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2. Bundesliga
Referee: Lars Erbst
Karlsruhe
U T S U S
2–5
Full-time
Wolfsburg
U T U S U

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

⚠️ One of the teams has played few league matches recently (e.g. newly promoted). The analysis is therefore more uncertain than usual, and we give no recommendations for this match.
🔒 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

Karlsruhe Wolfsburg
Last 6 — all competitions · 6/6 matches
Win Ø 42%
50%
33%
Points per game
1,8
1,5
Over 2.5 Ø 67%
83%
50%
Both score Ø 67%
83%
50%
Average goals
2,7
2,3
Scored
1,5
1,3
Conceded
1,2
1,0
Goal diff per game
+0,3
+0,3
xG created Pro
xG conceded Pro
xG diff Pro
This season — 2. Bundesliga · 2/2 matches
Win Ø 50%
50%
50%
Points per game
2,0
2,0
Over 2.5 Ø 25%
50%
0%
Both score Ø 25%
50%
0%
Average goals
1,5
0,5
Scored
1,0
0,5
Conceded
0,5
0,0
Goal diff per game
+0,5
+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: 2–3

1,59 xG 3,03
42% Possession 58%
18 Shots 27
5 Shots on target 11
4 Blocked shots 10
6 Goalkeeper saves 3
10 Corners 8
3 Offside 0
13 Free kicks against 14
0 Yellow cards 1
0 Red cards 0
The table before the match Karlsruhe 3. · Wolfsburg 4.
# Team K V U T +/− xG +/− P
1 Hertha 3 3 0 0 +6 +1.4 9
2 Nurnberg 2 2 0 0 +5 -1.0 6
3 Karlsruhe 2 1 1 0 +1 -0.0 4
4 Wolfsburg 2 1 1 0 +1 +0.8 4
5 Braunschweig 3 1 0 2 +2 +1.5 3
6 Bielefeld 2 1 0 1 +2 +2.8 3
7 Cottbus 2 1 0 1 -1 -4.7 3
8 Bochum 3 1 0 2 -1 +1.0 3
9 Heidenheim 2 1 0 1 -2 -0.1 3
10 Magdeburg 2 1 0 1 -2 -1.4 3
11 Dresden 2 1 0 1 -2 -0.0 3
12 Osnabruck 3 1 0 2 -3 -2.3 3
13 Holstein Kiel 2 0 2 0 +0 +0.2 2
14 St Pauli 2 0 2 0 +0 +0.4 2
15 Kaiserslautern 2 0 2 0 +0 -0.1 2
16 Darmstadt 2 0 1 1 -1 -0.9 1
17 Greuther Furth 2 0 1 1 -2 +1.3 1
18 Hannover 2 0 0 2 -3 +1.3 0

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
3,20
U
3,70
B ✓
2,01
Over/under goals
O1,5 ✓
O2,5 ✓
1,50
U2,5
2,44
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.