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

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

Hannover 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%
67%
50%
Both score Ø 67%
50%
83%
Average goals
2,8
2,8
Scored
1,5
1,5
Conceded
1,3
1,3
Goal diff per game
+0,2
+0,2
This season — 2. Bundesliga · 8/8 matches
Win Ø 38%
38%
38%
Points per game
1,3
1,6
Over 2.5 Ø 51%
63%
38%
Both score Ø 57%
50%
63%
Average goals
2,8
2,3
Scored
1,5
1,3
Conceded
1,3
1,0
Goal diff per game
+0,3
+0,3
🔒 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

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

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
2,08
U
3,56
B ✓
3,31
Over/under goals
O1,5 ✓
O2,5 ✓
1,66
U2,5
2,20
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.