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Sunday, October 18

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 2,443 graded picks
115 Matches predicted today ATP, WTA, Challenger, ITF
7/8 Free picks won yesterday graded on the final score
81%

Bankers win rate

From 2,443 graded picks

115 Matches predicted today

Sort by

Today's free picks

8
02:15 Finished 0215
JP N. Nishino
US A. Penickova
0 2
▴2.93 ▾1.38
2 ▾1.38
2646
2 ▾1.38
5.3/10
02:30 Finished 0230
BY M. Borisiouk
AU M. Dellavedova
0 2
▴2.45 ▾1.53
2 ▾1.53
632646
O19.5 ▾1.55
4.6/10
03:00 Finished 0300
BY D. Khomutsianskaya
CN S. Wei
0 2
2.02 1.85
1 2.02
645763
O22.5 2.15
6.1/10
03:30 Finished 0330
AU M. Joint
US K. Day
2 1
▴1.7 ▾2.12
2 ▾2.12
4636
O19.5 ▾1.52
3.7/10
04:00 RET 0400
UA D. Snigur
PL K. Kawa
0 1
▾1.18 ▴4.7
1 ▾1.18
624661
1 ▾1.18
7.9/10
04:00 Finished 0400
RU A. Zakharova
UZ P. Kudermetova
0 2
▾1.7 ▴2.1
1 ▾1.7
6463
O18.5 1.35
2.8/10
05:35 Finished 0535
GB H. Dart
JP A. Ito
2 1
1.59 2.4
1 1.59
6463
1 1.59
4.2/10
07:00 Finished 0700
CA G. Diallo
JP R. Sakamoto
1 2
▾1.9 ▴1.9
2 ▴1.9
633646
O20.5 ▾1.39
4.1/10

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

Almaty, Kazakhstan Hard ATP - Almaty, Kazakhstan (Hard) 4
07:00 Finished 0700
AU A. Walton
GE N. Basilashvili
0 2
▴2.23 ▾1.66
1 ▴2.23
366364
O20.5 ▴1.46
1.0/10
07:00 Finished 0700
CA G. Diallo
JP R. Sakamoto
1 2
▾1.9 ▴1.9
2 ▴1.9
633646
O20.5 ▾1.39
4.1/10
08:50 Finished 0850
RU R. Safiullin (1)
RU I. Simakin (8)
2 0
▴1.25 ▾4
1 ▴1.25
6364
1 ▴1.25
6.4/10
11:00 Finished 1100
KZ A. Shevchenko (3)
GR S. Sakellaridis (6)
0 2
▾1.52 ▴2.48
1 ▾1.52
6476
1 ▾1.52
2.8/10
Brussels, Belgium, Qualifying Hard ATP - Brussels, Belgium, Qualifying (Hard) 4
11:30 Finished 1130
CH R. Bertola
IT F. Cinà (5)
1 2
▾2.4 ▴1.54
1 ▾2.4
7664
O20.5 1.53
3.9/10
14:00 Finished 1400
US N. Basavareddy (3)
TN A. Dougaz
2 0
▾1.19 ▴4.55
1 ▾1.19
6364
1 ▾1.19
2.8/10
14:20 Finished 1420
FR C. Chidekh (4)
BE G. Onclin (8)
2 0
1.31 3.6
1 1.31
6462
1 1.31
4.4/10
16:20 Finished 1620
US M. Damm Jr (1)
IT A. Guerrieri (7)
1 2
▴1.36 ▾3.05
1 ▴1.36
366364
1 ▴1.36
2.8/10
Lyon, France Clay ATP - Lyon, France (Clay) 8
10:00 Finished 1000
AT J. Rodionov
FR P. Herbert
1 2
▾1.72 ▴2.08
1 ▾1.72
7664
O19.5 ▴1.29
1.0/10
10:00 Finished 1000
FI O. Virtanen
UA V. Sachko
0 2
▾1.37 ▴3.05
1 ▾1.37
6476
1 ▾1.37
1.6/10
11:50 Finished 1150
CZ M. Mrva
RS D. Lajović
2 0
2.2 1.69
2 1.69
643626
O18.5 ▴1.28
1.0/10
12:35 Finished 1235
FR K. Jacquet
FR S. Gueymard
2 0
▴1.65 ▾2.3
1 ▴1.65
643662
1 ▴1.65
5.7/10
14:00 Finished 1400
IT F. Maestrelli
HR B. Gojo
1 2
▴2.85 ▾1.41
2 ▾1.41
466336
2 ▾1.41
3.5/10
14:20 Finished 1420
FR V. Royer
FR C. Tabur
1 2
▴1.63 ▾2.23
1 ▴1.63
366463
O19.5 ▾1.28
2.3/10
16:50 Finished 1650
CZ J. Kumstat
US M. Mmoh
1 2
▾1.85 ▴2.02
1 ▾1.85
7664
1 ▾1.85
6.3/10
17:45 Finished 1745
FR U. Blanchet
NO N. Budkov Kjaer
1 2
▴2.55 ▾1.49
2 ▾1.49
366436
2 ▾1.49
4.8/10
Shanghai, China Hard ATP - Shanghai, China (Hard) 1
09:30 Finished 0930
ES A. Davidovich (25)
ES R. Jódar (12)
2 1
▾2.25 ▴1.8
2 ▴1.8
643636
U30.5 ▾1.21
3.0/10
Lisbon, Portugal Clay WTA - Lisbon, Portugal (Clay) 1
11:00 Finished 1100
FR C. Burel
ES L. Romero (6)
2 0
▴1.37 ▾3.25
2 ▾3.25
366146
O17.5 ▾1.35
4.4/10
Mallorca, Spain Clay WTA - Mallorca, Spain (Clay) 1
09:00 Finished 0900
ES A. Geerlings (WC)
CZ L. Samson (2)
2 0
▾2.5 ▴1.52
1 ▾2.5
6463
O17.5 ▾1.23
1.0/10
Ningbo, China, Qualifying Hard WTA - Ningbo, China, Qualifying (Hard) 6
04:00 RET 0400
UA D. Snigur
PL K. Kawa
0 1
▾1.18 ▴4.7
1 ▾1.18
624661
1 ▾1.18
7.9/10
05:45 RET 0545
UA A. Kalinina
BY A. Sasnovich
0 0
▴2.28 ▾1.61
1 ▴2.28
632664
O18.5 ▴1.36
1.0/10
04:00 Finished 0400
RU A. Zakharova
UZ P. Kudermetova
0 2
▾1.7 ▴2.1
1 ▾1.7
6463
O18.5 1.35
2.8/10
05:10 Finished 0510
US A. Parks
KZ Y. Putintseva
0 2
▾3.15 ▴1.38
2 ▴1.38
3646
2 ▴1.38
7.5/10
06:45 Finished 0645
CN H. Shi
RU A. Korneeva
2 0
▾3.3 ▴1.35
2 ▴1.35
4636
O17.5 ▾1.36
3.5/10
07:00 Finished 0700
RU T. Prozorova
UZ K. Rakhimova (8)
1 2
▴2.25 ▾1.63
1 ▴2.25
624663
O18.5 ▾1.33
3.7/10
Osaka, Japan, Qualifying Hard WTA - Osaka, Japan, Qualifying (Hard) 6
03:30 RET 0330
AU T. Preston
AU E. Jones
0 0
▴1.85 ▾1.91
1 ▴1.85
642663
1 ▴1.85
5.6/10
03:30 Finished 0330
US M. Stoiana
JP S. Ishii
2 0
▾1.09 ▴7.5
1 ▾1.09
6364
1 ▾1.09
10.0/10
03:30 Finished 0330
AU M. Joint
US K. Day
2 1
▴1.7 ▾2.12
2 ▾2.12
4636
O19.5 ▾1.52
3.7/10
04:35 Finished 0435
US C. Liu
AU M. Inglis
2 0
▾1.5 ▴2.65
1 ▾1.5
6463
1 ▾1.5
6.6/10
05:35 Finished 0535
GB H. Dart
JP A. Ito
2 1
1.59 2.4
1 1.59
6463
1 1.59
4.2/10
05:55 Finished 0555
AT S. Kraus
US S. Kenin
2 0
▴2 ▾1.8
1 ▴2
624663
O19.5 1.53
2.6/10
Rovereto, Italy Hard WTA - Rovereto, Italy (Hard) 1
13:00 Finished 1300
CA B. Andreescu
CZ D. Salkova (6)
2 0
▾1.32 ▴3.3
1 ▾1.32
6462
1 ▾1.32
3.7/10
Wuhan, China Hard WTA - Wuhan, China (Hard) 1
11:30 Finished 1130
PL M. Chwalinska (16)
GB S. Kartal
2 1
▾2.02 ▴1.95
1 ▾2.02
641663
1 ▾2.02
3.5/10
Cali, Colombia Clay Challenger - Cali, Colombia (Clay) 11
16:00 Finished 1600
CO F. Rengifo
CL N. Villalon
2 0
▴3.15 ▾1.32
2 ▾1.32
623657
2 ▾1.32
6.3/10
16:05 Finished 1605
BR J. Pereira
US T. McCormick
2 0
▾2.04 ▴1.7
1 ▾2.04
266476
1 ▾2.04
6.0/10
17:20 Finished 1720
CL B. Torrealba
CO D. Salazar
0 2
2.1 1.74
1 2.1
642662
O20.5 ▴1.76
3.1/10
17:35 Finished 1735
CR J. Flores
AR F. Ribero
0 2
▾2.4 ▴1.48
1 ▾2.4
625764
O21.5 1.77
6.7/10
18:00 Finished 1800
BR F. Meligeni
IT L. Claverie
2 0
▾1.16 ▴5.3
1 ▾1.16
623664
1 ▾1.16
7.5/10
18:50 Finished 1850
DE D. Dedura
CO A. Soriano
2 0
▴1.11 ▾5.75
1 ▴1.11
623663
1 ▴1.11
7.5/10
19:30 Finished 1930
BR M. Alves
ES B. Munk Mesa
2 0
▴1.22 ▾4.25
2 ▾4.25
4636
U22.5 ▴1.57
1.3/10
S3 S3
CO S. Hernandez
BR W. Leite
12 11
▴2.47 ▾1.49
5.6/10
S2 S2
AR M. del Pino
CO J. Gómez
01 14
▴3 ▾1.34
4.4/10
S2 S2
MX A. Hernandez
IT M. Covato
12 02
▴1.2 ▾4
7.2/10
21:50 Upcoming 2150
AR S. Rodriguez (4)
AR F. de Dios
–
1.05 ▴7.3
2.6/10
Catania, Italy Clay Challenger - Catania, Italy (Clay) 1
10:00 Finished 1000
IT G. Cadenasso (3)
RO R. M. Papoe
2 1
▾1.74 ▴2.12
1 ▾1.74
266364
O18.5 1.34
3.0/10
Florence, Italy Clay Challenger - Florence, Italy (Clay) 10
09:00 RET 0900
IT M. Sciahbasi
CZ D. Siniakov
0 1
▾2.63 ▴1.42
1 ▾2.63
633675
O21.5 ▴1.97
4.3/10
09:00 Finished 0900
IT M. Nannelli
GR D. Sakellaridis
0 2
▴3.15 ▾1.32
2 ▾1.32
2636
U21.5 ▾1.64
5.3/10
09:00 Finished 0900
ES S. Perez Contri
RO S. Gima
2 0
▾1.61 ▴2.43
1 ▾1.61
632675
O20.5 ▴1.68
8.3/10
10:00 Finished 1000
ES I. Almazan
BG A. Andreev
2 1
▾2.22 ▴1.6
1 ▾2.22
632664
1 ▾2.22
4.2/10
10:55 Finished 1055
AT F. Misolic
CZ D. Reček
2 0
▴1.23 ▾4.35
2 ▾4.35
466136
O18.5 1.51
2.6/10
11:35 Finished 1135
CZ J. Vrba
ES A. Marti
0 2
▾2.9 ▴1.38
2 ▴1.38
632646
2 ▴1.38
4.4/10
12:30 Finished 1230
IT F. Iannaccone
IT P. Basile
0 2
▾1.85 ▴1.83
1 ▾1.85
764663
1 ▾1.85
2.9/10
13:40 Finished 1340
KZ D. Popko
IT D. Rapagnetta
2 1
▴1.56 ▾2.22
2 ▾2.22
2657
2 ▾2.22
2.9/10
14:20 Finished 1420
CZ M. Donald
IT G. Pennaforti
2 0
▾1.15 ▴6.1
1 ▾1.15
6463
2:0 ▾1.37
10.0/10
15:40 Finished 1540
RU P. Lagutin
BG Y. Milev
0 2
▾1.28 ▴3.4
1 ▾1.28
266463
1 ▾1.28
4.1/10
Fort Worth, USA Hard Challenger - Fort Worth, USA (Hard) 12
17:05 Finished 1705
US K. Poling
US A. Rybakov
0 2
▴2.35 ▾1.56
1 ▴2.35
366364
O21.5 ▴1.66
1.0/10
17:05 Finished 1705
CA K. Rice
NL S. Jong
1 2
▴1.87 ▾1.89
2 ▾1.89
752626
O20.5 ▴1.64
4.5/10
17:05 Finished 1705
JP K. Miyoshi
US K. Chopra
2 0
▾1.18 ▴5
1 ▾1.18
6364
1 ▾1.18
5.2/10
18:35 Finished 1835
ES R. Pascual
CA D. Chan
1 2
▴2.1 ▾1.65
2 ▾1.65
642636
2 ▾1.65
5.6/10
19:45 Finished 1945
JP J. Trotter
US G. Young
1 2
▾1.76 ▴1.98
1 ▾1.76
366364
1 ▾1.76
2.1/10
S3 S3
US C. Woestendick
SI B. Artnak
15 16
▾1.8 ▴1.91
6.7/10
S2 S2
US Q. Vandecasteele
US M. Antonius
10 01
▴1.97 ▾1.82
4.4/10
21:50 Upcoming 2150
JP S. Mitsui
DE P. Zahraj
–
▾1.49 ▴2.5
6.0/10
22:20 Upcoming 2220
ES A. Pedrico
BY D. Ostapenkov
–
▾2.14 ▴1.63
6.5/10
22:20 Upcoming 2220
US A. Fenty
US K. Bigun
–
▴1.55 ▾2.3
1.0/10
23:00 Upcoming 2300
US J. Sheehy
GB A. McHugh
–
▴2.9 ▾1.38
8.0/10
23:30 Upcoming 2330
US S. Johnson
BY E. Arutiunian
–
▾1.38 ▴2.75
9.0/10
Guangzhou Nansha Hard Challenger - Guangzhou Nansha (Hard) 11
08:50 RET 0850
MY M. W. K. Leong
CN F. Jiang
1 1
▾1.05 ▴8.6
1 ▾1.05
6363
2:0 ▾1.15
10.0/10
04:00 Finished 0400
FR A. Weber
CZ D. Palan
0 3
▴1.24 ▾3.85
1 ▴1.24
6364
1 ▴1.24
5.3/10
04:00 Finished 0400
CN X. Yang
UZ K. Sultanov
0 2
▴8.6 ▾1.01
2 ▾1.01
366257
2 ▾1.01
8.0/10
05:20 Finished 0520
AU O. Jasika
JP H. Moriya
2 0
▴1.46 ▾2.55
1 ▴1.46
6463
1 ▴1.46
3.2/10
05:25 Finished 0525
JP M. Imamura
GE S. Purtseladze
0 2
1.62 2.22
1 1.62
6260
1 1.62
4.2/10
06:30 Finished 0630
JP Y. Shimizu
AU M. Purcell
0 2
▴2.65 ▾1.43
1 ▴2.65
633664
O21.5 1.65
1.9/10
06:50 Finished 0650
CN Y. Zeng
US E. Zhu
1 2
3.45 1.28
2 1.28
2646
2 1.28
8.1/10
07:10 Finished 0710
GB M. Hurrion
JP K. Matsuda
1 2
▴1.42 ▾2.65
1 ▴1.42
6275
U22.5 1.73
3.8/10
07:45 Finished 0745
RU Y. Demin
IT A. Binda
2 0
▾1.74 ▴2
2 ▴2
4636
O20.5 ▾1.62
2.7/10
09:35 Finished 0935
RU E. Pleshivtsev
CH L. Castelnuovo
0 2
2.6 1.48
1 2.6
266476
O22.5 ▾1.97
4.2/10
09:40 Finished 0940
TH K. Samrej
JP N. Honda
2 1
▴1.38 ▾2.8
2 ▾2.8
4667
O21.5 ▾1.65
1.7/10
Jinan, China Hard Challenger - Jinan, China (Hard) 1
09:00 Finished 0900
IT M. Bellucci (8)
ES M. Landaluce (5)
2 1
1.62 ▴2.29
1 1.62
6476
1 1.62
3.7/10
Lisbon, Portugal Clay Challenger - Lisbon, Portugal (Clay) 7
11:25 RET 1125
JO A. Shelbayh
ES P. Rodenas
1 1
▾1.55 ▴2.36
1 ▾1.55
613676
1 ▾1.55
7.4/10
13:00 RET 1300
PT J. Domingues
RU I. Gakhov
1 0
▴2.37 ▾1.49
1 ▴2.37
643662
O20.5 ▴1.66
1.0/10
11:30 Finished 1130
SK A. Martin
PT T. Cação
1 1
▴1.53 ▾2.37
1 ▴1.53
6364
1 ▴1.53
10.0/10
13:10 Finished 1310
PT P. Liborio
UA O. Krutykh
0 2
▴23 ▾1.02
2 ▾1.02
2646
2 ▾1.02
5.4/10
14:45 Finished 1445
CH P. Schoen
PT F. Rocha
2 1
▾1.16 ▴4.6
1 ▾1.16
6364
1 ▾1.16
6.8/10
15:55 Finished 1555
ES C. Taberner
PT G. Marques
2 0
▾1.09 ▴6
1 ▾1.09
6463
1 ▾1.09
5.0/10
16:05 Finished 1605
DE K. Wehnelt
SK M. Karol
2 1
▾2.12 ▴1.64
1 ▾2.12
643663
1 ▾2.12
4.8/10
Maia, Portugal Clay Challenger - Maia, Portugal (Clay) 1
13:00 Finished 1300
IT F. Passaro
HU Z. Piros (3)
2 1
▴2.08 ▾1.78
2 ▾1.78
466336
2 ▾1.78
5.6/10
Olbia, Italy Hard Challenger - Olbia, Italy (Hard) 1
14:00 Finished 1400
GB J. Fearnley (1)
BA D. Džumhur (2)
0 2
▾1.36 ▴3.15
2 ▴3.15
634626
O18.5 ▴1.39
1.3/10
Santa Cruz 2, Bolivia Clay Challenger - Santa Cruz 2, Bolivia (Clay) 1
S1 S1
BR T. Wild (3)
BO H. Dellien (2)
02 04
▴1.68 ▾2.34
2.8/10
M15 Bol Clay ITF Men - M15 Bol (Clay) 1
11:30 Finished 1130
RS K. Juhas
PL A. Wazny
2 0
▾1.4 ▴3
1 ▾1.4
6364
U22.5 1.59
4.3/10
M15 Heraklion Hard ITF Men - M15 Heraklion (Hard) 2
08:00 Finished 0800
GR I. Xilas
SI L. Talan
1 2
▴1.28 ▾3.25
2 ▾3.25
752626
2 ▾3.25
1.0/10
08:04 Finished 0804
GB F. Murgett
IL A. Vales
0 2
▴1.9 ▾1.8
2 ▾1.8
625736
O20.5 ▴1.75
6.9/10
M15 Lexington, KY Hard ITF Men - M15 Lexington, KY (Hard) 1
15:00 Finished 1500
US J. Anthrop
FR T. Papamalamis
1 2
▾1.76 ▴2.12
1 ▾1.76
266376
O21.5 ▴1.85
4.4/10
M15 Maringa Clay ITF Men - M15 Maringa (Clay) 1
14:00 Finished 1400
BR P. Sakamoto
BR J. Schiessl
0 2
▴1.66 ▾2.18
2 ▾2.18
4636
U22.5 ▴1.64
2.4/10
M15 Monastir Hard ITF Men - M15 Monastir (Hard) 1
10:05 Finished 1005
FR R. Bertrand
DE L. Wiedenmann
0 2
▾1.57 ▴2.26
2 ▴2.26
466436
O20.5 ▴1.74
6.9/10
M15 Quito Clay ITF Men - M15 Quito (Clay) 1
17:00 Finished 1700
CO J. S. Osorio
BR L. Andrade Da
0 2
▴3.95 ▾1.26
2 ▾1.26
4646
2 ▾1.26
3.0/10
M15 Sharm El Sheikh Hard ITF Men - M15 Sharm El Sheikh (Hard) 1
08:00 Finished 0800
FI O. Paldanius
BE R. Faucon
2 0
1.65 2.19
1 1.65
644664
O21.5 ▴1.9
6.4/10
M15 Szabolcsveresmart Hard ITF Men - M15 Szabolcsveresmart (Hard) 1
09:00 Finished 0900
SK L. Pokorny
IT P. O. Fellin
2 0
▾1.53 ▴2.37
1 ▾1.53
6264
U22.5 ▾1.63
6.4/10
M25 Austin, TX Hard ITF Men - M25 Austin, TX (Hard) 1
18:00 Finished 1800
GB A. Gray
FR C. Rolland de
1 2
▾1.55 ▴2.45
2 ▴2.45
676326
O21.5 1.9
6.4/10
M25 Luanda Hard ITF Men - M25 Luanda (Hard) 1
11:00 Finished 1100
BE J. Loge
FR T. Faurel
2 0
▴2.47 ▾1.5
2 ▾1.5
3657
2 ▾1.5
2.0/10
M25 Qian Daohu Hard ITF Men - M25 Qian Daohu (Hard) 1
02:30 Finished 0230
BY M. Borisiouk
AU M. Dellavedova
0 2
▴2.45 ▾1.53
2 ▾1.53
632646
O19.5 ▾1.55
4.6/10
M25 Solapur Hard ITF Men - M25 Solapur (Hard) 1
04:30 Finished 0430
US S. Banerjee
IN K. Singh
2 1
▾1.4 ▴3.1
2 ▴3.1
3657
2 ▴3.1
2.3/10
W100 Edmond, OK Hard ITF Women - W100 Edmond, OK (Hard) 1
18:00 Finished 1800
US S. Stephens
RU K. Liutova
2 0
▴2.58 ▾1.41
2 ▾1.41
466136
2 ▾1.41
1.7/10
W15 Bol Clay ITF Women - W15 Bol (Clay) 1
10:00 Finished 1000
DE A. Petković
HR T. Würth
0 2
▴4.65 ▾1.17
1 ▴4.65
6463
1 ▴4.65
3.9/10
W15 Chisinau Clay ITF Women - W15 Chisinau (Clay) 1
08:00 Finished 0800
RU F. Dorofeeva-R.
RO G. S. Popa
2 0
▴1.56 ▾2.35
2 ▾2.35
4646
O19.5 ▾1.63
1.0/10
W15 Sharm El Sheikh Hard ITF Women - W15 Sharm El Sheikh (Hard) 1
08:00 Finished 0800
Y. Perapekhina
EG L. Alhussein
2 1
▾1.3 ▴3.6
2 ▴3.6
576206
O18.5 ▴1.61
4.9/10
W15 Shenzhen Hard ITF Women - W15 Shenzhen (Hard) 1
03:00 Finished 0300
BY D. Khomutsianskaya
CN S. Wei
0 2
2.02 1.85
1 2.02
645763
O22.5 2.15
6.1/10
W35 Heraklion Clay ITF Women - W35 Heraklion (Clay) 1
08:30 Finished 0830
CZ A. Oktiabreva
BE T. Di Girolami
2 1
▴1.07 ▾7
1 ▴1.07
6363
2:0 ▴1.14
2.0/10
W35 Monastir Hard ITF Women - W35 Monastir (Hard) 1
10:08 Finished 1008
RS E. Milovanović
IN V. Adkar
2 0
2.8 1.39
2 1.39
3636
U21.5 ▾1.63
4.5/10
W35 Redding, CA Hard ITF Women - W35 Redding, CA (Hard) 1
02:15 Finished 0215
JP N. Nishino
US A. Penickova
0 2
▴2.93 ▾1.38
2 ▾1.38
2646
2 ▾1.38
5.3/10
W35 Santa Margherita di Clay ITF Women - W35 Santa Margherita di (Clay) 1
09:00 Finished 0900
IT J. Pieri
FR N. Radovanović
2 0
▾1.58 ▴2.23
2 ▴2.23
753616
O19.5 ▴1.63
7.5/10
W50 Quebec City Hard ITF Women - W50 Quebec City (Hard) 1
17:00 Finished 1700
SE K. Rinaldo
GB M. Xu
2 0
▴1.8 ▾2.05
1 ▴1.8
366264
1 ▴1.8
2.5/10
W50 Stara Zagora Clay ITF Women - W50 Stara Zagora (Clay) 3
08:00 Finished 0800
BR C. Alves
CZ A. Kovačková
0 2
▴4.75 ▾1.16
2 ▾1.16
624657
2 ▾1.16
6.2/10
08:00 Finished 0800
TR I. Oz
CZ L. Petruželova
2 0
▾1.16 ▴4.75
1 ▾1.16
6264
1 ▾1.16
4.9/10
12:00 Finished 1200
CZ A. Kovačková
TR I. Oz
0 2
▾1.62 ▴2.15
1 1.62
6464
1 ▾1.62
1.9/10

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, 41,063 predictions have been settled here, about 123 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 21,929 67%
Clay 17,813 67.2%
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.