← Match Finder
Bundesliga
Referee: Robert Hartmann
Hamburg
U T T S U
4–0
Full-time
Mainz
U T S T S

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

Hamburg Mainz
Last 6 — all competitions · 6/6 matches
Win Ø 42%
33%
50%
Points per game
1,3
1,7
Over 2.5 Ø 42%
50%
33%
Both score Ø 42%
33%
50%
Average goals
2,2
2,7
Scored
0,7
1,7
Conceded
1,5
1,0
Goal diff per game
-0,8
+0,7
xG created Pro
xG conceded Pro
xG diff Pro
This season — Bundesliga · 5/5 matches
Win Ø 20%
20%
20%
Points per game
1,0
0,8
Over 2.5 Ø 30%
40%
20%
Both score Ø 30%
20%
40%
Average goals
2,0
2,2
Scored
0,4
1,0
Conceded
1,6
1,2
Goal diff per game
-1,2
-0,2
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.

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: 2–0

1,91 xG 0,67
35% Possession 65%
15 Shots 11
9 Shots on target 4
1 Blocked shots 3
4 Goalkeeper saves 5
1 Corners 4
3 Offside 3
14 Free kicks against 13
2 Yellow cards 3
0 Red cards 0
The table before the match Hamburg 15. · Mainz 16.
# Team K V U T +/− xG +/− P
1 Bayern Munich 6 6 0 0 +22 +13.5 18
2 Dortmund 6 4 2 0 +8 +5.1 14
3 RB Leipzig 6 4 1 1 +0 +2.1 13
4 Stuttgart 6 4 0 2 +2 +2.0 12
5 Leverkusen 6 3 2 1 +4 +3.9 11
6 FC Koln 6 3 1 2 +2 -1.4 10
7 Ein Frankfurt 6 3 0 3 +1 +0.9 9
8 Freiburg 5 2 1 2 +0 +1.0 7
9 St Pauli 6 2 1 3 -1 -0.2 7
10 Hoffenheim 6 2 1 3 -3 -1.1 7
11 Werder Bremen 6 2 1 3 -5 -4.3 7
12 Union Berlin 6 2 1 3 -5 -5.0 7
13 Augsburg 6 2 0 4 -2 -7.4 6
14 Wolfsburg 6 1 2 3 -2 +0.1 5
15 Hamburg 5 1 2 2 -6 -4.7 5
16 Mainz 5 1 1 3 -1 +1.0 4
17 Heidenheim 6 1 0 5 -7 -4.9 3
18 M'gladbach 5 0 2 3 -7 -0.7 2

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

Hamburg Mainz
1–0 A. S. Lokonga
G. Gocholeishvili
6′
2–0 R. Philippe
R. Konigsdorffer
10′
Daniel Elfadli 🟨
17′
42′
🟨 Jae-sung Lee
Half-time 2–0
48′
🟨 Dominik Kohr
50′
🔁 N. Weiper
↦ P. Mwene
3–0 J. Dompe
N. Capaldo
52′
61′
🔁 A. Sieb
↦ B. Hollerbach
4–0 R. Philippe
N. Remberg
61′
J. Meffert 🔁
↦ A. S. Lokonga
62′
62′
🔁 S. Bell
↦ D. Kohr
Nicolai Remberg 🟨
65′
65′
🟨 Nadiem Amiri
R. Glatzel 🔁
↦ R. Konigsdorffer
67′
F. Balde 🔁
↦ J. Dompe
68′
71′
🔁 N. Veratschnig
↦ Lee Jae-Sung
W. Mikelbrencis 🔁
↦ G. Gocholeishvili
82′
A. Rossing-Lelesiit 🔁
↦ R. Philippe
82′
82′
🔁 L. Maloney
↦ N. Amiri
Full-time 4–0

Line-ups

Hamburg

3-4-3
1 D. Heuer Fernandes G
24 N. Capaldo D
44 L. Vuskovic D
8 D. Elfadli D
16 G. Gocholeishvili M
6 A. S. Lokonga M
21 N. Remberg M
28 M. Muheim M
14 R. Philippe F
11 R. Konigsdorffer F
7 J. Dompe F
Bench (9)
26 D. Peretz
13 G. Ramos
2 W. Mikelbrencis
23 J. Meffert
10 I. Pherai
45 F. Balde
38 A. Rossing-Lelesiit
15 Y. Poulsen
9 R. Glatzel

Coach: Merlin Polzin

Mainz

3-4-2-1
1 L. Riess G
21 D. da Costa D
25 A. Hanche-Olsen D
31 D. Kohr D
9 A. Nordin M
6 K. Sano M
10 N. Amiri M
2 P. Mwene M
8 P. Nebel F
7 Lee Jae-Sung F
17 B. Hollerbach F
Bench (9)
33 D. Batz
16 S. Bell
30 S. Widmer
15 L. Maloney
22 N. Veratschnig
11 A. Sieb
14 W. Boving
37 B. Bobzien
44 N. Weiper

Coach: Bo Bjørnholt Henriksen

Odds comparison

Green columns are the outcomes that came in.

1X2
H ✓
2,76
U
3,54
B
2,36
Over/under goals
O1,5 ✓
O2,5 ✓
1,69
U2,5
2,10
O3,5 ✓
Both teams to score
BLS ja
BLS nei ✓

Referee

Robert Hartmann · 70 kamper i vår database

🟨 Yellow cards
3,6 / match
Average
⚽ Free kicks
21,8 / match
Average

🟥 Red cards: 0,13 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.