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Premier League
Referee: A Taylor
Nott'm Forest
S S S S U
3–2
Full-time
Southampton
T T T S T

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

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

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Team trends

Nott'm Forest Southampton
Last 6 — all competitions · 6/6 matches
Win Ø 50%
83%
17%
Points per game
2,7
0,7
Over 2.5 Ø 42%
17%
67%
Both score Ø 25%
17%
33%
Average goals
2,0
2,7
Scored
1,8
0,8
Conceded
0,2
1,8
Goal diff per game
+1,7
-1,0
xG created Pro
xG conceded Pro
xG diff Pro
This season — Premier League · 21/21 matches
Win Ø 31%
57%
5%
Points per game
2,0
0,3
Over 2.5 Ø 48%
43%
52%
Both score Ø 46%
43%
48%
Average goals
2,4
2,9
Scored
1,4
0,6
Conceded
1,0
2,2
Goal diff per game
+0,5
-1,6
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: 3–0

2,05 xG 0,89
45% Possession 55%
14 Shots 10
5 Shots on target 4
2 Blocked shots 4
1 Goalkeeper saves 1
2 Corners 8
3 Offside 0
4 Free kicks against 18
0 Yellow cards 4
0 Red cards 0
The table before the match Nott'm Forest 3. · Southampton 20.
# Team K V U T +/− xG +/− P
1 Liverpool 21 15 5 1 +30 +31.5 50
2 Arsenal 22 12 8 2 +22 +17.9 44
3 Nott'm Forest 21 12 5 4 +10 +2.4 41
4 Newcastle 22 11 5 6 +12 +10.4 38
5 Chelsea 21 10 7 4 +15 +12.6 37
6 Bournemouth 22 10 7 5 +10 +14.9 37
7 Aston Villa 22 10 6 6 -1 +6.5 36
8 Man City 21 10 5 6 +9 +7.3 35
9 Fulham 22 8 9 5 +4 +5.1 33
10 Brighton 21 7 10 4 +3 -1.6 31
11 Brentford 22 8 4 10 +1 -2.8 28
12 Crystal Palace 22 6 9 7 -3 -0.4 27
13 Man United 21 7 5 9 -3 -0.6 26
14 West Ham 22 7 5 10 -16 -9.1 26
15 Tottenham 21 7 3 11 +11 +1.7 24
16 Everton 20 3 8 9 -11 -8.4 17
17 Wolves 21 4 4 13 -17 -12.4 16
18 Ipswich 21 3 7 11 -17 -23.0 16
19 Leicester 22 3 5 14 -25 -22.7 14
20 Southampton 21 1 3 17 -34 -29.1 6

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.

Match report

Nott'm Forest Southampton
1–0 E. Anderson
M. Gibbs-White
11′
2–0 C. Hudson-Odoi
C. Wood
28′
33′
🟨 Flynn Downes
Jota Silva 🔁
↦ C. Hudson-Odoi
38′
3–0 C. Wood
O. Aina
41′
Half-time 3–0
46′
🔁 L. Ugochukwu
↦ F. Downes
57′
🟨 Kyle Walker-Peters
57′
🔁 R. Manning
↦ Y. Sugawara
58′
🔁 K. Sulemana
↦ C. Archer
58′
🔁 P. Onuachu
↦ A. Armstrong
60′
J. Bednarek 3–1
L. Ugochukwu
Nikola Milenković ℹ️
VAR: Goal cancelled
66′
Morato 🔁
↦ A. Elanga
74′
R. Yates 🔁
↦ N. Domínguez
83′
R. Sosa 🔁
↦ M. Gibbs-White
83′
T. Awoniyi 🔁
↦ C. Wood
83′
86′
🔁 W. Smallbone
↦ J. Bree
91′
P. Onuachu 3–2
Mateus Fernandes
95′
🟨 Joe Aribo
101′
🟨 Lesley Ugochukwu
Full-time 3–2

Line-ups

Nott'm Forest

4-2-3-1
26 M. Sels G
34 O. Aina D
31 N. Milenković D
5 Murillo D
7 N. Williams D
16 N. Domínguez M
8 E. Anderson M
21 A. Elanga M
10 M. Gibbs-White M
14 C. Hudson-Odoi M
11 C. Wood F
Bench (9)
20 Jota Silva
4 Morato
22 R. Yates
24 R. Sosa
9 T. Awoniyi
18 J. Ward-Prowse
33 Carlos Miguel
19 Álex Moreno
30 W. Boly

Coach: Nuno Espírito Santo

Southampton

3-4-1-2
30 A. Ramsdale G
14 J. Bree D
35 J. Bednarek D
6 T. Harwood-Bellis D
16 Y. Sugawara M
4 F. Downes M
7 J. Aribo M
2 K. Walker-Peters M
18 Mateus Fernandes F
19 C. Archer F
9 A. Armstrong F
Bench (9)
26 L. Ugochukwu
3 R. Manning
20 K. Sulemana
32 P. Onuachu
8 W. Smallbone
24 R. Fraser
1 A. McCarthy
15 N. Wood-Gordon
37 A. Bella-Kotchap

Coach: I. Jurić

Odds comparison

Green columns are the outcomes that came in.

1X2
H ✓
1,39
U
4,86
B
8,03
Over/under goals
O1,5 ✓
O2,5 ✓
1,75
U2,5
2,09
O3,5 ✓
Both teams to score
BLS ja ✓
BLS nei

Referee

A Taylor · 215 kamper i vår database

🟨 Yellow cards
3,7 / match
Average
⚽ Free kicks
21,0 / match
Average

🟥 Red cards: 0,16 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.