Atletico de Rafaela
1 – 0
Full time
Ferrocarril Midland
Atletico de Rafaela vs Ferrocarril Midland betting tips
Atletico de Rafaela vs Ferrocarril Midland finished 1-0. Limited historical data available. Strong lean toward Under 3.5 based on recent scoring patterns.
What are the tips for Atletico de Rafaela vs Ferrocarril Midland?
Over/Under 3.5
Pick: Under 3.5
· Odds 1.08
· Prob 75%
VIP
Won
1X2
Pick: Final Time 1X
· Odds 1.34
· Prob 73%
VIP
Won
Home Over/Under 1.5
Pick: Home Under 1.5
· Prob 63%
VIP
Won
Over/Under 2.5
Pick: Under 2.5
· Odds 1.31
· Prob 60%
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
Atletico de Rafaela recent
16 May 2026
Club Atletico Atlanta vs Atletico de Rafaela
2-0
9 May 2026
Atletico de Rafaela vs Gimnasia y Tiro
1-0
25 Apr 2026
Atletico de Rafaela vs Gimnasia de Jujuy
0-0
21 Apr 2026
Atletico de Rafaela vs Agropecuario Argentino
4-1
14 Apr 2026
Tristan Suarez vs Atletico de Rafaela
0-0
5 Apr 2026
Atletico de Rafaela vs Atletico Guemes
1-2
30 Mar 2026
Defensores de Belgrano vs Atletico de Rafaela
1-1
28 Mar 2026
Belgrano Cordoba vs Atletico de Rafaela
3-0
22 Mar 2026
Chacarita Juniors vs Atletico de Rafaela
0-1
14 Mar 2026
Atletico de Rafaela vs San Martin de San Juan
1-0
Who will win Atletico de Rafaela vs Ferrocarril Midland?
Frequently asked questions
Who will win Atletico de Rafaela vs Ferrocarril Midland?
Our model currently leans Under 3.5 with about 75% confidence. See free and VIP markets below.
What are the odds for Atletico de Rafaela vs Ferrocarril Midland?
The featured free market shows odds around 1.08 (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 24 Oct 2026 19:17 UTC · Insights built from Betting Tips historical predictions · Data quality: insufficient