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Bundesliga
Referee: Tobias Welz
Bayern Munich
S S T S S
3–1
Full-time
Leverkusen
T U S 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

Bayern Munich Leverkusen
Last 6 — all competitions · 6/6 matches
Win Ø 50%
83%
17%
Points per game
2,5
0,7
Over 2.5 Ø 75%
100%
50%
Both score Ø 50%
67%
33%
Average goals
4,0
2,7
Scored
2,8
0,7
Conceded
1,2
2,0
Goal diff per game
+1,7
-1,3
This season — Bundesliga · 2/2 matches
Win Ø 50%
100%
0%
Points per game
3,0
0,0
Over 2.5 Ø 75%
100%
50%
Both score Ø 50%
50%
50%
Average goals
3,5
3,0
Scored
3,0
0,5
Conceded
0,5
2,5
Goal diff per game
+2,5
-2,0
🔒 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: 2–1

76% Possession 24%
15 Shots 3
6 Shots on target 1
2 Blocked shots 0
0 Goalkeeper saves 3
9 Corners 1
3 Offside 1
6 Free kicks against 12
0 Yellow cards 1
0 Red cards 1
The table before the match Bayern Munich 2. · Leverkusen 17.
# Team K V U T +/− P
1 Dortmund 3 2 1 0 +5 7
2 Bayern Munich 2 2 0 0 +5 6
3 Wolfsburg 2 2 0 0 +3 6
4 Hertha 2 2 0 0 +3 6
5 M'gladbach 2 1 1 0 +2 4
6 Augsburg 2 1 1 0 +1 4
7 Werder Bremen 2 1 1 0 +1 4
8 Mainz 2 1 1 0 +1 4
9 Hoffenheim 2 1 0 1 +0 3
10 Ein Frankfurt 3 1 0 2 -1 3
11 Hannover 2 0 2 0 +0 2
12 Fortuna Dusseldorf 2 0 1 1 -1 1
13 Nurnberg 2 0 1 1 -1 1
14 RB Leipzig 2 0 1 1 -3 1
15 Schalke 04 2 0 0 2 -3 0
16 Freiburg 2 0 0 2 -4 0
17 Leverkusen 2 0 0 2 -4 0
18 Stuttgart 2 0 0 2 -4 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.

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