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Premier League
Referee: Kevin Friend
Newcastle
T U T S T
1–1
Full-time
Wolves
T U 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

Newcastle Wolves
Last 6 — all competitions · 6/6 matches
Win Ø 25%
17%
33%
Points per game
0,8
1,3
Over 2.5 Ø 33%
33%
33%
Both score Ø 50%
33%
67%
Average goals
2,2
3,3
Scored
0,5
1,7
Conceded
1,7
1,7
Goal diff per game
-1,2
+0,0
This season — Premier League · 9/9 matches
Win Ø 22%
22%
22%
Points per game
0,9
1,2
Over 2.5 Ø 28%
33%
22%
Both score Ø 50%
33%
67%
Average goals
2,1
2,7
Scored
0,6
1,3
Conceded
1,6
1,3
Goal diff per game
-1,0
+0,0
🔒 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

43% Possession 57%
13 Shots 13
2 Shots on target 5
4 Blocked shots 3
4 Goalkeeper saves 1
3 Corners 6
1 Offside 1
8 Free kicks against 15
2 Yellow cards 2
1 Red cards 0
The table before the match Newcastle 17. · Wolves 13.
# Team K V U T +/− P
1 Liverpool 9 8 1 0 +14 25
2 Man City 10 7 1 2 +23 22
3 Leicester 10 6 2 2 +17 20
4 Chelsea 10 6 2 2 +7 20
5 Arsenal 9 4 3 2 +1 15
6 Crystal Palace 9 4 2 3 -2 14
7 Sheffield United 10 3 4 3 +1 13
8 Bournemouth 10 3 4 3 +0 13
9 West Ham 10 3 4 3 -2 13
10 Tottenham 9 3 3 3 +2 12
11 Burnley 10 3 3 4 -1 12
12 Brighton 10 3 3 4 -2 12
13 Wolves 9 2 5 2 +0 11
14 Aston Villa 10 3 2 5 -1 11
15 Man United 9 2 4 3 +1 10
16 Everton 10 3 1 6 -6 10
17 Newcastle 9 2 2 5 -9 8
18 Southampton 10 2 2 6 -16 8
19 Norwich 9 2 1 6 -11 7
20 Watford 10 0 5 5 -16 5

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
3,02
U ✓
3,09
B
2,59
Over/under goals
O1,5 ✓
O2,5
2,49
U2,5 ✓
1,54
U3,5 ✓
Both teams to score
BLS ja ✓
BLS nei

Referee

Kevin Friend · 127 kamper i vår database

🟨 Yellow cards
3,4 / match
Average
⚽ Free kicks
17,2 / match
Below average

🟥 Red cards: 0,12 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.