Betting 
Chaves
1 – 1
Full time
Felgueiras 1932
Chaves vs Felgueiras 1932 betting tips
Chaves vs Felgueiras 1932 finished 1-1. Limited historical data available. Strong lean toward Under 3.5 based on recent scoring patterns.
What are the tips for Chaves vs Felgueiras 1932?
Over/Under 3.5
Pick: Under 3.5
· Odds 1.25
· Prob 73%
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Won
1X2
Pick: Final Time 12
· Odds 1.32
· Prob 72%
VIP
Lost
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
Chaves recent
10 Aug 2025
Chaves vs Benfica B
1-1
15 May 2025
Penafiel vs Chaves
0-0
10 May 2025
Chaves vs Uniao Leiria
0-2
4 May 2025
Tondela vs Chaves
2-1
12 Apr 2025
Chaves vs Portimonense
2-0
15 Mar 2025
Chaves vs Oliveirense
4-0
7 Mar 2025
Feirense vs Chaves
0-1
9 Feb 2025
Mafra vs Chaves
0-0
2 Feb 2025
Chaves vs Maritimo
1-1
25 Jan 2025
Leixoes vs Chaves
0-0
Felgueiras 1932 recent
16 Aug 2025
Felgueiras 1932 vs Maritimo
0-1
10 Aug 2025
Leixoes vs Felgueiras 1932
3-0
17 May 2025
Felgueiras 1932 vs Oliveirense
2-1
10 May 2025
Pacos Ferreira vs Felgueiras 1932
1-2
18 Apr 2025
Felgueiras 1932 vs Leixoes
4-0
13 Apr 2025
Torreense vs Felgueiras 1932
1-1
5 Apr 2025
Felgueiras 1932 vs Penafiel
1-0
31 Mar 2025
Mafra vs Felgueiras 1932
1-0
15 Mar 2025
Maritimo vs Felgueiras 1932
0-0
8 Mar 2025
Felgueiras 1932 vs Uniao Leiria
2-2
Who will win Chaves vs Felgueiras 1932?
Frequently asked questions
Who will win Chaves vs Felgueiras 1932?
Our model currently leans Under 3.5 with about 73% confidence. See free and VIP markets below.
What are the odds for Chaves vs Felgueiras 1932?
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 10 Nov 2026 02:18 UTC · Insights built from Betting Tips historical predictions · Data quality: insufficient