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Bundesliga
Referee: Christian Dingert
M'gladbach
S T U T U
1–1
Full-time
Leverkusen
T 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

M'gladbach Leverkusen
Last 6 — all competitions · 6/6 matches
Win Ø 42%
17%
67%
Points per game
0,8
2,0
Over 2.5 Ø 50%
50%
50%
Both score Ø 25%
33%
17%
Average goals
2,8
2,3
Scored
1,0
1,7
Conceded
1,8
0,7
Goal diff per game
-0,8
+1,0
xG created Pro
xG conceded Pro
xG diff Pro
This season — Bundesliga · 20/19 matches
Win Ø 42%
25%
58%
Points per game
1,1
1,8
Over 2.5 Ø 59%
55%
63%
Both score Ø 47%
35%
58%
Average goals
2,9
3,4
Scored
1,2
2,0
Conceded
1,7
1,4
Goal diff per game
-0,5
+0,6
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: 1–1

0,71 xG 0,79
39% Possession 61%
9 Shots 10
6 Shots on target 2
1 Blocked shots 2
2 Goalkeeper saves 5
2 Corners 2
1 Offside 1
7 Free kicks against 11
2 Yellow cards 3
0 Red cards 0
The table before the match M'gladbach 14. · Leverkusen 6.
# Team K V U T +/− xG +/− P
1 Bayern Munich 20 16 3 1 +56 +39.4 51
2 Dortmund 21 14 6 1 +23 +14.7 48
3 Hoffenheim 20 13 3 4 +20 +2.6 42
4 Stuttgart 21 12 3 6 +10 +4.4 39
5 RB Leipzig 20 11 3 6 +11 +7.2 36
6 Leverkusen 19 11 2 6 +12 +10.5 35
7 Freiburg 21 8 6 7 -1 +3.7 30
8 Ein Frankfurt 21 7 7 7 -5 -3.1 28
9 Union Berlin 21 6 7 8 -8 +1.7 25
10 FC Koln 20 6 5 9 -3 -3.1 23
11 Hamburg 20 5 7 8 -8 -5.5 22
12 Augsburg 21 6 4 11 -15 -15.6 22
13 Mainz 21 5 6 10 -8 -8.6 21
14 M'gladbach 20 5 6 9 -9 -5.0 21
15 Wolfsburg 21 5 4 12 -15 -9.2 19
16 Werder Bremen 21 4 7 10 -17 -9.2 19
17 St Pauli 21 4 5 12 -15 -11.9 17
18 Heidenheim 21 3 4 14 -28 -12.9 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.

Odds comparison

Green columns are the outcomes that came in.

1X2
H
3,41
U ✓
3,67
B
1,99
Over/under goals
O1,5 ✓
O2,5
1,60
U2,5 ✓
2,26
U3,5 ✓
Both teams to score
BLS ja ✓
BLS nei

Referee

Christian Dingert · 74 kamper i vår database

🟨 Yellow cards
4,0 / match
Average
⚽ Free kicks
19,6 / match
Below average

🟥 Red cards: 0,15 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.