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

Bielefeld Holstein Kiel
Last 6 — all competitions · 6/6 matches
Win Ø 59%
67%
50%
Points per game
2,2
1,5
Over 2.5 Ø 50%
17%
83%
Both score Ø 42%
33%
50%
Average goals
2,3
2,7
Scored
1,7
1,3
Conceded
0,7
1,3
Goal diff per game
+1,0
+0,0
This season — 2. Bundesliga · 11/11 matches
Win Ø 46%
55%
36%
Points per game
2,0
1,3
Over 2.5 Ø 55%
45%
64%
Both score Ø 64%
64%
64%
Average goals
3,1
2,5
Scored
2,0
1,2
Conceded
1,1
1,4
Goal diff per game
+0,9
-0,2
🔒 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

10 Shots 13
4 Shots on target 5
5 Corners 4
9 Free kicks against 9
2 Yellow cards 2
0 Red cards 0
The table before the match Bielefeld 2. · Holstein Kiel 12.
# Team K V U T +/− P
1 Hamburg 11 7 3 1 +18 24
2 Bielefeld 11 6 4 1 +10 22
3 Stuttgart 11 6 2 3 +1 20
4 Erzgebirge Aue 12 5 4 3 +1 19
5 Greuther Furth 12 5 3 4 -1 18
6 Heidenheim 12 4 5 3 +3 17
7 Regensburg 12 4 4 4 +4 16
8 Karlsruhe 12 3 6 3 -2 15
9 Nurnberg 11 3 5 3 +0 14
10 St Pauli 12 3 5 4 +0 14
11 Sandhausen 12 3 5 4 -1 14
12 Holstein Kiel 11 4 2 5 -2 14
13 Hannover 12 3 5 4 -4 14
14 Darmstadt 12 3 5 4 -4 14
15 Osnabruck 12 3 4 5 +1 13
16 Bochum 11 1 6 4 -4 9
17 Dresden 11 2 3 6 -9 9
18 Wehen 11 2 3 6 -11 9

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
3,94
B
3,72
Over/under goals
O1,5 ✓
O2,5 ✓
1,51
U2,5
2,51
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.