Betting 
Super Nova Riga
1 – 0
Full time
FK Tukums 2000
Super Nova Riga vs FK Tukums 2000 betting tips
Super Nova Riga vs FK Tukums 2000 finished 1-0. Limited historical data available. Strong model confidence for Final Time 12. Consider this a high-confidence pick.
What are the tips for Super Nova Riga vs FK Tukums 2000?
1X2
Pick: Final Time 12
· Odds 1.25
· Prob 70%
VIP
Won
Match insights: form, goals and model lean
Limited historical data available. Strong model confidence for Final Time 12. Consider this a high-confidence pick.
Previous meetings and recent results
Head to head
Super Nova Riga recent
1 Jul 2025
Super Nova Riga vs Auda Kekava
0-1
22 Jun 2025
Riga FC vs Super Nova Riga
2-0
17 Jun 2025
Super Nova Riga vs FK Liepaja
1-3
14 Jun 2025
RFS Riga vs Super Nova Riga
2-1
11 May 2025
Super Nova Riga vs Auda Kekava
1-1
1 May 2025
Super Nova Riga vs Riga FC
1-5
20 Apr 2025
Super Nova Riga vs RFS Riga
1-2
16 Mar 2025
Auda Kekava vs Super Nova Riga
1-0
FK Tukums 2000 recent
2 Jul 2025
Metta Riga vs FK Tukums 2000
0-3
25 Jun 2025
FK Tukums 2000 vs FK Liepaja
1-3
21 Jun 2025
BFC Daugavpils vs FK Tukums 2000
1-2
13 Jun 2025
FK Tukums 2000 vs Auda Kekava
2-4
31 May 2025
Riga FC vs FK Tukums 2000
3-0
25 May 2025
FK Tukums 2000 vs RFS Riga
2-5
21 May 2025
Grobinas SC vs FK Tukums 2000
2-0
11 May 2025
FK Tukums 2000 vs Metta Riga
2-0
6 May 2025
FK Tukums 2000 vs FK Liepaja
2-2
Who will win Super Nova Riga vs FK Tukums 2000?
Frequently asked questions
Who will win Super Nova Riga vs FK Tukums 2000?
Our model currently leans Final Time 12 with about 70% confidence. See free and VIP markets below.
What are the odds for Super Nova Riga vs FK Tukums 2000?
The featured free market shows odds around 1.25 (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 31 Oct 2026 15:32 UTC · Insights built from Betting Tips historical predictions · Data quality: insufficient