Betting 
Tombense MG
3 – 2
Full time
Figueirense SC
Tombense MG vs Figueirense SC betting tips
Tombense MG vs Figueirense SC finished 3-2. Limited historical data available. Strong lean toward Under 3.5 based on recent scoring patterns.
What are the tips for Tombense MG vs Figueirense SC?
Over/Under 3.5
Pick: Under 3.5
· Odds 1.20
· Prob 74%
VIP
Lost
1X2
Pick: Final Time 1X
· Odds 1.24
· Prob 74%
VIP
Won
Match insights: form, goals and model lean
Limited historical data available. Strong lean toward Under 3.5 based on recent scoring patterns.
Previous meetings and recent results
Head to head
Tombense MG recent
24 Aug 2024
Ferroviario CE vs Tombense MG
3-3
20 Aug 2024
Tombense MG vs Botafogo PB
1-2
11 Aug 2024
Tombense MG vs Centro Sportivo Alagoano AL
0-1
3 Aug 2024
Volta Redonda RJ vs Tombense MG
1-1
20 Jul 2024
Tombense MG vs Figueirense SC
1-1
16 Jul 2024
ABC RN vs Tombense MG
1-0
7 Jul 2024
Tombense MG vs Nautico PE
0-0
Figueirense SC recent
24 Aug 2024
Volta Redonda RJ vs Figueirense SC
1-0
11 Aug 2024
Figueirense SC vs Londrina PR
0-0
27 Jul 2024
Figueirense SC vs Remo PA
1-0
20 Jul 2024
Tombense MG vs Figueirense SC
1-1
14 Jul 2024
Nautico PE vs Figueirense SC
4-0
16 Jun 2024
Figueirense SC vs Confianca SE
2-0
8 Jun 2024
Figueirense SC vs ABC RN
1-1
2 Jun 2024
Caxias RS vs Figueirense SC
2-1
30 May 2024
Ypiranga RS vs Figueirense SC
1-0
21 May 2024
Floresta CE vs Figueirense SC
0-2
Who will win Tombense MG vs Figueirense SC?
Frequently asked questions
Who will win Tombense MG vs Figueirense SC?
Our model currently leans Under 3.5 with about 74% confidence. See free and VIP markets below.
What are the odds for Tombense MG vs Figueirense SC?
The featured free market shows odds around 1.20 (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 6 Nov 2026 05:20 UTC · Insights built from Betting Tips historical predictions · Data quality: insufficient