NorthEast United Predictions, Stats & Form
Recent Form
NorthEast Average Stats
Last 10 Matches
AI Predictions
07:30 Afgelopen |
NorthEast
2
:
1
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|
|
|
1 |
O2.5 |
YES |
1 |
4.9/10 |
10:00 Afgelopen |
Minerva P
1
:
1
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|
|
|
X |
U3.5 |
NO |
U3.5 |
4.6/10 |
10:00 Afgelopen |
Mumbai City
1
:
1
![]() |
|
|
|
X |
U3.5 |
YES |
U3.5 |
5/10 |
07:30 Afgelopen |
Bengaluru
1
:
1
![]() |
|
|
|
1 |
U3.5 |
NO |
U3.5 |
4.5/10 |
07:00 Afgelopen |
Jamshedpur
2
:
2
![]() |
|
|
|
2 |
U3.5 |
NO |
X2 |
5/10 |
08:00 Afgelopen |
NorthEast
6
:
0
![]() |
|
|
|
1 |
O2.5 |
NO |
1 |
3.8/10 |
11:00 Afgelopen |
NorthEast
0
:
2
![]() ![]() |
|
|
|
1 |
O2.5 |
NO |
1 |
3.9/10 |
07:30 Afgelopen |
NorthEast
4
:
0
![]() ![]() |
|
|
|
X2 |
U3.5 |
NO |
U3.5 |
4.2/10 |
10:00 Afgelopen |
Chennaiyin
0
:
3
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|
|
|
2 |
U3.5 |
YES |
U3.5 |
3.7/10 |
About This Page
On this page, you can find football predictions, stats, and analysis for the team NorthEast United. All predictions are generated using our AI algorithm, NT Apex. To date, the algorithm has predicted 73 matches involving NorthEast United with a success rate of 58.9% for the best tip. The predictions include tips for Final Result, Under/Over, Both Teams to Score, Ball Possession, Total Shots, Corners, xG, Correct Score, etc.
Although active predictions are blurred without a subscription, we maintain full transparency: all completed matches remain visible, allowing you to review our performance history at any time.
| Stat | Home | Away | Total |
|---|---|---|---|
| Matches | 0 | 4 | 4 |
| Wins | 0 | 0 | 0 |
| Draws | 0 | 3 | 3 |
| Losses | 0 | 1 | 1 |
| Goals For | 0 | 3 | 3 |
| Goals Against | 0 | 6 | 6 |
| Avg Goals For | 0.0 | 0.8 | 0.8 |
| Avg Goals Against | 0.0 | 1.5 | 1.5 |
| Clean Sheets | 0 | 0 | 0 |
| Failed to Score | 0 | 1 | 1 |
| Player | Age | Pos | Rating |
|---|---|---|---|
|
Andy
|
35 | MID | 7.08 |
|
R. Yadav
|
24 | DEF | 6.90 |
|
M. Nickson
|
21 | MID | 6.70 |
|
L. Lalbiaknia
|
25 | FWD | 6.70 |
|
Parthib Gogoi
|
22 | FWD | 6.68 |
|
T. Singh
|
21 | FWD | 6.68 |
|
G. Singh
|
26 | GK | 6.60 |
|
A. Akhtar
|
31 | DEF | 6.53 |
|
J. Madathil Subran
|
27 | MID | 6.53 |
|
R. Tlang
|
30 | DEF | 6.47 |
|
M. Mayakkannan
|
28 | MID | 6.45 |
|
L. Vanlalvunga
|
25 | FWD | 6.43 |
|
B. Samte
|
26 | DEF | 6.40 |
|
Jairo Samperio
|
32 | MID | 6.40 |
|
D. Singh
|
28 | DEF | 6.40 |
|
Míchel Zabaco
|
36 | DEF | 6.35 |
|
D. Meitei
|
18 | MID | 6.35 |
|
A. Padmanabhan
|
24 | FWD | 6.30 |



