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2. Bundesliga

Referee: K Oldhafer

Bielefeld

S S S T U

2–0

Full-time

Magdeburg

T S S 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

Bielefeld Magdeburg

Last 6 — all competitions · 6/6 matches

Win Ø 50%

50%

Points per game

1,7

1,5

Over 2.5 Ø 67%

50%

83%

Both score Ø 75%

67%

83%

Average goals

3,3

4,5

Scored

2,0

2,3

Conceded

1,3

2,2

Goal diff per game

+0,7

+0,2

This season — 2. Bundesliga · 4/4 matches

Win Ø 38%

50%

25%

Points per game

1,8

0,8

Over 2.5 Ø 63%

50%

75%

Both score Ø 75%

75%

Average goals

3,3

4,3

Scored

2,3

1,8

Conceded

1,0

2,5

Goal diff per game

+1,3

-0,8

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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: 0–0

42% Possession 58%

13 Shots 17

5 Shots on target 3

2 Blocked shots 5

3 Goalkeeper saves 3

5 Corners 5

1 Offside 0

13 Free kicks against 12

1 Yellow cards 2

0 Red cards 0

The table before the match Bielefeld 5. · Magdeburg 15. ▾

#	Team	K	V	U	T	+/−	xG +/−	P
1	Hannover	4	4	0	0	+6	+2.5	12
2	Elversberg	4	3	0	1	+2	-2.9	9
3	Schalke 04	4	3	0	1	+2	+0.8	9
4	Karlsruhe	4	2	2	0	+3	+0.3	8
5	Bielefeld	4	2	1	1	+5	+1.7	7
6	Darmstadt	4	2	1	1	+2	+0.9	7
7	Preußen Münster	4	2	1	1	+1	-2.5	7
8	Braunschweig	4	2	1	1	+0	-1.1	7
9	Kaiserslautern	4	2	0	2	+1	-0.2	6
10	Greuther Furth	4	2	0	2	-1	-0.2	6
11	Paderborn	4	1	2	1	+0	+2.8	5
12	Fortuna Dusseldorf	4	1	1	2	-5	-3.5	4
13	Dresden	4	1	0	3	-2	+1.8	3
14	Holstein Kiel	4	1	0	3	-2	+0.1	3
15	Magdeburg	4	1	0	3	-3	-0.5	3
16	Bochum	4	1	0	3	-3	+1.8	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	Kaiserslautern	2	2	0	0	+3	+1.0	6
4	Schalke 04	2	2	0	0	+2	+1.7	6
5	Elversberg	2	2	0	0	+2	-0.4	6
6	Darmstadt	2	1	1	0	+3	+0.6	4
7	Braunschweig	2	1	1	0	+1	+0.3	4
8	Preußen Münster	2	1	1	0	+1	-2.4	4
9	Bielefeld	2	1	0	1	+3	+2.2	3
10	Bochum	2	1	0	1	+1	+2.4	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	Fortuna Dusseldorf	2	0	1	1	-2	-1.3	1
16	Magdeburg	2	0	0	2	-2	+1.3	0
17	Dresden	2	0	0	2	-2	+1.8	0
18	Holstein Kiel	2	0	0	2	-3	+0.5	0

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