Free football 1x2 predictions and tips for Norway 3. Division - Girone 3

12:0017.10
Førde
Djerv
2
13:0017.10
Stord
Gneist
1
14:0017.10
Vard
Askøy
1
15:0017.10
Fana
Fyllingsdalen
1

Best and Worst Teams Wins

Norway
  • More Wins
Os
17
Djerv
15
Fana
13
Vard
12
Askøy
12
Norway
  • Less Wins
Fyllingsdalen
1
Åsane II
4
Gneist
5
Stord
5
Varegg
6

Best and Worst Teams Draws

Norway
  • More Draws
Stord
9
Åsane II
7
Askøy
7
Brann II
6
Austevoll
6
Norway
  • Less Draws
Os
1
Fana
2
Fyllingsdalen
3
Gneist
3
Sogndal II
3

Best and Worst Teams Losses

Norway
  • More Losses
Fyllingsdalen
19
Gneist
15
Åsane II
12
Varegg
12
Sogndal II
11
Norway
  • Less Losses
Djerv
3
Askøy
4
Os
5
Vard
6
Austevoll
7

Best and Worst Attacking Teams

Norway
  • Best Attacking Teams
Os
76
Fana
64
Vard
62
Sogndal II
61
Djerv
59
Norway
  • Worst Attacking Teams
Fyllingsdalen
19
Varegg
37
Gneist
39
Åsane II
39
Askøy
40

Best and Worst Defending Teams

Norway
  • Best Defending Teams
Askøy
29
Djerv
30
Os
39
Vard
42
Brann II
43
Norway
  • Worst Defending Teams
Fyllingsdalen
72
Gneist
67
Stord
61
Åsane II
57
Førde
51

Norway 3. Division - Girone 3 Last Results and Predictions

Norway 3. Division - Girone 3 Standings

# Name P W D L Goals Last 5 Pts
1
Os
23 17 1 5 76:39
WDLWL
52
2
Djerv
23 15 5 3 59:30
WWWWW
50
3
Askøy
23 12 7 4 40:29
LDLWD
43
4
Vard
23 12 5 6 62:42
WWWWW
41
5
Fana
23 13 2 8 64:45
WWLWW
41
6
Brann II
23 10 6 7 54:43
LLWWW
36
7
Austevoll
23 10 6 7 45:51
WWWLL
36
8
Førde
23 9 4 10 43:51
LWDLL
31
9
Sogndal II
23 9 3 11 61:49
WLLLL
30
10
Stord
23 5 9 9 44:61
WLWLD
24
11
Varegg
23 6 5 12 37:46
LWWDW
23
12
Åsane II
23 4 7 12 39:57
LLDLL
19
13
Gneist
23 5 3 15 39:67
LLLDW
18
14
Fyllingsdalen
23 1 3 19 19:72
LLLLL
6

When are the 1x2 Norway 3. Division - Girone 3 Predictions available?

You can track down our 1x2 3. Division - Girone 3 tips and predictions on this page, predictions are posted 4 days before any 3. Division - Girone 3 event. Using artificial intelligence on football predictions help users predict outcomes for 1x2 tips in a given event.

What is 1x2 Predictions?

1X2 predictions is simply the outcome of a fixture and is often referred to as match result. The 1X2 connects straightforwardly to this: backing the home team, which is signified by the number 1, backing the draw, which is signified by the letter X, backing the away team, which is signified by the number 2.
  • Top Countries
  • News and Articles
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.

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.

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.

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.

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