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2. Bundesliga
3–1
Full-time
Braunschweig
T S T U T

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

Erzgebirge Aue Braunschweig
Last 6 — all competitions · 6/6 matches
Win Ø 34%
50%
17%
Points per game
1,7
0,7
Over 2.5 Ø 75%
67%
83%
Both score Ø 50%
50%
50%
Average goals
3,3
3,3
Scored
2,2
0,8
Conceded
1,2
2,5
Goal diff per game
+1,0
-1,7
This season — 2. Bundesliga · 13/13 matches
Win Ø 31%
38%
23%
Points per game
1,5
0,9
Over 2.5 Ø 66%
54%
77%
Both score Ø 50%
46%
54%
Average goals
2,7
3,2
Scored
1,5
1,0
Conceded
1,2
2,2
Goal diff per game
+0,4
-1,2
🔒 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

9 Shots 12
6 Shots on target 3
4 Corners 6
11 Free kicks against 12
2 Yellow cards 4
0 Red cards 0
The table before the match Erzgebirge Aue 7. · Braunschweig 15.
# Team K V U T +/− P
1 Holstein Kiel 13 8 4 1 +11 28
2 Bochum 14 8 2 4 +11 26
3 Hamburg 13 8 2 3 +10 26
4 Greuther Furth 13 7 3 3 +10 24
5 Fortuna Dusseldorf 13 7 2 4 +1 23
6 Heidenheim 14 6 4 4 +3 22
7 Erzgebirge Aue 13 5 4 4 +5 19
8 Karlsruhe 14 6 1 7 +2 19
9 Nurnberg 14 5 4 5 +2 19
10 Osnabruck 13 5 4 4 -1 19
11 Paderborn 13 5 3 5 +2 18
12 Darmstadt 14 5 3 6 +1 18
13 Hannover 13 5 2 6 +1 17
14 Regensburg 13 4 5 4 +0 17
15 Braunschweig 13 3 3 7 -16 12
16 Sandhausen 13 3 2 8 -15 11
17 St Pauli 12 1 5 6 -9 8
18 Wurzburger Kickers 13 1 1 11 -18 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 ✓
1,87
U
3,65
B
3,93
Over/under goals
O1,5 ✓
O2,5 ✓
1,73
U2,5
2,08
O3,5 ✓
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.