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

12:0031.05
Korsnäs
Viggbyholms IK
1X
14:4531.05
Lidingö
Falu BS
X2

Best and Worst Teams Wins

Sweden
  • More Wins
Skiljebo
6
Täby
5
Sunnersta
5
Franke
5
Falu BS
5
Sweden
  • Less Wins
Kungsängen
0
Helges
1
Korsnäs
1
Viggbyholms IK
1
Lidingö
2

Best and Worst Teams Draws

Sweden
  • More Draws
Kungsängen
5
Sunnersta
4
Gute
4
Bollstanäs
4
Täby
3
Sweden
  • Less Draws
Franke
1
Viggbyholms IK
1
Enskede
2
Helges
2
Lidingö
2

Best and Worst Teams Losses

Sweden
  • More Losses
Viggbyholms IK
7
Helges
7
Lidingö
5
Kungsängen
5
Korsnäs
5
Sweden
  • Less Losses
Falu BS
1
Skiljebo
1
Sunnersta
1
Angby
2
Gute
2

Best and Worst Attacking Teams

Sweden
  • Best Attacking Teams
Sunnersta
24
Skiljebo
22
Franke
21
Angby
19
Bollstanäs
18
Sweden
  • Worst Attacking Teams
Helges
6
Viggbyholms IK
7
Korsnäs
8
Kungsängen
8
Lidingö
11

Best and Worst Defending Teams

Sweden
  • Best Defending Teams
Falu BS
8
Sunnersta
9
Skiljebo
10
Täby
10
Enskede
13
Sweden
  • Worst Defending Teams
Viggbyholms IK
23
Helges
23
Bollstanäs
19
Kungsängen
18
Lidingö
17

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
Skiljebo
10 6 3 1 22:10
LDWWW
21
2
Sunnersta
10 5 4 1 24:9
DWDDL
19
3
Falu BS
9 5 3 1 16:8
WLWDW
18
4
Täby
10 5 3 2 17:10
WWDDW
18
5
Angby
10 5 3 2 19:14
DWWWL
18
6
Enskede
10 5 2 3 15:13
DLWDL
17
7
Franke
10 5 1 4 21:13
DWLLW
16
8
Gute
10 4 4 2 15:13
WDDDW
16
9
Bollstanäs
10 3 4 3 18:19
DLWDL
13
10
Lidingö
9 2 2 5 11:17
WDLWL
8
11
Korsnäs
9 1 3 5 8:17
LLLDW
6
12
Kungsängen
10 0 5 5 8:18
DLLDD
5
13
Helges
10 1 2 7 6:23
LLLWD
5
14
Viggbyholms IK
9 1 1 7 7:23
LWLLL
4

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
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.

Liverpool confirm Alexander Isak suffers broken leg and undergoes surgery

Liverpool confirm Alexander Isak suffers broken leg and undergoes surgery

Ankle surgery for Alexander Isak will keep the Liverpool striker out for an undefined period after he suffered a fibula fracture in the win at Tottenham.

Using Football Predictions AI to Avoid Bad Bets, Not Chase Winners

Using Football Predictions AI to Avoid Bad Bets, Not Chase Winners

Use Football Predictions AI as a disciplined filter to avoid low-edge bets, manage risk, and make probability-based decisions instead of chasing winners.

FIFA Reports Record Demand for World Cup 2026 Tickets

FIFA Reports Record Demand for World Cup 2026 Tickets

FIFA says World Cup 2026 received 150 million ticket requests in 15 days, highlighting unprecedented demand, sparking debate on pricing and accessibility, and setting expectations for a highly competitive allocation process across the three host nations.

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.

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.

Odd:1.38