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2. Bundesliga
Holstein Kiel
T U U U S
3–1
Full-time
Bochum
S S T 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

Holstein Kiel Bochum
Last 6 — all competitions · 6/6 matches
Win Ø 50%
33%
67%
Points per game
1,5
2,0
Over 2.5 Ø 59%
50%
67%
Both score Ø 59%
67%
50%
Average goals
2,8
3,5
Scored
1,7
2,3
Conceded
1,2
1,2
Goal diff per game
+0,5
+1,2
This season — 2. Bundesliga · 9/9 matches
Win Ø 50%
44%
56%
Points per game
1,8
1,9
Over 2.5 Ø 50%
44%
56%
Both score Ø 50%
56%
44%
Average goals
2,3
2,9
Scored
1,4
1,9
Conceded
0,9
1,0
Goal diff per game
+0,6
+0,9
🔒 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: 1–1

12 Shots 17
6 Shots on target 7
4 Corners 5
11 Free kicks against 18
0 Yellow cards 1
0 Red cards 0
The table before the match Holstein Kiel 4. · Bochum 2.
# Team K V U T +/− P
1 Greuther Furth 9 5 3 1 +9 18
2 Bochum 9 5 2 2 +8 17
3 Hamburg 9 5 2 2 +5 17
4 Holstein Kiel 9 4 4 1 +5 16
5 Osnabruck 9 4 4 1 +2 16
6 Erzgebirge Aue 9 4 3 2 +5 15
7 Paderborn 9 4 2 3 +6 14
8 Karlsruhe 9 4 1 4 +4 13
9 Heidenheim 9 3 3 3 +2 12
10 Regensburg 9 3 3 3 -1 12
11 Darmstadt 9 3 3 3 -2 12
12 Fortuna Dusseldorf 9 3 2 4 -7 11
13 Nurnberg 9 2 4 3 +1 10
14 Hannover 9 3 1 5 -1 10
15 Sandhausen 9 2 2 5 -7 8
16 Braunschweig 9 2 2 5 -12 8
17 St Pauli 9 1 4 4 -5 7
18 Wurzburger Kickers 9 1 1 7 -12 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 ✓
2,50
U
3,40
B
2,72
Over/under goals
O1,5 ✓
O2,5 ✓
1,70
U2,5
2,12
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.