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2. Bundesliga
Sandhausen
T S T T T
0–0
Full-time
Karlsruhe
U S S S S

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

Sandhausen Karlsruhe
Last 6 — all competitions · 6/6 matches
Win Ø 42%
17%
67%
Points per game
0,5
2,2
Over 2.5 Ø 75%
50%
100%
Both score Ø 58%
33%
83%
Average goals
2,7
4,0
Scored
0,7
2,5
Conceded
2,0
1,5
Goal diff per game
-1,3
+1,0
This season — 2. Bundesliga · 2/2 matches
Win Ø 50%
0%
100%
Points per game
0,0
3,0
Over 2.5 Ø 75%
50%
100%
Both score Ø 25%
0%
50%
Average goals
2,5
3,5
Scored
0,0
3,0
Conceded
2,5
0,5
Goal diff per game
-2,5
+2,5
🔒 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: 0–0

9 Shots 9
3 Shots on target 3
3 Corners 4
15 Free kicks against 8
3 Yellow cards 1
0 Red cards 0
The table before the match Sandhausen 17. · Karlsruhe 2.
# Team K V U T +/− P
1 St Pauli 3 2 1 0 +4 7
2 Karlsruhe 2 2 0 0 +5 6
3 Regensburg 2 2 0 0 +5 6
4 Dresden 2 1 1 0 +3 4
5 Hamburg 3 1 1 1 +1 4
6 Schalke 04 3 1 1 1 +1 4
7 Werder Bremen 2 1 1 0 +1 4
8 Heidenheim 2 1 1 0 +1 4
9 Fortuna Dusseldorf 2 1 0 1 +1 3
10 Hansa Rostock 2 1 0 1 +1 3
11 Erzgebirge Aue 3 0 3 0 +0 3
12 Paderborn 2 0 2 0 +0 2
13 Nurnberg 2 0 2 0 +0 2
14 Hannover 2 0 1 1 -3 1
15 Ingolstadt 2 0 0 2 -4 0
16 Darmstadt 2 0 0 2 -5 0
17 Sandhausen 2 0 0 2 -5 0
18 Holstein Kiel 2 0 0 2 -6 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 ✓
3,45
B
2,17
Over/under goals
U1,5 ✓
O2,5
1,82
U2,5 ✓
1,99
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.