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2. Bundesliga

Referee: M Petersen

Holstein Kiel

U S S S S

1–3

Full-time

Magdeburg

S T S T S

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

Holstein Kiel Magdeburg

Last 6 — all competitions · 6/6 matches

Win Ø 75%

83%

67%

Points per game

2,7

2,0

Over 2.5 Ø 50%

50%

Both score Ø 42%

33%

50%

Average goals

2,3

3,3

Scored

1,8

2,2

Conceded

0,5

1,2

Goal diff per game

+1,3

+1,0

xG created Pro

xG conceded Pro

xG diff Pro

This season — 2. Bundesliga · 32/32 matches

Win Ø 34%

34%

Points per game

1,3

1,1

Over 2.5 Ø 52%

50%

53%

Both score Ø 53%

59%

47%

Average goals

2,7

3,3

Scored

1,3

1,5

Conceded

1,3

1,8

Goal diff per game

+0,0

-0,2

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

1,12 xG 1,91

59% Possession 41%

13 Shots 14

5 Shots on target 7

3 Blocked shots 3

4 Goalkeeper saves 4

10 Corners 6

2 Offside 5

13 Free kicks against 11

2 Yellow cards 2

0 Red cards 0

The table before the match Holstein Kiel 10. · Magdeburg 14. ▾

#	Team	K	V	U	T	+/−	xG +/−	P
1	Schalke 04	32	20	7	5	+21	+16.6	67
2	Elversberg	32	17	8	7	+24	+8.7	59
3	Paderborn	33	17	8	8	+12	+13.6	59
4	Hannover	32	16	10	6	+16	+12.8	58
5	Darmstadt	32	13	12	7	+14	+1.0	51
6	Kaiserslautern	33	15	4	14	+4	-2.3	49
7	Hertha	32	13	9	10	+7	-1.9	48
8	Karlsruhe	33	12	8	13	-10	-19.7	44
9	Nurnberg	32	11	9	12	-1	+1.5	42
10	Holstein Kiel	32	11	8	13	-1	-10.9	41
11	Bochum	32	10	10	12	+1	+3.7	40
12	Dresden	32	10	8	14	+1	+2.4	38
13	Bielefeld	33	9	9	15	-3	+2.2	36
14	Magdeburg	32	11	3	18	-7	+6.0	36
15	Braunschweig	32	9	7	16	-18	-3.0	34
16	Fortuna Dusseldorf	32	10	4	18	-19	-6.4	34
17	Greuther Furth	32	9	7	16	-21	-10.7	34
18	Preußen Münster	32	6	11	15	-20	-13.7	29

#	Team	K	V	U	T	+/−	xG +/−	P
1	Schalke 04	16	12	3	1	+14	+9.4	39
2	Darmstadt	16	10	5	1	+17	+8.6	35
3	Elversberg	16	10	4	2	+18	+7.3	34
4	Kaiserslautern	17	11	1	5	+16	+4.9	34
5	Paderborn	17	10	3	4	+8	+11.3	33
6	Karlsruhe	16	9	3	4	+6	-3.8	30
7	Bochum	16	8	4	4	+9	+10.3	28
8	Nurnberg	16	8	4	4	+7	+4.3	28
9	Hannover	16	7	5	4	+4	+8.1	26
10	Bielefeld	16	6	5	5	+8	+12.9	23
11	Holstein Kiel	16	6	4	6	+5	+0.8	22
12	Dresden	16	6	3	7	+7	+9.2	21
13	Fortuna Dusseldorf	16	6	3	7	-6	-1.3	21
14	Hertha	16	5	5	6	-3	+0.7	20
15	Braunschweig	16	5	5	6	-7	+3.4	20
16	Greuther Furth	16	5	5	6	-8	-4.0	20
17	Magdeburg	16	5	2	9	-4	+7.3	17
18	Preußen Münster	16	3	7	6	-4	-2.6	16

#	Team	K	V	U	T	+/−	xG +/−	P
1	Hannover	16	9	5	2	+12	+4.8	32
2	Hertha	16	8	4	4	+10	-2.6	28
3	Schalke 04	16	8	4	4	+7	+7.2	28
4	Paderborn	16	7	5	4	+4	+2.3	26
5	Elversberg	16	7	4	5	+6	+1.4	25
6	Magdeburg	16	6	1	9	-3	-1.2	19
7	Holstein Kiel	16	5	4	7	-6	-11.7	19
8	Dresden	16	4	5	7	-6	-6.8	17
9	Darmstadt	16	3	7	6	-3	-7.6	16
10	Kaiserslautern	16	4	3	9	-12	-7.2	15
11	Nurnberg	16	3	5	8	-8	-2.8	14
12	Braunschweig	16	4	2	10	-11	-6.4	14
13	Greuther Furth	16	4	2	10	-13	-6.7	14
14	Karlsruhe	17	3	5	9	-16	-15.9	14
15	Bielefeld	17	3	4	10	-11	-10.7	13
16	Fortuna Dusseldorf	16	4	1	11	-13	-5.1	13
17	Preußen Münster	16	3	4	9	-16	-11.2	13
18	Bochum	16	2	6	8	-8	-6.5	12

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.