Betting 
Gateshead
1 – 1
Full time
Fylde
Gateshead vs Fylde betting tips
Gateshead vs Fylde finished 1-1. Limited historical data available. Strong lean toward Home Over 0.5 based on this side's recent goal averages.
What are the tips for Gateshead vs Fylde?
Home to Score
Pick: Home Over 0.5
· Prob 84%
VIP
Won
Away Over/Under 1.5
Pick: Away Under 1.5
· Prob 76%
VIP
Won
Home Over/Under 1.5
Pick: Home Over 1.5
· Prob 65%
VIP
Lost
Over/Under 2.5
Pick: Over 2.5
· Odds 1.35
· Prob 58%
VIP
Lost
1X2
Pick: Final Time 1
· Odds 1.35
· Prob 55%
VIP
Lost
Match insights: form, goals and model lean
Limited historical data available. Strong lean toward Home Over 0.5 based on this side's recent goal averages.
Previous meetings and recent results
Head to head
Gateshead recent
25 Feb 2025
Eastleigh vs Gateshead
1-1
22 Feb 2025
Solihull Moors vs Gateshead
1-3
18 Feb 2025
Gateshead vs Sutton United
4-3
15 Feb 2025
Gateshead vs Altrincham
0-1
8 Feb 2025
Wealdstone vs Gateshead
0-4
25 Jan 2025
Gateshead vs Oldham
1-1
17 Jan 2025
Yeovil vs Gateshead
0-0
14 Jan 2025
Gateshead vs Halifax
1-3
1 Jan 2025
York City vs Gateshead
1-0
Fylde recent
22 Feb 2025
Altrincham vs Fylde
1-2
15 Feb 2025
Fylde vs Dagenham and Redbridge
1-1
4 Feb 2025
Halifax vs Fylde
1-2
28 Jan 2025
Southend vs Fylde
2-0
25 Jan 2025
Fylde vs Wealdstone
2-0
18 Jan 2025
Maidenhead United vs Fylde
4-1
21 Dec 2024
Solihull Moors vs Fylde
4-1
14 Dec 2024
Fylde vs Eastleigh
2-2
10 Dec 2024
Fylde vs Ebbsfleet United
2-0
Who will win Gateshead vs Fylde?
Frequently asked questions
Who will win Gateshead vs Fylde?
Our model currently leans Home Over 0.5 with about 84% confidence. See free and VIP markets below.
What are the odds for Gateshead vs Fylde?
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 3 Nov 2026 07:59 UTC · Insights built from Betting Tips historical predictions · Data quality: insufficient