Dukla Prague
1 – 3
Full time
Teplice
Dukla Prague vs Teplice betting tips
Dukla Prague vs Teplice finished 1-3. Limited historical data available. Strong model confidence for Final Time 1X. Consider this a high-confidence pick.
What are the tips for Dukla Prague vs Teplice?
1X2
Pick: Final Time 1X
· Odds 1.34
· Prob 72%
VIP
Lost
Match insights: form, goals and model lean
Limited historical data available. Strong model confidence for Final Time 1X. Consider this a high-confidence pick.
Previous meetings and recent results
Dukla Prague recent
26 Sep 2025
Slavia Prague vs Dukla Prague
2-0
21 Sep 2025
Dukla Prague vs Bohemians 1905 Prague
0-2
13 Sep 2025
Zlin vs Dukla Prague
1-1
30 Aug 2025
Dukla Prague vs Hradec Kralove
1-1
24 Aug 2025
Sparta Prague vs Dukla Prague
3-2
16 Aug 2025
Dukla Prague vs Viktoria Plzen
2-0
9 Aug 2025
Slovan Liberec vs Dukla Prague
2-0
3 Aug 2025
Dukla Prague vs Banik Ostrava
1-1
26 Jul 2025
Sigma Olomouc vs Dukla Prague
0-0
19 Jul 2025
Karvina vs Dukla Prague
2-0
Teplice recent
28 Sep 2025
Teplice vs FK Pardubice
0-0
20 Sep 2025
Sigma Olomouc vs Teplice
0-0
13 Sep 2025
Teplice vs Mlada Boleslav
2-3
30 Aug 2025
Karvina vs Teplice
4-1
23 Aug 2025
Teplice vs Jablonec
0-1
16 Aug 2025
FC Slovacko vs Teplice
2-1
9 Aug 2025
Slavia Prague vs Teplice
3-0
2 Aug 2025
Teplice vs Bohemians 1905 Prague
3-0
27 Jul 2025
Banik Ostrava vs Teplice
1-0
19 Apr 2025
Teplice vs Hradec Kralove
1-0
Who will win Dukla Prague vs Teplice?
Frequently asked questions
Who will win Dukla Prague vs Teplice?
Our model currently leans Final Time 1X with about 72% confidence. See free and VIP markets below.
What are the odds for Dukla Prague vs Teplice?
The featured free market shows odds around 1.34 (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 05:23 UTC · Insights built from Betting Tips historical predictions · Data quality: insufficient