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Premier League
Referee: Robert Madley
Swansea
S T S T T
0–0
Full-time
Middlesbrough
T U T T 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

Swansea Middlesbrough
Last 6 — all competitions · 6/6 matches
Win Ø 17%
33%
0%
Points per game
1,0
0,3
Over 2.5 Ø 42%
67%
17%
Both score Ø 50%
67%
33%
Average goals
3,2
1,7
Scored
1,3
0,3
Conceded
1,8
1,3
Goal diff per game
-0,5
-1,0
This season — Premier League · 29/28 matches
Win Ø 21%
28%
14%
Points per game
0,9
0,8
Over 2.5 Ø 56%
76%
36%
Both score Ø 53%
62%
43%
Average goals
3,4
1,9
Scored
1,2
0,7
Conceded
2,2
1,2
Goal diff per game
-0,9
-0,5
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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: 0–0

55% Possession 45%
15 Shots 8
3 Shots on target 1
6 Blocked shots 3
1 Goalkeeper saves 3
11 Corners 3
1 Offside 0
9 Free kicks against 16
2 Yellow cards 3
0 Red cards 0
The table before the match Swansea 17. · Middlesbrough 19.
# Team K V U T +/− P
1 Chelsea 29 22 3 4 +37 69
2 Tottenham 29 18 8 3 +36 62
3 Liverpool 30 17 8 5 +27 59
4 Man City 28 17 6 5 +24 57
5 Man United 28 14 11 3 +19 53
6 Arsenal 27 15 5 7 +22 50
7 Everton 30 14 8 8 +19 50
8 West Brom 30 12 8 10 +1 44
9 Stoke 30 9 9 12 -11 36
10 Southampton 28 9 7 12 -3 34
11 Bournemouth 30 9 7 14 -12 34
12 Watford 29 9 7 13 -14 34
13 Leicester 29 9 6 14 -12 33
14 West Ham 30 9 6 15 -13 33
15 Burnley 30 9 5 16 -13 32
16 Crystal Palace 29 9 4 16 -9 31
17 Swansea 29 8 3 18 -27 27
18 Hull 30 7 6 17 -31 27
19 Middlesbrough 28 4 10 14 -13 22
20 Sunderland 29 5 5 19 -27 20

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.

The analysis is a statistical estimate based on the teams' results and underlying performances (xG) — not a guarantee. See the model's results.