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Championship
Referee: M Salisbury
Ipswich
S S T S S
3–2
Full-time
Southampton
T T S S U

Retrospective analysis — the model is trained only on matches played before this one.

🔒 Who wins? Pro

The model's probabilities for a home win, draw and away win — with reasoning and recommended markets.

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Team trends

Ipswich Southampton
Last 6 — all competitions · 6/6 matches
Win Ø 58%
83%
33%
Points per game
2,5
1,2
Over 2.5 Ø 75%
67%
83%
Both score Ø 67%
50%
83%
Average goals
3,5
4,0
Scored
2,7
1,8
Conceded
0,8
2,2
Goal diff per game
+1,8
-0,3
xG created Pro
xG conceded Pro
xG diff Pro
This season — Championship · 39/35 matches
Win Ø 61%
64%
57%
Points per game
2,2
1,9
Over 2.5 Ø 64%
64%
63%
Both score Ø 66%
62%
69%
Average goals
3,3
3,3
Scored
2,1
2,0
Conceded
1,3
1,3
Goal diff per game
+0,8
+0,7
xG created Pro
xG conceded Pro
xG diff Pro
🔒 Goal markets Pro

Expected goals, over/under and both teams to score — priced by the model before kick-off.

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🔒 Most likely result Pro

The model's top final scores with the best bookmaker odds.

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Match stats

Half-time score: 1–2

0,95 xG 1,34
35% Possession 65%
13 Shots 17
6 Shots on target 8
3 Blocked shots 3
4 Goalkeeper saves 3
0 Corners 7
1 Offside 3
14 Free kicks against 12
3 Yellow cards 1
0 Red cards 1
The table before the match Ipswich 2. · Southampton 5.
# Team K V U T +/− xG +/− P
1 Leicester 39 27 4 8 +42 +32.0 85
2 Ipswich 39 25 9 5 +32 +23.6 84
3 Leeds 37 23 8 6 +40 +32.4 77
4 West Brom 38 19 11 8 +26 +5.9 68
5 Southampton 35 20 8 7 +23 +28.1 68
6 Norwich 38 19 7 12 +16 +0.3 64
7 Coventry 39 16 12 11 +17 +11.7 60
8 Preston 39 17 8 14 -3 -11.7 59
9 Hull 38 16 10 12 +5 +6.0 58
10 Middlesbrough 40 17 7 16 +3 +13.0 58
11 Cardiff 40 17 5 18 -9 -22.8 56
12 Bristol City 40 15 8 17 -1 -2.6 53
13 Sunderland 40 15 6 19 +1 +6.4 51
14 Watford 40 12 14 14 +2 +1.0 50
15 Swansea 40 12 11 17 -11 -9.0 47
16 QPR 40 12 10 18 -12 -6.1 46
17 Blackburn 40 12 9 19 -10 -4.9 45
18 Stoke 40 12 9 19 -16 -3.1 45
19 Millwall 40 11 11 18 -15 -11.1 44
20 Birmingham 40 11 9 20 -17 -8.2 42
21 Plymouth 40 10 11 19 -10 -18.8 41
22 Huddersfield 40 8 16 16 -21 -11.0 40
23 Sheffield Weds 40 11 6 23 -33 -10.6 39
24 Rotherham 40 4 11 25 -49 -40.3 23

Calculated from our results data. “xG +/−” is expected goal difference — a positive number with a low league position suggests an undervalued team. Ties on points are sorted by goal difference; some leagues use other rules.

Recent head-to-head meetings

19. Sep -23 Southampton – Ipswich 0–1

Match report

Ipswich Southampton
Conor Chaplin 🟨
-5′
1–0 L. Davis
Sam Morsy
13′
14′
C. Adams 1–1
J. Aribo
Sam Morsy 🟨
16′
23′
A. Armstrong 1–2
S. Armstrong
Ali Al Hamadi 🔁
↦ K. Moore
36′
Half-time 1–2
N. Broadhead 🔁
↦ K. Jackson
61′
H. Clarke 🔁
↦ A. Tuanzebe
61′
J. Taylor 🔁
↦ M. Luongo
61′
2–2 N. Broadhead
J. Taylor
68′
Jack Taylor 🟨
70′
71′
🔁 D. Brooks
↦ R. Fraser
77′
🔁 S. Edozie
↦ C. Adams
82′
🔁 W. Smallbone
↦ S. Armstrong
82′
🔁 J. Rothwell
↦ J. Aribo
85′
🟥 James Bree
J. Sarmiento 🔁
↦ C. Chaplin
89′
95′
🟨 Jan Bednarek
3–2 J. Sarmiento
L. Davis
97′
Full-time 3–2

Line-ups

Ipswich

4-2-3-1
31 V. Hladký G
40 A. Tuanzebe D
6 L. Woolfenden D
15 C. Burgess D
3 L. Davis D
5 Sam Morsy M
25 M. Luongo M
19 K. Jackson M
10 C. Chaplin M
20 O. Hutchinson M
24 K. Moore F
Bench (9)
16 Ali Al Hamadi
33 N. Broadhead
2 H. Clarke
14 J. Taylor
21 J. Sarmiento
1 C. Walton
28 L. Travis
4 G. Edmundson
11 M. Harness

Coach: K. McKenna

Southampton

4-3-3
31 G. Bazunu G
14 J. Bree D
21 T. Harwood-Bellis D
35 J. Bednarek D
5 J. Stephens D
7 J. Aribo M
4 F. Downes M
17 S. Armstrong M
9 A. Armstrong F
10 C. Adams F
26 R. Fraser F
Bench (9)
36 D. Brooks
23 S. Edozie
16 W. Smallbone
19 J. Rothwell
3 R. Manning
20 K. Sulemana
13 J. Lumley
2 K. Walker-Peters
18 S. Mara

Coach: R. Martin

Odds comparison

Green columns are the outcomes that came in.

1X2
H ✓
2,47
U
3,71
B
2,62
Over/under goals
O1,5 ✓
O2,5 ✓
1,56
U2,5
2,42
O3,5 ✓
Both teams to score
BLS ja ✓
BLS nei

Referee

M Salisbury · 127 kamper i vår database

🟨 Yellow cards
3,3 / match
Average
⚽ Free kicks
22,3 / match
Average

🟥 Red cards: 0,15 per match

The analysis is a statistical estimate based on the teams' results and underlying performances (xG) — not a guarantee. See the model's results.