rice – Draxl
28 %72 %
Dar Blanch – Co Sinclair
93 %7 %
Hy Barton – Galarneau
47 %53 %
B Shick – Aid Mayo
24 %76 %
Ni Mejia – Wessels
79 %21 %

Helsinki Challenger 202611

MatchHomeAway
Arv Nordquist – Sv Gulin
21 %79 %
Cez Cretu – Echargui
50 %50 %
Ivashka – To Samuel
25 %75 %
Sh Mochizuki – Giustino
62 %38 %
Budkov Kjaer – Brunold
54 %46 %
Gi Cadenasso – Fearnley
11 %89 %
Andrea Guerrieri – E Ymer
54 %46 %
Svrcina – L Borg
96 %4 %
Glinka – Nish Basavareddy
40 %60 %
Ribecai – Butvilas
46 %54 %
Duckworth – Ee Vasa
81 %19 %

Knoxville TN Challenger 20261

MatchHomeAway
Ab Shelbayh – Chidekh
26 %74 %

Kobe Challenger 202616

MatchHomeAway
Honda – L Broady
24 %76 %
Co Bittoun Kouzmine – Kumasaka
40 %60 %
Kok Matsuda – Ka Watanabe
79 %21 %
Ry Matsuda – Sun
29 %71 %
Mas Imamura – Takahashi
61 %39 %
D Sakellaridis – Ichikawa
49 %51 %
Yo Watanuki – Ji Cui
76 %24 %
Max Jones – Kusuhara
73 %27 %
Ben Hassan – Yun Chung
53 %47 %
Michalski – Daniel
25 %75 %
Ni McDonald – Kee Smith
36 %64 %
Mi Leong – Ri Noguchi
24 %76 %
Poljicak – Ja Friend
26 %74 %
Jorda Sanchis – Yu Hsu
26 %74 %
Kasid Samrej – Yu Tomida
79 %21 %
Zh Zhang – Staeheli
73 %27 %

Lima Challenger 20261

MatchHomeAway
Roncadelli – Sanchez Izquierdo
39 %62 %

Metz Challenger 202622

MatchHomeAway
Moro Canas – Catry
57 %43 %
Fi Moroni – Coulibaly
26 %74 %
Hemery – Ma Donald
67 %33 %
Lu Nardi – Stef Latinovic
90 %10 %
Ad Gobat – Grenier
26 %74 %
Ma Sharipov – In Montes-de la Torre
32 %68 %
Ma Dodig – Cl Tabur
46 %54 %
Basilashvili – Houkes
88 %12 %
Diego Dedura – Prizmic
20 %80 %
Donski/Latinovic – Gille/Verbeek
50 %50 %
Martos Gornes/Walkow – Catry/Nagel
50 %50 %
Binet/Vincent – Gonzalez/Jebens
50 %50 %
Cervantes/Martinez – Duda/Kalender
50 %50 %
Giovannini/Giovannini – Mansilla Di/Vega Hernan
50 %50 %
Escobar/Kaliyanda Poona – Ganchev/Maes
50 %50 %
Karol/Paris – Molchanov/Neuchrist
50 %50 %
Mrva – Jacquet
25 %75 %
Ar Nagel – Lajovic
41 %59 %
Bonzi – Gueymard Wayenburg
64 %36 %
Vi Sachko – S Kwon
41 %59 %
A Muller – Piros
47 %53 %
P Henning – Hug Gaston
37 %63 %

Montevideo Challenger 202615

MatchHomeAway
Cigarran/Kicker – Guillen Meza/Villanueva
46 %54 %
Nijboer/Nikles – Alcala Gurr/Roca Batall
50 %50 %
Boscardin Dia/Fernandez – Aguilar Cardoz/La Serna
50 %50 %
Arias/Carou – Hollender/Olivieri
73 %27 %
De la Fuente/Llanes – Oliveira/Rodrigues
21 %79 %
J La Serna – Comesana
34 %66 %
Roncadelli – Barrios Vera
41 %59 %
Gu Justo – Da Rincon
47 %53 %
He Rocha – Fe Aguilar Cardozo
96 %4 %
Prado Angelo – L Midon
55 %45 %
Ma Soto – Al Barrena
32 %68 %
Va Aboian – Kolar
45 %55 %
Tr Boyer – Dellien
31 %69 %
Mat Pucinelli de Almeid – Jarry
54 %46 %
Jua Varillas – Go Bueno
50 %50 %

Sydney Challenger 202610

MatchHomeAway
Enz Aguiard – O'Connell
19 %81 %
Jasika – Bolt
45 %55 %
Delaney – Santillan
45 %55 %
Holmgren – S Dhakshineswar
66 %34 %
Li Tu – Jame McCabe
39 %61 %
O Ayeni – Mu Sik
78 %22 %
Schoolkate – Overbeck
68 %32 %
Bouzige – Ju Shang
9 %91 %
C Hoole – Fl Broska
45 %55 %
Sweeny – Ch Langmo
75 %25 %

WTA Colina 202614

MatchHomeAway
Ari Geerlings – C Rodero Contreras
99 %1 %
Kulambayeva – Strakhova
56 %44 %
L Bronzetti – Linana
60 %40 %
Jimenez Kasintseva – Car Monnet
35 %65 %
Iren Burillo – Dar Semenistaja
53 %47 %
Katr Scott – Ana Zolotareva
60 %40 %
Podoroska – Lepchenko
64 %36 %
Ley Romero Gormaz – Ipek Oz
76 %24 %
Hercog – Mir Bulgaru
78 %22 %
Barba Gatica – And Lazaro Garcia
53 %47 %
Papamichail – Laur Samson
15 %85 %
Costoulas – Nur Brancaccio
33 %67 %
Mar Carle – Erjavec
45 %55 %
Fe Labrana – An Vergara Rivera
39 %61 %

WTA Finals Indian Wells 20261

MatchHomeAway
Siniakova/Townsend – Errani/Paolini
73 %27 %

Probabilities: margin removed from Pinnacle's odds (power method), blended with Betfair Exchange (40 %) when it is liquid enough. This is not a prediction: a 60 % favourite loses 4 times out of 10. Events not priced by Pinnacle are estimated from Betfair Exchange (back/lay midpoint, liquidity checked).

How the Tennis probabilities are calculated

For every Tennis match, Babeth reads the odds of Pinnacle, the bookmaker known for the fairest odds on the market, removes the margin (the “power” method, which corrects the favourite-longshot bias), then blends them with the price on Betfair Exchange, one of the largest betting exchanges in the world (40%, only when the market is liquid enough). The result is an estimate of the real chance of each outcome — not a prediction.

These probabilities are recalculated every minute by the engine and published here every 5 minutes, right up to kick-off. Their accuracy is measured continuously on thousands of settled matches (Brier score, calibration) and published on the Results page. To find the mispriced odds on these matches at about forty bookmakers, you need a Proba Bet account; the trial is free.

Frequently asked questions

Are these probabilities predictions for Tennis?

No. A 60% probability means that, over a hundred comparable Tennis matches, the outcome happens about sixty times — and doesn't happen forty times. Babeth doesn't predict a score: she measures the real chance of each outcome, which tells you whether a price pays enough.

Why are the probabilities shown different from my bookmaker's?

Because the “implied” probability of a price contains the bookmaker's margin: add up the inverses of a match's odds and you always get more than 100%. Here the margin is removed, and the source is the bookmaker known as the fairest on the market rather than yours. When your bookmaker pays more than the fair odds shown here, you are holding a value bet.

How often are the Tennis probabilities updated?

The engine re-reads the reference odds every 60 seconds and this page is refreshed every 5 minutes, right up to kick-off. Tennis matches appear as soon as Pinnacle or Betfair Exchange price them, usually four days before kick-off.

Now find the bookmaker that pays more than the probability justifies

The app compares about forty bookmakers to these probabilities every minute and shows you the mispriced bets, with the stake to place. 14-day free trial, no card.

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