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2. Bundesliga
1–2
Full-time
Holstein Kiel
U U U S 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

Erzgebirge Aue Holstein Kiel
Last 6 — all competitions · 6/6 matches
Win Ø 33%
33%
33%
Points per game
1,2
1,5
Over 2.5 Ø 59%
50%
67%
Both score Ø 58%
33%
83%
Average goals
2,3
3,5
Scored
1,0
1,8
Conceded
1,3
1,7
Goal diff per game
-0,3
+0,2
This season — 2. Bundesliga · 21/21 matches
Win Ø 38%
38%
38%
Points per game
1,4
1,4
Over 2.5 Ø 58%
48%
67%
Both score Ø 64%
52%
76%
Average goals
2,8
3,1
Scored
1,4
1,6
Conceded
1,4
1,5
Goal diff per game
+0,0
+0,1
🔒 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

18 Shots 9
4 Shots on target 6
6 Corners 1
15 Free kicks against 9
3 Yellow cards 2
0 Red cards 0
The table before the match Erzgebirge Aue 8. · Holstein Kiel 7.
# Team K V U T +/− P
1 Bielefeld 22 12 8 2 +24 44
2 Hamburg 22 11 8 3 +24 41
3 Stuttgart 21 11 5 5 +12 38
4 Heidenheim 22 9 8 5 +7 35
5 Regensburg 22 9 5 8 -2 32
6 Greuther Furth 22 9 4 9 +2 31
7 Holstein Kiel 21 8 6 7 +2 30
8 Erzgebirge Aue 21 8 6 7 -1 30
9 Osnabruck 21 7 6 8 +3 27
10 Sandhausen 21 6 9 6 +0 27
11 Darmstadt 21 5 11 5 -4 26
12 Hannover 22 6 8 8 -7 26
13 Nurnberg 22 6 8 8 -8 26
14 St Pauli 22 5 8 9 -3 23
15 Bochum 21 5 8 8 -5 23
16 Wehen 22 5 6 11 -15 21
17 Karlsruhe 21 4 8 9 -12 20
18 Dresden 22 4 6 12 -17 18

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.

Odds comparison

Green columns are the outcomes that came in.

1X2
H
3,03
U
3,32
B ✓
2,30
Over/under goals
O1,5 ✓
O2,5 ✓
1,75
U2,5
2,05
U3,5 ✓
Both teams to score
BLS ja ✓
BLS nei

The analysis is a statistical estimate based on the teams' results and underlying performances (xG) — not a guarantee. See the model's results.