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2. Bundesliga

Referee: Richard Hempel

Braunschweig

S T S T T

3–5

Full-time

Hertha

S T S S U

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

Braunschweig Hertha

Last 6 — all competitions · 6/6 matches

Win Ø 42%

33%

50%

Points per game

1,0

1,7

Over 2.5 Ø 50%

50%

Both score Ø 59%

50%

67%

Average goals

3,3

3,2

Scored

1,7

1,5

Conceded

1,7

Goal diff per game

+0,0

-0,2

xG created Pro

xG conceded Pro

xG diff Pro

This season — 2. Bundesliga · 2/2 matches

Win Ø 75%

50%

100%

Points per game

1,5

3,0

Over 2.5 Ø 50%

50%

Both score Ø 50%

50%

Average goals

4,0

3,0

Scored

3,0

2,5

Conceded

1,0

0,5

Goal diff per game

+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: 2–2

2,60 xG 3,60

46% Possession 54%

17 Shots 26

9 Shots on target 6

1 Blocked shots 10

1 Goalkeeper saves 5

5 Corners 12

0 Offside 3

9 Free kicks against 15

2 Yellow cards 4

0 Red cards 0

The table before the match Braunschweig 5. · Hertha 2. ▾

#	Team	K	V	U	T	+/−	xG +/−	P
1	Nurnberg	2	2	0	0	+5	-1.0	6
2	Hertha	2	2	0	0	+4	+0.4	6
3	Karlsruhe	2	1	1	0	+1	-0.0	4
4	Wolfsburg	2	1	1	0	+1	+0.8	4
5	Braunschweig	2	1	0	1	+4	+2.5	3
6	Bielefeld	2	1	0	1	+2	+2.8	3
7	Bochum	2	1	0	1	+0	+0.1	3
8	Cottbus	2	1	0	1	-1	-4.7	3
9	Heidenheim	2	1	0	1	-2	-0.1	3
10	Magdeburg	2	1	0	1	-2	-1.4	3
11	Dresden	2	1	0	1	-2	-0.0	3
12	Holstein Kiel	2	0	2	0	+0	+0.2	2
13	St Pauli	2	0	2	0	+0	+0.4	2
14	Kaiserslautern	2	0	2	0	+0	-0.1	2
15	Darmstadt	2	0	1	1	-1	-0.9	1
16	Greuther Furth	2	0	1	1	-2	+1.3	1
17	Hannover	2	0	0	2	-3	+1.3	0
18	Osnabruck	2	0	0	2	-4	-1.4	0

#	Team	K	V	U	T	+/−	xG +/−	P
1	Hertha	1	1	0	0	+3	+0.8	3
2	Bielefeld	1	1	0	0	+3	+3.0	3
3	Nurnberg	1	1	0	0	+3	+0.3	3
4	Cottbus	1	1	0	0	+2	-1.7	3
5	Heidenheim	1	1	0	0	+1	+0.7	3
6	Karlsruhe	1	1	0	0	+1	+0.2	3
7	Dresden	1	1	0	0	+1	+0.3	3
8	Darmstadt	1	0	1	0	+0	-0.7	1
9	Holstein Kiel	1	0	1	0	+0	-0.5	1
10	St Pauli	1	0	1	0	+0	-0.1	1
11	Wolfsburg	1	0	1	0	+0	+0.4	1
12	Kaiserslautern	1	0	1	0	+0	+0.3	1
13	Bochum	1	0	0	1	-1	+0.4	0
14	Hannover	1	0	0	1	-1	-0.4	0
15	Braunschweig	1	0	0	1	-1	+0.3	0
16	Greuther Furth	1	0	0	1	-2	+1.3	0
17	Osnabruck	1	0	0	1	-3	-0.8	0
18	Magdeburg	1	0	0	1	-5	-2.2	0

#	Team	K	V	U	T	+/−	xG +/−	P
1	Braunschweig	1	1	0	0	+5	+2.2	3
2	Magdeburg	1	1	0	0	+3	+0.8	3
3	Nurnberg	1	1	0	0	+2	-1.3	3
4	Hertha	1	1	0	0	+1	-0.4	3
5	Wolfsburg	1	1	0	0	+1	+0.4	3
6	Bochum	1	1	0	0	+1	-0.3	3
7	Holstein Kiel	1	0	1	0	+0	+0.7	1
8	St Pauli	1	0	1	0	+0	+0.5	1
9	Greuther Furth	1	0	1	0	+0	+0.1	1
10	Kaiserslautern	1	0	1	0	+0	-0.4	1
11	Karlsruhe	1	0	1	0	+0	-0.3	1
12	Osnabruck	1	0	0	1	-1	-0.7	0
13	Bielefeld	1	0	0	1	-1	-0.2	0
14	Darmstadt	1	0	0	1	-1	-0.3	0
15	Hannover	1	0	0	1	-2	+1.7	0
16	Heidenheim	1	0	0	1	-3	-0.8	0
17	Cottbus	1	0	0	1	-3	-3.0	0
18	Dresden	1	0	0	1	-3	-0.3	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.