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Bundesliga
Referee: Manuel Gräfe
RB Leipzig
S S S S U
0–0
Full-time
Bayern Munich
S S S U 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

RB Leipzig Bayern Munich
Last 6 — all competitions · 6/6 matches
Win Ø 75%
83%
67%
Points per game
2,7
2,3
Over 2.5 Ø 67%
83%
50%
Both score Ø 67%
67%
67%
Average goals
4,2
3,2
Scored
3,0
2,5
Conceded
1,2
0,7
Goal diff per game
+1,8
+1,8
This season — Bundesliga · 32/32 matches
Win Ø 66%
59%
72%
Points per game
2,0
2,3
Over 2.5 Ø 63%
53%
72%
Both score Ø 50%
41%
59%
Average goals
2,8
3,6
Scored
1,9
2,6
Conceded
0,8
1,0
Goal diff per game
+1,1
+1,6
🔒 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: 0–0

35% Possession 65%
10 Shots 11
3 Shots on target 5
3 Blocked shots 1
5 Goalkeeper saves 3
1 Corners 6
2 Offside 7
11 Free kicks against 9
0 Yellow cards 2
0 Red cards 0
The table before the match RB Leipzig 3. · Bayern Munich 1.
# Team K V U T +/− P
1 Bayern Munich 32 23 5 4 +52 74
2 Dortmund 32 21 7 4 +34 70
3 RB Leipzig 32 19 8 5 +35 65
4 Ein Frankfurt 32 15 9 8 +18 54
5 Leverkusen 32 17 3 12 +13 54
6 M'gladbach 32 15 7 10 +11 52
7 Wolfsburg 32 15 7 10 +8 52
8 Hoffenheim 32 13 12 7 +21 51
9 Werder Bremen 32 12 11 9 +7 47
10 Fortuna Dusseldorf 32 12 5 15 -16 41
11 Hertha 32 10 10 12 -5 40
12 Mainz 32 10 7 15 -15 37
13 Freiburg 32 7 12 13 -16 33
14 Augsburg 32 8 8 16 -12 32
15 Schalke 04 32 8 7 17 -18 31
16 Stuttgart 32 6 6 20 -41 24
17 Nurnberg 32 3 10 19 -34 19
18 Hannover 32 4 6 22 -42 18

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.