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2. Bundesliga

Referee: Daniel Schlager

Paderborn

S S T S S

0–2

Full-time

Hannover

U T S U 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

Paderborn Hannover

Last 6 — all competitions · 6/6 matches

Win Ø 58%

83%

33%

Points per game

2,5

1,3

Over 2.5 Ø 92%

83%

100%

Both score Ø 75%

83%

67%

Average goals

3,8

Scored

2,2

2,0

Conceded

1,7

1,8

Goal diff per game

+0,5

+0,2

xG created Pro

xG conceded Pro

xG diff Pro

This season — 2. Bundesliga · 12/12 matches

Win Ø 63%

75%

50%

Points per game

2,4

1,8

Over 2.5 Ø 67%

50%

83%

Both score Ø 58%

58%

Average goals

2,5

3,3

Scored

1,7

1,8

Conceded

0,8

1,5

Goal diff per game

+0,8

+0,3

xG created Pro

xG conceded Pro

xG diff Pro

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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

1,18 xG 1,28

55% Possession 45%

16 Shots 15

4 Shots on target 9

6 Blocked shots 3

7 Goalkeeper saves 3

11 Corners 4

12 Free kicks against 5

0 Yellow cards 1

0 Red cards 0

The table before the match Paderborn 1. · Hannover 6. ▾

#	Team	K	V	U	T	+/−	xG +/−	P
1	Paderborn	12	9	2	1	+10	+2.1	29
2	Schalke 04	12	9	0	3	+9	+1.8	27
3	Elversberg	12	7	2	3	+13	-3.0	23
4	Hertha	13	7	2	4	+6	-1.0	23
5	Darmstadt	12	6	4	2	+8	+4.4	22
6	Hannover	12	6	3	3	+4	+1.8	21
7	Karlsruhe	12	6	3	3	+1	-3.3	21
8	Kaiserslautern	12	6	2	4	+6	+0.4	20
9	Bielefeld	12	5	2	5	+7	+1.6	17
10	Holstein Kiel	12	4	3	5	+1	-1.0	15
11	Nurnberg	12	4	3	5	-3	+0.5	15
12	Preußen Münster	12	4	2	6	-4	-1.2	14
13	Bochum	13	4	1	8	-3	+3.0	13
14	Greuther Furth	12	4	1	7	-12	-1.3	13
15	Fortuna Dusseldorf	12	3	2	7	-10	-3.4	11
16	Dresden	13	2	4	7	-7	-1.1	10
17	Braunschweig	13	3	1	9	-13	+0.2	10
18	Magdeburg	12	2	1	9	-13	-0.6	7

#	Team	K	V	U	T	+/−	xG +/−	P
1	Paderborn	6	5	0	1	+5	+0.8	15
2	Karlsruhe	6	5	0	1	+5	-0.9	15
3	Schalke 04	6	5	0	1	+4	+1.7	15
4	Elversberg	6	4	2	0	+9	-0.6	14
5	Kaiserslautern	6	4	1	1	+6	+1.3	13
6	Hertha	7	4	1	2	+1	+1.1	13
7	Bielefeld	7	4	0	3	+8	+4.7	12
8	Darmstadt	6	3	3	0	+6	+3.2	12
9	Preußen Münster	6	3	2	1	+3	-1.7	11
10	Bochum	6	3	0	3	+2	+5.2	9
11	Hannover	6	3	0	3	-2	+0.4	9
12	Holstein Kiel	6	2	2	2	+1	+0.1	8
13	Nurnberg	6	2	2	2	-2	-0.2	8
14	Greuther Furth	6	2	1	3	-6	-0.6	7
15	Braunschweig	6	1	1	4	-8	+1.9	4
16	Magdeburg	6	1	0	5	-7	+2.4	3
17	Dresden	6	0	2	4	-4	+1.6	2
18	Fortuna Dusseldorf	6	0	2	4	-7	-1.6	2

#	Team	K	V	U	T	+/−	xG +/−	P
1	Paderborn	6	4	2	0	+5	+1.3	14
2	Hannover	6	3	3	0	+6	+1.5	12
3	Schalke 04	6	4	0	2	+5	+0.1	12
4	Hertha	6	3	1	2	+5	-2.0	10
5	Darmstadt	6	3	1	2	+2	+1.2	10
6	Elversberg	6	3	0	3	+4	-2.5	9
7	Fortuna Dusseldorf	6	3	0	3	-3	-1.8	9
8	Dresden	7	2	2	3	-3	-2.7	8
9	Kaiserslautern	6	2	1	3	+0	-0.8	7
10	Holstein Kiel	6	2	1	3	+0	-1.1	7
11	Nurnberg	6	2	1	3	-1	+0.7	7
12	Karlsruhe	6	1	3	2	-4	-2.4	6
13	Braunschweig	7	2	0	5	-5	-1.8	6
14	Greuther Furth	6	2	0	4	-6	-0.7	6
15	Bielefeld	5	1	2	2	-1	-3.1	5
16	Bochum	7	1	1	5	-5	-2.2	4
17	Magdeburg	6	1	1	4	-6	-3.0	4
18	Preußen Münster	6	1	0	5	-7	+0.5	3

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.