Betting 
Mirandes
3 – 2
Full time
Castellon
Mirandes vs Castellon betting tips
Mirandes vs Castellon finished 3-2. Limited historical data available. Strong model confidence for Final Time 1X. Consider this a high-confidence pick.
What are the tips for Mirandes vs Castellon?
1X2
Pick: Final Time 1X
· Odds 1.22
· Prob 74%
VIP
Won
Over/Under 3.5
Pick: Under 3.5
· Odds 1.32
· Prob 73%
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
Head to head
Mirandes recent
3 May 2025
Eibar vs Mirandes
0-1
18 Apr 2025
Sporting Gijon vs Mirandes
3-1
6 Apr 2025
Real Zaragoza vs Mirandes
1-0
30 Mar 2025
Albacete vs Mirandes
3-2
22 Mar 2025
Mirandes vs Racing Santander
2-1
16 Mar 2025
Eldense vs Mirandes
2-2
8 Mar 2025
Mirandes vs Real Oviedo
1-0
23 Feb 2025
Levante vs Mirandes
1-0
8 Feb 2025
Granada CF vs Mirandes
0-0
1 Feb 2025
Mirandes vs Elche
3-0
Castellon recent
27 Apr 2025
Malaga vs Castellon
1-0
18 Apr 2025
Castellon vs Almeria
4-1
13 Apr 2025
Racing Santander vs Castellon
1-1
23 Mar 2025
Levante vs Castellon
3-2
17 Mar 2025
Castellon vs Deportivo La Coruna
2-2
8 Mar 2025
Elche vs Castellon
3-1
1 Mar 2025
Castellon vs Burgos CF
2-1
23 Feb 2025
Cadiz vs Castellon
0-0
15 Feb 2025
Castellon vs Eibar
2-0
8 Feb 2025
Racing de Ferrol vs Castellon
1-3
Who will win Mirandes vs Castellon?
Frequently asked questions
Who will win Mirandes vs Castellon?
Our model currently leans Final Time 1X with about 74% confidence. See free and VIP markets below.
What are the odds for Mirandes vs Castellon?
The featured free market shows odds around 1.22 (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 15 Nov 2026 11:26 UTC · Insights built from Betting Tips historical predictions · Data quality: insufficient