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VfL Bochum 1-3 Borussia Mönchengladbach – Result & Analysis

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Bundesliga · Regular Season - 6

Kick-off

Sat 30 Sep 2023

14:30

Venue

Vonovia Ruhrstadion

Competition

Bundesliga

Germany

Status

FT
💬 Comment 📝 Notes
📋

Poisson model rates VfL Bochum at 51%, 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 - 6 as VfL Bochum welcome Borussia Mönchengladbach to Vonovia Ruhrstadion. Kick-off is set for Saturday 30 September 2023 at 14:30 UTC.

Recent Form

Across all Bundesliga games this season, VfL Bochum have gone 2W 5D 3L from 10 outings — a 1.10 PPG return. Last five: L D D D L. They are averaging 1.20 goals per game and conceding 2.20 — a modest attacking output that tempers optimism on the Over 2.5 market. However, 2.20 goals conceded per game is a concern — opposing attacks have exploited them regularly. 1 clean sheet from 10 outings provides some defensive foundation. Both teams have scored in 60% of their games — a high BTTS rate that carries real weight in the goals markets. VfL Bochum have played only a handful of Bundesliga games so far this season, so this record also draws on matches from last season.

VfL Bochum at Vonovia Ruhrstadion this season: 3W 3D 4L from 10 home games — 1.20 PPG on home soil. At home they are averaging 1.30 goals scored and 1.70 conceded per game. BTTS has landed in 60% of their home matches — a rate that supports the Yes angle in this fixture.

Borussia Mönchengladbach — All Games: 2W 3D 5L from 10 Bundesliga fixtures this season — 0.90 PPG. Last five: D L L D L. They are scoring at 1.70 per game and conceding 2.20. Conceding 2.20 per game is a high rate — their defensive vulnerabilities have been exposed regularly this season. 2 clean sheets from 10 outings suggests some defensive organisation. Both teams have scored in 60% of their games — a noteworthy BTTS rate that supports the Yes market. Borussia Mönchengladbach have played only a handful of Bundesliga games so far this season, so this record also draws on matches from last season.

On the road, Borussia Mönchengladbach have gone 0W 5D 5L from 10 away fixtures this term (0.50 PPG). Away from home they average 1.40 goals scored and 2.80 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.

There is minimal separation in the form figures — VfL Bochum at 1.10 PPG versus Borussia Mönchengladbach's 0.90. The form guide is not providing a strong directional steer; the model and market data will carry more weight in the final assessment.

The BTTS market is worth targeting here. VfL Bochum register both teams scoring in 60% of relevant matches, Borussia Mönchengladbach in 70% (using home/away splits) — both sides above the 60% threshold gives BTTS Yes firm statistical grounding.

H2H

The rivalry is an even one: 1 wins apiece for VfL Bochum, 3 for Borussia Mönchengladbach and 0 shared spoils from 4 past contests. Neither side holds a meaningful historical edge.

The 4 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 6 May 2023, 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 (39 games, 19 at home): they score before half-time in 79% of fixtures in home games; when goalless at HT, a second-half goal follows 100% of the time; two or more arrive in the second half on 57% of those occasions; BTTS occurs in 63% of their matches (home games); Over 2.5 goals lands in 58% of games (home games); Over 3.5 in 38%; they fail to score in 36% of games.

Borussia Mönchengladbach trading profile (39 games, 19 at away): they score before half-time in 79% of fixtures in away games; when goalless at HT, a second-half goal follows 60% of the time; BTTS occurs in 74% of their matches (away games); Over 2.5 goals lands in 74% of games (away games); Over 3.5 in 46%.

BTTS rates are mixed from the trading data — VfL Bochum 51% versus Borussia Mönchengladbach 59%; no strong lean in either direction. The over/under 2.5 picture is inconclusive from the in-play data (VfL Bochum 59% | Borussia Mönchengladbach 64%).

Poisson Model

The Poisson distribution model projects VfL Bochum 2.25 xG and Borussia Mönchengladbach 1.65 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 0.885 / defence 0.924 | Borussia Mönchengladbach attack 1.219 / defence 1.285. League average goals — home 1.979 / away 1.461. Borussia Mönchengladbach bring a strong defensive rating of 1.285 — this is suppressing VfL Bochum's projected output below what their attack strength alone would suggest. Borussia Mönchengladbach have an above-average attack strength of 1.219 — the away xG of 1.65 is driven by genuine attacking quality on the road. Data: 39 VfL Bochum games / 39 Borussia Mönchengladbach games used (CurrentSeason).

Result probabilities: VfL Bochum 51% | Draw 22% | Borussia Mönchengladbach 28%. Fair-value odds: VfL Bochum 1.96 | Draw 4.55 | Borussia Mönchengladbach 3.57. VfL Bochum hold a narrow Poisson edge at 51% — the draw (22%) is close enough to merit draw-inclusive market consideration.

Goals markets: Over 2.5 probability 75% | BTTS probability 73% | Total xG 3.90. Over 2.5 is the model's clear signal at 75% — a total xG of 3.90 means the expected score alone exceeds the 2.5 threshold, making the Over not just likely but structurally supported by both sides' attack/defence profiles. BTTS Yes at 73% reflects that both xG figures (2.25 / 1.65) 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 51% — moderate model lean. With a 22% draw probability, Draw No Bet on VfL Bochum offers a more defensible entry point than the straight win. The opposing side holds a 28% win probability per the model — this is not a banker and should be staked accordingly.

The Poisson model projects 3.90 xG in total — Over 2.5 at 75% — reasonable confidence, supported by form averaging 3.6 goals per game.

On the BTTS market, Poisson puts 73% on Yes. Form rates corroborate: VfL Bochum 60% | Borussia Mönchengladbach 70% BTTS from recent games.

🔮 Your Prediction

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💡 Key Insights

H2H The H2H record is evenly balanced (1W–0D–3W), 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 VfL Bochum Poisson xG (2.25) exceeds their recent form scoring rate (1.30) — the model sees more attacking threat than recent results show.
BTTS BTTS Yes is supported by both form (VfL Bochum 6/10, Borussia Mönchengladbach 7/10) and Poisson model (73%).
Goals Poisson Over 2.5 probability is 75% — the model favours goals in this fixture.
BTTS Poisson BTTS probability is 73% — model favours both teams scoring.

🏟️ Match Context

• Fixture: VfL Bochum vs Borussia Mönchengladbach | Competition: Bundesliga, Regular Season - 6 | Venue: Vonovia Ruhrstadion • Kick-off: Saturday 30 Sep 2023, 14:30 UTC • Data inputs: H2H history, form splits, prediction model signals, and market pricing

📊 Statistical Prediction

• Poisson result probabilities: VfL Bochum 51% | Draw 22% | Borussia Mönchengladbach 28% • Poisson goal markets: Over 2.5 75% | BTTS 73% | xG VfL Bochum 2.25 / Borussia Mönchengladbach 1.65 • Poisson strength factors: VfL Bochum attack 0.885 / def 0.924 | Borussia Mönchengladbach attack 1.219 / def 1.285 | league avg home 1.979 / away 1.461 • Poisson stance: VfL Bochum (51%) — moderate lean

🧮 Prediction Model

2.25

VfL Bochum xG

Expected Goals

1.65

Borussia Mönchengladbach xG

51%
22%
28%
VfL Bochum Draw Borussia Mönchengladbach

73%

BTTS

91%

Over 1.5

75%

Over 2.5

55%

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 14:30 on Saturday 30 September 2023 at Vonovia Ruhrstadion.

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

VfL Bochum 1 - 3 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 - 6 fixture in the Bundesliga (Germany).

Who is favourite to win VfL Bochum vs Borussia Mönchengladbach?

Our statistical model gives VfL Bochum a 51% chance of winning, Borussia Mönchengladbach a 28% chance, and a 22% chance of a draw — making VfL Bochum the favourite.

Will both teams score in VfL Bochum vs Borussia Mönchengladbach?

Our model estimates a 73% 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 75%.

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

Record (4 meetings): VfL Bochum 1W | Draws 0 | Borussia Mönchengladbach 3W.

What form are VfL Bochum and Borussia Mönchengladbach in?

VfL Bochum (all comps): 2W-5D-3L in 10 | 1.10 PPG | GF 1.20 / GA 2.20 | L5 L-D-D-D-L. Borussia Mönchengladbach (all comps): 2W-3D-5L in 10 | 0.90 PPG | GF 1.70 / GA 2.20 | L5 D-L-L-D-L.

🧮 Model Insight

How the Model Works This Match

The model rates VfL Bochum's attack at 0.89x the league average against Borussia Mönchengladbach's defence at 1.28x — combine the two and it projects 2.25 expected goals for the hosts. The same calculation in reverse, Borussia Mönchengladbach's attack versus VfL Bochum's defence, projects 1.65 expected goals for the visitors.

These ratings are built from 39/39 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 8.5% — still a long way from a near-certainty, which says something about how open this one is on paper. Close behind: 2-1 (8.5%), 2-2 (7.0%). Together the top three scorelines make up 24% of the probability — a moderately spread distribution, typical of a competitive match-up.

Most Likely Outcome

VfL Bochum Win

51%

VfL Bochum

1.96

22%

Draw

4.64

28%

Borussia Mönchengladbach

3.63

Top 3 Most Likely Scorelines

2 – 1

8.5%

Home win

Most likely

1 – 1

7.5%

Draw

2 – 2

7.0%

Draw

Expected Goals & Win Odds

2.25

VfL Bochum xG

Total xG

3.90

1.65

Borussia Mönchengladbach xG

51%
22%
28%
VfL BochumDrawBorussia Mönchengladbach

1.96

51%

Home win

4.64

22%

Draw

3.63

28%

Away win

Goals Markets

90%

Over 1.5

1.11

10%

Under 1.5

10.00

75%

Over 2.5

1.33

25%

Under 2.5

4.00

55%

Over 3.5

1.82

45%

Under 3.5

2.22

35%

Over 4.5

2.86

65%

Under 4.5

1.54

Match Markets

Both Teams to Score

73%

BTTS Yes

1.37

27%

BTTS No

3.69

Clean Sheet

19%

VfL Bochum

5.18

11%

Borussia Mönchengladbach

9.49

Win to Nil

10%

VfL Bochum

10.18

3%

Borussia Mönchengladbach

34.41

Score Probability Matrix (%)

H \ A 0 1 2 3 4 5
0 2.0 3.3 2.8 1.5 0.6 0.2
1 4.6 7.5 6.2 3.4 1.4 0.5
2 5.1 8.5 7.0 3.8 1.6 0.5
3 3.9 6.4 5.2 2.9 1.2 0.4
4 2.2 3.6 2.9 1.6 0.7 0.2
5 1.0 1.6 1.3 0.7 0.3 0.1

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

Model Internals
λ Home (xG) 2.250
λ Away (xG) 1.645
Total xG 3.895
League avg home goals 1.979
League avg away goals 1.461
VfL Bochum attack strength 0.885
VfL Bochum defence strength 0.924
Borussia Mönchengladbach attack strength 1.219
Borussia Mönchengladbach defence strength 1.285
Data phase CurrentSeason
Games used (H/A) 39 / 39

❓ 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 8.5%.

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

The model projects 2.25 expected goals for VfL Bochum and 1.65 for Borussia Mönchengladbach, a combined total of 3.90.

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

Not very — the model's leading outcome sits at just 51%, meaning this is rated as a genuinely open contest with no dominant favourite.

📈 Form Insight

Form at a Glance

Across their last 39 outings, VfL Bochum have picked up 0.97 PPG on a 10W 8D 21L record — L-D-D-D-L across the most recent five. It's still early in the season for VfL Bochum, so this record blends in a handful of games from last season too.

Borussia Mönchengladbach's form line: 11W 12D 16L from 39 games, 1.15 PPG, last five D-L-L-D-L. It's still early in the season for Borussia Mönchengladbach, so this record blends in a handful of games from last season too.

Form-wise this is close to level: VfL Bochum on 0.97 PPG, Borussia Mönchengladbach on 1.15. Other factors will likely decide this one more than recent results.

Venue Form

On home soil, VfL Bochum have posted 1.47 PPG from 19 outings (8W 4D 7L). That's noticeably better than their 0.97 PPG overall — VfL Bochum are a different proposition at home than their general record suggests.

On the road, Borussia Mönchengladbach have gone 1W 9D 9L from 19 away games — 0.63 PPG when travelling. That's a step down from their 1.15 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 1.13 goals scored and 2.26 conceded per game recently; Borussia Mönchengladbach are on 1.54 scored and 1.74 conceded.

Last 39 Results — Bundesliga

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

VfL Bochum

VfL Bochum

Early Season
L D D D L
Borussia Mönchengladbach

Borussia Mönchengladbach

Early Season
D L L D L
39 Played 39
10/8/21 W / D / L 11/12/16
0.97 Points Per Game 1.15
1.13 Avg Goals Scored 1.54
2.26 Avg Goals Conceded 1.74
3.38 Avg Goals / Game 3.28
5 Clean Sheets 9
20 BTTS 23
23 Over 2.5 Games 25
VfL Bochum

VfL Bochum

L
A Bayern München
0–7 HT 0–4
23 Sep
D
H Eintracht Frankfurt
1–1 HT 0–0
16 Sep
D
A FC Augsburg
2–2 HT 1–1
02 Sep
D
H Borussia Dortmund
1–1 HT 1–0
26 Aug
L
A VfB Stuttgart
0–5 HT 0–2
19 Aug
W
H Bayer Leverkusen
3–0 HT 2–0
27 May
D
A Hertha BSC
1–1 HT 0–0
20 May
W
H FC Augsburg
3–2 HT 1–1
13 May
L
A Borussia Mönchengladbach
0–2 HT 0–1
06 May
D
H Borussia Dortmund
1–1 HT 1–1
28 Apr
L
H VfL Wolfsburg
1–5 HT 0–3
22 Apr
D
A Union Berlin
1–1 HT 0–1
16 Apr
L
H VfB Stuttgart
2–3 HT 0–1
09 Apr
D
A Eintracht Frankfurt
1–1 HT 1–1
31 Mar
W
H RB Leipzig
1–0 HT 0–0
18 Mar
W
A 1. FC Köln
2–0 HT 1–0
10 Mar
L
H FC Schalke 04
0–2 HT 0–1
04 Mar
L
A Werder Bremen
0–3 HT 0–2
25 Feb
L
H SC Freiburg
0–2 HT 0–1
18 Feb
L
A Bayern München
0–3 HT 0–1
11 Feb
W
H 1899 Hoffenheim
5–2 HT 3–0
04 Feb
L
A FSV Mainz 05
2–5 HT 0–3
28 Jan
L
A Bayer Leverkusen
0–2 HT 0–1
25 Jan
W
H Hertha BSC
3–1 HT 2–0
21 Jan
W
A FC Augsburg
1–0 HT 0–0
12 Nov
W
H Borussia Mönchengladbach
2–1 HT 2–0
08 Nov
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
Borussia Mönchengladbach

Borussia Mönchengladbach

L
H RB Leipzig
0–1 HT 0–0
23 Sep
D
A SV Darmstadt 98
3–3 HT 0–3
17 Sep
L
H Bayern München
1–2 HT 1–0
02 Sep
L
H Bayer Leverkusen
0–3 HT 0–2
26 Aug
D
A FC Augsburg
4–4 HT 3–3
19 Aug
W
H FC Augsburg
2–0 HT 2–0
27 May
D
A Bayer Leverkusen
2–2 HT 0–2
21 May
L
A Borussia Dortmund
2–5 HT 0–4
13 May
W
H VfL Bochum
2–0 HT 1–0
06 May
L
A VfB Stuttgart
1–2 HT 0–1
29 Apr
L
H Union Berlin
0–1 HT 0–0
23 Apr
D
A Eintracht Frankfurt
1–1 HT 1–0
15 Apr
W
H VfL Wolfsburg
2–0 HT 1–0
09 Apr
D
A 1. FC Köln
0–0 HT 0–0
02 Apr
D
H Werder Bremen
2–2 HT 0–0
17 Mar
L
A RB Leipzig
0–3 HT 0–0
11 Mar
D
H SC Freiburg
0–0 HT 0–0
04 Mar
L
A FSV Mainz 05
0–4 HT 0–1
24 Feb
W
H Bayern München
3–2 HT 1–1
18 Feb
L
A Hertha BSC
1–4 HT 1–1
12 Feb
D
H FC Schalke 04
0–0 HT 0–0
04 Feb
W
A 1899 Hoffenheim
4–1 HT 2–0
28 Jan
L
A FC Augsburg
0–1 HT 0–0
25 Jan
L
H Bayer Leverkusen
2–3 HT 0–2
22 Jan
W
H Borussia Dortmund
4–2 HT 3–2
11 Nov
L
A VfL Bochum
1–2 HT 0–2
08 Nov
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

❓ Frequently Asked Questions

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

VfL Bochum have gone 10W 8D 21L in their last 39 games (0.97 PPG), while Borussia Mönchengladbach have gone 11W 12D 16L in their last 39 (1.15 PPG).

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

VfL Bochum's home record (1.47 PPG) is the stronger of the two venue-specific splits — VfL Bochum at home: 1.47 PPG; Borussia Mönchengladbach away: 0.63 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 79% of their matches. They've gone in front at half-time 37% of the time.

Borussia Mönchengladbach are typically involved in an early goal — the half-time board shows at least one in 79% of their matches. They've also shown some fight from behind, salvaging a draw or win after trailing at half-time in 16% of those situations.

Full-Time Trends

Both teams scoring has been the norm for this pairing lately — VfL Bochum at 63%, Borussia Mönchengladbach at 74%. That combined rate makes BTTS Yes a well-supported trading angle.

Goals have flowed in these teams' recent matches — Over 2.5 has landed at 58% for VfL Bochum and 74% for Borussia Mönchengladbach. Stepping up a level, Over 3.5 has also landed reasonably often — 32% and 53% respectively — worth a look for goal-hungry markets.

On the defensive side: Borussia Mönchengladbach in 26%.

📈

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 Early Season
Metric All
(39 games)
Venue
(19 games)
Half-Time Metrics
1+ Goal Before HT 32/39
(82.1%)
15/19
(78.9%)
2+ Goals Before HT 20/39
(51.3%)
9/19
(47.4%)
0-0 HT → 1+ Goal 2nd Half 7/7
(100%)
4/4
(100%)
0-0 HT → 2+ Goals 2nd Half 4/7
(57.1%)
3/4
(75%)
Winning at HT 8/39
(20.5%)
7/19
(36.8%)
Lost Lead (Win HT → No Win FT) 2/39
(5.1%)
2/19
(10.5%)
Came From Behind (Lose HT → Draw/Win FT) 1/39
(2.6%)
0/19
(0%)
Full-Time Metrics
BTTS 20/39
(51.3%)
12/19
(63.2%)
Over 2.5 Goals 23/39
(59%)
11/19
(57.9%)
Over 3.5 Goals 15/39
(38.5%)
6/19
(31.6%)
Clean Sheet 5/39
(12.8%)
3/19
(15.8%)
Failed to Score 14/39
(35.9%)
4/19
(21.1%)
Borussia Mönchengladbach Borussia Mönchengladbach Early Season
Metric All
(39 games)
Venue
(19 games)
Half-Time Metrics
1+ Goal Before HT 29/39
(74.4%)
15/19
(78.9%)
2+ Goals Before HT 19/39
(48.7%)
9/19
(47.4%)
0-0 HT → 1+ Goal 2nd Half 6/10
(60%)
2/4
(50%)
0-0 HT → 2+ Goals 2nd Half 2/10
(20%)
1/4
(25%)
Winning at HT 13/39
(33.3%)
4/19
(21.1%)
Lost Lead (Win HT → No Win FT) 4/39
(10.3%)
3/19
(15.8%)
Came From Behind (Lose HT → Draw/Win FT) 3/39
(7.7%)
3/19
(15.8%)
Full-Time Metrics
BTTS 23/39
(59%)
14/19
(73.7%)
Over 2.5 Goals 25/39
(64.1%)
14/19
(73.7%)
Over 3.5 Goals 18/39
(46.2%)
10/19
(52.6%)
Clean Sheet 9/39
(23.1%)
2/19
(10.5%)
Failed to Score 11/39
(28.2%)
5/19
(26.3%)

❓ Frequently Asked Questions

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

Yes — based on recent matches, both teams have scored in 63% of VfL Bochum's games and 74% of Borussia Mönchengladbach's, a combined rate that favours BTTS Yes.

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

Recent trends suggest it could be — Over 2.5 goals has landed in 58% of VfL Bochum's matches and 74% of Borussia Mönchengladbach's.

Do VfL Bochum and Borussia Mönchengladbach tend to score early?

VfL Bochum have had a goal before half-time in 79% of their recent matches, Borussia Mönchengladbach in 79% — a useful reference point for first-half goal markets.

📰

Borussia Mönchengladbach cruise to a comfortable 1-3 victory over VfL Bochum.

📝 Match Report

How It Unfolded

Borussia Mönchengladbach beat VfL Bochum 1-3 at Vonovia Ruhrstadion, Regular Season - 6, in the Bundesliga. That is the final score; the rest of this report grades it against what the data forecast beforehand.

The Model vs The Result

The Poisson model went into this projecting VfL Bochum 2.25 xG and Borussia Mönchengladbach 1.65 xG, a combined 3.90. The scoreboard read 1-3 for 4 actual goals. VfL Bochum fell 1.2 short of their projected output. Borussia Mönchengladbach outscored their 1.65 projection by 1.4. Those figures were built on strength ratings of VfL Bochum attack 0.89 / defence 0.92 against Borussia Mönchengladbach attack 1.22 / defence 1.28, drawn from 39/39 games (CurrentSeason).

On the result, the model split it VfL Bochum 51% | Draw 22% | Borussia Mönchengladbach 28%, with VfL Bochum to win its most likely call at 51%. The actual Borussia Mönchengladbach win had been the model's second-ranked read at 28%, so the result diverged from the top call without being a shock.

Goals & Markets

The model rated Over 2.5 goals at 75%. The game delivered 4, so it went over — the model's lean was correct. Over 1.5 had been 91% and landed. Over 3.5 was 55% and came in. On both teams to score, the model sat at 73% and the match saw both sides score — another call in the model's favour. Historically the two sides average 62% Over 2.5 across their same-competition games (VfL Bochum 59%, Borussia Mönchengladbach 64%), a base rate that agreed with today's over. Their combined BTTS history runs at 55%, which matched the both-scored outcome.

Trading Patterns vs Reality

VfL Bochum's trading profile (39 games, 19 home) set some clear expectations: BTTS lands in 51% of their matches — today it did.

Borussia Mönchengladbach's trading profile (39 games, 19 away) set some clear expectations: BTTS lands in 59% of their matches — today it did.

Form vs Result

The form lines were close — VfL Bochum 0.97 PPG, Borussia Mönchengladbach 1.15 PPG — offering no strong steer, and the Borussia Mönchengladbach win broke the near-deadlock. VfL Bochum (home/away splits) shipped 3 against a 1.79 concession average — a leakier day than usual. Borussia Mönchengladbach (home/away splits) scored 3 against a 1.37 average — above their attacking norm and conceded 1 against a 2.32 average — tighter than their form line.

Verdict

Grading the result against the stored data, 2 of 3 pre-match signals came in: result (miss), Over 2.5 (hit), BTTS (hit). A mixed scorecard — the data caught the broad shape of the game but not every market.

💡 Key Insights

Model Over/Under 2.5 landed as modelled — 75% Over 2.5 probability, 4 goals scored.
Model BTTS matched the model — 73% projected, both teams scored.
Trading Trading data backed up — the sides average 62% 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.