Betting 
Charlton
1 – 5
Full time
Southampton
Charlton vs Southampton betting tips
Charlton vs Southampton finished 1-5. Limited historical data available. Strong lean toward Under 3.5 based on recent scoring patterns.
What are the tips for Charlton vs Southampton?
Over/Under 3.5
Pick: Under 3.5
· Odds 1.23
· Prob 73%
VIP
Lost
1X2
Pick: Final Time 1X
· Odds 1.44
· Prob 73%
VIP
Lost
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
Charlton recent
8 Nov 2025
Wrexham vs Charlton
1-0
4 Nov 2025
Charlton vs West Bromwich
1-0
1 Nov 2025
Charlton vs Swansea
1-1
25 Oct 2025
Hull City vs Charlton
1-1
21 Oct 2025
Ipswich vs Charlton
0-3
4 Oct 2025
Preston vs Charlton
2-0
30 Sep 2025
Derby County vs Charlton
1-1
27 Sep 2025
Charlton vs Blackburn
3-0
20 Sep 2025
Sheffield United vs Charlton
0-1
13 Sep 2025
Charlton vs Millwall
1-1
Southampton recent
8 Nov 2025
Southampton vs Sheffield Wednesday
3-1
5 Nov 2025
Queens Park Rangers vs Southampton
1-2
1 Nov 2025
Southampton vs Preston
0-2
25 Oct 2025
Blackburn vs Southampton
2-1
21 Oct 2025
Bristol City vs Southampton
3-1
18 Oct 2025
Southampton vs Swansea
0-0
4 Oct 2025
Derby County vs Southampton
1-1
30 Sep 2025
Sheffield United vs Southampton
1-2
27 Sep 2025
Southampton vs Middlesbrough
1-1
20 Sep 2025
Hull City vs Southampton
3-1
Who will win Charlton vs Southampton?
Frequently asked questions
Who will win Charlton vs Southampton?
Our model currently leans Under 3.5 with about 73% confidence. See free and VIP markets below.
What are the odds for Charlton vs Southampton?
The featured free market shows odds around 1.23 (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 23:11 UTC · Insights built from Betting Tips historical predictions · Data quality: insufficient