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2. Bundesliga

Referee: P Schwengers

Braunschweig

U S S T U

1–1

Full-time

Bielefeld

T S S S 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

Braunschweig Bielefeld

Last 6 — all competitions · 6/6 matches

Win Ø 59%

50%

67%

Points per game

1,8

2,0

Over 2.5 Ø 59%

50%

67%

Both score Ø 59%

50%

67%

Average goals

3,3

3,5

Scored

1,8

2,2

Conceded

1,5

1,3

Goal diff per game

+0,3

+0,8

This season — 2. Bundesliga · 3/3 matches

Win Ø 67%

67%

Points per game

2,0

Over 2.5 Ø 50%

33%

67%

Both score Ø 50%

33%

67%

Average goals

2,7

3,7

Scored

1,3

2,7

Conceded

1,3

1,0

Goal diff per game

+0,0

+1,7

🔒 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

30% Possession 70%

8 Shots 13

3 Shots on target 6

3 Blocked shots 4

5 Goalkeeper saves 2

3 Corners 7

3 Offside 0

16 Free kicks against 12

3 Yellow cards 3

0 Red cards 0

The table before the match Braunschweig 7. · Bielefeld 5. ▾

#	Team	K	V	U	T	+/−	xG +/−	P
1	Hannover	3	3	0	0	+5	+2.5	9
2	Elversberg	4	3	0	1	+2	-2.9	9
3	Darmstadt	3	2	1	0	+4	+0.9	7
4	Karlsruhe	3	2	1	0	+3	+0.3	7
5	Bielefeld	3	2	0	1	+5	+1.7	6
6	Schalke 04	3	2	0	1	+1	+0.8	6
7	Braunschweig	3	2	0	1	+0	-1.1	6
8	Paderborn	4	1	2	1	+0	+2.8	5
9	Preußen Münster	3	1	1	1	+0	-2.5	4
10	Dresden	3	1	0	2	-1	+1.8	3
11	Holstein Kiel	3	1	0	2	-1	+0.1	3
12	Kaiserslautern	3	1	0	2	-1	-0.2	3
13	Greuther Furth	3	1	0	2	-2	-0.2	3
14	Bochum	3	1	0	2	-2	+1.8	3
15	Magdeburg	3	1	0	2	-2	-0.5	3
16	Fortuna Dusseldorf	3	1	0	2	-5	-3.5	3
17	Hertha	4	0	2	2	-3	-1.9	2
18	Nurnberg	4	0	1	3	-3	+0.1	1

#	Team	K	V	U	T	+/−	xG +/−	P
1	Karlsruhe	2	2	0	0	+3	+0.1	6
2	Hannover	2	2	0	0	+3	+1.2	6
3	Schalke 04	2	2	0	0	+2	+1.7	6
4	Elversberg	2	2	0	0	+2	-0.4	6
5	Darmstadt	2	1	1	0	+3	+0.6	4
6	Preußen Münster	2	1	1	0	+1	-2.4	4
7	Bielefeld	2	1	0	1	+3	+2.2	3
8	Bochum	1	1	0	0	+2	+2.4	3
9	Braunschweig	1	1	0	0	+1	+0.3	3
10	Kaiserslautern	1	1	0	0	+1	+1.0	3
11	Paderborn	2	1	0	1	+0	+0.4	3
12	Greuther Furth	2	1	0	1	-1	+0.1	3
13	Nurnberg	2	0	1	1	-1	-0.4	1
14	Hertha	2	0	1	1	-2	-0.2	1
15	Dresden	1	0	0	1	-1	+1.8	0
16	Magdeburg	1	0	0	1	-1	+1.3	0
17	Fortuna Dusseldorf	1	0	0	1	-2	-1.3	0
18	Holstein Kiel	1	0	0	1	-2	+0.5	0

#	Team	K	V	U	T	+/−	xG +/−	P
1	Hannover	1	1	0	0	+2	+1.3	3
2	Bielefeld	1	1	0	0	+2	-0.5	3
3	Holstein Kiel	2	1	0	1	+1	-0.4	3
4	Darmstadt	1	1	0	0	+1	+0.4	3
5	Dresden	2	1	0	1	+0	-0.1	3
6	Elversberg	2	1	0	1	+0	-2.4	3
7	Magdeburg	2	1	0	1	-1	-1.8	3
8	Braunschweig	2	1	0	1	-1	-1.3	3
9	Fortuna Dusseldorf	2	1	0	1	-3	-2.2	3
10	Paderborn	2	0	2	0	+0	+2.4	2
11	Karlsruhe	1	0	1	0	+0	+0.2	1
12	Hertha	2	0	1	1	-1	-1.7	1
13	Preußen Münster	1	0	0	1	-1	-0.1	0
14	Greuther Furth	1	0	0	1	-1	-0.3	0
15	Schalke 04	1	0	0	1	-1	-1.0	0
16	Nurnberg	2	0	0	2	-2	+0.4	0
17	Kaiserslautern	2	0	0	2	-2	-1.2	0
18	Bochum	2	0	0	2	-4	-0.6	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.