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Saturday, October 24

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.

81% Bankers win rate From 2,486 graded picks
113 Matches predicted today ATP, WTA, Challenger, ITF
5/7 Free picks won yesterday graded on the final score
81%

Bankers win rate

From 2,486 graded picks

113 Matches predicted today

All Matches

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Today's free picks

8
H. Sato vs M. Mushika, ITF Women - W35 Sydney, 00:00, Finished. Match winner odds: 1.48 for H. Sato, 2.5 for M. Mushika. AI winner pick: M. Mushika, odds 2.5, confidence 1.4 out of 10. This tip lost. Predicted score: 2-6, 7-5, 3-6. Best AI tip: O20.5, odds 1.83, confidence 7.6 out of 10. This tip lost.
00:00 Finished 0000
JP H. Sato
JP M. Mushika
2 0
▴1.48 ▾2.5
2 ▾2.5
267536
O20.5 ▾1.83
7.6/10
V. Chaudhari vs I. Wan, ITF Women - W35 Sydney, 00:00, Finished. Match winner odds: 2.08 for V. Chaudhari, 1.75 for I. Wan. AI winner pick: I. Wan, odds 1.75, confidence 2.4 out of 10. This tip won. Predicted score: 6-2, 2-6, 5-7. Best AI tip: O19.5, odds 1.58, confidence 8.5 out of 10. This tip lost.
00:00 Finished 0000
IN V. Chaudhari
TW I. Wan
0 2
▴2.08 ▾1.75
2 ▾1.75
622657
O19.5 ▾1.58
8.5/10
L. Staeheli vs B. Butulija, ITF Men - M15 Shenzhen, 03:00, Retired. Match winner odds: 1.03 for L. Staeheli, 8.8 for B. Butulija. AI winner pick: L. Staeheli, odds 1.03, confidence 8.9 out of 10. This tip won. Predicted score: 6-2, 6-2. Best AI tip: L. Staeheli, odds 1.03, confidence 8.9 out of 10.
03:00 RET 0300
CH L. Staeheli
RS B. Butulija
1 0
▾1.03 ▴8.8
1 ▾1.03
6262
1 ▾1.03
8.9/10
X. Yao vs R. Zolotareva, ITF Women - W35 Qian Daohu, 04:00, Finished. Match winner odds: 1.75 for X. Yao, 1.98 for R. Zolotareva. AI winner pick: X. Yao, odds 1.75, confidence 1.9 out of 10. This tip won. Predicted score: 7-5, 3-6, 6-1. Best AI tip: O19.5, odds 1.59, confidence 7.5 out of 10. This tip won.
04:00 Finished 0400
CN X. Yao
RU R. Zolotareva
2 0
▾1.75 ▴1.98
1 ▾1.75
753661
O19.5 ▾1.59
7.5/10
A. Li vs A. Krueger, WTA - Osaka, Japan, 05:00, Finished. Match winner odds: 1.59 for A. Li, 2.65 for A. Krueger. AI winner pick: A. Krueger, odds 2.65, confidence 1.0 out of 10. This tip won. Predicted score: 3-6, 4-6. Best AI tip: U28.5, odds 1.25, confidence 4.1 out of 10. This tip lost.
05:00 Finished 0500
US A. Li (1)
US A. Krueger
1 2
▾1.59 ▴2.65
2 ▴2.65
3646
U28.5 ▾1.25
4.1/10
T. Schoolkate vs J. Cui, Challenger - Guangzhou Nansha, China, 05:40, Finished. Match winner odds: 1.57 for T. Schoolkate, 2.6 for J. Cui. AI winner pick: J. Cui, odds 2.6, confidence 1.0 out of 10. This tip lost. Predicted score: 6-3, 3-6, 4-6. Best AI tip: O19.5, odds 1.29, confidence 2.6 out of 10. This tip won.
05:40 Finished 0540
AU T. Schoolkate (3)
CN J. Cui (WC)
2 1
▾1.57 ▴2.6
2 ▴2.6
633646
O19.5 ▴1.29
2.6/10
L. Fernandez vs M. Bouzkova, WTA - Ningbo, China, 08:30, Live. Match winner odds: 1.97 for L. Fernandez, 1.84 for M. Bouzkova. AI winner pick: M. Bouzkova, odds 1.84, confidence 2.6 out of 10. Predicted score: 4-6, 3-6. Best AI tip: U27.5, odds 1.31, confidence 3.0 out of 10.
S1 S1
CA L. Fernandez
CZ M. Bouzkova
01 00
▾1.97 ▴1.84
2 ▴1.84
4636
U27.5 1.31
3.0/10
N. Basilashvili vs S. Tsitsipas, ATP - Almaty, Kazakhstan, 11:00, Upcoming. Match winner odds: 3.1 for N. Basilashvili, 1.38 for S. Tsitsipas. AI winner pick: S. Tsitsipas, odds 1.38, confidence 3.9 out of 10. Predicted score: 4-6, 6-3, 3-6. Best AI tip: S. Tsitsipas, odds 1.38, confidence 3.9 out of 10.
11:00 Upcoming 1100
GE N. Basilashvili (Q)
GR S. Tsitsipas (7)
–
▴3.1 ▾1.38
2 ▾1.38
466336
2 ▾1.38
3.9/10

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Basel, Switzerland Hard ATP - Basel, Switzerland (Hard) 7
M. Giron vs Y. Hanfmann, ATP - Basel, Switzerland, Qualifying, 10:00, Upcoming. Match winner odds: 2.28 for M. Giron, 1.62 for Y. Hanfmann. AI confidence for this match: 3.2 out of 10. Please create an account in order to see the predictions.
10:00 Upcoming 1000
US M. Giron
DE Y. Hanfmann
–
▾2.28 ▴1.62
3.2/10
M. Kecmanović vs R. Hijikata, ATP - Basel, Switzerland, Qualifying, 10:00, Upcoming. Match winner odds: 1.6 for M. Kecmanović, 2.28 for R. Hijikata. AI confidence for this match: 1.9 out of 10. Please create an account in order to see the predictions.
10:00 Upcoming 1000
RS M. Kecmanović
AU R. Hijikata
–
▾1.6 ▴2.28
1.9/10
J. Faria vs M. Brunold, ATP - Basel, Switzerland, Qualifying, 11:10, Upcoming. Match winner odds: 1.7 for J. Faria, 2.18 for M. Brunold. AI confidence for this match: 1.0 out of 10. Please create an account in order to see the predictions.
11:10 Upcoming 1110
PT J. Faria
CH M. Brunold
–
▴1.7 ▾2.18
1.0/10
J. Cerundolo vs Z. Svajda, ATP - Basel, Switzerland, Qualifying, 11:10, Upcoming. Match winner odds: 2.23 for J. Cerundolo, 1.65 for Z. Svajda. AI confidence for this match: 1.0 out of 10. Please create an account in order to see the predictions.
11:10 Upcoming 1110
AR J. Cerundolo
US Z. Svajda
–
▾2.23 ▴1.65
1.0/10
S. Báez vs G. Mpetshi, ATP - Basel, Switzerland, Qualifying, 12:20, Upcoming. Match winner odds: 1.95 for S. Báez, 1.82 for G. Mpetshi. AI confidence for this match: 4.0 out of 10. Please create an account in order to see the predictions.
12:20 Upcoming 1220
AR S. Báez
FR G. Mpetshi
–
▴1.95 ▾1.82
4.0/10
A. Kovačević vs J. Duckworth, ATP - Basel, Switzerland, Qualifying, 13:30, Upcoming. Match winner odds: 1.62 for A. Kovačević, 2.23 for J. Duckworth. AI confidence for this match: 1.0 out of 10. Please create an account in order to see the predictions.
13:30 Upcoming 1330
US A. Kovačević
AU J. Duckworth
–
▾1.62 ▴2.23
1.0/10
H. Bernet vs D. Altmaier, ATP - Basel, Switzerland, Qualifying, 13:30, Upcoming. Match winner odds: 2.23 for H. Bernet, 1.65 for D. Altmaier. AI confidence for this match: 4.4 out of 10. Please create an account in order to see the predictions.
13:30 Upcoming 1330
CH H. Bernet
DE D. Altmaier
–
▾2.23 ▴1.65
4.4/10
Vienna, Austria, Qualifying Hard ATP - Vienna, Austria, Qualifying (Hard) 8
J. Fearnley vs P. Carreño, ATP - Vienna, Austria, Qualifying, 10:00, Upcoming. Match winner odds: 1.57 for J. Fearnley, 2.33 for P. Carreño. AI confidence for this match: 3.0 out of 10. Please create an account in order to see the predictions.
10:00 Upcoming 1000
GB J. Fearnley
ES P. Carreño
–
1.57 ▴2.33
3.0/10
V. Kopřiva vs L. Neumayer, ATP - Vienna, Austria, Qualifying, 10:30, Upcoming. Match winner odds: 1.77 for V. Kopřiva, 2 for L. Neumayer. AI confidence for this match: 8.9 out of 10. Please create an account in order to see the predictions.
10:30 Upcoming 1030
CZ V. Kopřiva
AT L. Neumayer
–
▴1.77 ▾2
8.9/10
A. Vallejo vs L. Sonego, ATP - Vienna, Austria, Qualifying, 11:10, Upcoming. Match winner odds: 1.95 for A. Vallejo, 1.88 for L. Sonego. AI confidence for this match: 6.0 out of 10. Please create an account in order to see the predictions.
11:10 Upcoming 1110
PY A. Vallejo
IT L. Sonego
–
▴1.95 ▾1.88
6.0/10
J. Schwaerzler vs T. Droguet, ATP - Vienna, Austria, Qualifying, 11:40, Upcoming. Match winner odds: 3.45 for J. Schwaerzler, 1.36 for T. Droguet. AI confidence for this match: 7.7 out of 10. Please create an account in order to see the predictions.
11:40 Upcoming 1140
AT J. Schwaerzler
FR T. Droguet
–
▴3.45 ▾1.36
7.7/10
A. Molčan vs H. Medjedović, ATP - Vienna, Austria, Qualifying, 12:20, Upcoming. Match winner odds: 2.22 for A. Molčan, 1.66 for H. Medjedović. AI confidence for this match: 2.8 out of 10. Please create an account in order to see the predictions.
12:20 Upcoming 1220
SK A. Molčan
RS H. Medjedović
–
▴2.22 ▾1.66
2.8/10
F. Marozsán vs S. Sorger, ATP - Vienna, Austria, Qualifying, 12:50, Upcoming. Match winner odds: 1.14 for F. Marozsán, 5.75 for S. Sorger. AI confidence for this match: 4.2 out of 10. Please create an account in order to see the predictions.
12:50 Upcoming 1250
HU F. Marozsán
AT S. Sorger
–
▴1.14 ▾5.75
4.2/10
C. Moutet vs T. Machač, ATP - Vienna, Austria, Qualifying, 15:00, Upcoming. Match winner odds: 2.18 for C. Moutet, 1.65 for T. Machač. AI confidence for this match: 2.5 out of 10. Please create an account in order to see the predictions.
15:00 Upcoming 1500
FR C. Moutet
CZ T. Machač
–
2.18 ▴1.65
2.5/10
T. Tirante vs A. Mannarino, ATP - Vienna, Austria, Qualifying, 17:00, Upcoming. Match winner odds: 1.75 for T. Tirante, 2.12 for A. Mannarino. AI confidence for this match: 3.3 out of 10. Please create an account in order to see the predictions.
17:00 Upcoming 1700
AR T. Tirante
FR A. Mannarino
–
▾1.75 ▴2.12
3.3/10
Guangzhou, China, Qualifying Hard WTA - Guangzhou, China, Qualifying (Hard) 11
P. Iatcenko vs A. Shubladze, WTA - Guangzhou, China, Qualifying, 04:00, Finished. Match winner odds: 2.77 for P. Iatcenko, 1.45 for A. Shubladze. AI winner pick: A. Shubladze, odds 1.45, confidence 3.0 out of 10. This tip lost. Predicted score: 3-6, 4-6. Best AI tip: A. Shubladze, odds 1.45, confidence 3.0 out of 10. This tip lost.
04:00 Finished 0400
RU P. Iatcenko
RU A. Shubladze
2 1
▴2.77 ▾1.45
2 ▾1.45
3646
2 ▾1.45
3.0/10
E. Pridankina vs T. Grant, WTA - Guangzhou, China, Qualifying, 06:25, Finished. Match winner odds: 1.78 for E. Pridankina, 2.02 for T. Grant. AI winner pick: E. Pridankina, odds 1.78, confidence 5.7 out of 10. This tip won. Predicted score: 6-4, 6-3. Best AI tip: E. Pridankina, odds 1.78, confidence 5.7 out of 10. This tip won.
06:25 Finished 0625
RU E. Pridankina
IT T. Grant
2 0
▾1.78 ▴2.02
1 ▾1.78
6463
1 ▾1.78
5.7/10
J. Vandromme vs C. Lee, WTA - Guangzhou, China, Qualifying, 06:50, Live. Match winner odds: 1.65 for J. Vandromme, 2.25 for C. Lee. AI confidence for this match: 2.7 out of 10. Please create an account in order to see the predictions.
S2 S2
BE J. Vandromme
US C. Lee
16 06
▴1.65 ▾2.25
2.7/10
T. Prozorova vs E. Gorgodze, WTA - Guangzhou, China, Qualifying, 08:05, Live. Match winner odds: 1.18 for T. Prozorova, 4.2 for E. Gorgodze. AI confidence for this match: 5.9 out of 10. Please create an account in order to see the predictions.
S1 S1
RU T. Prozorova
GE E. Gorgodze
04 03
▴1.18 ▾4.2
5.9/10
H. Wong vs E. Jones, WTA - Guangzhou, China, Qualifying, 08:50, Upcoming. Match winner odds: 8 for H. Wong, 1.06 for E. Jones. AI confidence for this match: 4.2 out of 10. Please create an account in order to see the predictions.
08:50 Upcoming 0850
HK H. Wong
AU E. Jones
–
▴8 ▾1.06
4.2/10
J. Garland vs M. Inglis, WTA - Guangzhou, China, Qualifying, 09:15, Upcoming. Match winner odds: 2.08 for J. Garland, 1.79 for M. Inglis. AI confidence for this match: 1.0 out of 10. Please create an account in order to see the predictions.
09:15 Upcoming 0915
TW J. Garland
AU M. Inglis
–
▾2.08 ▴1.79
1.0/10
H. Dart vs C. Y. Shek, WTA - Guangzhou, China, Qualifying, 10:00, Upcoming. Match winner odds: 1.05 for H. Dart, 11 for C. Y. Shek. AI confidence for this match: 8.0 out of 10. Please create an account in order to see the predictions.
10:00 Upcoming 1000
GB H. Dart
HK C. Y. Shek
–
▾1.05 ▴11
8.0/10
L. Fruhvirtová vs M. Yamaguchi, WTA - Guangzhou, China, Qualifying, 10:25, Upcoming. Match winner odds: 1.26 for L. Fruhvirtová, 3.8 for M. Yamaguchi. AI confidence for this match: 5.4 out of 10. Please create an account in order to see the predictions.
10:25 Upcoming 1025
CZ L. Fruhvirtová
JP M. Yamaguchi
–
▾1.26 3.8
5.4/10
D. Yastremska vs X. You, WTA - Guangzhou, China, Qualifying, 10:30, Upcoming. Match winner odds: 1.15 for D. Yastremska, 5.1 for X. You. AI confidence for this match: 2.3 out of 10. Please create an account in order to see the predictions.
10:30 Upcoming 1030
UA D. Yastremska
CN X. You
–
▴1.15 5.1
2.3/10
Y. Qu vs T. Kostović, WTA - Guangzhou, China, Qualifying, 11:10, Upcoming. Match winner odds: 5.5 for Y. Qu, 1.13 for T. Kostović. AI confidence for this match: 4.3 out of 10. Please create an account in order to see the predictions.
11:10 Upcoming 1110
CN Y. Qu
RS T. Kostović
–
▾5.5 ▴1.13
4.3/10
A. Zakharova vs R. Zhang, WTA - Guangzhou, China, Qualifying, 11:40, Upcoming. Match winner odds: 1.06 for A. Zakharova, 8 for R. Zhang. AI confidence for this match: 8.1 out of 10. Please create an account in order to see the predictions.
11:40 Upcoming 1140
RU A. Zakharova
CN R. Zhang
–
▾1.06 ▴8
8.1/10
Tokyo, Japan, Qualifying Hard WTA - Tokyo, Japan, Qualifying (Hard) 11
S. Tsujioka vs K. Rakhimova, WTA - Tokyo, Japan, Qualifying, 02:30, Finished. Match winner odds: 25 for S. Tsujioka, 1.01 for K. Rakhimova. AI winner pick: K. Rakhimova, odds 1.01, confidence 8.0 out of 10. This tip won. Predicted score: 4-6, 6-4, 6-7. Best AI tip: K. Rakhimova, odds 1.01, confidence 8.0 out of 10. This tip won.
02:30 Finished 0230
JP S. Tsujioka
UZ K. Rakhimova
0 2
▴25 ▾1.01
2 ▾1.01
466467
2 ▾1.01
8.0/10
Y. Starodubtseva vs A. Sasnovich, WTA - Tokyo, Japan, Qualifying, 02:30, Finished. Match winner odds: 2.2 for Y. Starodubtseva, 1.64 for A. Sasnovich. AI winner pick: A. Sasnovich, odds 1.64, confidence 4.6 out of 10. This tip won. Predicted score: 2-6, 4-6. Best AI tip: A. Sasnovich, odds 1.64, confidence 4.6 out of 10. This tip won.
02:30 Finished 0230
UA Y. Starodubtseva
BY A. Sasnovich
0 2
▾2.2 ▴1.64
2 ▴1.64
2646
2 ▴1.64
4.6/10
E. Shibahara vs A. Parks, WTA - Tokyo, Japan, Qualifying, 04:15, Finished. Match winner odds: 2.17 for E. Shibahara, 1.74 for A. Parks. AI winner pick: A. Parks, odds 1.74, confidence 6.1 out of 10. This tip won. Predicted score: 6-3, 5-7, 2-6. Best AI tip: O20.5, odds 1.68, confidence 8.1 out of 10. This tip won.
04:15 Finished 0415
JP E. Shibahara
US A. Parks
1 2
▴2.17 ▾1.74
2 ▾1.74
635726
O20.5 ▾1.68
8.1/10
L. Samsonova vs H. Watson, WTA - Tokyo, Japan, Qualifying, 04:55, Finished. Match winner odds: 1.12 for L. Samsonova, 6.5 for H. Watson. AI winner pick: L. Samsonova, odds 1.12, confidence 2.5 out of 10. This tip lost. Predicted score: 6-3, 2-6, 6-1. Best AI tip: L. Samsonova, odds 1.12, confidence 2.5 out of 10. This tip lost.
04:55 Finished 0455
RU L. Samsonova
GB H. Watson
1 2
▾1.12 ▴6.5
1 ▾1.12
632661
1 ▾1.12
2.5/10
O. Oliynykova vs M. Hontama, WTA - Tokyo, Japan, Qualifying, 06:55, Finished. Match winner odds: 1.88 for O. Oliynykova, 1.88 for M. Hontama. AI winner pick: M. Hontama, odds 1.88, confidence 2.6 out of 10. This tip won. Predicted score: 2-6, 6-3, 1-6. Best AI tip: O19.5, odds 1.53, confidence 3.8 out of 10. This tip lost.
06:55 Finished 0655
UA O. Oliynykova
JP M. Hontama
0 2
1.88 ▴1.88
2 ▴1.88
266316
O19.5 1.53
3.8/10
M. Joint vs V. Golubić, WTA - Tokyo, Japan, Qualifying, 07:05, Live. Match winner odds: 1.76 for M. Joint, 2.02 for V. Golubić. AI confidence for this match: 3.7 out of 10. Please create an account in order to see the predictions.
S1 S1
AU M. Joint
CH V. Golubić
06 06
▴1.76 ▾2.02
3.7/10
K. Birrell vs A. Ito, WTA - Tokyo, Japan, Qualifying, 08:20, Live. Match winner odds: 1.36 for K. Birrell, 3.05 for A. Ito. AI confidence for this match: 6.6 out of 10. Please create an account in order to see the predictions.
S1 S1
AU K. Birrell
JP A. Ito
00 02
▾1.36 ▴3.05
6.6/10
H. Kinoshita vs Y. Putintseva, WTA - Tokyo, Japan, Qualifying, 08:40, Upcoming. Match winner odds: 6.7 for H. Kinoshita, 1.1 for Y. Putintseva. AI confidence for this match: 7.9 out of 10. Please create an account in order to see the predictions.
08:40 Upcoming 0840
JP H. Kinoshita
KZ Y. Putintseva
–
▴6.7 ▾1.1
7.9/10
Y. Ma vs D. Kasatkina, WTA - Tokyo, Japan, Qualifying, 09:15, Upcoming. Match winner odds: 4.3 for Y. Ma, 1.21 for D. Kasatkina. AI confidence for this match: 4.9 out of 10. Please create an account in order to see the predictions.
09:15 Upcoming 0915
CN Y. Ma
AU D. Kasatkina
–
▾4.3 ▴1.21
4.9/10
K. Day vs S. Zhang, WTA - Tokyo, Japan, Qualifying, 10:25, Upcoming. Match winner odds: 1.95 for K. Day, 1.86 for S. Zhang. AI confidence for this match: 3.5 out of 10. Please create an account in order to see the predictions.
10:25 Upcoming 1025
US K. Day
CN S. Zhang
–
▴1.95 ▾1.86
3.5/10
E. Liang vs T. Valentová, WTA - Tokyo, Japan, Qualifying, 11:35, Upcoming. Match winner odds: 5.45 for E. Liang, 1.14 for T. Valentová. AI confidence for this match: 2.0 out of 10. Please create an account in order to see the predictions.
11:35 Upcoming 1135
TW E. Liang
CZ T. Valentová
–
▾5.45 ▴1.14
2.0/10
B. Ellis vs H. Hoeyeraal, ITF Men - M25 Tamworth, 00:00, Finished. Match winner odds: 1.54 for B. Ellis, 2.45 for H. Hoeyeraal. AI winner pick: H. Hoeyeraal, odds 2.45, confidence 1.4 out of 10. This tip lost. Predicted score: 6-1, 2-6, 5-7. Best AI tip: O20.5, odds 1.56, confidence 6.2 out of 10. This tip lost.
00:00 Finished 0000
AU B. Ellis
NO H. Hoeyeraal
2 0
▴1.54 ▾2.45
2 ▾2.45
612657
O20.5 1.56
6.2/10
M. Dellavedova vs S. Vujić, ITF Men - M25 Tamworth, 00:00, Finished. Match winner odds: 1.09 for M. Dellavedova, 5.8 for S. Vujić. AI winner pick: M. Dellavedova, odds 1.09, confidence 10.0 out of 10. This tip lost. Predicted score: 6-3, 6-2. Best AI tip: M. Dellavedova, odds 1.09, confidence 10.0 out of 10. This tip lost.
00:00 Finished 0000
AU M. Dellavedova
AU S. Vujić
0 2
▾1.09 ▴5.8
1 ▾1.09
6362
1 ▾1.09
10.0/10
I. Becroft vs C. Hoole, ITF Men - M25 Tamworth, 02:00, Finished. Match winner odds: 2.19 for I. Becroft, 1.63 for C. Hoole. AI winner pick: C. Hoole, odds 1.63, confidence 1.6 out of 10. This tip lost. Predicted score: 1-6, 6-3, 6-7. Best AI tip: O20.5, odds 1.68, confidence 7.0 out of 10. This tip won.
02:00 Finished 0200
NZ I. Becroft
AU C. Hoole
2 1
▴2.19 ▾1.63
2 ▾1.63
166367
O20.5 ▾1.68
7.0/10
S. Vujić vs B. Ellis, ITF Men - M25 Tamworth, 04:30, Finished. Match winner odds: 2.6 for S. Vujić, 1.44 for B. Ellis. AI winner pick: B. Ellis, odds 1.44, confidence 5.0 out of 10. This tip won. Predicted score: 2-6, 7-5, 5-7. Best AI tip: B. Ellis, odds 1.44, confidence 5.0 out of 10. This tip won.
04:30 Finished 0430
AU S. Vujić
AU B. Ellis
0 2
2.6 1.44
2 1.44
267557
2 1.44
5.0/10

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.

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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, 42,039 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 22,691 67%
Clay 18,027 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.