Rotherham
1 – 0
Full time
Leyton Orient
Rotherham vs Leyton Orient betting tips
Rotherham vs Leyton Orient finished 1-0. Limited historical data available. Strong lean toward Under 3.5 based on recent scoring patterns.
What are the tips for Rotherham vs Leyton Orient?
Over/Under 3.5
Pick: Under 3.5
· Odds 1.27
· Prob 73%
VIP
Won
1X2
Pick: Final Time 1X
· Odds 1.35
· Prob 71%
VIP
Won
Home Over/Under 1.5
Pick: Home Under 1.5
· Prob 62%
VIP
Won
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
Rotherham recent
1 Mar 2025
Bristol Rovers vs Rotherham
2-3
22 Feb 2025
Rotherham vs Barnsley
0-1
15 Feb 2025
Reading vs Rotherham
2-1
11 Feb 2025
Blackpool vs Rotherham
0-0
8 Feb 2025
Rotherham vs Shrewsbury
1-2
28 Jan 2025
Rotherham vs Cambridge United
2-1
25 Jan 2025
Burton Albion vs Rotherham
4-2
18 Jan 2025
Rotherham vs Charlton
4-2
1 Jan 2025
Lincoln vs Rotherham
0-1
Leyton Orient recent
1 Mar 2025
Leyton Orient vs Charlton
1-2
25 Feb 2025
Birmingham vs Leyton Orient
2-0
22 Feb 2025
Bolton vs Leyton Orient
2-1
15 Feb 2025
Leyton Orient vs Lincoln
3-2
11 Feb 2025
Leyton Orient vs Mansfield
3-0
28 Jan 2025
Exeter vs Leyton Orient
2-6
25 Jan 2025
Leyton Orient vs Reading
2-0
18 Jan 2025
Peterborough vs Leyton Orient
0-0
4 Jan 2025
Leyton Orient vs Shrewsbury
1-0
Who will win Rotherham vs Leyton Orient?
Frequently asked questions
Who will win Rotherham vs Leyton Orient?
Our model currently leans Under 3.5 with about 73% confidence. See free and VIP markets below.
What are the odds for Rotherham vs Leyton Orient?
The featured free market shows odds around 1.27 (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 29 Oct 2026 01:50 UTC · Insights built from Betting Tips historical predictions · Data quality: insufficient