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Bundesliga
Referee: Sascha Stegemann
RB Leipzig
S T S S T
0–3
Full-time
Hamburg
T S T T S

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

RB Leipzig Hamburg
Last 6 — all competitions · 6/6 matches
Win Ø 50%
50%
50%
Points per game
1,5
1,5
Over 2.5 Ø 50%
50%
50%
Both score Ø 34%
17%
50%
Average goals
2,2
2,3
Scored
1,2
1,0
Conceded
1,0
1,3
Goal diff per game
+0,2
-0,3
This season — Bundesliga · 19/19 matches
Win Ø 45%
68%
21%
Points per game
2,2
0,8
Over 2.5 Ø 56%
58%
53%
Both score Ø 48%
53%
42%
Average goals
2,8
2,7
Scored
1,9
0,8
Conceded
0,9
1,8
Goal diff per game
+1,0
-1,0
🔒 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: 0–2

68% Possession 32%
15 Shots 11
0 Shots on target 5
6 Blocked shots 1
2 Goalkeeper saves 0
3 Corners 6
4 Offside 5
10 Free kicks against 17
2 Yellow cards 2
0 Red cards 0
The table before the match RB Leipzig 2. · Hamburg 16.
# Team K V U T +/− P
1 Bayern Munich 19 14 4 1 +31 46
2 RB Leipzig 19 13 3 3 +19 42
3 Ein Frankfurt 19 10 5 4 +10 35
4 Dortmund 19 9 7 3 +18 34
5 Hoffenheim 19 8 10 1 +16 34
6 Hertha 19 10 3 6 +6 33
7 FC Koln 19 8 8 3 +12 32
8 Freiburg 19 8 2 9 -9 26
9 Mainz 20 7 4 9 -6 25
10 Leverkusen 19 7 3 9 -1 24
11 Augsburg 20 6 6 8 -6 24
12 M'gladbach 19 6 5 8 -6 23
13 Schalke 04 19 6 4 9 +1 22
14 Wolfsburg 19 5 4 10 -10 19
15 Werder Bremen 19 4 4 11 -17 16
16 Hamburg 19 4 4 11 -19 16
17 FC Ingolstadt 04 19 4 3 12 -13 15
18 Darmstadt 19 2 3 14 -26 9

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.

Recent head-to-head meetings

17. Sep -16 Hamburg – RB Leipzig 0–4

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