← Match Finder
Premier League
Referee: A Madley
Brentford
S T S T U
5–3
Full-time
Wolves
U T T T T

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.

Unlock with Pro

Already have an account? Log in

Team trends

Brentford Wolves
Last 6 — all competitions · 6/6 matches
Win Ø 34%
50%
17%
Points per game
1,7
0,7
Over 2.5 Ø 67%
67%
67%
Both score Ø 83%
83%
83%
Average goals
3,0
3,2
Scored
1,7
1,3
Conceded
1,3
1,8
Goal diff per game
+0,3
-0,5
xG created Pro
xG conceded Pro
xG diff Pro
This season — Premier League · 6/6 matches
Win Ø 17%
33%
0%
Points per game
1,2
0,2
Over 2.5 Ø 67%
67%
67%
Both score Ø 83%
83%
83%
Average goals
3,0
3,7
Scored
1,3
1,0
Conceded
1,7
2,7
Goal diff per game
-0,3
-1,7
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.

Unlock with Pro

Already have an account? Log in

🔒 Most likely result Pro

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

Unlock with Pro

Already have an account? Log in

Match stats

Half-time score: 4–2

4,25 xG 1,05
44% Possession 56%
19 Shots 17
12 Shots on target 6
3 Blocked shots 4
3 Goalkeeper saves 7
10 Corners 3
5 Offside 1
9 Free kicks against 10
2 Yellow cards 3
0 Red cards 0
The table before the match Brentford 12. · Wolves 20.
# Team K V U T +/− xG +/− P
1 Liverpool 7 6 0 1 +11 +9.1 18
2 Man City 6 4 2 0 +8 +7.1 14
3 Arsenal 6 4 2 0 +7 +3.4 14
4 Chelsea 6 4 1 1 +8 +5.2 13
5 Aston Villa 6 4 1 1 +3 +3.2 13
6 Fulham 6 3 2 1 +3 +1.7 11
7 Newcastle 6 3 2 1 +1 -1.3 11
8 Tottenham 6 3 1 2 +7 +7.3 10
9 Brighton 6 2 3 1 +2 -0.8 9
10 Nott'm Forest 6 2 3 1 +1 +2.1 9
11 Bournemouth 6 2 2 2 -1 +1.5 8
12 Brentford 6 2 1 3 -2 -5.2 7
13 Man United 6 2 1 3 -3 -0.5 7
14 West Ham 6 1 2 3 -4 -3.3 5
15 Ipswich 6 0 4 2 -5 -7.5 4
16 Everton 6 1 1 4 -8 -3.5 4
17 Leicester 6 0 3 3 -4 -8.5 3
18 Crystal Palace 7 0 3 4 -5 -2.4 3
19 Southampton 6 0 1 5 -9 -3.5 1
20 Wolves 6 0 1 5 -10 -4.2 1

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

Brentford Wolves
1–0 N. Collins
M. Damsgaard
2′
4′
Matheus Cunha 1–1
Nélson Semedo
Nathan Collins ℹ️
VAR: Penalty confirmed
19′
2–1 B. Mbeumo
20′
26′
J. Strand Larsen 2–2
R. Aït-Nouri
3–2 C. Nørgaard
V. Janelt
28′
42′
🟨 Craig Dawson
Half-time 4–2
4–2 E. Pinnock
M. Damsgaard
47′
Kristoffer Ajer 🟨
55′
55′
🟨 Carlos Borges
57′
🔁 Hwang Hee-Chan
↦ André
68′
🔁 Gonçalo Guedes
↦ Carlos Forbs
70′
🟨 Nélson Semedo
Fábio Carvalho 🔁
↦ K. Schade
77′
Y. Yarmoliuk 🔁
↦ C. Nørgaard
77′
77′
🔁 J. Bellegarde
↦ João Gomes
Vitaly Janelt 🟨
87′
5–2 Fábio Carvalho
90′
Y. Konak 🔁
↦ M. Damsgaard
92′
M. Roerslev 🔁
↦ K. Ajer
92′
93′
R. Aït-Nouri 5–3
J. Bellegarde
Full-time 5–3

Line-ups

Brentford

4-2-3-1
1 M. Flekken G
4 S. van den Berg D
22 N. Collins D
5 E. Pinnock D
20 K. Ajer D
27 V. Janelt M
6 C. Nørgaard M
19 B. Mbeumo M
24 M. Damsgaard M
23 K. Lewis-Potter M
7 K. Schade F
Bench (9)
14 Fábio Carvalho
18 Y. Yarmoliuk
26 Y. Konak
30 M. Roerslev
28 R. Trevitt
21 J. Meghoma
36 Kim Ji-Soo
12 H. Valdimarsson
16 B. Mee

Coach: T. Frank

Wolves

4-1-4-1
31 S. Johnstone G
22 Nélson Semedo D
15 C. Dawson D
24 Toti Gomes D
3 R. Aït-Nouri D
7 André M
26 Carlos Forbs M
5 M. Lemina M
8 João Gomes M
10 Matheus Cunha M
9 J. Strand Larsen F
Bench (9)
11 Hwang Hee-Chan
29 Gonçalo Guedes
27 J. Bellegarde
20 T. Doyle
1 José Sá
19 Rodrigo Gomes
21 Pablo Sarabia
2 M. Doherty
4 S. Bueno

Coach: G. O'Neil

Odds comparison

Green columns are the outcomes that came in.

1X2
H ✓
2,09
U
3,64
B
3,47
Over/under goals
O1,5 ✓
O2,5 ✓
1,78
U2,5
2,08
O3,5 ✓
Both teams to score
BLS ja ✓
BLS nei

Referee

A Madley · 167 kamper i vår database

🟨 Yellow cards
3,3 / match
Average
⚽ Free kicks
23,3 / match
Above average

🟥 Red cards: 0,14 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.