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2. Bundesliga
Referee: L Benen
Bochum
U U T S T
2–0
Full-time
Elversberg
S S U 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.

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Team trends

Bochum Elversberg
Last 6 — all competitions · 6/6 matches
Win Ø 42%
17%
67%
Points per game
0,8
2,2
Over 2.5 Ø 58%
33%
83%
Both score Ø 59%
50%
67%
Average goals
2,5
3,0
Scored
0,8
2,0
Conceded
1,7
1,0
Goal diff per game
-0,8
+1,0
xG created Pro
xG conceded Pro
xG diff Pro
This season — 2. Bundesliga · 1/1 matches
Win Ø 50%
0%
100%
Points per game
0,0
3,0
Over 2.5 Ø 50%
100%
0%
Both score Ø 50%
100%
0%
Average goals
5,0
1,0
Scored
1,0
1,0
Conceded
4,0
0,0
Goal diff per game
-3,0
+1,0
🔒 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: 0–0

2,60 xG 0,18
58% Possession 42%
16 Shots 3
6 Shots on target 1
6 Blocked shots 0
1 Goalkeeper saves 5
10 Corners 0
1 Offside 2
24 Free kicks against 11
8 Yellow cards 5
0 Red cards 1
The table before the match Bochum 17. · Elversberg 7.
# Team K V U T +/− xG +/− P
1 Darmstadt 2 2 0 0 +4 +0.9 6
2 Hannover 2 2 0 0 +3 +2.5 6
3 Braunschweig 2 2 0 0 +2 -1.1 6
4 Paderborn 2 1 1 0 +1 +2.8 4
5 Bielefeld 1 1 0 0 +4 +2.2 3
6 Karlsruhe 1 1 0 0 +1 +0.1 3
7 Elversberg 1 1 0 0 +1 -0.4 3
8 Greuther Furth 2 1 0 1 +0 -0.2 3
9 Schalke 04 2 1 0 1 +0 +0.8 3
10 Magdeburg 2 1 0 1 +0 -0.5 3
11 Kaiserslautern 2 1 0 1 +0 -0.2 3
12 Preußen Münster 2 0 1 1 -1 -2.5 1
13 Holstein Kiel 1 0 0 1 -1 -0.4 0
14 Hertha 1 0 0 1 -1 -1.7 0
15 Dresden 2 0 0 2 -2 +1.8 0
16 Nurnberg 2 0 0 2 -2 +0.1 0
17 Bochum 1 0 0 1 -3 -0.6 0
18 Fortuna Dusseldorf 2 0 0 2 -6 -3.5 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.

Recent head-to-head meetings

18. Oct -22 Elversberg – Bochum 0–1

Match report

Bochum Elversberg
2′
🟨 Jan Gyamerah
6′
🟨 Jan Gyamerah
6′
🟥 Jan Gyamerah
Kevin Vogt 🟨
21′
Mats Pannewig 🟨
22′
Leandro Morgalla 🟨
24′
Ibrahima Sissoko 🟨
35′
Kacper Kościerski 🟨
45′
Half-time 0–0
G. Holtmann 🔁
↦ M. Clairicia
46′
K. Miyoshi 🔁
↦ K. Koscierski
46′
53′
🔁 F. Le Joncour
↦ L. Schnellbacher
Philipp Strompf 🟨
56′
61′
🟨 Lukas Finn Pinckert
1–0 I. Sissoko
66′
69′
🔁 J. Malanga
↦ B. Conte
69′
🔁 Y. Ebnoutalib
↦ L. Gunther
69′
🔁 F. Keidel
↦ T. Zimmerschied
74′
🟨 Maximilian Rohr
K. Watjen 🔁
↦ M. Pannewig
76′
Kjell Wätjen 🟨
77′
Koji Miyoshi 🟨
84′
R. Rosch 🔁
↦ L. Morgalla
84′
84′
🔁 L. Poreba
↦ C. Sickinger
89′
🟨 Amara Condé
2–0 G. Holtmann
K. Miyoshi
90′
C. Lenz 🔁
↦ M. Bero
93′
Full-time 2–0

Line-ups

Bochum

3-5-2
1 T. Horn G
39 L. Morgalla D
7 K. Vogt D
3 P. Strompf D
35 K. Koscierski M
24 M. Pannewig M
6 I. Sissoko M
19 M. Bero M
32 M. Wittek M
14 M. Clairicia F
29 M. Broschinski F
Bench (9)
22 N. Thiede
8 K. Watjen
9 I. Sissoko
17 G. Holtmann
20 N. Loosli
23 K. Miyoshi
26 R. Rosch
33 P. Hofmann
34 C. Lenz

Coach: Uwe Rosler

Elversberg

4-2-3-1
20 N. Kristof G
30 J. Gyamerah D
19 L. Pinckert D
31 M. Rohr D
21 L. Gunther D
6 A. Conde M
23 C. Sickinger M
25 L. Petkov M
10 B. Conte M
29 T. Zimmerschied M
24 L. Schnellbacher F
Bench (9)
28 T. Boss
2 N. Mickelson
3 F. Le Joncour
8 L. Poreba
11 J. Ceka
14 J. Malanga
17 F. Schmahl
22 Y. Ebnoutalib
43 F. Keidel

Coach: Vincent Wagner

Odds comparison

Green columns are the outcomes that came in.

1X2
H ✓
1,94
U
3,64
B
3,39
Over/under goals
O1,5 ✓
O2,5
1,64
U2,5 ✓
2,13
U3,5 ✓
Both teams to score
BLS ja
BLS nei ✓

Referee

L Benen · 21 kamper i vår database

🟨 Yellow cards
4,5 / match
Average
⚽ Free kicks
26,1 / match
Average

🟥 Red cards: 0,40 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.