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2. Bundesliga

Referee: D Schlager

Rot-Weiß Essen

T T T

1–0

Full-time

Greuther Furth

S T U T S

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

⚠️ One of the teams has played few league matches recently (e.g. newly promoted). The analysis is therefore more uncertain than usual, and we give no recommendations for this match.

🔒 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

Rot-Weiß Essen Greuther Furth

Last 6 — all competitions · 3/6 matches

Win Ø 17%

33%

Points per game

0,0

1,3

Over 2.5 Ø 67%

67%

Both score Ø 67%

67%

Average goals

4,3

2,7

Scored

1,3

1,5

Conceded

3,0

1,2

Goal diff per game

-1,7

+0,3

xG created Pro

xG conceded Pro

xG diff Pro

🔒 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: 0–0

35% Possession 65%

10 Shots 9

3 Shots on target 1

1 Blocked shots 3

1 Goalkeeper saves 2

1 Corners 8

4 Offside 1

11 Free kicks against 18

1 Yellow cards 3

0 Red cards 0

The table before the match ▾

#	Team	K	V	U	T	+/−	xG +/−	P
1	Schalke 04	34	21	7	6	+19	+18.1	70
2	Elversberg	34	18	8	8	+25	+10.5	62
3	Paderborn	34	18	8	8	+14	+13.6	62
4	Hannover	34	16	12	6	+16	+14.1	60
5	Darmstadt	34	13	13	8	+12	+2.3	52
6	Kaiserslautern	34	16	4	14	+5	-2.1	52
7	Hertha	34	14	9	11	+3	-6.9	51
8	Nurnberg	34	12	10	12	+2	-0.1	46
9	Bochum	34	11	11	12	+2	+3.1	44
10	Karlsruhe	34	12	8	14	-11	-18.7	44
11	Dresden	34	11	8	15	+1	+3.5	41
12	Holstein Kiel	34	11	8	15	-4	-11.5	41
13	Bielefeld	34	10	9	15	+2	+5.9	39
14	Magdeburg	34	12	3	19	-6	+6.6	39
15	Braunschweig	34	10	7	17	-18	-5.8	37
16	Greuther Furth	34	10	7	17	-19	-8.2	37
17	Fortuna Dusseldorf	34	11	4	19	-20	-7.8	37
18	Preußen Münster	34	6	12	16	-23	-16.8	30

#	Team	K	V	U	T	+/−	xG +/−	P
1	Schalke 04	17	13	3	1	+15	+10.9	42
2	Elversberg	17	11	4	2	+21	+9.0	37
3	Darmstadt	17	10	5	2	+15	+8.5	35
4	Kaiserslautern	17	11	1	5	+16	+4.9	34
5	Paderborn	17	10	3	4	+8	+11.3	33
6	Nurnberg	17	9	4	4	+10	+4.2	31
7	Karlsruhe	17	9	3	5	+5	-2.8	30
8	Bochum	17	8	5	4	+9	+10.7	29
9	Hannover	17	7	6	4	+4	+9.7	27
10	Bielefeld	17	7	5	5	+13	+16.7	26
11	Dresden	17	7	3	7	+8	+9.1	24
12	Fortuna Dusseldorf	17	7	3	7	-4	-1.4	24
13	Hertha	17	6	5	6	-2	-0.6	23
14	Greuther Furth	17	6	5	6	-5	-2.7	23
15	Braunschweig	17	6	5	6	-6	+2.1	23
16	Holstein Kiel	17	6	4	7	+3	+0.0	22
17	Preußen Münster	17	3	8	6	-4	-3.9	17
18	Magdeburg	17	5	2	10	-5	+7.0	17

#	Team	K	V	U	T	+/−	xG +/−	P
1	Hannover	17	9	6	2	+12	+4.4	33
2	Paderborn	17	8	5	4	+6	+2.3	29
3	Hertha	17	8	4	5	+5	-6.3	28
4	Schalke 04	17	8	4	5	+4	+7.2	28
5	Elversberg	17	7	4	6	+4	+1.5	25
6	Magdeburg	17	7	1	9	-1	-0.4	22
7	Holstein Kiel	17	5	4	8	-7	-11.6	19
8	Kaiserslautern	17	5	3	9	-11	-6.9	18
9	Darmstadt	17	3	8	6	-3	-6.2	17
10	Dresden	17	4	5	8	-7	-5.5	17
11	Bochum	17	3	6	8	-7	-7.5	15
12	Nurnberg	17	3	6	8	-8	-4.4	15
13	Braunschweig	17	4	2	11	-12	-7.9	14
14	Greuther Furth	17	4	2	11	-14	-5.4	14
15	Karlsruhe	17	3	5	9	-16	-15.9	14
16	Bielefeld	17	3	4	10	-11	-10.7	13
17	Fortuna Dusseldorf	17	4	1	12	-16	-6.4	13
18	Preußen Münster	17	3	4	10	-19	-12.9	13

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.