Betting 
Lyngby
2 – 0
Full time
Esbjerg
Lyngby vs Esbjerg betting tips
Lyngby vs Esbjerg finished 2-0. Limited historical data available. Strong lean toward Home Over 0.5 based on this side's recent goal averages.
What are the tips for Lyngby vs Esbjerg?
Home to Score
Pick: Home Over 0.5
· Prob 81%
VIP
Won
Over/Under 2.5
Pick: Over 2.5
· Odds 1.53
· Prob 55%
VIP
Lost
Both Teams To Score
Pick: BTTS Yes
· Odds 1.54
· Prob 53%
VIP
Lost
1X2
Pick: Final Time 1
· Odds 1.73
· Prob 51%
Free
Won
Match insights: form, goals and model lean
Limited historical data available. Strong lean toward Home Over 0.5 based on this side's recent goal averages.
Previous meetings and recent results
Head to head
Lyngby recent
8 Nov 2025
B.93 Copenhagen vs Lyngby
0-3
2 Nov 2025
Lyngby vs Hobro IK
3-0
25 Oct 2025
AAB Aalborg vs Lyngby
3-2
6 Oct 2025
Hvidovre vs Lyngby
2-2
21 Sep 2025
Lyngby vs HB Koge
4-0
11 Sep 2025
Hobro IK vs Lyngby
1-4
23 Aug 2025
Lyngby vs Horsens
0-0
19 Aug 2025
Lyngby vs Hillerod
1-2
16 Aug 2025
Kolding vs Lyngby
2-3
10 Aug 2025
Lyngby vs Hvidovre
1-2
Esbjerg recent
10 Nov 2025
Esbjerg vs Middelfart
4-2
2 Nov 2025
Esbjerg vs B.93 Copenhagen
3-2
29 Oct 2025
Esbjerg vs Randers FC
0-0
25 Oct 2025
Aarhus Fremad vs Esbjerg
0-1
16 Oct 2025
Esbjerg vs Hobro IK
1-1
4 Oct 2025
Kolding vs Esbjerg
2-1
20 Sep 2025
Horsens vs Esbjerg
1-0
14 Sep 2025
Hillerod vs Esbjerg
3-0
1 Sep 2025
Esbjerg vs HB Koge
3-2
24 Aug 2025
Hobro IK vs Esbjerg
2-0
Who will win Lyngby vs Esbjerg?
Frequently asked questions
Who will win Lyngby vs Esbjerg?
Our model currently leans Final Time 1 with about 51% confidence. See free and VIP markets below.
What are the odds for Lyngby vs Esbjerg?
The featured free market shows odds around 1.73 (decimal). Switch odds format in the header if you prefer American or Fractional.
Where can I see H2H and recent form?
Scroll to Insights and H2H on this page for head-to-head results, recent W/D/L form, and goal averages when enough history is available.
Last updated 28 Oct 2026 16:10 UTC · Insights built from Betting Tips historical predictions · Data quality: insufficient