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Premier League
Referee: Jonathan Moss
Leicester
S S S S T
2–2
Full-time
Man United
S S T 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

Leicester Man United
Last 6 — all competitions · 6/6 matches
Win Ø 75%
67%
83%
Points per game
2,2
2,5
Over 2.5 Ø 67%
67%
67%
Both score Ø 67%
67%
67%
Average goals
3,2
3,0
Scored
1,8
2,0
Conceded
1,3
1,0
Goal diff per game
+0,5
+1,0
This season — Premier League · 18/18 matches
Win Ø 56%
39%
72%
Points per game
1,4
2,3
Over 2.5 Ø 56%
50%
61%
Both score Ø 50%
61%
39%
Average goals
2,9
2,8
Scored
1,5
2,2
Conceded
1,4
0,7
Goal diff per game
+0,1
+1,5
🔒 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: 1–1

49% Possession 51%
11 Shots 19
3 Shots on target 6
5 Blocked shots 4
4 Goalkeeper saves 1
4 Corners 6
0 Offside 5
19 Free kicks against 8
4 Yellow cards 2
1 Red cards 0
The table before the match Leicester 8. · Man United 2.
# Team K V U T +/− P
1 Man City 19 18 1 0 +48 55
2 Man United 18 13 2 3 +27 41
3 Chelsea 19 12 3 4 +18 39
4 Liverpool 19 9 8 2 +18 35
5 Tottenham 19 10 4 5 +16 34
6 Arsenal 19 10 4 5 +11 34
7 Burnley 19 9 5 5 +1 32
8 Leicester 18 7 5 6 +1 26
9 Everton 19 7 5 7 -6 26
10 Watford 19 6 4 9 -7 22
11 Huddersfield 19 6 4 9 -14 22
12 Brighton 19 5 6 8 -8 21
13 Southampton 19 4 7 8 -7 19
14 Stoke 19 5 4 10 -18 19
15 Newcastle 19 5 3 11 -10 18
16 Crystal Palace 19 4 6 9 -13 18
17 West Ham 19 4 5 10 -16 17
18 Bournemouth 19 4 4 11 -13 16
19 West Brom 19 2 8 9 -13 14
20 Swansea 19 3 4 12 -15 13

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.