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2. Bundesliga

Referee: Max Burda

Paderborn

U S S S S

4–3

Full-time

Bielefeld

U S T T T

Retrospective analysis — the model is trained only on matches played before this one.

🔒 Who wins? Pro

The model's probabilities for a home win, draw and away win — with reasoning and recommended markets.

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Team trends

Paderborn Bielefeld

Last 6 — all competitions · 6/6 matches

Win Ø 42%

67%

17%

Points per game

2,2

0,7

Over 2.5 Ø 50%

33%

67%

Both score Ø 58%

33%

83%

Average goals

1,8

3,0

Scored

1,3

1,2

Conceded

0,5

1,8

Goal diff per game

+0,8

-0,7

This season — 2. Bundesliga · 8/8 matches

Win Ø 51%

63%

38%

Points per game

2,1

1,3

Over 2.5 Ø 51%

38%

63%

Both score Ø 63%

50%

75%

Average goals

2,0

3,3

Scored

1,4

1,8

Conceded

0,6

1,5

Goal diff per game

+0,8

+0,3

🔒 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: 1–2

50% Possession 50%

20 Shots 16

9 Shots on target 4

8 Blocked shots 4

1 Goalkeeper saves 5

8 Corners 5

4 Offside 1

20 Free kicks against 15

5 Yellow cards 3

0 Red cards 0

The table before the match Paderborn 4. · Bielefeld 9. ▾

#	Team	K	V	U	T	+/−	xG +/−	P
1	Schalke 04	9	7	0	2	+8	+0.8	21
2	Elversberg	8	6	1	1	+10	-2.9	19
3	Darmstadt	8	5	2	1	+8	+0.9	17
4	Paderborn	8	5	2	1	+6	+2.8	17
5	Hannover	9	5	2	2	+2	+2.5	17
6	Kaiserslautern	8	5	0	3	+6	-0.2	15
7	Karlsruhe	8	4	3	1	+2	+0.3	15
8	Hertha	8	3	2	3	+2	-1.9	11
9	Bielefeld	8	3	1	4	+2	+1.7	10
10	Holstein Kiel	8	3	1	4	+1	+0.1	10
11	Preußen Münster	8	3	1	4	-2	-2.5	10
12	Greuther Furth	8	3	1	4	-3	-0.2	10
13	Braunschweig	9	3	1	5	-6	-1.1	10
14	Fortuna Dusseldorf	9	3	1	5	-8	-3.5	10
15	Nurnberg	8	2	1	5	-5	+0.1	7
16	Dresden	8	1	3	4	-4	+1.8	6
17	Bochum	8	1	0	7	-7	+1.8	3
18	Magdeburg	8	1	0	7	-12	-0.5	3

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

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