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Bundesliga
Referee: F Willenborg
Holstein Kiel
T U T T T
1–0
Full-time
Heidenheim
T T S U 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.

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Team trends

Holstein Kiel Heidenheim
Last 6 — all competitions · 6/6 matches
Win Ø 17%
0%
33%
Points per game
0,3
1,2
Over 2.5 Ø 67%
83%
50%
Both score Ø 59%
67%
50%
Average goals
3,7
2,2
Scored
1,2
1,0
Conceded
2,5
1,2
Goal diff per game
-1,3
-0,2
xG created Pro
xG conceded Pro
xG diff Pro
This season — Bundesliga · 8/8 matches
Win Ø 19%
0%
38%
Points per game
0,3
1,3
Over 2.5 Ø 63%
75%
50%
Both score Ø 50%
75%
25%
Average goals
4,1
2,9
Scored
1,3
1,5
Conceded
2,9
1,4
Goal diff per game
-1,6
+0,1
xG created Pro
xG conceded Pro
xG diff Pro
🔒 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

1,09 xG 1,23
45% Possession 55%
11 Shots 17
6 Shots on target 4
1 Blocked shots 3
4 Goalkeeper saves 5
5 Corners 6
1 Offside 0
16 Free kicks against 14
4 Yellow cards 5
0 Red cards 0
The table before the match Holstein Kiel 17. · Heidenheim 10.
# Team K V U T +/− xG +/− P
1 Bayern Munich 8 6 2 0 +22 +13.9 20
2 RB Leipzig 8 6 2 0 +11 +2.9 20
3 Leverkusen 9 4 4 1 +5 +9.0 16
4 Union Berlin 8 4 3 1 +4 -0.3 15
5 Freiburg 8 5 0 3 +2 +4.4 15
6 Ein Frankfurt 8 4 2 2 +4 +1.0 14
7 Stuttgart 9 3 4 2 +1 +1.5 13
8 Dortmund 8 4 1 3 +1 +2.8 13
9 Werder Bremen 8 3 3 2 -2 +0.2 12
10 Heidenheim 8 3 1 4 +1 +1.0 10
11 M'gladbach 8 3 1 4 -2 -0.6 10
12 Augsburg 8 3 1 4 -7 -0.9 10
13 Mainz 8 2 3 3 -1 -4.3 9
14 Wolfsburg 8 2 2 4 -1 -2.0 8
15 Hoffenheim 8 2 2 4 -4 -7.6 8
16 St Pauli 8 1 2 5 -6 -4.8 5
17 Holstein Kiel 8 0 2 6 -13 -6.5 2
18 Bochum 8 0 1 7 -15 -9.6 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.

Match report

Holstein Kiel Heidenheim
17′
🟨 Tim Siersleben
1–0 P. Erras
M. Geschwill
28′
33′
🟨 Benedikt Gimber
Armin Gigović 🟨
35′
Nicolai Remberg 🟨
38′
Half-time 1–0
L. Rosenboom 🔁
↦ T. Becker
46′
F. Porath 🔁
↦ A. Gigović
46′
46′
🔁 M. Honsak
↦ T. Siersleben
48′
ℹ️ Jonas Föhrenbach
VAR: Penalty cancelled
Finn Porath 🟨
59′
67′
🟨 Patrick Mainka
70′
🟨 Jan Schöppner
74′
🔁 M. Kaufmann
↦ B. Gimber
74′
🔁 M. Breunig
↦ N. Dorsch
76′
🟨 Marvin Pieringer
M. Komenda 🔁
↦ T. Puchacz
78′
M. Schulz 🔁
↦ S. Skrzybski
78′
Magnus Knudsen 🟨
84′
B. Pichler 🔁
↦ P. Harres
85′
85′
🔁 S. Conteh
↦ M. Pieringer
85′
🔁 A. Beck
↦ P. Wanner
Full-time 1–0

Line-ups

Holstein Kiel

3-5-2
1 T. Weiner G
6 M. Ivezić D
4 P. Erras D
14 M. Geschwill D
17 T. Becker M
37 A. Gigović M
24 M. Knudsen M
22 N. Remberg M
27 T. Puchacz M
7 S. Skrzybski F
19 P. Harres F
Bench (9)
23 L. Rosenboom
8 F. Porath
3 M. Komenda
15 M. Schulz
9 B. Pichler
18 S. Machino
31 M. Engelhardt
33 D. Javorček
21 T. Dähne

Coach: M. Rapp

Heidenheim

3-4-2-1
1 K. Müller G
6 P. Mainka D
5 B. Gimber D
4 T. Siersleben D
23 O. Traoré M
39 N. Dorsch M
3 J. Schöppner M
19 J. Föhrenbach M
10 P. Wanner F
8 Léo Scienza F
18 M. Pieringer F
Bench (9)
17 M. Honsak
29 M. Kaufmann
14 M. Breunig
31 S. Conteh
21 A. Beck
30 N. Theuerkauf
9 S. Schimmer
22 V. Eicher
20 L. Kerber

Coach: F. Schmidt

Odds comparison

Green columns are the outcomes that came in.

1X2
H ✓
2,79
U
3,49
B
2,51
Over/under goals
U1,5 ✓
O2,5
1,76
U2,5 ✓
2,11
U3,5 ✓
Both teams to score
BLS ja
BLS nei ✓

Referee

F Willenborg · 102 kamper i vår database

🟨 Yellow cards
4,3 / match
Above average
⚽ Free kicks
22,7 / match
Average

🟥 Red cards: 0,12 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.