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ITF W35 Rome GA Predictions 2026

On this page you can view ITF W35 Rome GA 2026 analysis and predictions. Player form, head-to-head records, and surface data are taken into account, and predictions are automatically generated by AI with an accuracy of over 77.8%.

Straight Sets Wins
70.4%
Tiebreak Matches
29.6%
Avg. Sets per Match
2.3
View more stats
Favorite Wins
44.4%
Underdog Wins
55.6%
AI Prediction Accuracy
77.8%
Favorite Wins
44.4%
Underdog Wins
55.6%
AI Prediction Accuracy
77.8%

Predicted

55

Upcoming

0

Success

77.8%
DateMatchScore12TIPPREDICTED SCOREBEST TIPTRUST

09:00

Finished
US
A. Honer
US
A. Akli
0
2
-152
125

1

-152
637
265

O20.5

-125
6.7/10
DateMatchScore12TIPPREDICTED SCOREBEST TIPTRUST

09:08

Finished
US
A. Honer
IN
S. Yamalapalli
2
0
-189
134

1

-189
66
34

1

-189
5.3/10

09:00

Finished
US
J. Chan
US
A. Akli
0
2
320
-500

2

-500
35
67

2

-500
4.4/10
DateMatchScore12TIPPREDICTED SCOREBEST TIPTRUST

09:30

Finished
IN
S. Yamalapalli
US
S. Broadus
2
0
192
-250

2

-250
24
66

U20.5

-132
3.5/10

09:30

Finished
US
M. Brengle
US
A. Honer
0
1
-154
127

2

127
732
666

O20.5

-122
8.2/10

09:30

Finished
JP
E. Koike
US
A. Akli
0
2
100
-105

2

-105
645
267

O20.5

-128
8.3/10

09:30

Finished
CA
A. Arseneault
US
J. Chan
0
2
-323
235

1

-323
636
364

O19.5

-128
7.9/10
DateMatchScore12TIPPREDICTED SCOREBEST TIPTRUST

12:00

Finished
US
M. Brengle
RU
E. Khayrutdinova
2
1
-303
210

1

-303
66
32

1

-303
1.3/10

12:00

Retired
US
J. Chan
US
L. Ma
0
0
690
-2000

2

-2000
23
66

2

-2000
7.7/10

10:00

Finished
US
S. Broadus
ES
A. Herrero
2
0
-556
335

2

335
34
66

U19.5

-120
1.7/10

09:00

Finished
US
A. Hrastar
US
A. Honer
0
2
380
-667

2

-667
24
66

2

-667
7.5/10

09:00

Finished
US
T. Evans
US
A. Akli
1
2
128
-169

2

-169
731
666

2

-169
5.5/10

09:00

Finished
IN
S. Yamalapalli
US
B. Payne
2
0
-213
157

1

-213
66
32

U20.5

-114
5.3/10

09:00

Finished
JP
E. Koike
US
C. Jauffret
2
1
-556
450

1

-556
66
42

1

-556
3.9/10
DateMatchScore12TIPPREDICTED SCOREBEST TIPTRUST

14:57

Finished
CA
A. Arseneault
US
M. Ekstrand
2
0
-111
-122

1

-111
66
42

U21.5

-130
4.4/10

12:35

Finished
AU
L. Fairclough
US
A. Akli
0
2
640
-1250

2

-1250
732
566

2

-1250
2.2/10

12:30

Finished
US
V. Martinez
US
L. Ma
0
2
640
-1667

2

-1667
22
66

2

-1667
8.3/10

12:30

Finished
US
J. Daniel
US
J. Chan
1
2
-122
150

2

150
44
66

2

150
3.4/10

12:09

Finished
US
M. Iyengar
US
A. Honer
0
2
700
-2000

2

-2000
13
66

2

-2000
10/10

11:35

Finished
JP
H. Kuwata
US
T. Evans
0
2
750
-2000

2

-2000
42
66

2

-2000
5.1/10

10:09

Finished
JP
E. Koike
US
K. Collins
2
1
-244
172

1

-244
466
643

O20.5

-111
6.5/10

10:00

Finished
US
A. Frey
US
C. Jauffret
0
2
-128
100

1

-128
166
624

1

-128
5.5/10

10:00

Finished
US
A. Hrastar
US
S. Shumate
2
1
-556
410

1

-556
66
23

1

-556
4.5/10

10:00

Finished
US
A. Catanzarite
RU
E. Khayrutdinova
0
2
460
-714

2

-714
632
366

2

-714
8/10

12:30

Finished
US
B. Payne
US
C. McNeil
2
1
-263
182

1

-263
626
164

1

-263
2.3/10

12:30

Finished
US
S. Broadus
US
M. Lewis
2
0
-2000
690

1

-2000
66
42

1

-2000
6.1/10

12:30

Finished
IN
S. Yamalapalli
US
M. Rapolu
2
1
127
-172

1

127
566
732

1

127
2/10

12:30

Finished
BR
C. Bohrer
ES
A. Herrero
0
2
455
-909

2

-909
164
636

2

-909
8/10

ITF W35 Rome GA 2026 Predictions & Tips

Our AI has analyzed 55 matches at ITF W35 Rome GA 2026, with a best-tip accuracy above 77.8%. ITF events form the foundation of professional tennis, featuring up-and-coming players building their careers — our model pays special attention to recent form and head-to-head data, which are particularly predictive at this level.

For every match, you receive predictions on winner, score, aces, break points, and total games — combined with head-to-head records, recent form, and surface performance data to support your analysis.

All past ITF W35 Rome GA 2026 predictions remain visible — explore our track record and use the insights for your research.