Betting 
Las Palmas
1 – 1
Full time
Castellon
Las Palmas vs Castellon betting tips
Las Palmas vs Castellon finished 1-1. Limited historical data available. Strong model confidence for Final Time 12. Consider this a high-confidence pick.
What are the tips for Las Palmas vs Castellon?
1X2
Pick: Final Time 12
· Odds 1.32
· Prob 72%
VIP
Lost
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
Las Palmas recent
15 Feb 2026
Mirandes vs Las Palmas
1-1
7 Feb 2026
Las Palmas vs Burgos CF
0-0
30 Jan 2026
Real Sociedad B vs Las Palmas
1-1
24 Jan 2026
Las Palmas vs Cordoba
1-2
18 Jan 2026
Racing Santander vs Las Palmas
4-1
10 Jan 2026
Las Palmas vs Deportivo La Coruna
1-1
4 Jan 2026
Real Zaragoza vs Las Palmas
1-2
20 Dec 2025
Las Palmas vs Cultural Leonesa
4-0
14 Dec 2025
Ceuta vs Las Palmas
1-1
8 Dec 2025
Las Palmas vs Mirandes
0-0
Castellon recent
15 Feb 2026
Castellon vs Deportivo La Coruna
2-0
1 Feb 2026
Castellon vs FC Andorra
2-0
16 Jan 2026
Castellon vs Leganes
2-0
11 Jan 2026
Granada CF vs Castellon
0-0
3 Jan 2026
Castellon vs Huesca
4-1
15 Dec 2025
Castellon vs Mirandes
3-1
7 Dec 2025
Deportivo La Coruna vs Castellon
1-3
30 Nov 2025
Castellon vs Las Palmas
1-0
22 Nov 2025
FC Andorra vs Castellon
1-3
15 Nov 2025
Castellon vs Real Sociedad B
5-4
Who will win Las Palmas vs Castellon?
Frequently asked questions
Who will win Las Palmas vs Castellon?
Our model currently leans Final Time 12 with about 72% confidence. See free and VIP markets below.
What are the odds for Las Palmas vs Castellon?
The featured free market shows odds around 1.32 (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 14 Nov 2026 20:30 UTC · Insights built from Betting Tips historical predictions · Data quality: insufficient