Boreham Wood
4 – 0
Full time
Fylde
Boreham Wood vs Fylde betting tips
Boreham Wood vs Fylde finished 4-0. Limited historical data available. Strong lean toward Home Over 0.5 based on this side's recent goal averages.
What are the tips for Boreham Wood vs Fylde?
Home to Score
Pick: Home Over 0.5
· Prob 82%
VIP
Won
Over/Under 2.5
Pick: Over 2.5
· Odds 1.27
· Prob 61%
VIP
Won
1X2
Pick: Final Time 1
· Odds 1.35
· Prob 54%
VIP
Won
Both Teams To Score
Pick: BTTS Yes
· Odds 1.44
· Prob 52%
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
Boreham Wood recent
17 Oct 2026
Boreham Wood vs Woking
3-2
9 Oct 2026
Sutton United vs Boreham Wood
0-2
3 Oct 2026
Boreham Wood vs Altrincham
3-1
29 Sep 2026
Boreham Wood vs Kidderminster
3-1
26 Sep 2026
Solihull Moors vs Boreham Wood
0-3
16 Sep 2026
Scunthorpe vs Boreham Wood
1-2
12 Sep 2026
Eastleigh vs Boreham Wood
1-1
27 Aug 2026
Boreham Wood vs Boston United
2-1
22 Aug 2026
Forest Green vs Boreham Wood
0-3
Fylde recent
10 Oct 2026
Fylde vs Scunthorpe
2-0
3 Oct 2026
Southend vs Fylde
3-1
29 Sep 2026
Fylde vs Carlisle
0-2
26 Sep 2026
Boston United vs Fylde
0-1
19 Sep 2026
Fylde vs Altrincham
1-2
15 Sep 2026
Harrogate Town vs Fylde
1-2
12 Sep 2026
Yeovil vs Fylde
1-4
31 Aug 2026
Solihull Moors vs Fylde
1-3
28 Aug 2026
Fylde vs Forest Green
2-0
22 Aug 2026
Woking vs Fylde
3-2
Who will win Boreham Wood vs Fylde?
Frequently asked questions
Who will win Boreham Wood vs Fylde?
Our model currently leans Home Over 0.5 with about 82% confidence. See free and VIP markets below.
What are the odds for Boreham Wood 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 26 Oct 2026 13:09 UTC · Insights built from Betting Tips historical predictions · Data quality: insufficient