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OBOS-ligaen
Aalesund
S S S U S
1–0
Full-time
Kongsvinger
U S U T S

Retrospective analysis — the model is trained only on matches played before this one.

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The model's probabilities for a home win, draw and away win — with reasoning and recommended markets.

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Team trends

Aalesund Kongsvinger
Last 6 — all competitions · 6/6 matches
Win Ø 67%
83%
50%
Points per game
2,7
1,8
Over 2.5 Ø 50%
33%
67%
Both score Ø 58%
33%
83%
Average goals
2,2
3,8
Scored
1,8
2,3
Conceded
0,3
1,5
Goal diff per game
+1,5
+0,8
This season — OBOS-ligaen · 1/1 matches
Win Ø 100%
100%
100%
Points per game
3,0
3,0
Over 2.5 Ø 0%
0%
0%
Both score Ø 0%
0%
0%
Average goals
1,0
1,0
Scored
1,0
1,0
Conceded
0,0
0,0
Goal diff per game
+1,0
+1,0
🔒 Goal markets Pro

Expected goals, over/under and both teams to score — priced by the model before kick-off.

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🔒 Most likely result Pro

The model's top final scores with the best bookmaker odds.

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Recent head-to-head meetings

16. Sep -18 Aalesund – Kongsvinger 2–1 28. Apr -18 Kongsvinger – Aalesund 1–3

Match report

Aalesund Kongsvinger
1–0 J. Hatlehol ⚽
12′
Half-time 1–0
J. Grønner 🔁
↦ K. Ramsteijn
46′
55′
🔁 I. Mafi
↦ M. Lundal
70′
🔁 M. Aanesland
↦ S. Marklund
73′
🔁 J. Nguemo
↦ H. Holter
T. George 🔁
↦ P. Larsen
84′
V. Fiskerstrand 🔁
↦ S. Sæthre
90′
Full-time 1–0

Line-ups

Aalesund

1 A. Lie
5 O. Lie
6 K. Ramsteijn
3 D. Grétarsson
15 S. Sæthre
16 J. Hatlehol
21 P. Larsen
8 F. Carlsen
11 A. Þrándarson
17 S. Fet
14 H. Guèye
Bench (7)
4 J. Grønner
22 T. George
36 V. Fiskerstrand
13 T. Omenås
41 M. Karlsbakk
25 K. Hay
38 I. Määttä

Coach: L. Bohinen

Kongsvinger

30 A. Ahamada
3 E. Skagestad
19 M. Lundal
2 F. Pålerud
5 C. Røer
28 J. Rønningen
29 M. Gjerstrøm
15 Marlinho
16 H. Holter
11 S. Marklund
9 A. Güven
Bench (7)
18 I. Mafi
14 M. Aanesland
27 J. Nguemo
23 M. Vinjor
20 E. Bydal
31 A. Smedplass
25 S. Bojang

Coach: Vítor Gazimba

Odds comparison

Green columns are the outcomes that came in.

Over/under goals
O1,5
–
🔒
U1,5 ✓
–
🔒
O2,5
–
🔒
U2,5 ✓
–
🔒
O3,5
–
🔒
U3,5 ✓
–
🔒
Both teams to score
BLS ja
–
🔒
BLS nei ✓
–
🔒

Recent matches

The analysis is a statistical estimate based on the teams' results and underlying performances (xG) — not a guarantee. See the model's results.