Betting 
Leyton Orient
1 – 1
Full time
Luton
Leyton Orient vs Luton betting tips
Leyton Orient vs Luton finished 1-1. Limited historical data available. Strong model confidence for Final Time 12. Consider this a high-confidence pick.
What are the tips for Leyton Orient vs Luton?
1X2
Pick: Final Time 12
· Odds 1.31
· Prob 72%
VIP
Lost
Both Teams To Score
Pick: BTTS Yes
· Odds 1.73
· Prob 51%
VIP
Won
Match insights: form, goals and model lean
Limited historical data available. Strong model confidence for Final Time 12. Consider this a high-confidence pick.
Previous meetings and recent results
Head to head
Leyton Orient recent
5 Dec 2025
Salford City vs Leyton Orient
4-0
2 Dec 2025
Leyton Orient vs Plymouth
0-1
29 Nov 2025
Burton Albion vs Leyton Orient
0-4
22 Nov 2025
Leyton Orient vs Blackpool
1-1
15 Nov 2025
Leyton Orient vs Exeter
2-1
8 Nov 2025
Wycombe vs Leyton Orient
4-1
3 Nov 2025
Tamworth vs Leyton Orient
0-1
25 Oct 2025
Leyton Orient vs Lincoln
1-0
18 Oct 2025
Rotherham vs Leyton Orient
1-0
11 Oct 2025
Leyton Orient vs Doncaster
4-0
Luton recent
6 Dec 2025
Fleetwood vs Luton
2-2
29 Nov 2025
Luton vs Bolton
1-1
25 Nov 2025
Luton vs Huddersfield
2-1
22 Nov 2025
Barnsley vs Luton
5-0
15 Nov 2025
Luton vs Rotherham
0-0
8 Nov 2025
Stockport vs Luton
0-3
31 Oct 2025
Luton vs Forest Green
4-3
25 Oct 2025
Northampton vs Luton
0-1
30 Sep 2025
Blackpool vs Luton
2-2
27 Sep 2025
Luton vs Doncaster
1-0
Who will win Leyton Orient vs Luton?
Frequently asked questions
Who will win Leyton Orient vs Luton?
Our model currently leans Final Time 12 with about 72% confidence. See free and VIP markets below.
What are the odds for Leyton Orient vs Luton?
The featured free market shows odds around 1.31 (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 28 Oct 2026 08:12 UTC · Insights built from Betting Tips historical predictions · Data quality: insufficient