Aalesund II vs NTNUI Prediction
Norway · Regular Season - 22
AI Best Pick
Statistical forecasts for entertainment purposes only - not betting or financial advice.
Aalesund II vs NTNUI: the result in context
NTNUI beat Aalesund II 3-1 in the 3. Division - Girone 2 on 3 Oct 2026. The two went into the match with similar recent form.
Match Forecasts
Both teams to score forecasts not available for this match
Goal forecasts not available for this match
Corner forecasts not available for this match
Card forecasts not available for this match
Match Events
Team Comparison
Aalesund II
NTNUIAI Insights
Game State Tendencies
Aalesund II- Concedes more in 2nd half - can tire late
NTNUI- Leads at half-time in 60% of matches
- Starts fast - scores more in 1st half (0.9 vs 0.3 in second half)
- Concedes more in 2nd half - can tire late
Head to Head
Last 2 meetings, all competitions
Aalesund II2Wins · 100%0Wins · 0%Previous meetings
13/06/2026NTNUIAalesund II
04/10/2021NTNUIAalesund IIRecent Form
Aalesund IIAalesund II
Rosenborg II
OrklaAalesund IIAalesund II
Spjelkavik
Molde IIAalesund II
Kvik TrondheimAalesund IIAalesund II
Herd
StrindheimAalesund IIAalesund IIOrkla
ByåsenAalesund IIAalesund II
Ranheim IINTNUINTNUI
NardoKvik TrondheimNTNUINTNUIMolde IIOrklaNTNUINTNUIHerdStrindheimNTNUINTNUIByåsenRanheim IINTNUIHerdNTNUINardoNTNUILeague Table
| # | Team | MP | W | D | L | G | GD | Pts | Form |
|---|---|---|---|---|---|---|---|---|---|
| 1 | Strindheim | 25 | 17 | 4 | 4 | 74:31 | +43 | 55 | WWWWW |
| 2 |  Volda | 25 | 17 | 4 | 4 | 67:26 | +41 | 55 | WWLWW |
| 3 |  Melhus | 25 | 12 | 6 | 7 | 56:30 | +26 | 42 | DWLWL |
| 4 | Byåsen | 25 | 12 | 5 | 8 | 58:48 | +10 | 41 | WDLWW |
| 5 | Molde II | 25 | 10 | 5 | 10 | 66:80 | -14 | 35 | LLWWL |
| 6 | Rosenborg II | 25 | 10 | 4 | 11 | 55:47 | +8 | 34 | LWLLW |
| 7 | Nardo | 25 | 10 | 3 | 12 | 66:53 | +13 | 33 | LDWWL |
| 8 | Herd | 25 | 9 | 5 | 11 | 49:60 | -11 | 32 | LLWLD |
| 9 | Spjelkavik | 25 | 8 | 5 | 12 | 45:56 | -11 | 29 | LDLLW |
| 10 | Ranheim II | 25 | 8 | 5 | 12 | 62:77 | -15 | 29 | WLLWL |
| 11 | NTNUI | 25 | 7 | 8 | 10 | 36:52 | -16 | 29 | DLWWL |
| 12 | Kvik Trondheim | 25 | 8 | 5 | 12 | 37:57 | -20 | 29 | WDWLD |
| 13 | Aalesund II | 25 | 7 | 4 | 14 | 45:70 | -25 | 25 | LDDWL |
| 14 | Orkla | 25 | 6 | 5 | 14 | 43:72 | -29 | 23 | WLLLL |
| # | Team | MP | G | Pts |
|---|---|---|---|---|
| 1 | Strindheim | 25 | 74:31 | 55 |
| 2 | Volda | 25 | 67:26 | 55 |
| 3 | Melhus | 25 | 56:30 | 42 |
| 4 | Byåsen | 25 | 58:48 | 41 |
| 5 | Molde II | 25 | 66:80 | 35 |
| 6 | Rosenborg II | 25 | 55:47 | 34 |
| 7 | Nardo | 25 | 66:53 | 33 |
| 8 | Herd | 25 | 49:60 | 32 |
| 9 | Spjelkavik | 25 | 45:56 | 29 |
| 10 | Ranheim II | 25 | 62:77 | 29 |
| 11 | NTNUI | 25 | 36:52 | 29 |
| 12 | Kvik Trondheim | 25 | 37:57 | 29 |
| 13 | Aalesund II | 25 | 45:70 | 25 |
| 14 | Orkla | 25 | 43:72 | 23 |
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This match
More 3. Division - Girone 2 matches
About the Aalesund II vs NTNUI forecast
The forecasts for this 3. Division - Girone 2 match are built from team Elo ratings, recent form, scoring data and the head-to-head record, and are updated as new data arrives before kickoff.
How to Read These Forecasts
Each percentage shows the model's calculated likelihood for that outcome. Above 65% indicates strong statistical confidence; 45-65% reflects a competitive, open match; below 45% suggests the outcome is statistically less likely. All figures are for informational and entertainment purposes only.
Aalesund II and NTNUI in the 3. Division - Girone 2 table
NTNUI and Aalesund II are close in the 3. Division - Girone 2 table, 11th and 13th, with 4 points between them. League goal record so far: Aalesund II 45-70, NTNUI 36-52. The full standings are on the 3. Division - Girone 2 Table 2026 page.
Key Factors for This Match
NTNUI have led at half-time in 60% of their recent matches. Aalesund II and NTNUI have met only 2 times recently, averaging 2.5 goals per game in those meetings. Some underlying data for this fixture is limited, which the model accounts for with a lower confidence rating.
All forecasts are generated by statistical and machine learning models for informational and entertainment purposes only. They are not guaranteed and do not constitute financial or betting advice.