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2. Bundesliga
Regensburg
S U T U U
1–0
Full-time
Karlsruhe
T U S T T

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

Regensburg Karlsruhe
Last 6 — all competitions · 6/6 matches
Win Ø 25%
17%
33%
Points per game
1,0
1,2
Over 2.5 Ø 59%
50%
67%
Both score Ø 75%
83%
67%
Average goals
2,5
3,0
Scored
1,0
1,3
Conceded
1,5
1,7
Goal diff per game
-0,5
-0,3
This season — 2. Bundesliga · 2/2 matches
Win Ø 0%
0%
0%
Points per game
1,0
0,0
Over 2.5 Ø 0%
0%
0%
Both score Ø 25%
50%
0%
Average goals
1,0
1,5
Scored
0,5
0,0
Conceded
0,5
1,5
Goal diff per game
+0,0
-1,5
🔒 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: 1–0

9 Shots 11
3 Shots on target 4
1 Corners 3
17 Free kicks against 18
4 Yellow cards 5
1 Red cards 0
The table before the match Regensburg 13. · Karlsruhe 17.
# Team K V U T +/− P
1 Hamburg 2 2 0 0 +2 6
2 Sandhausen 3 2 0 1 +1 6
3 Osnabruck 3 1 2 0 +1 5
4 Bochum 3 1 2 0 +1 5
5 Erzgebirge Aue 2 1 1 0 +3 4
6 St Pauli 3 1 1 1 +1 4
7 Nurnberg 2 1 1 0 +1 4
8 Holstein Kiel 2 1 1 0 +1 4
9 Hannover 2 1 0 1 +1 3
10 Heidenheim 2 1 0 1 +0 3
11 Fortuna Dusseldorf 2 1 0 1 +0 3
12 Greuther Furth 2 0 2 0 +0 2
13 Regensburg 2 0 2 0 +0 2
14 Darmstadt 2 0 1 1 -1 1
15 Braunschweig 2 0 1 1 -2 1
16 Paderborn 2 0 0 2 -2 0
17 Karlsruhe 2 0 0 2 -3 0
18 Wurzburger Kickers 2 0 0 2 -4 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 ✓
2,41
U
3,32
B
2,87
Over/under goals
U1,5 ✓
O2,5
1,82
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.