Free football predictions and tips for Sweden Division 2 - Norra Svealand

There are no upcoming events in Sweden Division 2 - Norra Svealand for the next 4 days.

Best and Worst Teams Wins

Sweden
  • More Wins
Sunnersta
12
Skiljebo
12
Angby
11
Falu BS
10
Täby
9
Sweden
  • Less Wins
Kungsängen
1
Helges
2
Korsnäs
2
Lidingö
3
Viggbyholms IK
4

Best and Worst Teams Draws

Sweden
  • More Draws
Kungsängen
9
Bollstanäs
7
Lidingö
5
Gute
5
Angby
5
Sweden
  • Less Draws
Helges
2
Täby
3
Enskede
4
Falu BS
4
Franke
4

Best and Worst Teams Losses

Sweden
  • More Losses
Helges
14
Korsnäs
12
Viggbyholms IK
10
Lidingö
10
Kungsängen
8
Sweden
  • Less Losses
Angby
2
Skiljebo
2
Sunnersta
2
Bollstanäs
4
Falu BS
4

Best and Worst Attacking Teams

Sweden
  • Best Attacking Teams
Sunnersta
45
Skiljebo
43
Bollstanäs
37
Angby
33
Täby
32
Sweden
  • Worst Attacking Teams
Helges
14
Korsnäs
17
Viggbyholms IK
17
Kungsängen
18
Lidingö
20

Best and Worst Defending Teams

Sweden
  • Best Defending Teams
Sunnersta
15
Falu BS
19
Täby
19
Angby
20
Skiljebo
20
Sweden
  • Worst Defending Teams
Helges
47
Korsnäs
43
Lidingö
35
Viggbyholms IK
33
Kungsängen
31

Sweden Division 2 - Norra Svealand Last Results and Predictions

Sweden Division 2 - Norra Svealand Standings

# Name P W D L Goals Last 5 Pts
1
Sunnersta
18 12 4 2 45:15
LWWWW
40
2
Skiljebo
18 12 4 2 43:20
WWWWW
40
3
Angby
18 11 5 2 33:20
WDWWD
38
4
Falu BS
18 10 4 4 28:19
WWLLW
34
5
Enskede
18 9 4 5 29:22
WDLWD
31
6
Täby
18 9 3 6 32:19
LLWLW
30
7
Bollstanäs
18 7 7 4 37:29
WWWDW
28
8
Gute
18 6 5 7 27:28
WLLWL
23
9
Franke
18 6 4 8 31:30
LLWDL
22
10
Viggbyholms IK
18 4 4 10 17:33
DWLLW
16
11
Lidingö
18 3 5 10 20:35
LLWLL
14
12
Kungsängen
18 1 9 8 18:31
DDLLL
12
13
Korsnäs
18 2 4 12 17:43
LDLLL
10
14
Helges
18 2 2 14 14:47
LLLWL
8

When are the Sweden Division 2 - Norra Svealand Predictions available?

You can track down our Division 2 - Norra Svealand tips and predictions on this page, predictions are posted 4 days before any Division 2 - Norra Svealand event. Using artificial intelligence on football predictions help users predict outcomes for a event.

The goal of our Sweden Division 2 - Norra Svealand Predictions?

The objective is give most-precise forecast while being totally straightforward in doing as such. We firmly trust that having the right tool here in our daily football predictions the expectations can have a massive effect between Division 2 - Norra Svealand fans and punters.
  • Top Countries
  • News and Articles
Value betting explained with examples from AI probabilities

Value betting explained with examples from AI probabilities

A clear, example-driven guide to value betting using AI probabilities, showing how to convert odds into implied probabilities, spot positive expected value, size stakes responsibly, and avoid common traps.

Neuer ready for Freiburg Pavlovic on his way back

Neuer ready for Freiburg Pavlovic on his way back

FC Bayern are entering the decisive phase of the season. Coach Vincent Kompany can briefly breathe a cautious sigh of relief.

How to use Elo ratings for football predictions

How to use Elo ratings for football predictions

A practical guide to using Elo ratings in football predictions, from team strength and home advantage to draw probability, league adjustments, and model improvement.

If Alonso is not good enough for Real, then who is?

If Alonso is not good enough for Real, then who is?

Philipp Lahm has come to the defense of his former teammate Xabi Alonso. The Basque was dismissed earlier this year by Real Madrid, and Lahm sees the coaching job at Los Blancos as the ultimate challenge in world football.

Machine learning vs human intuition in match forecasting

Machine learning vs human intuition in match forecasting

Compare machine learning and human intuition in match forecasting, examining strengths, blind spots, and why a hybrid approach often delivers the most dependable predictions.

The best data sources for AI soccer predictions

The best data sources for AI soccer predictions

A practical guide to the best data sources for AI soccer predictions, covering event data, tracking data, odds, injuries, and open datasets, plus how to choose, validate, and combine them.

Odd:1.38