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2. Bundesliga
Holstein Kiel
T T T T U
3–0
Full-time

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 Erzgebirge Aue
Last 6 — all competitions · 6/6 matches
Win Ø 17%
17%
17%
Points per game
0,7
1,0
Over 2.5 Ø 67%
83%
50%
Both score Ø 42%
33%
50%
Average goals
3,3
2,0
Scored
0,7
0,7
Conceded
2,7
1,3
Goal diff per game
-2,0
-0,7
This season — 2. Bundesliga · 4/4 matches
Win Ø 0%
0%
0%
Points per game
0,3
0,8
Over 2.5 Ø 63%
100%
25%
Both score Ø 38%
25%
50%
Average goals
3,3
1,5
Scored
0,5
0,5
Conceded
2,8
1,0
Goal diff per game
-2,3
-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: 2–0

18 Shots 17
9 Shots on target 1
6 Corners 5
13 Free kicks against 14
0 Yellow cards 5
0 Red cards 0
The table before the match Holstein Kiel 18. · Erzgebirge Aue 17.
# Team K V U T +/− P
1 Regensburg 4 4 0 0 +11 12
2 Dresden 4 3 1 0 +7 10
3 Nurnberg 5 2 3 0 +3 9
4 Paderborn 4 2 2 0 +5 8
5 Karlsruhe 5 2 2 1 +4 8
6 St Pauli 4 2 1 1 +2 7
7 Hamburg 4 1 2 1 +1 5
8 Heidenheim 4 1 2 1 +0 5
9 Werder Bremen 4 1 2 1 -2 5
10 Darmstadt 4 1 1 2 +0 4
11 Fortuna Dusseldorf 4 1 1 2 -1 4
12 Hansa Rostock 4 1 1 2 -1 4
13 Schalke 04 4 1 1 2 -2 4
14 Hannover 4 1 1 2 -4 4
15 Sandhausen 5 1 1 3 -5 4
16 Ingolstadt 5 1 1 3 -7 4
17 Erzgebirge Aue 4 0 3 1 -2 3
18 Holstein Kiel 4 0 1 3 -9 1

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 ✓
1,75
U
3,74
B
4,48
Over/under goals
O1,5 ✓
O2,5 ✓
1,73
U2,5
2,11
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.