Gamealyst.com

← Match Finder

2. Bundesliga

Referee: Lars Erbst

Braunschweig

U U T T T

1–2

Full-time

Paderborn

T U S S S

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.

Unlock with Pro

Already have an account? Log in

Team trends

Braunschweig Paderborn

Last 6 — all competitions · 6/6 matches

Win Ø 34%

67%

Points per game

0,3

2,2

Over 2.5 Ø 50%

67%

33%

Both score Ø 58%

83%

33%

Average goals

3,7

2,0

Scored

1,2

1,5

Conceded

2,5

0,5

Goal diff per game

-1,3

+1,0

This season — 2. Bundesliga · 7/7 matches

Win Ø 43%

29%

57%

Points per game

1,0

2,0

Over 2.5 Ø 43%

57%

29%

Both score Ø 57%

71%

43%

Average goals

3,1

1,9

Scored

1,1

1,3

Conceded

2,0

0,6

Goal diff per game

-0,9

+0,7

🔒 Goal markets Pro

Expected goals, over/under and both teams to score — priced by the model before kick-off.

Unlock with Pro

Already have an account? Log in

🔒 Most likely result Pro

The model's top final scores with the best bookmaker odds.

Unlock with Pro

Already have an account? Log in

Match stats

Half-time score: 0–1

47% Possession 53%

7 Shots 16

2 Shots on target 3

0 Blocked shots 9

1 Goalkeeper saves 3

4 Corners 4

1 Offside 3

16 Free kicks against 14

3 Yellow cards 2

0 Red cards 0

The table before the match Braunschweig 14. · Paderborn 5. ▾

#	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	Hannover	7	5	1	1	+5	+2.5	16
4	Schalke 04	7	5	0	2	+4	+0.8	15
5	Paderborn	7	4	2	1	+5	+2.8	14
6	Karlsruhe	7	4	2	1	+2	+0.3	14
7	Kaiserslautern	7	4	0	3	+5	-0.2	12
8	Bielefeld	7	3	1	3	+3	+1.7	10
9	Preußen Münster	7	3	1	3	-1	-2.5	10
10	Fortuna Dusseldorf	7	3	1	3	-6	-3.5	10
11	Holstein Kiel	7	3	0	4	+1	+0.1	9
12	Greuther Furth	7	3	0	4	-3	-0.2	9
13	Hertha	7	2	2	3	+1	-1.9	8
14	Braunschweig	7	2	1	4	-6	-1.1	7
15	Dresden	7	1	2	4	-4	+1.8	5
16	Nurnberg	7	1	1	5	-6	+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	Hannover	4	3	0	1	+2	+1.2	9
7	Schalke 04	4	3	0	1	+2	+1.7	9
8	Preußen Münster	4	2	1	1	+2	-2.4	7
9	Bielefeld	4	2	0	2	+3	+2.2	6
10	Braunschweig	3	1	1	1	-2	+0.3	4
11	Nurnberg	4	1	1	2	-3	-0.4	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	Hertha	4	2	1	1	+5	-1.7	7
3	Hannover	3	2	1	0	+3	+1.3	7
4	Elversberg	3	2	0	1	+3	-2.4	6
5	Darmstadt	3	2	0	1	+2	+0.4	6
6	Schalke 04	3	2	0	1	+2	-1.0	6
7	Greuther Furth	4	2	0	2	+1	-0.3	6
8	Holstein Kiel	4	2	0	2	+1	-0.4	6
9	Paderborn	3	1	2	0	+2	+2.4	5
10	Bielefeld	3	1	1	1	+0	-0.5	4
11	Dresden	4	1	1	2	-2	-0.1	4
12	Kaiserslautern	4	1	0	3	-1	-1.2	3
13	Preußen Münster	3	1	0	2	-3	-0.1	3
14	Magdeburg	4	1	0	3	-4	-1.8	3
15	Braunschweig	4	1	0	3	-4	-1.3	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.