Cordoba
2 – 2
Full time
Castellon
Cordoba vs Castellon betting tips
Cordoba vs Castellon finished 2-2. Limited historical data available. Strong lean toward Under 3.5 based on recent scoring patterns.
What are the tips for Cordoba vs Castellon?
Over/Under 3.5
Pick: Under 3.5
· Odds 1.47
· Prob 74%
VIP
Lost
1X2
Pick: Final Time 12
· Odds 1.29
· Prob 71%
VIP
Lost
Home Over/Under 1.5
Pick: Home Under 1.5
· Prob 63%
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
Cordoba recent
26 Oct 2024
Cordoba vs Eldense
2-0
23 Oct 2024
Racing Santander vs Cordoba
2-0
18 Oct 2024
Cordoba vs Cartagena
2-1
13 Oct 2024
Granada CF vs Cordoba
1-0
6 Oct 2024
Albacete vs Cordoba
1-1
23 Sep 2024
Huesca vs Cordoba
4-1
13 Sep 2024
Cordoba vs Deportivo La Coruna
2-0
7 Sep 2024
Cordoba vs Malaga
0-0
2 Sep 2024
Elche vs Cordoba
3-1
26 Aug 2024
Cordoba vs Burgos CF
2-2
Castellon recent
26 Oct 2024
Real Zaragoza vs Castellon
1-2
22 Oct 2024
Castellon vs Granada CF
2-3
19 Oct 2024
Castellon vs Levante
2-0
14 Oct 2024
Sporting Gijon vs Castellon
2-1
6 Oct 2024
Eldense vs Castellon
2-3
22 Sep 2024
Castellon vs Racing Santander
0-1
16 Sep 2024
Almeria vs Castellon
2-5
9 Sep 2024
Castellon vs Cadiz
1-3
1 Sep 2024
Burgos CF vs Castellon
0-2
25 Aug 2024
Castellon vs Real Oviedo
0-0
Who will win Cordoba vs Castellon?
Frequently asked questions
Who will win Cordoba vs Castellon?
Our model currently leans Under 3.5 with about 74% confidence. See free and VIP markets below.
What are the odds for Cordoba vs Castellon?
The featured free market shows odds around 1.47 (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 7 Nov 2026 23:23 UTC · Insights built from Betting Tips historical predictions · Data quality: insufficient