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Sunday, October 11

Tennis
Predictions

Tennis tips and predictions for today's full schedule, from ATP and WTA to Challenger and ITF: the AI model's pick, the odds and its confidence, with every pick graded after the match.

Tip of the day Progress
81% Bankers win rate From 2,393 graded picks
120 Matches predicted today ATP, WTA, Challenger, ITF
5/7 Free picks won yesterday graded on the final score
81%

Bankers win rate

From 2,393 graded picks

120 Matches predicted today

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Today's free picks

8
00:00 Finished 0000
NL A. Rus
US K. Carnicella
1 2
1.27 3.5
1 1.27
622675
O19.5 ▴1.8
6.9/10
00:00 Finished 0000
US M. Brengle
AU A. Sharma
0 2
▴1.72 ▾2.01
1 ▴1.72
633675
1 ▴1.72
5.6/10
03:00 Finished 0300
RU D. Egorova
CN J. Zhang
2 0
▾1.12 ▴5.4
1 ▾1.12
6262
1 ▾1.12
5.6/10
04:00 Finished 0400
JP J. Friend (3)
RU A. Kachmazov (Q)
1 2
▾1.65 ▴2.2
1 ▾1.65
6476
O19.5 ▴1.37
2.8/10
05:00 Finished 0500
US B. Shelton (3)
FR A. Gea
0 2
▴1.4 ▾3.35
1 ▴1.4
643663
1 ▴1.4
4.1/10
06:30 Finished 0630
AU C. Hoole
AU S. Vujić
1 2
▾1.26 ▴3.5
1 ▾1.26
644675
1 ▾1.26
5.3/10
06:40 Finished 0640
AU A. de Minaur (9)
JP R. Sakamoto (Q)
2 0
▴1.39 ▾3.05
1 ▴1.39
7664
O18.5 ▾1.27
4.3/10
13:35 Finished 1335
ES A. Davidovich (25)
US F. Tiafoe (7)
2 1
▾2 ▴1.91
2 ▴1.91
366346
U29.5 1.27
3.6/10

Predictions are locked without an account, but you can create one when you're ready!

Shanghai, China Hard ATP - Shanghai, China (Hard) 8
05:00 Finished 0500
US B. Shelton (3)
FR A. Gea
0 2
▴1.4 ▾3.35
1 ▴1.4
643663
1 ▴1.4
4.1/10
05:00 Finished 0500
RU K. Khachanov (26)
FR A. Mannarino
2 0
1.3 ▴3.65
1 1.3
6476
1 1.3
6.5/10
06:40 Finished 0640
AU A. de Minaur (9)
JP R. Sakamoto (Q)
2 0
▴1.39 ▾3.05
1 ▴1.39
7664
O18.5 ▾1.27
4.3/10
07:25 Finished 0725
PL H. Hurkacz
CN Y. Zhou (WC)
2 1
▴1.13 ▾6
1 ▴1.13
6464
1 ▴1.13
10.0/10
08:35 Finished 0835
AR F. Cerundolo (21)
CZ J. Menšik (13)
1 2
▾2.35 ▴1.67
1 ▾2.35
7664
U29.5 ▴1.31
2.1/10
10:55 Finished 1055
KZ A. Bublik (19)
US B. Nakashima (16)
2 1
▾2.18 ▴1.82
2 ▴1.82
466336
U30.5 ▴1.37
3.6/10
11:00 Finished 1100
DE A. Zverev (1)
FR Q. Halys
2 1
▾1.14 ▴6.9
1 ▾1.14
7664
1 ▾1.14
10.0/10
13:35 Finished 1335
ES A. Davidovich (25)
US F. Tiafoe (7)
2 1
▾2 ▴1.91
2 ▴1.91
366346
U29.5 1.27
3.6/10
Beijing, China Hard WTA - Beijing, China (Hard) 1
12:30 Finished 1230
CN Q. Zheng (WC)
RU M. Andreeva (4)
2 0
▴2.6 ▴1.62
2 ▴1.62
3646
U28.5 ▾1.26
4.7/10
Mallorca, Spain, Qualifying Clay WTA - Mallorca, Spain, Qualifying (Clay) 7
09:00 Finished 0900
BG I. Shinikova
CZ A. Kučmová
1 2
▾2.75 ▴1.47
2 ▴1.47
576326
O20.5 1.8
7.6/10
09:00 Finished 0900
ES M. Garcia Cid
FR A. Hesse
2 0
1.49 ▴2.65
2 ▴2.65
4636
U21.5 1.73
3.2/10
10:25 Finished 1025
UA D. Yesypchuk
DE M. Vogt
2 0
▾1.98 ▴1.75
2 ▴1.75
633646
O19.5 1.57
8.6/10
11:45 Finished 1145
ES R. Roura
CZ A. Laboutkova
2 0
▴1.58 ▾2.25
2 ▾2.25
4636
2 ▾2.25
1.7/10
14:00 Finished 1400
BG L. Karatancheva
DE I. Wobker
0 2
▴1.89 ▾1.81
2 ▾1.81
4626
2 ▾1.81
2.5/10
14:00 Finished 1400
BG L. Encheva
CH M. Mettraux
2 0
▾1.3 ▴3.45
1 ▾1.3
6362
1 ▾1.3
4.9/10
14:05 Finished 1405
ES C. Diaz Adrover
GR S. Sakellaridi
2 1
▴2.29 ▾1.55
2 ▾1.55
612657
O19.5 ▴1.73
6.9/10
Rovereto, Italy, Qualifying Hard WTA - Rovereto, Italy, Qualifying (Hard) 7
09:30 Finished 0930
SI A. Senica
HR L. Bošković
0 2
▾6.1 ▴1.1
2 ▴1.1
576246
2 ▴1.1
6.2/10
09:30 Finished 0930
DE A. Friedsam
IT L. Peer
2 0
▾1.01 ▴23
1 ▾1.01
6263
2:0 1.05
10.0/10
10:40 Finished 1040
NL A. Koevermans
IN A. Raina
2 0
▾1.06 ▴8.2
1 ▾1.06
642661
1 ▾1.06
7.4/10
10:40 Finished 1040
RU E. Andreeva
IT G. Monteleone
2 0
▴1.01 ▾26
1 ▴1.01
6261
1 ▴1.01
10.0/10
11:45 Finished 1145
FR E. Jacquemot
IT C. Zanolini
2 0
1.06 ▴8
1 1.06
6163
1 1.06
5.3/10
12:50 Finished 1250
IT I. Serban
CN Z. Li
0 2
▾2.07 ▴1.68
2 ▴1.68
4636
2 ▴1.68
5.0/10
14:00 Finished 1400
SI K. Novak
DE C. Werner
0 2
▴6 ▾1.1
2 ▾1.1
643616
2 ▾1.1
7.9/10
Samsun, Turkiye Hard WTA - Samsun, Turkiye (Hard) 1
11:05 Finished 1105
TR A. Aksu
IT L. Stefanini (8)
2 1
▾3.7 ▴1.28
1 ▾3.7
613664
O17.5 ▾1.36
3.4/10
Suzhou, China Hard WTA - Suzhou, China (Hard) 1
08:25 Finished 0825
SK R. Šramková
JP K. Okamura (Q)
2 0
▾1.33 ▴3.25
1 ▾1.33
7663
1 ▾1.33
5.8/10
Wuhan, China, Qualifying Hard WTA - Wuhan, China, Qualifying (Hard) 8
04:00 Finished 0400
ES S. Sorribes
AU D. Kasatkina
1 2
▴2.5 ▾1.54
2 ▾1.54
466326
2 ▾1.54
3.1/10
04:00 Finished 0400
KZ Y. Putintseva
US A. Krueger
2 0
▾1.96 ▴1.85
1 ▾1.96
6364
O18.5 ▾1.29
3.5/10
04:05 Finished 0405
PL M. Frech
JP A. Ito
0 2
▾1.3 ▴3.5
1 ▾1.3
6364
1 ▾1.3
5.5/10
04:05 Finished 0405
TR Z. Sönmez
AT S. Kraus
2 0
▾1.56 ▴2.35
1 ▾1.56
613664
1 ▾1.56
5.0/10
05:40 Finished 0540
CO C. Osorio (8)
US K. Volynets (13)
1 2
▴2.22 ▾1.66
1 ▴2.22
266463
O18.5 ▴1.36
1.0/10
05:50 Finished 0550
CN H. Shi
UZ K. Rakhimova
2 0
▴3.45 ▾1.31
2 ▾1.31
366416
2 ▾1.31
3.1/10
06:35 Finished 0635
HU A. Bondár (7)
TH M. Sawangkaew
0 2
▾1.7 ▴2.23
2 ▴2.23
642636
O18.5 ▾1.3
3.6/10
06:35 Finished 0635
TH L. Tararudee
US C. McNally
1 2
▾2.08 ▴1.75
1 ▾2.08
366462
O18.5 ▴1.36
1.0/10
Antofagasta, Chile Clay Challenger - Antofagasta, Chile (Clay) 1
16:05 Finished 1605
BR T. Wild (4)
BR J. Reis da
1 2
1.31 ▴3.4
1 1.31
6364
1 1.31
3.0/10
Braga, Portugal Clay Challenger - Braga, Portugal (Clay) 1
11:00 Finished 1100
DK E. Møller
HR M. Dodig
1 2
▴2.9 ▾1.4
2 ▾1.4
466326
2 ▾1.4
4.3/10
Catania, Italy Clay Challenger - Catania, Italy (Clay) 10
11:00 Finished 1100
SE D. N. Madaras
CZ J. Vrba
1 2
▴1.16 ▾5.8
1 ▴1.16
366362
1 ▴1.16
8.6/10
11:00 Finished 1100
TH M. Jones
RO S. Gima
1 2
▾2.5 ▴1.53
1 ▾2.5
166376
O20.5 ▴1.72
5.0/10
11:00 Finished 1100
RO R. D. Turcanu
ES P. Vives Marcos
0 2
▾2.48 ▴1.5
1 ▾2.48
7562
U22.5 ▴1.62
1.0/10
12:35 Finished 1235
SI T. Kovač
RU S. Gulin
0 2
▴17 ▾1.01
2 ▾1.01
3626
2 ▾1.01
8.1/10
13:05 Finished 1305
ES P. Rodenas
IT S. Cocola
2 0
▴1.25 ▾3.45
1 ▴1.25
6264
1 ▴1.25
5.0/10
13:35 Finished 1335
ES A. Marti
DE J. Sperle
2 0
▴1.7 ▾2.1
1 ▴1.7
7664
U23.5 1.59
1.2/10
15:25 Finished 1525
RU P. Lagutin
VE I. Parisca
2 0
▴1.34 ▾3
2 ▾3
3646
O19.5 ▾1.81
4.4/10
15:30 Finished 1530
UA O. Ovcharenko
GR D. Sakellaridis
2 0
▾1.5 ▴2.6
2 ▴2.6
6746
U23.5 1.59
1.2/10
16:35 Finished 1635
FR M. Chazal
BG Y. Milev
0 2
▴2.5 ▾1.52
2 ▾1.52
266346
O20.5 ▾1.65
7.0/10
16:50 Finished 1650
DE K. Wehnelt
IT L. Angelini
2 0
▴1.7 ▾2.01
2 ▾2.01
634626
U22.5 ▾1.63
2.1/10
Jinan, China Hard Challenger - Jinan, China (Hard) 8
06:00 RET 0600
IN S. Banthia
AU J. McCabe
0 1
▴8 ▾1.06
2 ▾1.06
3646
2 ▾1.06
10.0/10
10:15 RET 1015
NZ A. Rai
AU J. Delaney
0 0
▾3.35 ▴1.39
2 ▴1.39
3646
2 ▴1.39
6.3/10
05:00 Finished 0500
JP H. Matsuoka
CN Q. Sun
2 1
▴1.09 ▾6.4
1 ▴1.09
6275
1 ▴1.09
8.5/10
06:55 Finished 0655
AU J. Delaney
JP K. Uchida
0 2
▾4.4 ▴1.17
2 ▴1.17
3646
2 ▴1.17
4.0/10
07:10 Finished 0710
RU S. Pankin
JP Y. Watanuki
0 2
▴2.8 ▾1.43
2 ▾1.43
366436
2 ▾1.43
1.6/10
08:05 Finished 0805
BY I. Ivashka
KZ B. Zhukayev
2 0
▴1.29 ▾3.9
1 ▴1.29
466263
1 ▴1.29
7.9/10
08:45 Finished 0845
FR L. Pavlović
AU T. Fancutt
2 0
▴1.24 ▾4.35
2 ▾4.35
636746
2 ▾4.35
1.8/10
09:25 Finished 0925
AU O. Jasika
RU P. Bar Biryukov
2 0
▴1.7 ▾2
2 ▾2
6746
O21.5 ▴1.61
1.6/10
Maia, Portugal Clay Challenger - Maia, Portugal (Clay) 12
15:15 RET 1515
CZ M. Vrbensky
SE O. Wallin
0 0
▾3.4 ▴1.29
2 ▴1.29
3646
2 ▴1.29
7.9/10
11:00 Finished 1100
HR D. Ajduković
PT G. Marques
2 0
▴1.3 ▾3.3
2 ▾3.3
623646
U22.5 ▴1.6
1.0/10
11:00 Finished 1100
DE F. Broska
DE A. Oetzbach
2 1
▴1.3 ▾3.25
2 ▾3.25
633667
O22.5 2.2
7.1/10
11:00 Finished 1100
PT T. Cação
ES S. Perez Contri
1 2
▾1.85 ▴1.88
1 ▾1.85
166275
O20.5 1.68
6.9/10
12:45 Finished 1245
PT J. Domingues
SK A. Martin
0 2
▾1.96 ▴1.76
1 ▾1.96
7562
U22.5 ▴1.69
2.9/10
13:25 Finished 1325
ES J. Cosano
NL R. Nijboer
0 2
▾2 ▴1.78
2 ▴1.78
632646
2 ▴1.78
2.7/10
13:45 Finished 1345
ES C. Taberner
LB B. Hassan
0 2
▾1.3 ▴3.2
1 ▾1.3
6463
1 ▾1.3
5.0/10
14:00 Finished 1400
CH P. Schoen
PT G. Valdoleiros
2 0
▾1.02 ▴25
1 ▾1.02
6163
1 ▾1.02
10.0/10
15:20 Finished 1520
PT J. Dinis Silva
RU I. Gakhov
0 2
▴3.25 ▾1.3
2 ▾1.3
267536
O20.5 ▾1.75
7.7/10
15:45 Finished 1545
ES A. Sanchez
PT V. Prata
2 1
▾1.07 ▴6.75
1 ▾1.07
6375
1 ▾1.07
10.0/10
17:00 Finished 1700
US D. Blanch
SK M. Karol
1 2
▴1.52 ▾2.42
1 ▴1.52
6364
1 ▴1.52
5.8/10
18:30 Finished 1830
PT D. Marques
UA O. Krutykh
0 2
▴10.5 ▾1.04
2 ▾1.04
266467
2 ▾1.04
7.7/10
Olbia, Italy Hard Challenger - Olbia, Italy (Hard) 9
10:30 RET 1030
CZ M. Černy
UA V. Ursu
1 1
▴2.9 ▾1.32
2 ▾1.32
467636
2 ▾1.32
3.4/10
09:00 Finished 0900
ES M. González
NO V. Durasović
0 2
▾2.45 ▴1.51
2 ▴1.51
636746
2 ▴1.51
6.6/10
09:00 Finished 0900
BG P. Nesterov
US C. Langmo
0 2
▴1.39 ▾3
1 ▴1.39
6061
1 ▴1.39
10.0/10
10:15 Finished 1015
BG D. Kuzmanov
GB R. Peniston
2 0
1.48 2.6
1 1.48
6160
1 1.48
4.2/10
11:35 Finished 1135
ES I. Marrero
IT A. Colombo
2 0
▴1.44 ▾2.65
1 ▴1.44
266275
1 ▴1.44
8.0/10
11:50 Finished 1150
FR L. Raquillet
RO G. A. Boitan
2 1
▾3.1 ▴1.33
1 ▾3.1
467662
1 ▾3.1
1.6/10
13:10 Finished 1310
UA G. Kravchenko
BG A. Donski
2 0
▴1.54 ▾2.29
2 ▾2.29
1616
2 ▾2.29
2.0/10
14:10 Finished 1410
SI S. Dominko
DE D. Masur
0 2
▾2.05 ▴1.71
2 ▴1.71
3646
2 ▴1.71
1.1/10
15:00 Finished 1500
PL F. Pieczonka
GB G. Loffhagen
1 2
▾3.95 ▴1.21
2 ▴1.21
366346
2 ▴1.21
7.9/10
Palermo, Italy Clay Challenger - Palermo, Italy (Clay) 1
15:00 Finished 1500
CZ J. Forejtek (A)
IT F. Passaro (4)
1 2
▴2.85 ▾1.44
1 ▴2.85
7663
O18.5 ▴1.33
1.0/10
Roanne, France Hard Challenger - Roanne, France (Hard) 12
09:00 Finished 0900
FR L. Poullain
NL G. Brouwer
2 0
▾1.27 ▴3.65
1 ▾1.27
614663
1 ▾1.27
7.9/10
09:00 Finished 0900
FR T. Paris
FR Y. Ghazouani
2 1
▴2.3 ▾1.65
2 ▾1.65
3646
2 ▾1.65
10.0/10
10:15 Finished 1015
FR U. Blanchet
FR N. Tepmahc
2 0
▾1.07 7
1 ▾1.07
644664
1 ▾1.07
6.5/10
11:25 Finished 1125
CH H. Bernet
AT M. Neuchrist
2 0
▾1.09 ▴6.3
1 ▾1.09
6476
1 ▾1.09
4.4/10
11:30 Finished 1130
FR M. Janvier
NL D. De Jonge
0 2
▴1.62 ▾2.15
2 ▾2.15
4646
U23.5 ▴1.72
4.3/10
13:00 Finished 1300
FR A. Nagel
FR L. Massard
1 2
▴1.54 ▾2.4
1 ▴1.54
6464
1 ▴1.54
8.2/10
13:00 Finished 1300
FR T. Trufelli
NL T. Boogaard
1 2
▾4 ▴1.31
2 ▴1.31
2636
2 ▴1.31
6.9/10
15:30 Finished 1530
SK N. Gombos
FR M. Kaouk
2 1
▴1.27 ▾3.55
1 ▴1.27
6264
1 ▴1.27
10.0/10
15:50 Finished 1550
CH J. Paul
DE N. McDonald
2 1
▴1.9 ▾1.85
2 ▾1.85
4636
2 ▾1.85
6.3/10
17:40 Finished 1740
FR E. Donnet
KZ A. Omarkhanov
2 0
▴1.55 ▾2.3
2 ▾2.3
2646
U22.5 ▴1.69
5.3/10
18:35 Finished 1835
FR G. Gomez
FR R. Catry
0 2
▴18 ▾1.02
2 ▾1.02
3646
2 ▾1.02
2.2/10
19:10 Finished 1910
MK O. Prihodko
GB P. Brady
0 2
▴2.26 ▾1.57
2 ▾1.57
4636
U23.5 ▴1.65
5.3/10
Santa Cruz 2, Bolivia Clay Challenger - Santa Cruz 2, Bolivia (Clay) 5
17:05 Finished 1705
BO F. Zeballos
CO S. Heredia
2 1
2.72 1.39
2 1.39
366467
2 1.39
6.8/10
19:35 Finished 1935
BR P. Saraiva dos
AR S. de la Fuente
0 2
▴1.52 ▾2.3
2 ▾2.3
266257
O20.5 ▾1.71
6.3/10
19:40 Finished 1940
AR L. J. Rodriguez
BO A. E. C.
2 0
▾1.02 ▴18
1 ▾1.02
6462
1 ▾1.02
10.0/10
19:55 Finished 1955
AR F. Ribero
AR M. Zeitune
0 2
4.25 1.21
2 1.21
0616
2 1.21
7.2/10
S2 S2
BO B. Arias
AR T. Cigarran
04 12
▴5.5 ▾1.13
10.0/10
Villena, Spain Hard Challenger - Villena, Spain (Hard) 1
10:35 Finished 1035
EE D. Glinka
RS L. Djere
0 2
▾2.63 ▴1.49
1 ▾2.63
6476
O18.5 ▾1.22
1.0/10
Wuning 3, China Hard Challenger - Wuning 3, China (Hard) 1
04:00 Finished 0400
JP J. Friend (3)
RU A. Kachmazov (Q)
1 2
▾1.65 ▴2.2
1 ▾1.65
6476
O19.5 ▴1.37
2.8/10
M15 Burgas Clay ITF Men - M15 Burgas (Clay) 1
08:30 Finished 0830
BG G. Lazarov
IT M. Nannelli
2 0
▾1.14 ▴5.2
1 ▾1.14
6463
1 ▾1.14
4.3/10
M15 Heraklion Hard ITF Men - M15 Heraklion (Hard) 1
08:00 Finished 0800
CZ J. Filip
IL J. Hasson
2 1
1.44 2.72
2 2.72
763626
O21.5 ▴2.05
6.3/10
M15 Monastir Hard ITF Men - M15 Monastir (Hard) 1
10:00 Finished 1000
CI E. Coulibaly
ES J. Echeverria
2 1
▾1.33 ▴3.1
1 ▾1.33
643662
1 ▾1.33
3.4/10
M15 Pontevedra Hard ITF Men - M15 Pontevedra (Hard) 1
11:15 Finished 1115
FR M. Bobichon
ES S. Callejon
1 2
▾2.18 ▴1.62
1 ▾2.18
6364
O20.5 ▾1.72
2.1/10
M15 Quito Clay ITF Men - M15 Quito (Clay) 1
17:00 Finished 1700
US T. McCormick
BR L. Andrade Da
0 2
▴3.7 ▾1.2
2 ▾1.2
5726
2 ▾1.2
4.8/10
M15 Sharm El Sheikh Hard ITF Men - M15 Sharm El Sheikh (Hard) 1
08:00 Finished 0800
LV R. Strombachs
RU A. Arzhankin
2 0
▾1.62 ▴2.32
2 ▴2.32
3646
U22.5 ▾1.59
2.4/10
M15+H Rodez Hard ITF Men - M15+H Rodez (Hard) 1
13:30 Finished 1330
FR A. Gobat
NL J. Sels
2 1
▾1.91 ▴1.92
2 ▴1.92
755726
O23.5 2.17
6.0/10
M25 Darwin Hard ITF Men - M25 Darwin (Hard) 1
06:30 Finished 0630
AU C. Hoole
AU S. Vujić
1 2
▾1.26 ▴3.5
1 ▾1.26
644675
1 ▾1.26
5.3/10
M25 Kigali Clay ITF Men - M25 Kigali (Clay) 1
11:00 Finished 1100
NL M. Houkes
IN D. Javia
2 1
▾1.1 ▴5.75
1 ▾1.1
6362
1 ▾1.1
6.8/10
M25 Luan Hard ITF Men - M25 Luan (Hard) 1
03:00 Finished 0300
AU M. Dellavedova
TR M. Alkaya
2 0
▾1.77 ▴2.32
1 ▾1.77
6463
1 ▾1.77
3.6/10
M25 Santa Margherita di Clay ITF Men - M25 Santa Margherita di (Clay) 1
09:00 Finished 0900
PL D. Michalski
IT A. Weis
1 2
▾1.2 ▴3.7
1 ▾1.2
613664
1 ▾1.2
6.3/10
W15 Chisinau Clay ITF Women - W15 Chisinau (Clay) 1
09:00 Finished 0900
NO A. W. B. Olsen
RU F. Dorofeeva-R.
0 2
▾5.8 ▴1.12
2 ▴1.12
1636
2 ▴1.12
5.5/10
W15 Islamabad Hard ITF Women - W15 Islamabad (Hard) 1
09:00 Finished 0900
FR A. Cirotte
TH K. Yodpetch
2 0
▴2.58 ▾1.47
2 ▾1.47
623667
2 ▾1.47
2.8/10
W15 Maanshan Hard ITF Women - W15 Maanshan (Hard) 1
03:00 Finished 0300
RU D. Egorova
CN J. Zhang
2 0
▾1.12 ▴5.4
1 ▾1.12
6262
1 ▾1.12
5.6/10
W15 Sharm El Sheikh Hard ITF Women - W15 Sharm El Sheikh (Hard) 1
08:00 Finished 0800
UA A. Sushkova
Y. Perapekhina
1 2
▴2.22 ▾1.68
2 ▾1.68
576226
2 ▾1.68
6.9/10
W35 Lagos Hard ITF Women - W35 Lagos (Hard) 1
11:00 Finished 1100
IN M. R. Revathi
ES C. Cerviño Ruiz
2 0
▾1.8 ▴1.92
2 ▴1.92
4646
2 ▴1.92
4.6/10
W35 Las Vegas, NV Hard ITF Women - W35 Las Vegas, NV (Hard) 1
18:00 Finished 1800
DK E. Kamper
IT F. Pace
2 0
▾2.04 ▴1.77
2 ▴1.77
763616
2 ▴1.77
1.7/10
W35 Monastir Hard ITF Women - W35 Monastir (Hard) 1
10:00 Finished 1000
PL Z. Pawlikowska
FR T. Lemaitre
1 2
▴1.87 ▾1.93
1 ▴1.87
633675
1 ▴1.87
1.5/10
W35 Santa Margherita di Clay ITF Women - W35 Santa Margherita di (Clay) 1
09:00 Finished 0900
DE J. Steur
SE L. Zaar
2 1
1.57 2.34
2 2.34
753626
O20.5 ▾1.83
6.6/10
W35 Villeneuve d'Ascq Hard ITF Women - W35 Villeneuve d'Ascq (Hard) 1
10:00 Finished 1000
FR E. Lene
FR A. Monnot
2 1
▴1.95 ▾1.82
2 ▾1.82
613657
O19.5 ▴1.61
8.5/10
W35 Wagga Wagga Hard ITF Women - W35 Wagga Wagga (Hard) 1
01:00 Finished 0100
JP N. Sato
JP E. Shibahara
0 2
▴2.22 ▾1.66
1 ▴2.22
6463
U21.5 ▴1.8
3.1/10
W50 Burgas Clay ITF Women - W50 Burgas (Clay) 1
08:30 Finished 0830
UA A. Sobolieva
ES A. Mintegi del
1 2
▴1.88 ▾1.92
1 ▴1.88
6364
1 ▴1.88
1.6/10
W50 Heraklion Clay ITF Women - W50 Heraklion (Clay) 1
08:00 Finished 0800
TR I. Oz
CZ A. Oktiabreva
0 2
▴3.85 ▾1.26
2 ▾1.26
754636
2 ▾1.26
1.7/10
W50 Lexington, SC Hard ITF Women - W50 Lexington, SC (Hard) 3
00:00 Finished 0000
NL A. Rus
US K. Carnicella
1 2
1.27 3.5
1 1.27
622675
O19.5 ▴1.8
6.9/10
00:00 Finished 0000
US M. Brengle
AU A. Sharma
0 2
▴1.72 ▾2.01
1 ▴1.72
633675
1 ▴1.72
5.6/10
17:00 Finished 1700
AU A. Sharma
US K. Carnicella
2 0
▾1.28 ▴3.25
2 ▴3.25
676326
O21.5 ▴2.12
4.2/10

18+ · Predictions are AI-generated for informational use · We never place bets on your behalf

TennisPredictions.ai

The model behind our AI tennis predictions

01

Every day, our model works through the full schedule, reading serve numbers, rally patterns and recent form to build that day's tennis predictions.

02

Learning from every match: Our system takes in every new result and keeps updating its tennis predictions across ATP and WTA events.

03

Grounded in the details: Form, surface and match context all feed into the model, and that is how it arrives at every tennis prediction it publishes.

04

Powered by artificial intelligence, machine learning, and mathematical modeling, our Java-based engine delivers tennis predictions for every match, built the same way each time.

05

AI that never rests: When hundreds of ATP, WTA and Challenger matches are on the schedule, manual analysis can’t keep up — our model highlights the highest-confidence picks.

06

Transparency matters to us, so nothing is hidden: our Progress page tracks how every prediction has turned out, match by match.

Smarter tennis predictions

Why choose our daily forecasts

Every ATP and WTA match leaves a trail of numbers behind it: serve percentages, break points saved, how a player holds up on clay or on a quick indoor court. Our AI model reads all of it and gives you a clear view of each match before the first ball is struck, which is where our daily tennis predictions come from.

ATPWTACHALLENGERITFGRAND SLAMS

SMARTER PICKS

The model does the analysis for you: every pick comes with its odds and a trust score, and every one is graded once the match ends.

WORLDWIDE COVERAGE

From Grand Slams to local qualifiers, our platform delivers tennis predictions for every match.

Verified results

How the model does across every tour

Today's board lists every match the model has an opinion on — ATP and WTA main draws, Challenger and ITF, qualifying included. For each one the model names the expected winner, an over/under on the number of games and a correct score, and the result stays on the row once the match is over.

Since 17 Nov 2025, 39,937 predictions have been settled here, about 122 on an average day, and 67.2% of the best tips have won. The table below breaks that record down by surface, one of the factors the model weighs most heavily.

Surface Settled Success
Hard 21,239 66.9%
Clay 17,377 67.1%
Grass 1,321 72.5%

The table counts the best tip of every match in the archive, including team events that are not part of any tour. Each circuit page shows the same table for its own tour.

THE SCIENCE OF PREDICTION

Inside our prediction engine

1

Advanced tennis data gathering

Every tennis prediction starts with data: our Java-based engine continuously collects match statistics from professional tennis feeds through secure APIs, cleaning and cross-checking every input before it reaches the model. Inputs range from serve accuracy, break points and aces to player fatigue, surface type and real-time performance metrics.

Designed specifically for high-frequency tennis analysis, our scalable data platform stores every piece of information it receives. From live scores to historical results, player rankings, and schedule updates, the system ensures nothing is missed when building each tournament's insights.

2

Making the data trustworthy

Raw tennis data arrives messy. A retirement mid-set, a walkover logged as a straight-sets win, the same player spelled two different ways across two feeds: all of it has to be caught before the model ever sees it. Every record is checked against the rest, corrected where it can be and discarded where it cannot.

This is the least visible stage of the process, and the one that determines the quality of everything after it. A model trained on unreliable numbers will still return a confident answer, only the wrong one. Anomalies and distorted records are filtered out, and anything we cannot verify is left out of the training data rather than passed on to the model.

3

From patterns to predictions

Once the raw data is processed, our proprietary engine — built on advanced deep neural networks and adaptive pattern recognition — produces each tennis prediction. It evaluates a broad range of contextual variables, including player momentum, recent performance trends, head-to-head matchups, serve-return efficiency, surface adaptability, and psychological resilience under tournament pressure. The model then combines these multidimensional factors into one forecast per market, and every forecast is graded once the match ends.

Everything you should know

Frequently asked questions

support@tennispredictions.ai

Tennis predictions: the basics

What does TennisPredictions.ai do?

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TennisPredictions.ai is an AI-powered tennis predictions platform developed by NerdyTips. It provides match forecasts for ATP, WTA, Challenger and ITF tournaments around the world. Each prediction is generated automatically by our AI model, which analyzes thousands of match variables — from player form and fatigue to surface compatibility and serving performance. Every match page also carries detailed player stats, the latest results and the head-to-head record, so you can follow the reasoning behind each forecast.

How does your tennis prediction algorithm work?

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NT Apex, the proprietary AI engine NerdyTips built for our tennis predictions, follows a dual-layer model: a parametric core that stores and adjusts learned weight coefficients for key player metrics — such as serve efficiency, return points won, break conversion rate, and unforced error patterns — and a higher-level pattern recognition module that detects hidden performance trends over time. It runs across a distributed Java-based infrastructure built to scale. Each match result continuously retrains the system, allowing it to adapt dynamically to player form, fatigue, and evolving tour conditions. In addition to player-level modeling, NT Apex incorporates contextual layers like surface type (hard, clay, grass), tournament tier, and historical head-to-head performance. By combining structured data analysis with machine learning feedback loops, the system delivers consistent forecasts, never adjusted by hand, for every ATP, WTA, Challenger, and ITF event. The same core framework also powers the football version of NT Apex.

What makes TennisPredictions.ai different?

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Most tennis previews come down to an opinion about who looks the stronger player on the day. TennisPredictions.ai works from the record instead: how each player performs on this surface, how heavy their schedule has been in recent weeks, what their current form shows, and what the head-to-head actually says rather than what it is remembered for. The model runs the match through repeated simulations and weighs the outcomes before settling on a prediction. And because every tennis prediction is published with its reasoning and the stats behind it, you can judge the case yourself instead of taking a number on trust.

What goes into every tennis prediction:

  • Our AI model analyzes serve quality, return efficiency, and surface-specific strengths.
  • Nobody touches the output: the process is entirely automated, running on verified statistical data alone — no human bias enters the forecast.
  • Detailed player statistics, recent form graphs, and head-to-head history appear on each match page for deeper insight.

Can I place bets on TennisPredictions.ai?

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No — this is an analytics platform, not a sportsbook. There is no wagering of any kind here, and we do not promote or encourage gambling: all we offer is tennis analysis.

About our tennis forecasts

What do the different tennis prediction types mean?

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Our platform generates several types of tennis predictions for each match, based on the available data and tournament context. Here’s what they mean:

  • 1: The first-listed player wins.
  • 2: The second-listed player wins.
  • Set score: Predicted outcome in sets, such as 2–0, 2–1, or 3–2, depending on the tournament format.
  • Total games: A pick on whether the match goes over or under a given number of games, counted across all sets.
  • Exact score: Exact scoreline prediction, including the games per set.

Which tennis tournaments does your AI model cover?

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Our AI model covers every major professional tennis tournament: ATP, WTA, Challenger, ITF and Grand Slam events. Coverage widens continuously as new tournaments and players join the global schedule.

Can I view tennis statistics for players and matches?

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Absolutely. Every match page on TennisPredictions.ai includes a complete set of player and match statistics to help users better understand each tennis prediction. These include:

  • Key player performance metrics such as aces, double faults, breaks converted, total points won, and first-serve percentage.
  • Recent form overview from the last 10 matches — showing wins, losses, winning and losing streaks, and unexpected results.
  • Head-to-head record between the two players, including outcomes and set scores from previous encounters.
  • Recent match history for each player, offering quick access to their latest performances and momentum before the match.

Do you provide fixed matches or insider tips?

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No. TennisPredictions.ai does not provide or claim to offer fixed matches or insider tips. All insights are generated objectively using data analysis and AI-driven learning models.