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

Heidenheim Regensburg
Last 6 — all competitions · 6/6 matches
Win Ø 50%
67%
33%
Points per game
2,2
1,0
Over 2.5 Ø 67%
50%
83%
Both score Ø 67%
50%
83%
Average goals
2,8
4,0
Scored
1,8
1,7
Conceded
1,0
2,3
Goal diff per game
+0,8
-0,7
This season — 2. Bundesliga · 11/11 matches
Win Ø 41%
45%
36%
Points per game
1,6
1,4
Over 2.5 Ø 55%
45%
64%
Both score Ø 60%
55%
64%
Average goals
2,7
3,1
Scored
1,5
1,5
Conceded
1,2
1,5
Goal diff per game
+0,4
+0,0
🔒 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

10 Shots 10
3 Shots on target 4
3 Corners 5
7 Free kicks against 8
0 Yellow cards 0
0 Red cards 0
The table before the match Heidenheim 6. · Regensburg 11.
# Team K V U T +/− P
1 Holstein Kiel 11 6 4 1 +8 22
2 Greuther Furth 11 6 3 2 +11 21
3 Bochum 11 6 2 3 +9 20
4 Hamburg 11 6 2 3 +5 20
5 Osnabruck 11 5 4 2 +3 19
6 Heidenheim 11 5 3 3 +4 18
7 Fortuna Dusseldorf 11 5 2 4 -5 17
8 Nurnberg 11 4 4 3 +4 16
9 Karlsruhe 11 5 1 5 +4 16
10 Erzgebirge Aue 11 4 4 3 +3 16
11 Regensburg 11 4 3 4 +0 15
12 Paderborn 11 4 2 5 +1 14
13 Hannover 11 4 1 6 -1 13
14 Darmstadt 11 3 3 5 -4 12
15 Sandhausen 11 3 2 6 -9 11
16 Braunschweig 11 3 2 6 -13 11
17 St Pauli 11 1 5 5 -6 8
18 Wurzburger Kickers 11 1 1 9 -14 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
1,84
U ✓
3,54
B
4,21
Over/under goals
U1,5 ✓
O2,5
1,75
U2,5 ✓
2,06
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.