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2. Bundesliga
Holstein Kiel
S S T U U
2–2
Full-time
Heidenheim
U T U T 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

Holstein Kiel Heidenheim
Last 6 — all competitions · 6/6 matches
Win Ø 25%
33%
17%
Points per game
1,5
0,8
Over 2.5 Ø 42%
33%
50%
Both score Ø 67%
67%
67%
Average goals
2,2
2,8
Scored
1,2
1,3
Conceded
1,0
1,5
Goal diff per game
+0,2
-0,2
This season — 2. Bundesliga · 7/7 matches
Win Ø 36%
43%
29%
Points per game
1,7
1,1
Over 2.5 Ø 36%
29%
43%
Both score Ø 57%
57%
57%
Average goals
2,0
2,7
Scored
1,1
1,4
Conceded
0,9
1,3
Goal diff per game
+0,3
+0,1
🔒 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

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

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
2,31
U ✓
3,31
B
3,05
Over/under goals
O1,5 ✓
O2,5 ✓
1,85
U2,5
1,93
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.