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Premier League
Referee: S Barrott
Wolves
S S S S S
3–0
Full-time
Leicester
T T T U 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

Wolves Leicester
Last 6 — all competitions · 6/6 matches
Win Ø 42%
83%
0%
Points per game
2,7
0,2
Over 2.5 Ø 50%
50%
50%
Both score Ø 42%
67%
17%
Average goals
2,7
2,3
Scored
1,8
0,3
Conceded
0,8
2,0
Goal diff per game
+1,0
-1,7
xG created Pro
xG conceded Pro
xG diff Pro
This season — Premier League · 33/33 matches
Win Ø 23%
33%
12%
Points per game
1,2
0,5
Over 2.5 Ø 67%
70%
64%
Both score Ø 58%
64%
52%
Average goals
3,3
3,0
Scored
1,5
0,8
Conceded
1,8
2,2
Goal diff per game
-0,4
-1,4
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: 1–0

2,02 xG 1,15
56% Possession 44%
20 Shots 8
6 Shots on target 2
6 Blocked shots 3
2 Goalkeeper saves 2
4 Corners 2
0 Offside 3
7 Free kicks against 17
1 Yellow cards 4
0 Red cards 0
The table before the match Wolves 15. · Leicester 19.
# Team K V U T +/− xG +/− P
1 Liverpool 33 24 7 2 +44 +44.9 79
2 Arsenal 34 18 13 3 +34 +25.3 67
3 Man City 34 18 7 9 +23 +16.5 61
4 Chelsea 34 17 9 8 +19 +19.5 60
5 Nott'm Forest 33 18 6 9 +14 -2.4 60
6 Newcastle 33 18 5 10 +18 +13.0 59
7 Aston Villa 34 16 9 9 +5 +8.1 57
8 Bournemouth 33 13 10 10 +12 +17.2 49
9 Fulham 33 13 9 11 +3 +3.5 48
10 Brighton 33 12 12 9 +0 +4.6 48
11 Brentford 33 13 7 13 +6 -0.4 46
12 Crystal Palace 34 11 12 11 -4 +6.9 45
13 Everton 34 8 14 12 -7 -5.7 38
14 Man United 33 10 8 15 -8 -5.2 38
15 Wolves 33 11 5 17 -13 -13.5 38
16 Tottenham 33 11 4 18 +10 +0.9 37
17 West Ham 33 9 9 15 -18 -11.3 36
18 Ipswich 33 4 9 20 -38 -37.4 21
19 Leicester 33 4 6 23 -46 -38.5 18
20 Southampton 33 2 5 26 -54 -46.2 11

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

Wolves Leicester
Toti Gomes 🟨
16′
1–0 Matheus Cunha
R. Aït-Nouri
33′
Half-time 1–0
46′
🔁 J. Ayew
↦ B. De Cordova-Reid
46′
🔁 J. Justin
↦ Ricardo Pereira
46′
🔁 O. Skipp
↦ B. Soumaré
46′
🔁 K. McAteer
↦ F. Buonanotte
48′
🟨 Wout Faes
2–0 J. Strand Larsen
Matheus Cunha
56′
61′
🟨 Kasey McAteer
65′
🟨 Wilfred Ndidi
72′
Jamie Vardy
penalty missed
Rodrigo Gomes 🔁
↦ J. Strand Larsen
77′
Pablo Sarabia 🔁
↦ R. Aït-Nouri
77′
81′
🟨 Oliver Skipp
83′
🔁 J. Monga
↦ B. El Khannouss
J. Bellegarde 🔁
↦ André
84′
S. Bueno 🔁
↦ M. Doherty
84′
3–0 Rodrigo Gomes
Matheus Cunha
85′
Gonçalo Guedes 🔁
↦ Nélson Semedo
89′
Carlos Forbs 🔁
↦ Matheus Cunha
89′
Full-time 3–0

Line-ups

Wolves

3-4-2-1
1 José Sá G
2 M. Doherty D
12 E. Agbadou D
24 Toti Gomes D
22 Nélson Semedo M
8 João Gomes M
7 André M
3 R. Aït-Nouri M
5 M. Munetsi F
10 Matheus Cunha F
9 J. Strand Larsen F
Bench (9)
19 Rodrigo Gomes
21 Pablo Sarabia
27 J. Bellegarde
4 S. Bueno
29 Gonçalo Guedes
26 Carlos Forbs
25 D. Bentley
34 N. Djiga
11 Hwang Hee-Chan

Coach: Vítor Pereira

Leicester

4-2-3-1
30 M. Hermansen G
21 Ricardo Pereira D
3 W. Faes D
4 C. Coady D
33 L. Thomas D
6 W. Ndidi M
24 B. Soumaré M
40 F. Buonanotte M
11 B. El Khannouss M
14 B. De Cordova-Reid M
9 J. Vardy F
Bench (9)
18 J. Ayew
2 J. Justin
22 O. Skipp
35 K. McAteer
93 J. Monga
20 P. Daka
5 C. Okoli
16 V. Kristiansen
41 J. Stolarczyk

Coach: R. van Nistelrooij

Odds comparison

Green columns are the outcomes that came in.

1X2
H ✓
1,51
U
4,38
B
6,24
Over/under goals
O1,5 ✓
O2,5 ✓
1,75
U2,5
2,09
U3,5 ✓
Both teams to score
BLS ja
BLS nei ✓

Referee

S Barrott · 111 kamper i vår database

🟨 Yellow cards
3,5 / match
Average
⚽ Free kicks
20,4 / match
Average

🟥 Red cards: 0,06 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.