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Thursday, November 5

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 2,564 graded picks
242 Matches predicted today ATP, WTA, Challenger, ITF
4/8 Free picks won yesterday graded on the final score
81%

Bankers win rate

From 2,564 graded picks

242 Matches predicted today

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Today's free picks

8
00:30 Finished 0030
MX A. Rubio
US E. Strode
2 0
▴1.26 ▾4.3
1 ▴1.26
6362
1 ▴1.26
8.9/10
03:00 Finished 0300
AU J. Delaney (Q)
AU O. Jasika (Q)
1 2
2.63 1.48
2 1.48
6746
2 1.48
2.3/10
06:15 Finished 0615
JP Y. Watanuki (Q)
JP M. Imamura (Q)
2 0
▾1.17 ▴4.8
1 ▾1.17
6364
1 ▾1.17
3.9/10
09:30 Finished 0930
JP M. Uchijima
PL M. Linette (3)
0 2
▾2.18 ▴1.7
2 ▴1.7
366426
2 ▴1.7
6.0/10
S1 S1
CZ T. Valentová
PH A. Eala (2)
01 04
▴2.72 ▾1.59
2 ▾1.59
633626
O17.5 1.3
4.2/10
S1 S1
HK C. Wong (1)
TW C. Hou (Q)
01 01
▾1.02 ▴16
1 ▾1.02
6364
1 ▾1.02
6.4/10
12:00 Upcoming 1200
RO S. Cirstea (1)
US M. Stoiana
–
▾1.25 ▴4.2
1 ▾1.25
6462
1 ▾1.25
6.3/10
16:00 Upcoming 1600
CZ D. Svrčina (6)
FR G. Mpetshi (Q)
–
▾2.12 ▴1.76
1 ▾2.12
643663
O20.5 1.39
2.6/10

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Paris, France Hard ATP - Paris, France (Hard) 8
S2 S2
US T. Paul (12)
FR Q. Halys
14 03
▾1.31 ▴3.55
5.1/10
11:10 Upcoming 1110
US B. Shelton (3)
FR A. Rinderknech
–
▴1.34 ▾3.5
5.6/10
13:00 Upcoming 1300
IT L. Musetti
FR L. Van Assche
–
▴1.38 ▴3.45
5.8/10
13:00 Upcoming 1300
AU R. Hijikata (Q)
AR T. Etcheverry
–
▴2.08 ▾1.76
4.2/10
14:10 Upcoming 1410
PT N. Borges (LL)
PE I. Buse
–
▾1.62 ▴2.45
5.4/10
15:20 Upcoming 1520
DE J. Struff
NO C. Ruud
–
▴2.6 ▾1.53
4.1/10
18:00 Upcoming 1800
IT M. Berrettini
ES C. Alcaraz (2)
–
▾5.8 ▴1.15
10.0/10
19:30 Upcoming 1930
FR A. Fils (6)
US T. Fritz (11)
–
▾1.8 ▴2.25
4.8/10
Cali, Colombia Clay WTA - Cali, Colombia (Clay) 3
17:00 Upcoming 1700
FR C. Monnet
ES L. Romero
–
▴2.5 ▾1.5
7.1/10
17:00 Upcoming 1700
AR J. Riera
MX R. Zarazúa (2)
–
▾1.88 ▴1.91
2.9/10
19:00 Upcoming 1900
AR L. Giovannini
CA B. Andreescu (8)
–
▴4.3 ▾1.22
6.5/10
Chennai, India Hard WTA - Chennai, India (Hard) 4
09:30 Finished 0930
JP M. Uchijima
PL M. Linette (3)
0 2
▾2.18 ▴1.7
2 ▴1.7
366426
2 ▴1.7
6.0/10
S2 S2
JP M. Hontama
KZ Z. Kulambayeva (Q)
05 13
▾1.22 ▴4.35
6.3/10
11:30 Upcoming 1130
CH S. Waltert
IT L. Stefanini (10)
–
▴2.6 ▾1.49
4.3/10
12:00 Upcoming 1200
RU A. Zakharova (7)
IN V. Adkar (WC)
–
▾1.1 ▴7
10.0/10
Hong Kong, Hong Kong Hard WTA - Hong Kong, Hong Kong (Hard) 5
06:00 Finished 0600
RU E. Pridankina (LL)
RU A. Shubladze (Q)
1 2
▴2.8 ▾1.44
2 ▾1.44
466136
U26.5 ▾1.3
4.7/10
06:00 Finished 0600
CN X. Wang (6)
HR A. Ružić
1 2
▾1.69 ▴2.25
1 ▾1.69
366264
U28.5 ▾1.25
3.9/10
08:40 Finished 0840
GB M. Stojsavljević
TR Z. Sönmez
0 2
▴4.3 ▾1.27
2 ▾1.27
2626
U23.5 ▾1.4
9.7/10
S1 S1
CZ T. Valentová
PH A. Eala (2)
01 04
▴2.72 ▾1.59
2 ▾1.59
633626
O17.5 1.3
4.2/10
12:00 Upcoming 1200
RO S. Cirstea (1)
US M. Stoiana
–
▾1.25 ▴4.2
1 ▾1.25
6462
1 ▾1.25
6.3/10
Luanda, Angola Hard WTA - Luanda, Angola (Hard) 4
09:00 Finished 0900
FR A. Blinkova (1)
CN Z. Li
2 1
▾1.07 ▴7.2
2 ▴7.2
3646
O16.5 ▾1.51
3.1/10
09:00 Finished 0900
RU K. Kroitor
RU K. Zaytseva
0 2
▾2.85 ▴1.4
2 ▴1.4
3626
U22.5 ▾1.51
7.6/10
S1 S1
LT J. Mikulskyte (5)
FR T. Lemaitre
00 00
▴2.33 ▾1.63
6.4/10
12:00 Upcoming 1200
IN M. Sawant (LL)
DE N. Noha Akugue (2)
–
▴21 ▾1.01
10.0/10
Bratislava 2, Slovakia Hard Challenger - Bratislava 2, Slovakia (Hard) 5
12:10 Upcoming 1210
RS L. Djere
FI O. Virtanen (7)
–
▴2.4 ▾1.56
1.0/10
12:10 Upcoming 1210
DE T. Gentzsch
HR M. Dodig
–
▴2.35 ▾1.58
2.8/10
13:20 Upcoming 1320
AT J. Rodionov
GB T. Samuel (2)
–
▾2.07 ▴1.72
5.9/10
16:00 Upcoming 1600
CZ D. Svrčina (6)
FR G. Mpetshi (Q)
–
▾2.12 ▴1.76
1 ▾2.12
643663
O20.5 1.39
2.6/10
17:10 Upcoming 1710
NO N. Budkov Kjaer
BE K. Coppejans
–
▾1.32 ▴3.25
3.1/10
Charlottesville, USA Hard Challenger - Charlottesville, USA (Hard) 4
16:00 Upcoming 1600
US A. Mayo (Q)
GB A. Gray
–
▾1.52 ▴2.45
2.8/10
17:10 Upcoming 1710
US D. Milavsky (Q)
DE M. Rehberg
–
▾1.97 ▴1.81
2.2/10
18:20 Upcoming 1820
PL M. Kaśnikowski
US M. Antonius (WC)
–
▴1.35 ▾2.95
3.2/10
23:00 Upcoming 2300
EC A. Andrade
JP J. Trotter (Q)
–
▴1.8 ▾1.93
8.9/10
Costa do Sauipe Clay Challenger - Costa do Sauipe (Clay) 4
18:00 Upcoming 1800
AR F. Diaz Acosta (1)
AT F. Misolic (Q)
–
▾1.45 ▴2.6
7.0/10
19:30 Upcoming 1930
BR J. Reis da
DK E. Møller (8)
–
2.37 1.59
3.5/10
19:30 Upcoming 1930
BR T. Monteiro
IT M. Cecchinato
–
▾1.68 ▴2.07
2.1/10
22:00 Upcoming 2200
BR T. Wild (4)
UY F. Roncadelli
–
1.07 6.7
3.1/10
Taipei, Chinese Taipei Hard Challenger - Taipei, Chinese Taipei (Hard) 6
03:00 Finished 0300
GB C. Broom
FR A. Muller (6)
1 2
▾2.16 ▴1.67
1 ▾2.16
6476
1 ▾2.16
3.4/10
03:00 Finished 0300
AU J. Delaney (Q)
AU O. Jasika (Q)
1 2
2.63 1.48
2 1.48
6746
2 1.48
2.3/10
05:50 Finished 0550
FR H. Mayot
JP S. Shimabukuro (2)
2 1
▾1.89 ▴2.02
2 ▴2.02
4667
O20.5 ▴1.51
2.8/10
06:15 Finished 0615
JP Y. Watanuki (Q)
JP M. Imamura (Q)
2 0
▾1.17 ▴4.8
1 ▾1.17
6364
1 ▾1.17
3.9/10
S2 S2
DK C. E. Overbeck
TH K. Samrej (LL)
03 15
▾1.72 ▴2.12
3.2/10
S1 S1
HK C. Wong (1)
TW C. Hou (Q)
01 01
▾1.02 ▴16
1 ▾1.02
6364
1 ▾1.02
6.4/10
Taranto, Italy Hard Challenger - Taranto, Italy (Hard) 8
09:30 Finished 0930
GB J. Clarke
IT G. Cadenasso (3)
2 0
▴1.92 1.84
2 1.84
633646
2 1.84
6.0/10
S3 S3
BG A. Andreev
FR M. Martineau
10 10
▾2.32 ▴1.58
1.9/10
S2 S2
GB F. Gill (6)
BE B. Gadamauri
16 05
▾1.7 ▴2.1
1.0/10
S1 S1
CH K. Feldbausch
CH R. Bertola
00 01
▴1.91 1.87
3.4/10
10:40 Upcoming 1040
CZ M. Mrva (7)
FR T. Faurel
–
▾1.49 ▴2.6
2.8/10
10:40 Upcoming 1040
IN S. Nagal
FR H. Grenier
–
▾1.87 ▴1.9
3.5/10
11:50 Upcoming 1150
ZA P. Henning
IT C. A. Caniato
–
1.89 1.93
2.5/10
13:00 Upcoming 1300
IT F. Maestrelli (1)
HU P. Makk (Q)
–
▾1.33 ▴3.2
2.4/10
Villa Maria, Argentina Clay Challenger - Villa Maria, Argentina (Clay) 4
15:00 Upcoming 1500
AR J. Torres (5)
NL R. Nijboer
–
▾1.59 ▴2.3
3.6/10
16:10 Upcoming 1610
AR I. Monzon
AR G. Olivieri (2)
–
4.9 1.13
8.4/10
16:10 Upcoming 1610
AR J. Ficovich
BO M. Dellien
–
▾1.56 ▴2.4
3.5/10
20:00 Upcoming 2000
AR F. Coria
AR V. Aboian (3)
–
▾1.9 ▴1.82
5.9/10
M15 Antalya Clay ITF Men - M15 Antalya (Clay) 7
07:00 Finished 0700
BE A. Basile
IT M. Nannelli
0 2
▴1.42 ▾2.68
1 ▴1.42
6364
1 ▴1.42
4.4/10
07:00 Finished 0700
RO F. Jianu
AT A. Wagner
2 0
▾1.08 ▴6.75
2 ▴6.75
3626
2 ▴6.75
3.5/10
07:00 Finished 0700
BE M. Van der
FR A. Fabre
2 0
▾1.33 ▴3.3
1 ▾1.33
6264
1 ▾1.33
3.9/10
07:00 Finished 0700
RO S. A. Andreescu
IT N. Toffanin
2 0
▾1.06 ▴8.2
1 ▾1.06
6163
1 ▾1.06
7.2/10
07:00 Finished 0700
RS V. Krstić
SE D. N. Madaras
0 2
▴3.75 ▾1.18
2 ▾1.18
266257
2 ▾1.18
5.4/10
09:00 Finished 0900
RS V. Rađenović
DE L. Mietusch
2 0
▴1.27 ▾3.8
1 ▴1.27
6263
1 ▴1.27
3.4/10
S2 S2
UA H. Shylov
PL A. Wazny
11 01
▴3 ▾1.34
2.0/10
M15 Fergana Hard ITF Men - M15 Fergana (Hard) 7
08:30 RET 0830
RU D. Bessonov
RU M. Krivoshchekov
0 0
▾1.17 ▴4.35
1 ▾1.17
6463
1 ▾1.17
2.2/10
08:30 Finished 0830
AU A. Arcon
KZ A. Omarkhanov
2 0
14 ▾1.02
2 ▾1.02
3646
2 ▾1.02
9.4/10
08:30 Finished 0830
IN A. Lakshmanan
DE D. Eichenseher
0 2
▴4.1 ▾1.2
2 ▾1.2
3667
2 ▾1.2
6.9/10
08:30 Finished 0830
IN C. Duhan
PK M. Murtaza
2 0
▾1.18 ▴4.6
1 ▾1.18
6375
1 ▾1.18
5.9/10
08:30 Finished 0830
IN D. P. Singh
CZ J. Hrazdil
2 0
▴1.14 ▾5.3
1 ▴1.14
6275
1 ▴1.14
3.8/10
S3 S3
RU A. Safonov
RU N. Ianin
01 10
▾1.55 ▴2.2
2.1/10
S1 S1
DE C. Mueller
IT E. Cherie
05 04
▴1.29 ▾3.25
7.5/10
M15 Hilton Head Island Clay ITF Men - M15 Hilton Head Island (Clay) 8
15:00 Upcoming 1500
US F. Corwin
FR C. Lemire
–
▴1.95 ▾1.76
5.2/10
15:00 Upcoming 1500
US G. Goode
CO J. Rodriguez
–
▴2.68 ▾1.42
6.6/10
15:00 Upcoming 1500
ES J. Alonso
US R. Cozad
–
▴1.45 ▾2.42
7.7/10
15:00 Upcoming 1500
US R. Colby
AR S. Giamichelle
–
▾1.41 ▴2.8
8.0/10
17:00 Upcoming 1700
US A. Watane
ES N. López
–
▾3.7 ▴1.21
1.5/10
17:00 Upcoming 1700
US H. Lieberman
RO D. N. Cazacu
–
▴2.95 ▾1.35
2.6/10
17:00 Upcoming 1700
BO R. Garcia
US M. Sheldon
–
▾1.58 ▴2.26
3.3/10
17:00 Upcoming 1700
US V. Gogineni
IT W. Mirarchi
–
▴1.23 ▾3.6
7.6/10
M15 Maanshan Hard ITF Men - M15 Maanshan (Hard) 7
02:00 Finished 0200
EE K. Tamm
PL F. Peliwo
2 0
▴1.86 ▾1.88
2 ▾1.88
676336
2 ▾1.88
5.8/10
02:00 Finished 0200
RU M. Zhukov
CN Y. Xia
2 0
1.12 5.3
1 1.12
266375
O20.5 2.15
6.3/10
04:00 Finished 0400
RU D. Sarksian
CN B. Zhang
2 1
▴1.41 ▾2.7
1 ▴1.41
6464
1 ▴1.41
4.9/10
05:30 Finished 0530
CN T. Rigele
CN Z. Zhao
2 0
▾1.17 4.75
1 ▾1.17
6163
1 ▾1.17
1.9/10
05:30 Finished 0530
CN X. Zhou
CN T. Zhang
0 2
5.4 1.12
2 1.12
3657
2 1.12
2.3/10
05:30 Finished 0530
CN X. Han
CN Q. Sun
2 1
▾3.4 ▴1.29
2 ▴1.29
466316
O18.5 ▾1.51
8.2/10
S3 S3
GB M. Hurrion
CN L. Zhao
12 11
▴1.29 ▾3.35
5.9/10
M15 Monastir Hard ITF Men - M15 Monastir (Hard) 7
08:30 RET 0830
FR M. Rivet
FR C. Bouchelaghem
0 1
▴2.93 ▾1.38
2 ▾1.38
3657
2 ▾1.38
3.0/10
08:30 Finished 0830
IT A. Bacaloni
ES J. Echeverria
0 2
▴5.4 ▾1.15
2 ▾1.15
4626
2 ▾1.15
4.0/10
08:30 Finished 0830
HR D. Ajduković
ZA K. Van Wyk
2 0
▾1.18 ▴4.4
1 ▾1.18
6263
1 ▾1.18
6.8/10
08:30 Finished 0830
IR K. Rahmani
TN A. Dougaz
0 2
▴3.45 ▾1.28
2 ▾1.28
3626
2 ▾1.28
8.1/10
08:30 Finished 0830
DZ T. Sahtali
IT G. Perego
2 1
▴2.7 ▾1.49
1 ▴2.7
6462
U21.5 1.7
4.5/10
S1 S1
ES A. Moro Canas
FR M. Malige
03 01
▴1.12 ▾5.6
10.0/10
S2 S2
TR T. Duran
DZ M. Makhlouf
02 13
▴1.08 ▾6.7
6.3/10
M15 Pembroke Hard ITF Men - M15 Pembroke (Hard) 7
14:00 Upcoming 1400
JM B. Bicknell
US K. Vakili
–
▾1.01 ▴11
5.9/10
14:00 Upcoming 1400
US D. Van
US M. Kuhar
–
▴4 ▾1.2
3.6/10
14:00 Upcoming 1400
BB K. Marshall
US N. Cox
–
▾4.1 ▴1.2
8.5/10
14:00 Upcoming 1400
US N. Schachter
US G. Voelzke
–
▴1.14 ▾4.9
2.7/10
16:00 Upcoming 1600
US A. Bernard
US J. Brumm
–
▴1.63 ▾2.28
7.4/10
16:00 Upcoming 1600
US J. Fradkin
US K. Chopra
–
▴5.8 1.08
5.0/10
16:00 Upcoming 1600
PL K. Szymkowiak
US C. Ngounoue
–
▾1.13 ▴5.2
7.1/10
M15 Salvador Hard ITF Men - M15 Salvador (Hard) 4
15:00 Upcoming 1500
AR G. Branchetti
CL B. Torrealba
–
▾1.89 ▴1.85
1.3/10
15:00 Upcoming 1500
BR J. V. Goncalves
BR V. Bini
–
▴1.26 ▾3.6
2.5/10
17:00 Upcoming 1700
BO A. E. C.
AR J. Cundom
–
▾1.91 ▴1.85
5.2/10
17:00 Upcoming 1700
ES O. J. Gutierrez
BR J. V. Scramin
–
▾1.01 11
7.3/10
M15 San Gregorio di Clay ITF Men - M15 San Gregorio di (Clay) 8
09:00 RET 0900
IT A. De Marchi
IT M. Serafini
1 0
▴1.48 ▾2.57
1 ▴1.48
644663
1 ▴1.48
5.9/10
09:00 Finished 0900
IT L. Rottoli
FR M. Bertimon
0 2
▾1.46 ▴2.58
1 ▾1.46
576261
1 ▾1.46
7.9/10
S2 S2
IT S. Massucco
DE A. Oetzbach
04 14
▾4 ▴1.23
1.2/10
S1 S1
IT D. Rapagnetta
IT M. Mecarelli
02 01
▾1.44 ▴2.63
5.6/10
11:48 Upcoming 1148
IT G. Ferrari
IT J. Berrettini
–
▴1.95 ▾1.78
1.9/10
13:00 Upcoming 1300
IT G. Crivellaro
IT P. Marino
–
▴1.72 ▾2.06
2.8/10
13:48 Upcoming 1348
CZ S. Baum
IT G. La Vela
–
▾2.55 1.54
5.4/10
15:00 Upcoming 1500
DE J. Sperle
IT A. Caruso
–
▾1.12 ▴5.3
4.4/10
M15 Sharm El Sheikh Hard ITF Men - M15 Sharm El Sheikh (Hard) 6
09:35 RET 0935
EG O. Kandil
GE S. Purtseladze
0 0
▾7.5 ▴1.06
2 ▴1.06
3646
2 ▴1.06
1.2/10
08:00 Finished 0800
EG A. Elsayed
RU A. Kukasian
0 2
▴1.29 ▾3.4
2 ▾3.4
645736
2 ▾3.4
1.2/10
08:00 Finished 0800
TR M. Anavatan
BE N. Ifi
0 2
2.15 1.66
2 1.66
5746
2 1.66
2.6/10
08:00 Finished 0800
GB O. Weightman
CH A. Burdet
2 1
▾1.22 ▴4.1
1 ▾1.22
6363
1 ▾1.22
1.3/10
09:31 Finished 0931
GE A. Bakshi
TR K. Yilmaz
2 0
▴2.65 ▾1.5
2 ▾1.5
3646
2 ▾1.5
5.5/10
S3 S3
LU L. Van Herck
BE P. Bailly
10 10
▾5.8 ▴1.11
2.9/10
M15 Trois - Rivières Hard ITF Men - M15 Trois - Rivières (Hard) 6
15:00 Upcoming 1500
US A. Tripathi
CA M. St-Hilaire
–
▾1.63 ▴2.12
4.4/10
15:00 Upcoming 1500
NO J. O. Lien
PT R. Fernandes
–
▾2.7 ▴1.38
1.0/10
17:00 Upcoming 1700
SE E. Nobel
CA M. Arseneault
–
▾3.45 ▴1.23
6.3/10
17:00 Upcoming 1700
US T. Dean
FR R. Gales
–
▴1.58 ▾2.22
7.9/10
19:30 Upcoming 1930
CA J. Peck
SE N. Slavić
–
▴3.25 ▾1.26
1.0/10
22:00 Upcoming 2200
DK O. B. Poulsen
FR T. Pires
–
▾1.41 ▴2.58
5.3/10
M25 Guadalajara Clay ITF Men - M25 Guadalajara (Clay) 4
00:30 Finished 0030
MX A. Rubio
US E. Strode
2 0
▴1.26 ▾4.3
1 ▴1.26
6362
1 ▴1.26
8.9/10
20:00 Upcoming 2000
CR J. Flores
MX R. Pacheco
–
▴12 1.02
8.6/10
20:00 Upcoming 2000
MX L. Alvarez
US M. McKennon
–
▾1.17 ▴4.4
8.0/10
21:30 Upcoming 2130
GB B. Baker
MX R. de Alba
–
▾1.16 ▴4.8
3.7/10
M25 Harlingen, TX Hard ITF Men - M25 Harlingen, TX (Hard) 7
16:00 Upcoming 1600
US B. Nakashima
TR T. Tokac
–
▾1.13 ▴6.5
5.7/10
16:00 Upcoming 1600
US J. Lee
US K. Hance
–
▾1.57 ▴2.34
8.9/10
16:00 Upcoming 1600
US N. Zamora
GB A. McHugh
–
▴2.8 ▾1.41
4.2/10
16:00 Upcoming 1600
PL T. Berkieta
SI B. Artnak
–
▾1.89 ▴1.85
6.1/10
18:00 Upcoming 1800
DE E. Schiessl
US K. Bigun
–
▾2.7 ▴1.41
1.3/10
18:00 Upcoming 1800
US H. Heck
SE K. Edengren
–
1.16 4.1
5.9/10
21:00 Upcoming 2100
US S. Banerjee
DE M. Wiskandt
–
▾1.49 ▴2.5
4.1/10
M25 Heraklion Hard ITF Men - M25 Heraklion (Hard) 8
08:30 Finished 0830
BA A. Nedić
SE K. Friberg
2 0
▴1.37 ▾2.85
1 ▴1.37
6364
1 ▴1.37
4.0/10
08:30 Finished 0830
CY M. Efstathiou
ES P. Pérez Ramos
2 1
▴2.01 ▾1.7
2 ▾1.7
676316
O20.5 1.72
8.0/10
08:30 Finished 0830
US M. Jones
UA O. Krutykh
2 1
▾3.6 ▴1.29
2 ▴1.29
4646
2 ▴1.29
1.1/10
08:45 Finished 0845
IE M. Wright
GR I. Xilas
0 2
▴10.5 1.03
2 1.03
622657
2 1.03
5.1/10
S3 S3
IT L. Angelini
FR A. Aubriot
13 04
▾1.38 ▴2.93
5.0/10
S2 S2
BE G. A. Bailly
FR B. Pietri
10 00
▴1.53 ▾2.55
8.6/10
S1 S1
RO R. Guna
FR R. Bertrand
00 00
▴5.15 ▾1.16
5.5/10
10:30 Upcoming 1030
US M. Reyniak
RO C. Cretu
–
▾9 ▴1.1
1.7/10
M25 Valencia Clay ITF Men - M25 Valencia (Clay) 7
13:00 Upcoming 1300
ES A. Barroso
ES A. Manzanera
–
▴2.58 ▾1.48
1.4/10
13:00 Upcoming 1300
ES I. Almazan
BG I. Radulov
–
▴1.67 ▾2.12
1.8/10
13:00 Upcoming 1300
SI L. Talan
ES M. Damas
–
▾3 ▴1.34
2.2/10
15:00 Upcoming 1500
AR J. C. Porras
RU I. Gakhov
–
▴2.65 ▾1.41
1.3/10
15:00 Upcoming 1500
BG L. Sheyngezikht
ES S. Perez Contri
–
▴5.3 ▾1.12
6.4/10
15:00 Upcoming 1500
IT S. Pieri
PL M. Zielinski
–
▴1.32 ▾3.3
6.5/10
15:00 Upcoming 1500
RU S. Gulin
ES E. Carrascosa
–
▾1.04 ▴7.4
6.6/10
W100 Incheon Hard ITF Women - W100 Incheon (Hard) 8
02:30 Finished 0230
GB K. Swan
JP R. Saigo
2 0
▾1.09 ▴9.5
1 ▾1.09
6263
2:0 ▾1.1
10.0/10
02:30 Finished 0230
CN X. Gao
ID P. Nugroho
0 2
1.51 2.6
1 1.51
624675
1 1.51
3.5/10
03:00 Finished 0300
KR Y. Kim
TR B. Cengiz
0 2
▾5.2 ▴1.13
2 ▴1.13
3646
2 ▴1.13
4.3/10
03:30 Finished 0330
CN H. Shi
CN H. Yujia
2 0
▾1.29 ▴3.6
1 ▾1.29
6475
1 ▾1.29
2.8/10
04:00 Finished 0400
CN X. Yao
CN X. You
2 1
▴1.97 ▾1.82
2 ▾1.82
3646
O19.5 ▾1.59
3.9/10
04:30 Finished 0430
CN J. Lu
KR Y. Ku
0 2
▴3.1 ▾1.33
2 ▾1.33
2636
2 ▾1.33
6.8/10
04:30 Finished 0430
CN J. Wang
KR B. Jeong
2 1
▾1.54 ▴2.34
1 ▾1.54
6263
U21.5 ▴1.67
5.4/10
04:30 Finished 0430
CN Z. Bai
JP S. Saito
1 2
▴1.47 ▾2.48
1 ▴1.47
613675
O19.5 ▾1.62
8.4/10
W15 Antalya Clay ITF Women - W15 Antalya (Clay) 6
07:00 Finished 0700
TR A. Kumru
RU A. Lepskaya
2 0
▴1.41 ▾3
2 ▾3
3626
2 ▾3
3.0/10
07:00 Finished 0700
LV D. Feldmane
RU V. Yushchenko
0 2
8.6 1.01
2 1.01
2636
2 1.01
8.6/10
07:00 Finished 0700
RO D. Simionescu
IT I. Pistola
2 1
▾2.02 1.71
2 1.71
576236
O20.5 1.8
6.7/10
07:00 Finished 0700
RS J. Bojovic
RO A. Breaz
2 1
3.25 1.35
2 1.35
466226
2 1.35
8.8/10
07:00 Finished 0700
RU K. Laskutova
BG J. Stamatova
2 0
▴1.26 ▾3.25
2 ▾3.25
3636
2 ▾3.25
1.3/10
07:00 Finished 0700
TR S. Atay
AT T. Stabauer
2 1
1.85 1.92
2 1.92
752606
O19.5 1.6
6.2/10
W15 Hilton Head Island Clay ITF Women - W15 Hilton Head Island (Clay) 5
15:00 Upcoming 1500
UA A. Sahdiieva
US J. Singeorzan
–
▾1.18 ▴5.1
5.2/10
15:00 Upcoming 1500
US M. Sohns
US A. Lahey
–
9.2 ▾1.02
9.6/10
17:00 Upcoming 1700
MA A. El Aouni
US C. Narti
–
▾1.4 2.8
4.6/10
17:00 Upcoming 1700
US L. Chang
BG D. Evtimova
–
▾1.02 ▴7
2.8/10
17:00 Upcoming 1700
US Y. Saffar
US E. Combs
–
▴3.7 ▾1.29
4.1/10
W15 Maanshan Hard ITF Women - W15 Maanshan (Hard) 8
02:00 Finished 0200
CN J. Wang
CN Z. Jiang
2 0
▴1.23 4
1 ▴1.23
066275
1 ▴1.23
5.4/10
02:00 Finished 0200
JP S. Yoshida
CN Y. Wang
0 2
▴4.9 ▾1.14
2 ▾1.14
3616
2 ▾1.14
10.0/10
04:00 Finished 0400
CN A. Yang
TH T. Naklo
2 1
6 1.12
2 1.12
2636
2 1.12
6.0/10
04:00 Finished 0400
JP I. Yamazaki
CN W. Yu
2 0
▴1.36 ▾2.92
1 ▴1.36
6264
1 ▴1.36
2.9/10
04:00 Finished 0400
CN R. Wu
RU A. Tikhonova
0 2
▴4.8 ▾1.14
2 ▾1.14
166257
O18.5 ▴1.8
4.9/10
04:00 Finished 0400
CN Y. Sun
RU M. Shikhanova
2 1
1.34 3.1
1 1.34
6362
1 1.34
6.2/10
04:00 Finished 0400
CN Y. Shao
CN Y. Qu
2 0
▴2.17 ▾1.87
1 ▴2.17
612664
O19.5 ▾1.6
6.6/10
05:30 Finished 0530
RU M. Kalyakina
CN J. Xu
2 1
1.39 3.25
1 1.39
633663
O19.5 1.65
6.7/10
W15 Monastir Hard ITF Women - W15 Monastir (Hard) 5
08:30 Finished 0830
RU A. Lizunova
IT S. Paris
2 0
▾1.03 ▴11
1 ▾1.03
6361
1 ▾1.03
4.0/10
08:30 Finished 0830
MX L. I. Fernandez
FR A. Cirotte
0 2
▴3.65 ▾1.28
2 ▾1.28
3626
U20.5 ▴1.69
4.6/10
S3 S3
FR D. Gaillard
UA M. Lazarenko
00 10
▴8.2 ▾1.08
4.4/10
S2 S2
US M. Horvit
SI E. Milić
13 02
1.33 3.2
3.9/10
S2 S2
CZ S. Ehrenbergerova
FR N. Dho
11 00
▾1.97 ▴1.76
6.3/10
W15 Neuquén Clay ITF Women - W15 Neuquén (Clay) 6
13:00 Upcoming 1300
AR B. Bonardi
AR S. Larraya
–
▴2.42 ▾1.54
3.2/10
13:00 Upcoming 1300
AR F. Moron
EC C. Romero
–
▴12.5 ▾1.01
10.0/10
13:00 Upcoming 1300
AR V. Bosio
AR S. Meabe
–
▴1.24 ▾3.9
5.6/10
15:00 Upcoming 1500
CL A. Vergara
PY Z. Doldan
–
▾1.04 ▴7.4
1.9/10
15:00 Upcoming 1500
AR L. Moyano
RU A. Danilova
–
▾1.02 ▴10
6.8/10
15:00 Upcoming 1500
GB M. Boyden
CL F. Labraña
–
12.5 1.01
6.1/10
W15 Sharm El Sheikh Hard ITF Women - W15 Sharm El Sheikh (Hard) 5
08:00 Finished 0800
LT I. Dapkutė
DE A. Wildgruber
2 0
▾1.47 ▴2.8
1 ▾1.47
625764
O21.5 ▾2
6.3/10
08:00 Finished 0800
EG Y. Ezzat
TW M. Tzeng
2 0
▾1.41 ▴2.72
1 ▾1.41
576261
O19.5 ▴1.69
4.5/10
S2 S2
CN Y. Shan
TR I. Kurt
01 12
▴7.1 ▾1.07
5.6/10
S2 S2
RU A. Snigireva
EE C. Plakk
10 01
▾1.1 ▴5.35
5.7/10
S1 S1
EG H. Abouelsaad
RU A. Efremova
00 01
▾1.58 ▴2.19
4.7/10
W15 Szabolcsveresmart Hard ITF Women - W15 Szabolcsveresmart (Hard) 5
10:30 RET 1030
SK K. Kužmová
HU M. Biró
0 0
▾1.09 ▴6.5
1 ▾1.09
6262
1 ▾1.09
8.3/10
09:00 Finished 0900
HU K. Molnar
HU A. K. Toth
2 0
▾5.3 1.12
2 1.12
1636
2 1.12
4.6/10
09:00 Finished 0900
HU V. Varga
DE A. Ceuca
0 2
▴3.45 ▾1.35
2 ▾1.35
4646
2 ▾1.35
2.6/10
S2 S2
FR M. Ciocan
BE A. Biot
02 13
▾1.4 ▴2.93
6.5/10
12:00 Upcoming 1200
NO M. Burylo
BE R. Longueville
–
▴4.35 ▾1.2
6.7/10
W35 Hamamatsu ITF Women - W35 Hamamatsu 7
02:00 Finished 0200
JP A. Shimizu
JP H. Arakawa
2 0
▾1.23 ▴4.6
1 ▾1.23
6163
1 ▾1.23
5.5/10
02:00 Finished 0200
JP K. Hayasaka
JP Y. Kitahara
2 1
▾1.45 ▴2.85
1 ▾1.45
6364
U22.5 1.56
4.2/10
02:00 Finished 0200
SE T. T. Deng
JP N. Katsumi
2 0
▾1.2 ▴4.15
1 ▾1.2
6263
1 ▾1.2
4.6/10
03:32 Finished 0332
TW C. Y. Tsao
JP K. Yoshioka
2 0
▴1.85 ▾1.88
2 ▾1.88
4636
U22.5 1.6
4.3/10
04:00 Finished 0400
JP F. Kozaki
JP M. Mushika
0 2
▾2.01 ▴1.79
1 ▾2.01
6263
U22.5 1.57
6.5/10
04:00 Finished 0400
JP S. Tsujioka
JP S. Nishimoto
2 1
▾1.21 ▴3.9
1 ▾1.21
753661
1 ▾1.21
3.4/10
04:57 Finished 0457
JP K. Sawashiro
JP S. Noguchi
2 0
▾1.83 ▴1.92
2 ▴1.92
2636
U22.5 1.57
6.5/10
W35 Liberec Hard ITF Women - W35 Liberec (Hard) 8
09:00 Finished 0900
CZ T. Krejčova
HR L. Bošković
1 2
▾5 ▴1.14
2 ▴1.14
1626
2 ▴1.14
8.5/10
S3 S3
CZ A. Kovačková
CZ L. Munzarova
10 14
1.05 ▾9
3.5/10
S1 S1
HR I. Primorac
DE J. Stusek
00 01
▾1.98 ▴1.85
6.3/10
10:00 Upcoming 1000
CZ D. Zoldakova
IT F. Urgesi
–
▴2.25 ▾1.58
3.1/10
11:30 Upcoming 1130
IT L. Mair
RS E. Milovanović
–
▾2.42 ▴1.52
2.5/10
11:30 Upcoming 1130
PL O. Gniewkowska
SI P. Lovrič
–
5.6 ▾1.14
7.9/10
13:00 Upcoming 1300
FR M. Leonard
PL W. Ewald
–
▾1.52 ▴2.5
3.7/10
13:00 Upcoming 1300
CH V. Ryser
DE J. Daems
–
▾1.34 ▴3.05
6.3/10
W35 Orlando, FL Clay ITF Women - W35 Orlando, FL (Clay) 8
15:00 Upcoming 1500
BY E. Laskevich
US A. Schuman
–
▴1.26 ▾3.55
5.6/10
15:00 Upcoming 1500
US V. Wolff
RU E. Mamedova
–
▴1.59 ▾2.3
2.6/10
15:00 Upcoming 1500
FR Y. Bartashevich
US D. Ivanova
–
▴1.29 ▾3.1
4.6/10
16:30 Upcoming 1630
EG J. Hossam Salah
RO B. Szabo
–
▴1.5 ▾2.5
6.0/10
16:30 Upcoming 1630
US J. Preston
GB B. A. Black
–
1.29 3.2
1.5/10
16:30 Upcoming 1630
RO L. Tanasie
US W. Osuigwe
–
▾4.75 ▴1.12
4.1/10
18:00 Upcoming 1800
NZ A. Das
US A. Bowers
–
▴2.1 ▾1.75
5.3/10
18:00 Upcoming 1800
US S. Stephens
US L. Perry
–
▴1.05 ▾7.5
8.2/10
W50 Heraklion Clay ITF Women - W50 Heraklion (Clay) 8
S2 S2
IT D. Chiesa
CZ A. Oktiabreva
00 14
▴5 ▾1.16
1.7/10
S1 S1
IT J. Ruggeri
CZ E. Tichackova
05 05
▾1.44 ▴2.8
5.5/10
S1 S1
DE J. Steur
FR L. Nguyen Tan
02 03
▴1.2 ▾4.1
3.2/10
11:00 Upcoming 1100
RU M. Golovina
SE C. W. Hennemann
–
3.3 1.29
1.9/10
12:15 Upcoming 1215
ES A. Fita Boluda
NL L. Ebeling
–
▾2.19 ▴1.58
2.5/10
12:15 Upcoming 1215
ES C. Martinez
IT N. Brancaccio
–
▴4.6 ▾1.16
9.4/10
12:15 Upcoming 1215
IT M. Paoletti
GR M. Matoula
–
▾1.5 ▴2.42
5.4/10
12:15 Upcoming 1215
CY R. Serban
RO E. R. Bertea
–
1.73 2.01
6.8/10
W50 Huamantla Hard ITF Women - W50 Huamantla (Hard) 7
16:30 Upcoming 1630
RU A. Tikhonova
UA V. Strakhova
–
▾1.35 ▴3.1
5.1/10
16:30 Upcoming 1630
US J. Chan
CA C. Brace
–
3.05 1.33
3.3/10
16:30 Upcoming 1630
GB S. Johnson
MX J. Hinojosa
–
▾1.11 ▴6.1
10.0/10
18:30 Upcoming 1830
MX I. Millan
US M. Rapolu
–
▴12 1.01
10.0/10
18:30 Upcoming 1830
MX V. Rodriguez
RU M. Sholokhova
–
▴3.2 ▾1.3
10.0/10
18:30 Upcoming 1830
PL Z. Pawlikowska
US M. Malkin
–
▾1.1 ▴8.4
5.7/10
20:30 Upcoming 2030
TR I. Oz
IT D. Cherubini
–
▾1.25 ▴3.55
6.6/10
W75 Petange Hard ITF Women - W75 Petange (Hard) 8
S1 S1
FR J. Ponchet
UA V. Podrez
03 02
▴2.68 ▾1.44
5.5/10
S2 S2
SE L. Zaar
SE L. Nilsson
10 01
▾1.83 ▴1.9
3.1/10
12:30 Upcoming 1230
DE M. Hodžić
RS L. Radivojević
–
▾2.8 ▴1.38
1.2/10
12:30 Upcoming 1230
DE T. Brockmann
DE A. Friedsam
–
▾2.16 ▴1.69
2.2/10
14:30 Upcoming 1430
HU D. Galfi
FR A. Hesse
–
▴1.21 ▾3.7
2.8/10
16:30 Upcoming 1630
IT L. Pigato
BE G. Minnen
–
▴2.75 ▾1.4
2.4/10
17:00 Upcoming 1700
NL I. Van Den
CZ A. Siskova
–
▴3.7 ▾1.23
10.0/10
18:30 Upcoming 1830
FR O. Dodin
US F. Crawley
–
▾2.05 ▴1.82
6.1/10

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, 44,157 predictions have been settled here, about 125 on an average day, and 67.1% 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 24,382 66.9%
Clay 18,454 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.

Membership options

Choose a plan

Nothing is held back on any plan — every tennis prediction, every stat, every tool is included. We value your trust: cancel anytime, in seconds, if we fall short of your expectations.

Basic
1 Month
16.99$/ month
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  • TechnologyNT Apex
  • Bankers Win Rate81%
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12.69$/ month
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  • TechnologyNT Apex
  • Bankers Win Rate81%
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Premium
6 Months
10.19$/ month
Save $41
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  • TechnologyNT Apex
  • Bankers Win Rate81%
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Everything you should know

Frequently asked questions

support@tennispredictions.ai

Tennis predictions: the basics

What does TennisPredictions.ai do?

+

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?

+

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?

+

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.