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2. Bundesliga
Hannover
S T U T T
1–1
Full-time

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

🔒 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

Hannover Erzgebirge Aue
Last 6 — all competitions · 6/6 matches
Win Ø 25%
33%
17%
Points per game
1,2
0,7
Over 2.5 Ø 50%
50%
50%
Both score Ø 50%
33%
67%
Average goals
2,0
2,8
Scored
1,0
1,0
Conceded
1,0
1,8
Goal diff per game
+0,0
-0,8
This season — 2. Bundesliga · 11/11 matches
Win Ø 18%
27%
9%
Points per game
1,0
0,6
Over 2.5 Ø 45%
45%
45%
Both score Ø 41%
27%
55%
Average goals
2,2
2,4
Scored
0,7
0,7
Conceded
1,5
1,6
Goal diff per game
-0,7
-0,9
🔒 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: 1–1

11 Shots 18
5 Shots on target 3
5 Corners 7
15 Free kicks against 9
4 Yellow cards 2
0 Red cards 0
The table before the match Hannover 14. · Erzgebirge Aue 17.
# Team K V U T +/− P
1 St Pauli 11 8 1 2 +17 25
2 Regensburg 11 6 4 1 +12 22
3 Schalke 04 12 7 1 4 +8 22
4 Nurnberg 12 5 6 1 +7 21
5 Darmstadt 12 6 2 4 +13 20
6 Paderborn 11 5 3 3 +9 18
7 Hamburg 11 4 6 1 +5 18
8 Heidenheim 12 5 3 4 -4 18
9 Karlsruhe 11 4 4 3 +2 16
10 Fortuna Dusseldorf 11 4 3 4 +0 15
11 Werder Bremen 11 4 3 4 -1 15
12 Dresden 11 4 1 6 -2 13
13 Hansa Rostock 11 3 2 6 -8 11
14 Hannover 11 3 2 6 -8 11
15 Holstein Kiel 11 2 4 5 -10 10
16 Sandhausen 11 2 3 6 -12 9
17 Erzgebirge Aue 11 1 4 6 -10 7
18 Ingolstadt 11 1 2 8 -18 5

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
1,71
U ✓
3,72
B
4,67
Over/under goals
O1,5 ✓
O2,5
1,83
U2,5 ✓
1,97
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.