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Premier League
Referee: A Marriner
Wolves
S U S T S
1–3
Full-time
Man City
S S S S S

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

Wolves Man City
Last 6 — all competitions · 6/6 matches
Win Ø 67%
50%
83%
Points per game
1,7
2,5
Over 2.5 Ø 50%
17%
83%
Both score Ø 17%
17%
17%
Average goals
2,0
3,8
Scored
1,3
3,5
Conceded
0,7
0,3
Goal diff per game
+0,7
+3,2
🔒 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: 0–2

34% Possession 66%
10 Shots 14
1 Shots on target 9
4 Blocked shots 2
6 Goalkeeper saves 0
4 Corners 6
2 Offside 3
6 Free kicks against 8
0 Yellow cards 3
0 Red cards 0
The table before the match
# Team K V U T +/− P
1 Leicester 2 2 0 0 +5 6
2 Everton 2 2 0 0 +4 6
3 Arsenal 2 2 0 0 +4 6
4 Liverpool 2 2 0 0 +3 6
5 Crystal Palace 2 2 0 0 +3 6
6 Tottenham 2 1 0 1 +2 3
7 Wolves 1 1 0 0 +2 3
8 Brighton 2 1 0 1 +1 3
9 Aston Villa 1 1 0 0 +1 3
10 Leeds 2 1 0 1 +0 3
11 Chelsea 2 1 0 1 +0 3
12 Newcastle 2 1 0 1 -1 3
13 Burnley 1 0 0 1 -2 0
14 Man United 1 0 0 1 -2 0
15 West Ham 2 0 0 2 -3 0
16 Sheffield United 2 0 0 2 -3 0
17 Fulham 2 0 0 2 -4 0
18 Southampton 2 0 0 2 -4 0
19 West Brom 2 0 0 2 -6 0

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.

Odds comparison

Green columns are the outcomes that came in.

1X2
H
6,11
U
4,35
B ✓
1,54
Over/under goals
O1,5 ✓
O2,5 ✓
1,70
U2,5
2,18
O3,5 ✓
Both teams to score
BLS ja ✓
BLS nei

Referee

A Marriner · 74 kamper i vår database

🟨 Yellow cards
3,0 / match
Below average
⚽ Free kicks
18,9 / match
Average

🟥 Red cards: 0,08 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.