Betting 
Bohemians
1 – 2
Full time
Waterford
Bohemians vs Waterford betting tips
Bohemians vs Waterford finished 1-2. Limited historical data available. Strong lean toward Away Under 1.5 based on this side's recent goal averages.
What are the tips for Bohemians vs Waterford?
Away Over/Under 1.5
Pick: Away Under 1.5
· Prob 74%
VIP
Lost
1X2
Pick: Final Time 1
· Odds 1.51
· Prob 48%
VIP
Lost
Match insights: form, goals and model lean
Limited historical data available. Strong lean toward Away Under 1.5 based on this side's recent goal averages.
Previous meetings and recent results
Bohemians recent
25 Apr 2025
Bohemians vs St Patrick's Athletic
2-1
21 Apr 2025
Shamrock Rovers vs Bohemians
2-3
18 Apr 2025
Bohemians vs Cork City
1-0
11 Apr 2025
Shelbourne vs Bohemians
1-0
4 Apr 2025
Bohemians vs Sligo Rovers
4-2
28 Mar 2025
Bohemians vs Galway United FC
0-2
14 Mar 2025
St Patrick's Athletic vs Bohemians
3-0
7 Mar 2025
Waterford vs Bohemians
0-3
3 Mar 2025
Bohemians vs Drogheda United
0-1
28 Feb 2025
Cork City vs Bohemians
2-1
Waterford recent
25 Apr 2025
Waterford vs Derry City
2-1
21 Apr 2025
Cork City vs Waterford
2-1
18 Apr 2025
Waterford vs Sligo Rovers
0-4
11 Apr 2025
Shamrock Rovers vs Waterford
2-0
4 Apr 2025
Drogheda United vs Waterford
2-0
28 Mar 2025
Waterford vs St Patrick's Athletic
1-2
7 Mar 2025
Waterford vs Bohemians
0-3
3 Mar 2025
Waterford vs Cork City
2-1
28 Feb 2025
Derry City vs Waterford
1-2
15 Feb 2025
Sligo Rovers vs Waterford
2-3
Who will win Bohemians vs Waterford?
Frequently asked questions
Who will win Bohemians vs Waterford?
Our model currently leans Away Under 1.5 with about 74% confidence. See free and VIP markets below.
What are the odds for Bohemians vs Waterford?
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 6 Nov 2026 20:57 UTC · Insights built from Betting Tips historical predictions · Data quality: insufficient