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2. Bundesliga

Referee: Tobias Stieler

Hannover

T S S T U

3–1

Full-time

Bielefeld

S T U 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

Hannover Bielefeld

Last 6 — all competitions · 6/6 matches

Win Ø 50%

50%

Points per game

1,7

Over 2.5 Ø 50%

67%

33%

Both score Ø 50%

50%

Average goals

2,8

2,3

Scored

1,5

1,3

Conceded

1,3

1,0

Goal diff per game

+0,2

+0,3

This season — 2. Bundesliga · 6/6 matches

Win Ø 59%

67%

50%

Points per game

2,2

1,7

Over 2.5 Ø 59%

67%

50%

Both score Ø 59%

50%

67%

Average goals

2,8

3,2

Scored

1,7

2,0

Conceded

1,2

Goal diff per game

+0,5

+0,8

🔒 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: 0–1

55% Possession 45%

13 Shots 11

4 Shots on target 1

4 Blocked shots 2

0 Goalkeeper saves 1

4 Corners 2

2 Offside 1

16 Free kicks against 11

2 Yellow cards 1

0 Red cards 0

The table before the match Hannover 6. · Bielefeld 8. ▾

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

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

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