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2. Bundesliga

Referee: R Kampka

Schalke 04

S T S S S

0–1

Full-time

Holstein Kiel

T T S S 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

Schalke 04 Holstein Kiel

Last 6 — all competitions · 6/6 matches

Win Ø 50%

67%

33%

Points per game

2,0

1,0

Over 2.5 Ø 50%

50%

Both score Ø 42%

50%

33%

Average goals

2,0

2,5

Scored

1,2

1,0

Conceded

0,8

1,5

Goal diff per game

+0,3

-0,5

xG created Pro

xG conceded Pro

xG diff Pro

This season — 2. Bundesliga · 4/4 matches

Win Ø 50%

75%

25%

Points per game

2,3

0,8

Over 2.5 Ø 50%

50%

Both score Ø 50%

50%

Average goals

2,0

2,5

Scored

1,3

1,0

Conceded

0,8

1,5

Goal diff per game

+0,5

-0,5

🔒 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: 0–1

52% Possession 48%

12 Shots 10

4 Shots on target 5

2 Blocked shots 1

4 Goalkeeper saves 4

8 Corners 3

5 Offside 1

17 Free kicks against 13

0 Yellow cards 3

0 Red cards 0

The table before the match Schalke 04 4. · Holstein Kiel 14. ▾

#	Team	K	V	U	T	+/−	xG +/−	P
1	Hannover	4	4	0	0	+6	+2.5	12
2	Bielefeld	5	3	1	1	+7	+1.7	10
3	Elversberg	4	3	0	1	+2	-2.9	9
4	Schalke 04	4	3	0	1	+2	+0.8	9
5	Karlsruhe	4	2	2	0	+3	+0.3	8
6	Paderborn	5	2	2	1	+1	+2.8	8
7	Darmstadt	4	2	1	1	+2	+0.9	7
8	Preußen Münster	4	2	1	1	+1	-2.5	7
9	Braunschweig	4	2	1	1	+0	-1.1	7
10	Kaiserslautern	4	2	0	2	+1	-0.2	6
11	Greuther Furth	4	2	0	2	-1	-0.2	6
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	Bochum	5	1	0	4	-4	+1.8	3
16	Magdeburg	5	1	0	4	-5	-0.5	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	Bielefeld	3	2	0	1	+5	+2.2	6
2	Karlsruhe	2	2	0	0	+3	+0.1	6
3	Hannover	2	2	0	0	+3	+1.2	6
4	Kaiserslautern	2	2	0	0	+3	+1.0	6
5	Schalke 04	2	2	0	0	+2	+1.7	6
6	Elversberg	2	2	0	0	+2	-0.4	6
7	Paderborn	3	2	0	1	+1	+0.4	6
8	Darmstadt	2	1	1	0	+3	+0.6	4
9	Braunschweig	2	1	1	0	+1	+0.3	4
10	Preußen Münster	2	1	1	0	+1	-2.4	4
11	Bochum	2	1	0	1	+1	+2.4	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	Darmstadt	2	1	0	1	-1	+0.4	3
10	Braunschweig	2	1	0	1	-1	-1.3	3
11	Fortuna Dusseldorf	2	1	0	1	-3	-2.2	3
12	Magdeburg	3	1	0	2	-3	-1.8	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	3	0	0	3	-5	-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.