← Match Finder
Bundesliga
Referee: F Exner
Holstein Kiel
S U S S T
0–2
Full-time
Wolfsburg
S T T S T

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

⚠️ One of the teams has played few league matches recently (e.g. newly promoted). The analysis is therefore more uncertain than usual, and we give no recommendations for this match.
🔒 Who wins? Pro

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

Unlock with Pro

Already have an account? Log in

Team trends

Holstein Kiel Wolfsburg
Last 6 — all competitions · 6/6 matches
Win Ø 50%
50%
50%
Points per game
1,7
1,5
Over 2.5 Ø 67%
67%
67%
Both score Ø 67%
83%
50%
Average goals
3,3
3,0
Scored
1,7
1,5
Conceded
1,7
1,5
Goal diff per game
+0,0
+0,0
xG created Pro
xG conceded Pro
xG diff Pro
This season — Bundesliga · 1/1 matches
Win Ø 0%
0%
0%
Points per game
0,0
0,0
Over 2.5 Ø 100%
100%
100%
Both score Ø 100%
100%
100%
Average goals
5,0
5,0
Scored
2,0
2,0
Conceded
3,0
3,0
Goal diff per game
-1,0
-1,0
🔒 Goal markets Pro

Expected goals, over/under and both teams to score — priced by the model before kick-off.

Unlock with Pro

Already have an account? Log in

🔒 Most likely result Pro

The model's top final scores with the best bookmaker odds.

Unlock with Pro

Already have an account? Log in

Match stats

Half-time score: 0–2

1,10 xG 1,29
54% Possession 46%
12 Shots 12
5 Shots on target 4
2 Blocked shots 4
2 Goalkeeper saves 5
1 Corners 7
2 Offside 1
17 Free kicks against 14
4 Yellow cards 7
0 Red cards 0
The table before the match Holstein Kiel 14. · Wolfsburg 12.
# Team K V U T +/− xG +/− P
1 Union Berlin 2 1 1 0 +1 -0.4 4
2 Freiburg 1 1 0 0 +2 +1.6 3
3 Dortmund 1 1 0 0 +2 +0.7 3
4 Heidenheim 1 1 0 0 +2 +0.2 3
5 Bayern Munich 1 1 0 0 +1 +0.4 3
6 Leverkusen 1 1 0 0 +1 +1.1 3
7 Hoffenheim 1 1 0 0 +1 +1.8 3
8 RB Leipzig 1 1 0 0 +1 +0.3 3
9 Augsburg 1 0 1 0 +0 -0.4 1
10 Werder Bremen 1 0 1 0 +0 +0.4 1
11 Mainz 1 0 1 0 +0 +0.9 1
12 Wolfsburg 1 0 0 1 -1 -0.4 0
13 M'gladbach 1 0 0 1 -1 -1.1 0
14 Holstein Kiel 1 0 0 1 -1 -1.8 0
15 Bochum 1 0 0 1 -1 -0.3 0
16 Stuttgart 1 0 0 1 -2 -1.6 0
17 Ein Frankfurt 1 0 0 1 -2 -0.7 0
18 St Pauli 2 0 0 2 -3 -0.7 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.

Match report

Holstein Kiel Wolfsburg
19′
🟨 Mattias Svanberg
27′
M. Arnold 0–1
30′
S. Bornauw 0–2
M. Arnold
35′
🟨 Patrick Wimmer
41′
🟨 Ridle Baku
42′
🟨 Kilian Fischer
Half-time 0–2
46′
🔁 S. Özcan
↦ L. Majer
M. Geschwill 🔁
↦ M. Komenda
46′
Alexander Bernhardsson 🟨
48′
51′
🟨 Tiago Tomás
Magnus Knudsen 🟨
58′
F. Arp 🔁
↦ A. Bernhardsson
63′
A. Gigović 🔁
↦ F. Porath
63′
74′
🔁 J. Wind
↦ M. Svanberg
N. Remberg 🔁
↦ M. Knudsen
75′
77′
🟨 Cedric Zesiger
80′
🔁 Y. Gerhardt
↦ R. Baku
80′
🔁 B. Dárdai
↦ Tiago Tomás
L. Rosenboom 🔁
↦ L. Holtby
86′
88′
🟨 Maximilian Arnold
Jann-Fiete Arp 🟨
97′
Max Geschwill 🟨
99′
Full-time 0–2

Line-ups

Holstein Kiel

4-4-2
1 T. Weiner G
17 T. Becker D
5 C. Johansson D
4 P. Erras D
3 M. Komenda D
8 F. Porath M
10 L. Holtby M
24 M. Knudsen M
11 A. Bernhardsson M
9 B. Pichler F
18 S. Machino F
Bench (9)
14 M. Geschwill
20 F. Arp
37 A. Gigović
22 N. Remberg
23 L. Rosenboom
6 M. Ivezić
27 T. Puchacz
15 M. Schulz
21 T. Dähne

Coach: M. Rapp

Wolfsburg

4-2-3-1
1 K. Grabara G
2 K. Fischer D
3 S. Bornauw D
5 C. Zesiger D
16 J. Kamiński D
27 M. Arnold M
32 M. Svanberg M
20 R. Baku M
19 L. Majer M
11 Tiago Tomás M
39 P. Wimmer F
Bench (9)
8 S. Özcan
23 J. Wind
31 Y. Gerhardt
24 B. Dárdai
29 M. Müller
33 D. Odogu
22 M. Angély
17 K. Behrens
38 B. Bröger

Coach: R. Hasenhüttl

Odds comparison

Green columns are the outcomes that came in.

1X2
H
3,20
U
3,69
B ✓
2,18
Over/under goals
O1,5 ✓
O2,5
1,70
U2,5 ✓
2,18
U3,5 ✓
Both teams to score
BLS ja
BLS nei ✓

Referee

F Exner · 51 kamper i vår database

🟨 Yellow cards
4,7 / match
Above average
⚽ Free kicks
23,5 / match
Average

🟥 Red cards: 0,27 per match

The analysis is a statistical estimate based on the teams' results and underlying performances (xG) — not a guarantee. See the model's results.