Sign in Register

VfL Bochum 2-1 Borussia Mönchengladbach – Result & Analysis

🎯

Fixture360 only lists fixtures from a curated set of leagues, chosen specifically to keep our prediction model accurate.

Bundesliga · Regular Season - 14

Kick-off

Tue 8 Nov 2022

19:30

Venue

Vonovia Ruhrstadion

Competition

Bundesliga

Germany

Status

FT
💬 Comment 📝 Notes
📋

Poisson model rates VfL Bochum at 42%, yet other data sources diverge — this VfL Bochum vs Borussia Mönchengladbach fixture contains genuine analytical tension.

✍️ Match Preview

Fixture Analysis

It is a Bundesliga clash, Regular Season - 14 as VfL Bochum welcome Borussia Mönchengladbach to Vonovia Ruhrstadion. Kick-off is set for Tuesday 8 November 2022 at 19:30 UTC.

Recent Form

Across all Bundesliga games this season, VfL Bochum have gone 2W 1D 7L from 10 outings — a 0.70 PPG return. Last five: W L W L L. They are averaging 0.80 goals per game and conceding 2.30 — a modest attacking output that tempers optimism on the Over 2.5 market. However, 2.30 goals conceded per game is a concern — opposing attacks have exploited them regularly. 1 clean sheet from 10 outings provides some defensive foundation. This season is still relatively young for VfL Bochum, so this record blends games from this season and last.

VfL Bochum at Vonovia Ruhrstadion this season: 3W 2D 5L from 10 home games — 1.10 PPG on home soil. At home they are averaging 0.90 goals scored and 1.80 conceded per game.

Borussia Mönchengladbach — All Games: 3W 3D 4L from 10 Bundesliga fixtures this season — 1.20 PPG. Last five: W D L L W. They are scoring at 1.70 per game and conceding 1.70. 2 clean sheets from 10 outings suggests some defensive organisation. Both teams have scored in 70% of their games — a noteworthy BTTS rate that supports the Yes market. This season is still relatively young for Borussia Mönchengladbach, so this record blends games from this season and last.

On the road, Borussia Mönchengladbach have gone 2W 6D 2L from 10 away fixtures this term (1.20 PPG). Away from home they average 1.50 goals scored and 1.60 conceded per game. Both teams have scored in 70% of their away matches — a high BTTS rate on the road that directly informs this fixture.

Despite the home advantage, the form figures favour Borussia Mönchengladbach — 0.50 PPG ahead of the hosts (1.20 vs 0.70). That gap is large enough to take seriously. Draw No Bet on the visitors neutralises home-ground risk while maintaining the form-backed selection.

H2H

The rivalry is an even one: 0 wins apiece for VfL Bochum, 2 for Borussia Mönchengladbach and 0 shared spoils from 2 past contests. Neither side holds a meaningful historical edge.

The 2 previous meetings have averaged 2.5 goals per game — a neutral rate that provides no strong lean on the goals market from the H2H alone. The most recent clash, on 18 Mar 2022, ended 0–2 with Borussia Mönchengladbach winning.

The head-to-head offers no strong directional steer in either the result or goals markets. Form, the predictive model and current market pricing should carry more weight than the historical record for this fixture.

In-Play Data

VfL Bochum trading profile (47 games, 23 at home): they score before half-time in 61% of fixtures in home games; when goalless at HT, a second-half goal follows 88% of the time; two or more arrive in the second half on 56% of those occasions; BTTS occurs in 44% of their matches (home games); Over 2.5 goals lands in 44% of games (home games); they fail to score in 40% of games.

Borussia Mönchengladbach trading profile (47 games, 23 at away): they score before half-time in 83% of fixtures in away games; when goalless at HT, a second-half goal follows 83% of the time; two or more arrive in the second half on 50% of those occasions; they lead at the break 47% of the time; BTTS occurs in 70% of their matches (away games); Over 2.5 goals lands in 56% of games (away games); Over 3.5 in 49%.

BTTS rates are mixed from the trading data — VfL Bochum 47% versus Borussia Mönchengladbach 70%; no strong lean in either direction. The over/under 2.5 picture is inconclusive from the in-play data (VfL Bochum 55% | Borussia Mönchengladbach 64%).

Poisson Model

The Poisson distribution model projects VfL Bochum 1.62 xG and Borussia Mönchengladbach 1.42 xG. These expected goals figures are the primary input: they feed a goal-probability matrix across all scoreline combinations to derive the result and market probabilities below. Underlying strength ratings: VfL Bochum attack 0.834 / defence 1.103 | Borussia Mönchengladbach attack 0.968 / defence 1.072. League average goals — home 1.816 / away 1.327. Data: 47 VfL Bochum games / 47 Borussia Mönchengladbach games used (CurrentSeason).

Result probabilities: VfL Bochum 42% | Draw 25% | Borussia Mönchengladbach 33%. Fair-value odds: VfL Bochum 2.38 | Draw 4.00 | Borussia Mönchengladbach 3.03. This is a low-confidence result — no outcome exceeds 45%. The draw at 25% is a primary outcome, not an afterthought.

Goals markets: Over 2.5 probability 59% | BTTS probability 61% | Total xG 3.04. Over 2.5 holds a meaningful probability edge at 59% — the 3.04 total xG provides moderate support, though the model is not projecting a high-scoring game. BTTS Yes at 61% reflects that both xG figures (1.62 / 1.42) are above the threshold where scoring blanks become the primary outcome — both sides are projected to find the net.

Our Verdict

Poisson rates VfL Bochum as the most likely outcome at 42% — marginal model lean. Note a divergence: in-form Borussia Mönchengladbach (1.20 PPG) cuts against the Poisson lean — consider the strength-adjusted model over surface-level form results. With a 25% draw probability, Draw No Bet on VfL Bochum offers a more defensible entry point than the straight win. The opposing side holds a 33% win probability per the model — this is not a banker and should be staked accordingly.

The Poisson model projects 3.04 xG in total — Over 2.5 at 59% — reasonable confidence, supported by form averaging 2.9 goals per game.

On the BTTS market, Poisson puts 61% on Yes. Form rates corroborate: VfL Bochum 40% | Borussia Mönchengladbach 70% BTTS from recent games.

The outsider holds a 33% win probability per the model — this is not a banker and should not be treated as one. Proportionate stakes are appropriate given the genuine contest the data projects.

🔮 Your Prediction

Sign in to submit your prediction and see how it compares to the rest of the community.

💡 Key Insights

H2H The H2H record is evenly balanced (0W–0D–2W), with no clear historical advantage.
H2H H2H history favours Borussia Mönchengladbach but Poisson model leans VfL Bochum — current-season strength data diverges from historical pattern.
Form Borussia Mönchengladbach lead on PPG: 1.20 vs 0.70 — in-form visitors may prove difficult to contain.
Form VfL Bochum Poisson xG (1.62) exceeds their recent form scoring rate (0.90) — the model sees more attacking threat than recent results show.
Form Form (PPG) favours Borussia Mönchengladbach but Poisson leans VfL Bochum (42%) — divergence worth monitoring.
BTTS Poisson BTTS probability is 61% — model favours both teams scoring.

🏟️ Match Context

• Fixture: VfL Bochum vs Borussia Mönchengladbach | Competition: Bundesliga, Regular Season - 14 | Venue: Vonovia Ruhrstadion • Kick-off: Tuesday 8 Nov 2022, 19:30 UTC • Data inputs: H2H history, form splits, prediction model signals, and market pricing

📊 Statistical Prediction

• Poisson result probabilities: VfL Bochum 42% | Draw 25% | Borussia Mönchengladbach 33% • Poisson goal markets: Over 2.5 59% | BTTS 61% | xG VfL Bochum 1.62 / Borussia Mönchengladbach 1.42 • Poisson strength factors: VfL Bochum attack 0.834 / def 1.103 | Borussia Mönchengladbach attack 0.968 / def 1.072 | league avg home 1.816 / away 1.327 • Poisson stance: VfL Bochum (42%) — low confidence — close contest

🧮 Prediction Model

1.62

VfL Bochum xG

Expected Goals

1.42

Borussia Mönchengladbach xG

42%
25%
33%
VfL Bochum Draw Borussia Mönchengladbach

61%

BTTS

81%

Over 1.5

59%

Over 2.5

36%

Over 3.5

Full score-by-score matrix & model internals in the "Full Poisson Detail" section below ↓

⚠️ This analysis is generated algorithmically from statistical data and is intended for informational purposes only. It does not constitute betting advice. Please gamble responsibly.

❓ Frequently Asked Questions

What time does VfL Bochum vs Borussia Mönchengladbach kick off?

VfL Bochum vs Borussia Mönchengladbach kicked off at 19:30 on Tuesday 8 November 2022 at Vonovia Ruhrstadion.

What was the final score in VfL Bochum vs Borussia Mönchengladbach?

VfL Bochum 2 - 1 Borussia Mönchengladbach.

Where is VfL Bochum vs Borussia Mönchengladbach being played?

The match is being played at Vonovia Ruhrstadion.

What competition is VfL Bochum vs Borussia Mönchengladbach part of?

VfL Bochum vs Borussia Mönchengladbach is a Regular Season - 14 fixture in the Bundesliga (Germany).

Who is favourite to win VfL Bochum vs Borussia Mönchengladbach?

Our statistical model gives VfL Bochum a 42% chance of winning, Borussia Mönchengladbach a 33% chance, and a 25% chance of a draw — making VfL Bochum the favourite.

Will both teams score in VfL Bochum vs Borussia Mönchengladbach?

Our model estimates a 61% probability that both VfL Bochum and Borussia Mönchengladbach will score (BTTS).

Will VfL Bochum vs Borussia Mönchengladbach have over 2.5 goals?

Our model puts the probability of over 2.5 goals in this match at 59%.

What is the head-to-head record between VfL Bochum and Borussia Mönchengladbach?

Record (2 meetings): VfL Bochum 0W | Draws 0 | Borussia Mönchengladbach 2W.

What form are VfL Bochum and Borussia Mönchengladbach in?

VfL Bochum (all comps): 2W-1D-7L in 10 | 0.70 PPG | GF 0.80 / GA 2.30 | L5 W-L-W-L-L. Borussia Mönchengladbach (all comps): 3W-3D-4L in 10 | 1.20 PPG | GF 1.70 / GA 1.70 | L5 W-D-L-L-W.

🧮 Model Insight

How the Model Works This Match

The model rates VfL Bochum's attack at 0.83x the league average against Borussia Mönchengladbach's defence at 1.07x — combine the two and it projects 1.62 expected goals for the hosts. The same calculation in reverse, Borussia Mönchengladbach's attack versus VfL Bochum's defence, projects 1.42 expected goals for the visitors.

These ratings are built from 47/47 games of current-season data — a full enough sample to trust.

Scoreline Breakdown

Of every possible scoreline, 1-1 carries the highest individual probability at 12.4% — still a long way from a near-certainty, which says something about how open this one is on paper. Close behind: 2-1 (8.9%), 1-2 (7.8%). Together the top three scorelines make up 29% of the probability — a moderately spread distribution, typical of a competitive match-up.

Most Likely Outcome

VfL Bochum Win

42%

VfL Bochum

2.37

25%

Draw

4.04

33%

Borussia Mönchengladbach

3.02

Top 3 Most Likely Scorelines

1 – 1

11.0%

Draw

Most likely

2 – 1

8.9%

Home win

1 – 0

7.8%

Home win

Expected Goals & Win Odds

1.62

VfL Bochum xG

Total xG

3.04

1.42

Borussia Mönchengladbach xG

42%
25%
33%
VfL BochumDrawBorussia Mönchengladbach

2.37

42%

Home win

4.04

25%

Draw

3.02

33%

Away win

Goals Markets

81%

Over 1.5

1.23

19%

Under 1.5

5.26

59%

Over 2.5

1.69

41%

Under 2.5

2.44

36%

Over 3.5

2.78

64%

Under 3.5

1.56

19%

Over 4.5

5.26

81%

Under 4.5

1.23

Match Markets

Both Teams to Score

61%

BTTS Yes

1.63

39%

BTTS No

2.58

Clean Sheet

24%

VfL Bochum

4.12

20%

Borussia Mönchengladbach

5.07

Win to Nil

10%

VfL Bochum

9.79

7%

Borussia Mönchengladbach

15.33

Score Probability Matrix (%)

H \ A 0 1 2 3 4 5
0 4.8 6.8 4.8 2.3 0.8 0.2
1 7.8 11.0 7.8 3.7 1.3 0.4
2 6.3 8.9 6.3 3.0 1.1 0.3
3 3.4 4.8 3.4 1.6 0.6 0.2
4 1.4 2.0 1.4 0.7 0.2 0.1
5 0.4 0.6 0.5 0.2 0.1

Green = home win Β· Grey = draw Β· Amber = away win Β· Outlined cell = most likely score

Model Internals
λ Home (xG) 1.624
λ Away (xG) 1.417
Total xG 3.041
League avg home goals 1.816
League avg away goals 1.327
VfL Bochum attack strength 0.834
VfL Bochum defence strength 1.103
Borussia Mönchengladbach attack strength 0.968
Borussia Mönchengladbach defence strength 1.072
Data phase CurrentSeason
Games used (H/A) 47 / 47

❓ Frequently Asked Questions

What is the most likely scoreline for VfL Bochum vs Borussia Mönchengladbach?

Our Poisson model rates 1-1 as the single most likely exact scoreline, at 12.4%.

How many goals are VfL Bochum and Borussia Mönchengladbach expected to score?

The model projects 1.62 expected goals for VfL Bochum and 1.42 for Borussia Mönchengladbach, a combined total of 3.04.

How confident is the prediction model for VfL Bochum vs Borussia Mönchengladbach?

Not very — the model's leading outcome sits at just 42%, meaning this is rated as a genuinely open contest with no dominant favourite.

📈 Form Insight

Form at a Glance

Across their last 47 outings, VfL Bochum have picked up 1.04 PPG on a 14W 7D 26L record — W-L-W-L-L across the most recent five. The sample for VfL Bochum is still a mix of this season and last, given how young the current campaign is.

Borussia Mönchengladbach's form line: 17W 13D 17L from 47 games, 1.36 PPG, last five W-D-L-L-W. The sample for Borussia Mönchengladbach is still a mix of this season and last, given how young the current campaign is.

Form-wise this is close to level: VfL Bochum on 1.04 PPG, Borussia Mönchengladbach on 1.36. Other factors will likely decide this one more than recent results.

Venue Form

On home soil, VfL Bochum have posted 1.52 PPG from 23 outings (10W 5D 8L). That's noticeably better than their 1.04 PPG overall — VfL Bochum are a different proposition at home than their general record suggests.

On the road, Borussia Mönchengladbach have gone 4W 9D 10L from 23 away games — 0.91 PPG when travelling. That's a step down from their 1.36 PPG overall record — away form has been the weaker part of Borussia Mönchengladbach's season.

Comparing the two in their relevant venue splits, VfL Bochum come out ahead — a more targeted read than the overall PPG figures above, since it strips out games played in the opposite context.

Goals in Recent Form

VfL Bochum are averaging 1.04 goals scored and 1.85 conceded per game recently; Borussia Mönchengladbach are on 1.64 scored and 1.72 conceded.

On BTTS specifically: Borussia Mönchengladbach in 70%.

Last 47 Results — Bundesliga

Current season: same league only · Previous season: all leagues (covers promoted/relegated teams)

VfL Bochum

VfL Bochum

Blended
W L W L L
Borussia Mönchengladbach

Borussia Mönchengladbach

Blended
W D L L W
47 Played 47
14/7/26 W / D / L 17/13/17
1.04 Points Per Game 1.36
1.04 Avg Goals Scored 1.64
1.85 Avg Goals Conceded 1.72
2.89 Avg Goals / Game 3.36
8 Clean Sheets 8
22 BTTS 33
26 Over 2.5 Games 30
VfL Bochum

VfL Bochum

L
A Borussia Dortmund
0–3 HT 0–3
05 Nov
L
A VfL Wolfsburg
0–4 HT 0–2
29 Oct
W
H Union Berlin
2–1 HT 1–0
23 Oct
L
A VfB Stuttgart
1–4 HT 1–2
15 Oct
W
H Eintracht Frankfurt
3–0 HT 0–0
08 Oct
L
A RB Leipzig
0–4 HT 0–2
01 Oct
D
H 1. FC Köln
1–1 HT 1–0
18 Sep
L
A FC Schalke 04
1–3 HT 0–1
10 Sep
L
H Werder Bremen
0–2 HT 0–0
03 Sep
L
A SC Freiburg
0–1 HT 0–0
26 Aug
L
H Bayern München
0–7 HT 0–4
21 Aug
L
A 1899 Hoffenheim
2–3 HT 2–2
13 Aug
L
H FSV Mainz 05
1–2 HT 1–1
06 Aug
L
A Union Berlin
2–3 HT 0–2
14 May
W
H Arminia Bielefeld
2–1 HT 1–1
06 May
W
A Borussia Dortmund
4–3 HT 2–2
30 Apr
L
H FC Augsburg
0–2 HT 0–2
24 Apr
L
A SC Freiburg
0–3 HT 0–2
16 Apr
D
H Bayer Leverkusen
0–0 HT 0–0
10 Apr
W
A 1899 Hoffenheim
2–1 HT 1–0
02 Apr
L
H Borussia Mönchengladbach
0–2 HT 0–0
18 Mar
L
A Eintracht Frankfurt
1–2 HT 1–0
13 Mar
W
H SpVgg Greuther Fürth
2–1 HT 1–0
05 Mar
L
H RB Leipzig
0–1 HT 0–0
27 Feb
D
A VfB Stuttgart
1–1 HT 0–0
19 Feb
W
H Bayern München
4–2 HT 4–1
12 Feb
D
A Hertha BSC
1–1 HT 0–1
04 Feb
D
H 1. FC Köln
2–2 HT 1–2
22 Jan
L
A FSV Mainz 05
0–1 HT 0–0
15 Jan
W
H VfL Wolfsburg
1–0 HT 0–0
09 Jan
L
H Union Berlin
0–1 HT 0–1
18 Dec
L
A Arminia Bielefeld
0–2 HT 0–0
14 Dec
D
H Borussia Dortmund
1–1 HT 1–0
11 Dec
W
A FC Augsburg
3–2 HT 3–0
04 Dec
W
H SC Freiburg
2–1 HT 0–0
27 Nov
L
A Bayer Leverkusen
0–1 HT 0–1
20 Nov
W
H 1899 Hoffenheim
2–0 HT 0–0
06 Nov
L
A Borussia Mönchengladbach
1–2 HT 0–2
31 Oct
W
H Eintracht Frankfurt
2–0 HT 1–0
24 Oct
W
A SpVgg Greuther Fürth
1–0 HT 0–0
16 Oct
L
A RB Leipzig
0–3 HT 0–0
02 Oct
D
H VfB Stuttgart
0–0 HT 0–0
26 Sep
L
A Bayern München
0–7 HT 0–4
18 Sep
L
H Hertha BSC
1–3 HT 0–2
12 Sep
L
A 1. FC Köln
1–2 HT 0–0
28 Aug
W
H FSV Mainz 05
2–0 HT 1–0
21 Aug
L
A VfL Wolfsburg
0–1 HT 0–1
14 Aug
Borussia Mönchengladbach

Borussia Mönchengladbach

W
H VfB Stuttgart
3–1 HT 2–1
04 Nov
L
A Union Berlin
1–2 HT 1–0
30 Oct
L
H Eintracht Frankfurt
1–3 HT 0–3
22 Oct
D
A VfL Wolfsburg
2–2 HT 1–1
15 Oct
W
H 1. FC Köln
5–2 HT 2–1
09 Oct
L
A Werder Bremen
1–5 HT 0–4
01 Oct
W
H RB Leipzig
3–0 HT 2–0
17 Sep
D
A SC Freiburg
0–0 HT 0–0
11 Sep
L
H FSV Mainz 05
0–1 HT 0–0
04 Sep
D
A Bayern München
1–1 HT 1–0
27 Aug
W
H Hertha BSC
1–0 HT 1–0
19 Aug
D
A FC Schalke 04
2–2 HT 0–1
13 Aug
W
H 1899 Hoffenheim
3–1 HT 1–1
06 Aug
W
H 1899 Hoffenheim
5–1 HT 3–1
14 May
D
A Eintracht Frankfurt
1–1 HT 1–0
08 May
W
H RB Leipzig
3–1 HT 2–1
02 May
D
A SC Freiburg
3–3 HT 2–0
23 Apr
L
H 1. FC Köln
1–3 HT 0–3
16 Apr
W
A SpVgg Greuther Fürth
2–0 HT 2–0
09 Apr
D
H FSV Mainz 05
1–1 HT 1–0
03 Apr
W
A VfL Bochum
2–0 HT 0–0
18 Mar
W
H Hertha BSC
2–0 HT 1–0
12 Mar
L
A VfB Stuttgart
2–3 HT 2–1
05 Mar
D
H VfL Wolfsburg
2–2 HT 1–2
26 Feb
L
A Borussia Dortmund
0–6 HT 0–2
20 Feb
W
H FC Augsburg
3–2 HT 1–0
12 Feb
D
A Arminia Bielefeld
1–1 HT 1–1
05 Feb
L
H Union Berlin
1–2 HT 1–1
22 Jan
L
H Bayer Leverkusen
1–2 HT 0–0
15 Jan
W
A Bayern München
2–1 HT 2–1
07 Jan
D
A 1899 Hoffenheim
1–1 HT 1–0
18 Dec
L
H Eintracht Frankfurt
2–3 HT 1–1
15 Dec
L
A RB Leipzig
1–4 HT 0–2
11 Dec
L
H SC Freiburg
0–6 HT 0–6
05 Dec
L
A 1. FC Köln
1–4 HT 0–0
27 Nov
W
H SpVgg Greuther Fürth
4–0 HT 3–0
20 Nov
D
A FSV Mainz 05
1–1 HT 1–0
05 Nov
W
H VfL Bochum
2–1 HT 2–0
31 Oct
L
A Hertha BSC
0–1 HT 0–1
23 Oct
D
H VfB Stuttgart
1–1 HT 1–1
16 Oct
W
A VfL Wolfsburg
3–1 HT 2–1
02 Oct
W
H Borussia Dortmund
1–0 HT 1–0
25 Sep
L
A FC Augsburg
0–1 HT 0–0
18 Sep
W
H Arminia Bielefeld
3–1 HT 1–1
12 Sep
L
A Union Berlin
1–2 HT 0–2
29 Aug
L
A Bayer Leverkusen
0–4 HT 0–2
21 Aug
D
H Bayern München
1–1 HT 1–1
13 Aug

❓ Frequently Asked Questions

What form are VfL Bochum and Borussia Mönchengladbach in coming into this match?

VfL Bochum have gone 14W 7D 26L in their last 47 games (1.04 PPG), while Borussia Mönchengladbach have gone 17W 13D 17L in their last 47 (1.36 PPG).

Which team has the better venue record — VfL Bochum at home or Borussia Mönchengladbach away?

VfL Bochum's home record (1.52 PPG) is the stronger of the two venue-specific splits — VfL Bochum at home: 1.52 PPG; Borussia Mönchengladbach away: 0.91 PPG.

⚔️ Rivalry Insight

Fixture History

8 meetings separate these sides on the data we hold, the series stretching back to October 2021. Every recorded meeting has come in Bundesliga. It has been a while since the last meeting — 25 January 2025, some 3 years back — so squads and form on both sides may look very different now.

Streaks & Records

There's a clear current trend here: Borussia Mönchengladbach have taken the last 5 head-to-head results.

The biggest gap between the sides came on 24 Feb 2024, when Borussia Mönchengladbach won 5-2 — the largest margin of victory on record between these two.

VfL Bochum's record when hosting Borussia Mönchengladbach specifically: 1W 0D 3L from 4 games — a narrower, venue-specific slice of the head-to-head picture.

Last 8 Meetings

VfL Bochum

1

VfL Bochum

0

Draws

Borussia Mönchengladbach

7

Borussia Mönchengladbach

Recent Meetings

Borussia Mönchengladbach
3–0
25 Jan 25
VfL Bochum
VfL Bochum
0–2
31 Aug 24
Borussia Mönchengladbach
Borussia Mönchengladbach
5–2
24 Feb 24
VfL Bochum
VfL Bochum
1–3
30 Sep 23
Borussia Mönchengladbach
Borussia Mönchengladbach
2–0
06 May 23
VfL Bochum
VfL Bochum
2–1
08 Nov 22
Borussia Mönchengladbach
VfL Bochum
0–2
18 Mar 22
Borussia Mönchengladbach
Borussia Mönchengladbach
2–1
31 Oct 21
VfL Bochum

❓ Frequently Asked Questions

What is the head-to-head record between VfL Bochum and Borussia Mönchengladbach?

From 8 meetings on record, VfL Bochum have won 1, Borussia Mönchengladbach have won 7, and 0 have been drawn.

When did VfL Bochum and Borussia Mönchengladbach last play each other?

They last met on 25 January 2025, when Borussia Mönchengladbach 3-0 VfL Bochum.

Who has won more matches between VfL Bochum and Borussia Mönchengladbach?

Borussia Mönchengladbach have the better head-to-head record, with 7 wins from 8 meetings.

📈 Trading Insight

First-Half Patterns

VfL Bochum are typically involved in an early goal — the half-time board shows at least one in 61% of their matches. They've gone in front at half-time 30% of the time.

Borussia Mönchengladbach are typically involved in an early goal — the half-time board shows at least one in 83% of their matches. They've gone in front at half-time 44% of the time, though they've let that lead slip 30% of the time they've held it — worth watching if they're only ahead by one.

Full-Time Trends

BTTS sits in mixed territory for this pairing — VfL Bochum 44%, Borussia Mönchengladbach 70% — no strong lean either way from the trading data alone.

Over 2.5 has been close to a coin-flip for both sides — 44% (VfL Bochum) and 56% (Borussia Mönchengladbach).

On the defensive side: VfL Bochum keep a clean sheet in 30% of their matches; VfL Bochum have failed to score in 35% of games.

📈

Current season: same league only. Previous season: all leagues (covers promoted/relegated teams). All = any venue  |  Venue = VfL Bochum home games / Borussia Mönchengladbach away games. HT metrics require half-time score data β€” shown as β€” where unavailable.

VfL Bochum VfL Bochum Blended
Metric All
(47 games)
Venue
(23 games)
Half-Time Metrics
1+ Goal Before HT 31/47
(66%)
14/23
(60.9%)
2+ Goals Before HT 18/47
(38.3%)
7/23
(30.4%)
0-0 HT → 1+ Goal 2nd Half 14/16
(87.5%)
7/9
(77.8%)
0-0 HT → 2+ Goals 2nd Half 9/16
(56.2%)
5/9
(55.6%)
Winning at HT 10/47
(21.3%)
7/23
(30.4%)
Lost Lead (Win HT → No Win FT) 3/47
(6.4%)
2/23
(8.7%)
Came From Behind (Lose HT → Draw/Win FT) 2/47
(4.3%)
1/23
(4.3%)
Full-Time Metrics
BTTS 22/47
(46.8%)
10/23
(43.5%)
Over 2.5 Goals 26/47
(55.3%)
10/23
(43.5%)
Over 3.5 Goals 13/47
(27.7%)
4/23
(17.4%)
Clean Sheet 8/47
(17%)
7/23
(30.4%)
Failed to Score 19/47
(40.4%)
8/23
(34.8%)
Borussia Mönchengladbach Borussia Mönchengladbach Blended
Metric All
(47 games)
Venue
(23 games)
Half-Time Metrics
1+ Goal Before HT 41/47
(87.2%)
19/23
(82.6%)
2+ Goals Before HT 29/47
(61.7%)
12/23
(52.2%)
0-0 HT → 1+ Goal 2nd Half 5/6
(83.3%)
3/4
(75%)
0-0 HT → 2+ Goals 2nd Half 3/6
(50%)
2/4
(50%)
Winning at HT 22/47
(46.8%)
10/23
(43.5%)
Lost Lead (Win HT → No Win FT) 8/47
(17%)
7/23
(30.4%)
Came From Behind (Lose HT → Draw/Win FT) 2/47
(4.3%)
1/23
(4.3%)
Full-Time Metrics
BTTS 33/47
(70.2%)
16/23
(69.6%)
Over 2.5 Goals 30/47
(63.8%)
13/23
(56.5%)
Over 3.5 Goals 23/47
(48.9%)
10/23
(43.5%)
Clean Sheet 8/47
(17%)
3/23
(13%)
Failed to Score 7/47
(14.9%)
5/23
(21.7%)

❓ Frequently Asked Questions

Do both teams usually score when VfL Bochum play Borussia Mönchengladbach?

Yes — based on recent matches, both teams have scored in 44% of VfL Bochum's games and 70% of Borussia Mönchengladbach's, a combined rate that favours BTTS Yes.

Is VfL Bochum vs Borussia Mönchengladbach usually a high-scoring fixture?

Not particularly — Over 2.5 goals has come in for only 44% of VfL Bochum's recent games and 56% of Borussia Mönchengladbach's, pointing to a tighter contest.

Do VfL Bochum and Borussia Mönchengladbach tend to score early?

VfL Bochum have had a goal before half-time in 61% of their recent matches, Borussia Mönchengladbach in 83% — a useful reference point for first-half goal markets.

📰

Prediction vindicated as VfL Bochum edge out Borussia Mönchengladbach 2-1.

📝 Match Report

How It Unfolded

VfL Bochum beat Borussia Mönchengladbach 2-1 at Vonovia Ruhrstadion, Regular Season - 14, in the Bundesliga. With the result on the board, the sections below measure it against everything the model and the numbers projected in advance.

The Model vs The Result

The Poisson model went into this projecting VfL Bochum 1.62 xG and Borussia Mönchengladbach 1.42 xG, a combined 3.04. The scoreboard read 2-1 for 3 actual goals. Both sides finished within a goal of their individual projections, so the scoreline sat close to the model's expected shape. Those figures were built on strength ratings of VfL Bochum attack 0.83 / defence 1.10 against Borussia Mönchengladbach attack 0.97 / defence 1.07, drawn from 47/47 games (CurrentSeason).

On the result, the model split it VfL Bochum 42% | Draw 25% | Borussia Mönchengladbach 33%, with VfL Bochum to win its most likely call at 42%. That is exactly how it finished — the model's leading outcome was vindicated.

Goals & Markets

The model rated Over 2.5 goals at 59%. The game delivered 3, so it went over — a call the model got right. Over 1.5 had been 81% and landed. On both teams to score, the model sat at 61% and the match saw both sides score — another call in the model's favour. Historically the two sides average 60% Over 2.5 across their same-competition games (VfL Bochum 55%, Borussia Mönchengladbach 64%), a base rate that agreed with today's over. Their combined BTTS history runs at 58%, which matched the both-scored outcome.

Trading Patterns vs Reality

VfL Bochum's trading profile (47 games, 23 home) set some clear expectations: BTTS lands in 47% of their matches — today it did.

Borussia Mönchengladbach's trading profile (47 games, 23 away) set some clear expectations: BTTS lands in 70% of their matches — today it did.

Form vs Result

The form lines were close — VfL Bochum 1.04 PPG, Borussia Mönchengladbach 1.36 PPG — offering no strong steer, and the VfL Bochum win broke the near-deadlock.

Verdict

Grading the result against the stored data, 3 of 3 pre-match signals came in: result (hit), Over 2.5 (hit), BTTS (hit). The numbers read this fixture well — the outcome largely followed the script the data laid out beforehand.

💡 Key Insights

Model Over/Under 2.5 landed as modelled — 59% Over 2.5 probability, 3 goals scored.
Model BTTS matched the model — 61% projected, both teams scored.
Trading Trading data backed up — the sides average 60% Over 2.5 historically, and this game went over.

⚠️ This match report is generated algorithmically from the final score, our prediction model, and each team's historical form and trading data. Analysis is for informational purposes only.