Betting 
Numancia
2 – 3
Full time
Mallorca
Numancia vs Mallorca betting tips
Numancia vs Mallorca finished 2-3. Limited historical data available. Strong lean toward Home Under 1.5 based on this side's recent goal averages.
What are the tips for Numancia vs Mallorca?
Home Over/Under 1.5
Pick: Home Under 1.5
· Prob 78%
VIP
Lost
Away to Score
Pick: Away Over 0.5
· Prob 78%
VIP
Won
1X2
Pick: Final Time 2
· Odds 1.65
· Prob 59%
VIP
Won
Home to Score
Pick: Home Under 0.5
· Prob 40%
VIP
Lost
Match insights: form, goals and model lean
Limited historical data available. Strong lean toward Home Under 1.5 based on this side's recent goal averages.
Previous meetings and recent results
Head to head
Numancia recent
27 May 2023
Numancia vs Cornella
1-2
20 May 2023
UD Logrones vs Numancia
1-0
14 May 2023
Numancia vs Eldense
0-0
4 May 2023
Osasuna B vs Numancia
2-1
30 Apr 2023
Numancia vs SD Logrones
1-3
22 Apr 2023
Intercity vs Numancia
1-1
16 Apr 2023
Bilbao Athletic vs Numancia
0-1
9 Apr 2023
Numancia vs Barcelona Atletic
0-0
26 Mar 2023
Numancia vs Real Murcia
1-1
Mallorca recent
29 Nov 2025
Mallorca vs Osasuna
2-2
22 Nov 2025
Villarreal vs Mallorca
2-1
9 Nov 2025
Mallorca vs Getafe
1-0
2 Nov 2025
Real Betis vs Mallorca
3-0
26 Oct 2025
Mallorca vs Levante
1-1
18 Oct 2025
Sevilla vs Mallorca
1-3
4 Oct 2025
Athletic Bilbao vs Mallorca
2-1
27 Sep 2025
Mallorca vs Deportivo Alaves
1-0
24 Sep 2025
Real Sociedad vs Mallorca
1-0
21 Sep 2025
Mallorca vs Atletico Madrid
1-1
Who will win Numancia vs Mallorca?
Frequently asked questions
Who will win Numancia vs Mallorca?
Our model currently leans Home Under 1.5 with about 78% confidence. See free and VIP markets below.
What are the odds for Numancia vs Mallorca?
Odds appear next to unlocked free tips. VIP odds unlock in the app or after full time.
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 28 Oct 2026 00:46 UTC · Insights built from Betting Tips historical predictions · Data quality: insufficient