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Tennis Predictions

Tennis Predictions for Saturday 14 November

New forecasts every day across the professional calendar, from the ATP and WTA tours to Challengers and the ITF circuit. Once a match is over, its pick is graded against the result, and misses stay on the record alongside the wins.

Tennis tip of the day See the full record Updated 14 Nov, 01:51
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81%Tip of the Day hit rate
53Matches today
5/5Yesterday, graded

Most picks here are locked. Get Full Access to see every prediction.

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Your free picks Unlocked for everyone · 14 Nov 6
02:00 Upcoming 0200
JP R. Noguchi (8)
TW Y. Hsu
–
▾1.93 ▴1.87
1 ▾1.93
6464
O18.5 ▾1.3
2.8
02:00 Upcoming 0200
IT E. Cherie
US A. Visaya
–
▾1.5 ▴2.4
1 ▾1.5
166375
1 ▾1.5
6.1
02:00 Upcoming 0200
RU A. Tikhonova
TH T. Naklo
–
▾1.41 ▴2.93
1 ▾1.41
6462
U21.5 ▾1.6
4.3
02:00 Upcoming 0200
CN X. Luo
RU V. Savinykh
–
▾2.9 ▴1.39
2 ▴1.39
2646
2 ▴1.39
4.9
03:00 Upcoming 0300
US S. Gorzny
DK A. Holmgren
–
▾2.04 ▴1.86
1 ▾2.04
633664
O20.5 ▴1.39
1.0
04:00 Upcoming 0400
KR S. Shin
TR E. Kirkin
–
▾2.48 ▴1.54
1 ▾2.48
6375
O19.5 1.54
1.0
Stockholm, Sweden Hard ATP - Stockholm, Sweden (Hard) 1
12:00 Upcoming 1200
US T. Fritz (1)
AR T. Tirante
–
▾1.2 ▴5.55
6.3
Sopo, Colombia Clay WTA - Sopo, Colombia (Clay) 1
17:00 Upcoming 1700
CA B. Andreescu (3)
US E. Mandlik
–
1.16 5.6
4.9
Brisbane 3, Australia Hard Challenger - Brisbane 3, Australia (Hard) 2
03:00 Upcoming 0300
US S. Gorzny
DK A. Holmgren
–
▾2.04 ▴1.86
1 ▾2.04
633664
O20.5 ▴1.39
1.0
04:10 Upcoming 0410
CN J. Shang (8)
US C. Langmo (Q)
–
▾1.14 ▴5.8
3.7
Hersonissos 3, Greece Hard Challenger - Hersonissos 3, Greece (Hard) 2
08:00 Upcoming 0800
IT M. Ribecai
GB H. Searle (2)
–
▴2.36 ▾1.57
3.5
09:10 Upcoming 0910
IT F. Maestrelli (1)
ZA P. Henning (6)
–
1.77 2.04
4.3
Lima, Peru Clay Challenger - Lima, Peru (Clay) 1
S2 S2
AR G. Olivieri
BR J. Reis da
00 11
▴3.1 ▾1.5
2.5
Matsuyama, Japan Hard Challenger - Matsuyama, Japan (Hard) 2
02:00 Upcoming 0200
JP R. Sakamoto (1)
GB B. Harris
–
▾1.34 ▴3.4
9.7
02:00 Upcoming 0200
JP R. Noguchi (8)
TW Y. Hsu
–
▾1.93 ▴1.87
1 ▾1.93
6464
O18.5 ▾1.3
2.8
Monastir, Tunisia Hard Challenger - Monastir, Tunisia (Hard) 2
11:00 Upcoming 1100
CZ J. Forejtek
DE M. Möller (3)
–
▴1.47 ▾2.65
3.6
12:10 Upcoming 1210
ES P. Vives Marcos (Q)
CH K. Feldbausch (7)
–
▴2.33 ▾1.58
2.2
Orleans, France Hard Challenger - Orleans, France (Hard) 2
14:10 Upcoming 1410
US N. Basavareddy
DE D. Altmaier (2)
–
▾1.55 ▴2.45
4.5
15:20 Upcoming 1520
ES P. Martinez
FI O. Virtanen
–
▴4.2 ▾1.22
3.9
M15 Antalya Clay ITF Men - M15 Antalya (Clay) 1
07:00 Upcoming 0700
PL A. Wazny
RO S. A. Andreescu
–
▾1.68 ▴2.06
2.0
M15 Heraklion Hard ITF Men - M15 Heraklion (Hard) 2
08:00 Upcoming 0800
CH F. Thomas
HR J. Šimundža
–
▴1.85 ▾1.95
6.8
08:00 Upcoming 0800
RO R. Guna
ES I. Lopez
–
▾2.06 ▴1.67
7.3
M15 Hua Hin Hard ITF Men - M15 Hua Hin (Hard) 2
03:00 Upcoming 0300
KZ D. Yevseyev
HK T. Wong
–
▴1.03 13
3.4
04:00 Upcoming 0400
KR S. Shin
TR E. Kirkin
–
▾2.48 ▴1.54
1 ▾2.48
6375
O19.5 1.54
1.0
M15 Kuala Lumpur Hard ITF Men - M15 Kuala Lumpur (Hard) 2
02:00 Upcoming 0200
RU D. Sarksian
IN D. Javia
–
▾2.6 ▴1.45
3.4
02:00 Upcoming 0200
IT E. Cherie
US A. Visaya
–
▾1.5 ▴2.4
1 ▾1.5
166375
1 ▾1.5
6.1
M15 Las Palmas de Gran Clay ITF Men - M15 Las Palmas de Gran (Clay) 4
10:00 Upcoming 1000
ES A. Barroso
PL M. Zielinski
–
▾1.9 ▴1.8
2.1
10:00 Upcoming 1000
ES C. Córdoba
ES M. Ponce de
–
2.68 1.68
1.0
10:00 Upcoming 1000
VE I. Parisca
ES R. Perez Socas
–
1.08 5.8
9.1
10:00 Upcoming 1000
ES S. Fita Juan
IT M. Mazza
–
▴4 1.2
6.1
M15 Maanshan Hard ITF Men - M15 Maanshan (Hard) 2
03:30 Upcoming 0330
CN T. Rigele
JP N. Koizumi
–
▴1.05 6.9
1.0
03:30 Upcoming 0330
CN Z. Zhao
CN S. Tang
–
1.54 ▾2.4
4.2
M15 Monastir Hard ITF Men - M15 Monastir (Hard) 2
08:30 Upcoming 0830
DE L. Gavrielides
DE J. Penzlin
–
▴1.41 ▾2.8
4.1
08:30 Upcoming 0830
UZ N. Bilozertsev
TN W. Abderrahman
–
▴1.86 ▾1.9
5.0
M15 Naples, FL Clay ITF Men - M15 Naples, FL (Clay) 2
16:00 Upcoming 1600
US J. Secord
RO D. N. Cazacu
–
▴1.66 ▾2.18
6.6
16:00 Upcoming 1600
US L. Liu
CZ T. Jiroušek
–
▴1.74 ▾2.06
3.4
M15 Sharm El Sheikh Hard ITF Men - M15 Sharm El Sheikh (Hard) 2
08:00 Upcoming 0800
RU A. Kukasian
IT F. Fumagalli
–
▾2.12 ▴1.71
3.8
08:00 Upcoming 0800
CZ M. Gengel
UA Y. Dzhavakian
–
▾1.11 ▴4.7
9.6
M25 Montreal Hard ITF Men - M25 Montreal (Hard) 2
15:00 Upcoming 1500
US C. Kingsley
DK O. B. Poulsen
–
▴1.39 ▾3.2
5.3
15:00 Upcoming 1500
DE M. Marterer
US T. Dean
–
▾1.14 5.3
2.8
M25 San Gregorio di Clay ITF Men - M25 San Gregorio di (Clay) 2
10:00 Upcoming 1000
IT L. Potenza
IT G. La Vela
–
1.45 2.55
1.8
12:00 Upcoming 1200
ES A. Marti
IT R. Ciurnelli
–
▾1.33 ▴3.5
6.8
W15 Antalya Clay ITF Women - W15 Antalya (Clay) 2
07:00 Upcoming 0700
TR I. Yoruk
RO D. Simionescu
–
▴3.1 ▾1.36
5.6
07:00 Upcoming 0700
RU V. Yushchenko
CH A. Gabriel
–
1.06 5.7
1.5
W15 Maanshan Hard ITF Women - W15 Maanshan (Hard) 2
02:00 Upcoming 0200
RU A. Tikhonova
TH T. Naklo
–
▾1.41 ▴2.93
1 ▾1.41
6462
U21.5 ▾1.6
4.3
02:00 Upcoming 0200
CN X. Luo
RU V. Savinykh
–
▾2.9 ▴1.39
2 ▴1.39
2646
2 ▴1.39
4.9
W15 Monastir Hard ITF Women - W15 Monastir (Hard) 2
08:30 Upcoming 0830
RU A. Lizunova
IT M. Mariani
–
▴1.44 ▾2.75
5.3
08:30 Upcoming 0830
PL D. Kuczer
IT L. Luciano
–
1.16 4.8
7.7
W15 Nules Clay ITF Women - W15 Nules (Clay) 2
08:30 Upcoming 0830
IT A. Corvi
RO M. Toma
–
▴2.7 ▾1.44
6.3
10:00 Upcoming 1000
CH K. Tsygourova
ES N. Torner
–
▾1.63 ▴2.18
4.3
W15 Paris Hard ITF Women - W15 Paris (Hard) 2
09:30 Upcoming 0930
HR I. Primorac
LV B. Zeltina
–
▴2.7 ▾1.41
5.3
11:30 Upcoming 1130
NL I. Van Den
CH C. Fontenel
–
▾1.34 ▴3.25
3.6
W15 Sharm El Sheikh Hard ITF Women - W15 Sharm El Sheikh (Hard) 2
08:00 Upcoming 0800
KZ Y. Dmitrichenko
EG L. Alhussein
–
1.82 2
5.9
10:00 Upcoming 1000
EG S. Samir
RU A. Snigireva
–
▴1.52 ▾2.38
2.9
W15 São Carlos Clay ITF Women - W15 São Carlos (Clay) 2
13:00 Upcoming 1300
BR M. Souza
CL B. Gatica
–
▴5.2 ▾1.1
5.1
13:00 Upcoming 1300
AR V. Bosio
CH M. Mettraux
–
▴1.43 ▾2.68
2.0
W35 Heraklion Clay ITF Women - W35 Heraklion (Clay) 1
08:00 Upcoming 0800
CZ A. Oktiabreva
GR S. Sakellaridi
–
1.01 13
4.2
W75 Brisbane Hard ITF Women - W75 Brisbane (Hard) 2
S1 S1
TW J. Garland
AU E. Jones
04 04
▾1.75 ▴2.05
1.7
02:00 Upcoming 0200
CN Z. Bai
US C. Lee
–
▾2.28 ▴1.56
3.4

18+ · Forecasts made by AI, for information only · BananaPoint neither takes nor places bets

The model

How our tennis predictions are made

BananaCore · 81%

Every prediction on BananaPoint comes from BananaCore, the AI model we built for tennis. Each morning it works through the day's schedule on the ATP and WTA tours, the Challengers and ITF events, and rates every match before the first serve. Nobody edits its calls by hand: what you see is what the model produced.

What the model looks at

Tennis comes down to one player against another, on one surface, on one day, so the model begins with the pairing itself: every previous meeting between the two and each player's record on hard, clay and grass courts. Next comes a year of serving and returning statistics: points won behind the first serve, return points taken, break points converted. Recent form and how much tennis each player has played lately complete the picture. The model weighs all of it together instead of trusting any single figure, because a high ranking counts for little on the wrong surface or at the end of a long week.

What each prediction tells you

Every match receives the same set of calls: a winner, a predicted score set by set, a line on total games and a single best tip, which is whichever of those calls the model backs most strongly. Beside it sits the trust score, from 0 to 10, showing how sure the model is. Only best tips rated 9.0 or higher, at odds of at least 1.05, make the Tip of the Day shortlist: the bankers of the day.

Locked before the match, graded after it

Each prediction is saved with a timestamp when it is published, always before the match starts, and it cannot be changed after that. Once the match is over, the final score is pulled in automatically and every pick is marked as won or lost. A walkover, or any match that finishes without a result, is simply left out, so it never counts as a miss. The graded picks stay on the track record page for good, wrong calls included, with monthly and daily hit rates you can download and check for yourself.

A model that learns from every result

Each result then goes back into the model. It uses that feedback to adjust how much weight each input carries, such as court speed against a returner's error rate, before it rates the next round, so its view keeps moving through the season. Our technical team monitors its performance and makes sure injuries, surface changes and crowded schedules reach its inputs, but the calls themselves are the model's alone. A high trust score means the model is confident, not that the outcome is certain: tennis always leaves room for an upset.

How to read a prediction The full track record About BananaPoint

Coverage

ATP, WTA, Challenger and ITF: the tennis we cover

BananaCore does not stop at the famous names. Its daily run takes in four circuits, in the men's game and the women's: ATP and WTA at the top, then the Challenger circuit and the ITF's World Tennis Tour, right down to the qualifying rounds. On a typical day that comes to several hundred matches, and each one receives the same full set of calls, whether it is played on a Grand Slam show court or at a small ITF event far from the cameras.

The four Grand Slams and the ATP and WTA tours make up the elite level, from their 1000-level events to the smaller tournaments that fill the weeks in between. One step down, the Challenger circuit is where men from roughly the edge of the top hundred downwards chase the points that get them into ATP draws. The ITF World Tennis Tour, with its M15 and M25 events for men and W15 to W100 events for women, is where most careers begin and where players coming back from injury rebuild their ranking.

We cover all four because careers do not stay on one level. A player who wins a Challenger this week can be in an ATP main draw a month later, and by then the model has already been reading their matches for a while. The lower circuits also play almost every week of the year, so the board keeps filling up even when the main tours take a break.

Every level counts in our public record under the same grading rules, and the share of winning picks differs from one level to the next: someone who has spent years on the tour comes with a long statistical history, while many ITF players have only a handful of recorded matches. The tournaments page shows the figures circuit by circuit. On the board you can filter matches by circuit, and with Full Access the Bet Builder can be limited to ATP and WTA.

Browse all tennis tournaments

Membership

One access, three ways to pay

Every plan unlocks the same thing: all predictions, stats and tools. Longer plans cost less per month, and you can cancel whenever you like.

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  • Bankers Win Rate81%
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Questions

Frequently asked questions

support@bananapoint.ai

What is BananaPoint.ai?

A tennis predictions site. Every day our AI model forecasts the professional matches on the ATP, WTA, Challenger and ITF calendars, and this page lists all of them.

How do I read a prediction?

1 means the first player wins, 2 means the second. The predicted score is the set score we expect, O/U lines refer to the total number of games, and the trust figure (out of 10) shows how confident the model is in the best tip.

Which predictions are free?

A selection of picks is unlocked for everyone every day, at the top of the board. Past days always stay fully visible, so you can see how every pick turned out.

How accurate is the model?

The record page lists every graded pick, month by month, and the full history can be downloaded. We point you there rather than quote one number, because it changes every day.

Can I bet on BananaPoint.ai?

No. We are an analysis site, not a bookmaker: we take no bets, and odds are shown for reference only. You must be 18 or over to use the site.

Do you sell fixed matches or inside information?

No. Every prediction comes from the model and public data. Anyone offering guaranteed or fixed results has nothing to do with us.