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

Retrospective analysis — the model is trained only on matches played before this one.

🔒 Who wins? Pro

The model's probabilities for a home win, draw and away win — with reasoning and recommended markets.

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Team trends

Fortuna Dusseldorf Holstein Kiel
Last 6 — all competitions · 6/6 matches
Win Ø 25%
33%
17%
Points per game
1,2
0,5
Over 2.5 Ø 75%
67%
83%
Both score Ø 42%
50%
33%
Average goals
3,5
3,5
Scored
1,8
0,7
Conceded
1,7
2,8
Goal diff per game
+0,2
-2,2
This season — 2. Bundesliga · 3/3 matches
Win Ø 17%
33%
0%
Points per game
1,0
0,0
Over 2.5 Ø 67%
33%
100%
Both score Ø 17%
33%
0%
Average goals
3,0
3,0
Scored
1,3
0,0
Conceded
1,7
3,0
Goal diff per game
-0,3
-3,0
🔒 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: 1–1

19 Shots 9
4 Shots on target 5
9 Corners 2
8 Free kicks against 7
1 Yellow cards 3
0 Red cards 0
The table before the match Fortuna Dusseldorf 14. · Holstein Kiel 18.
# Team K V U T +/− P
1 Regensburg 3 3 0 0 +8 9
2 Dresden 3 2 1 0 +5 7
3 Karlsruhe 3 2 1 0 +5 7
4 St Pauli 3 2 1 0 +4 7
5 Paderborn 3 1 2 0 +3 5
6 Nurnberg 3 1 2 0 +2 5
7 Heidenheim 3 1 2 0 +1 5
8 Hamburg 3 1 1 1 +1 4
9 Schalke 04 3 1 1 1 +1 4
10 Hansa Rostock 3 1 1 1 +1 4
11 Werder Bremen 3 1 1 1 -2 4
12 Darmstadt 3 1 0 2 +0 3
13 Erzgebirge Aue 3 0 3 0 +0 3
14 Fortuna Dusseldorf 3 1 0 2 -1 3
15 Hannover 3 0 1 2 -5 1
16 Sandhausen 3 0 1 2 -5 1
17 Ingolstadt 3 0 0 3 -9 0
18 Holstein Kiel 3 0 0 3 -9 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
1,83
U ✓
3,72
B
4,10
Over/under goals
O1,5 ✓
O2,5 ✓
1,71
U2,5
2,11
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.