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Borussia Mönchengladbach 3-0 VfL Bochum – Result & Analysis

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

Bundesliga · Regular Season - 19

Kick-off

Sat 25 Jan 2025

17:30

Venue

BORUSSIA-PARK

Competition

Bundesliga

Germany

Status

FT
💬 Comment 📝 Notes
📋

Poisson rates Borussia Mönchengladbach at 68% — the head-to-head data provides partial corroboration, though signals are mixed in this Borussia Mönchengladbach vs VfL Bochum encounter.

✍️ Match Preview

Analysis & Preview

VfL Bochum travel to BORUSSIA-PARK to take on Borussia Mönchengladbach in Bundesliga (matchday 19). The game is scheduled for Saturday 25 January 2025 at 17:30 UK time.

Form Analysis

Looking at their last 10 matches, Borussia Mönchengladbach stand at 4W 2D 4L — 1.40 PPG. Last five: W W L L L. Offensively they are averaging 1.60 goals per game, with 1.60 conceded. 2 clean sheets from 10 outings (20%). Both teams have scored in 70% of their games — a high BTTS rate that carries real weight in the goals markets.

At home, Borussia Mönchengladbach have gone 5W 2D 3L in their last 10 home games (1.70 PPG). At home they are averaging 1.90 goals scored and 1.30 conceded per game. Both teams have scored in 70% of their home games — an outstanding BTTS rate that is a key data point for this fixture.

VfL Bochum — last 10 games: 2W 3D 5L — 0.90 PPG. Last five: D W L W D. Their scoring rate of 1.00 per game is modest, conceding 1.80 — not a side to back heavily on the Over 2.5 from their form alone. 2 clean sheets from 10 outings (20%).

VfL Bochum away from home: 1W 1D 8L from their last 10 away games — 0.40 PPG on the road. Away from home they average 1.00 goals scored and 2.30 conceded per game. Their away PPG of 0.40 is notably below their overall 0.90 — form away from home has been a clear weakness recently.

There is minimal separation in the form figures — Borussia Mönchengladbach at 1.40 PPG versus VfL Bochum'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.

H2H

The head-to-head sample comes down firmly in favour of Borussia Mönchengladbach: 6 wins from 7 H2H matches against 1 for VfL Bochum, with 0 draws.

These two sides have produced goals at a healthy rate, averaging 3.3 per game across the 7 H2H matches we hold. That scoring profile supports the Over 2.5 angle. The most recent of those, on 31 Aug 2024, ended Borussia Mönchengladbach 2–0 VfL Bochum — a Borussia Mönchengladbach win.

From a betting standpoint, the H2H data backs both Borussia Mönchengladbach and goals — 6 wins from 7 H2H matches and an average of 3.3 goals per game give the home win and Over 2.5 combination a head-to-head case.

In-Play Data

Borussia Mönchengladbach trading profile (last 52 games, 26 of them at home): at least one goal arrives before half-time in 73% of their matches in home games; when goalless at HT, a second-half goal follows 64% of the time; of the 13 games they led at half-time, they failed to win 38%; BTTS occurs in 65% of their matches (home games); Over 2.5 goals lands in 69% of games (home games); Over 3.5 in 50%.

VfL Bochum trading profile (last 52 games, 26 of them away): at least one goal arrives before half-time in 81% of their matches 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; of the 14 games they led at half-time, they failed to win 50%; BTTS occurs in 58% of their matches (away games); Over 2.5 goals lands in 62% of games (away games); Over 3.5 in 44%.

From a combined perspective, both sides have high BTTS rates — Borussia Mönchengladbach 71% and VfL Bochum 62% — which reinforces the BTTS Yes angle from in-play data. The over/under 2.5 picture is inconclusive from the in-play data (Borussia Mönchengladbach 69% | VfL Bochum 60%).

Poisson Model

The Poisson distribution model projects Borussia Mönchengladbach 2.29 xG and VfL Bochum 0.92 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: Borussia Mönchengladbach attack 1.034 / defence 0.869 | VfL Bochum attack 0.737 / defence 1.241. League average goals — home 1.785 / away 1.441. VfL Bochum's defence rating of 1.241 (above 1 = concedes more than average) is pushing Borussia Mönchengladbach's projected output up. VfL Bochum's attack rating of 0.737 is below the league average, which holds their xG down at 0.92. Data: built from Borussia Mönchengladbach's last 52 games and VfL Bochum's last 52.

Result probabilities: Borussia Mönchengladbach 68% | Draw 18% | VfL Bochum 14%. Fair-value odds: Borussia Mönchengladbach 1.47 | Draw 5.43 | VfL Bochum 7.36. The model has a clear lean to Borussia Mönchengladbach (68%) — a 50pp gap over the next-most-likely outcome reflects a meaningful statistical advantage.

Goals markets: Over 2.5 probability 62% | BTTS Yes probability 54% | Total xG 3.21. Over 2.5 holds a meaningful probability edge at 62% — the 3.21 total xG provides moderate support, though the model is not projecting a high-scoring game. BTTS Yes at 54% is only a slight lean — neither team is projected to score with enough certainty to make Yes a clear standalone call.

Our Verdict

Poisson rates Borussia Mönchengladbach as the most likely outcome at 68% — clear model lean. The head-to-head data (Borussia Mönchengladbach 6 wins from 7 H2H matches) corroborates the Poisson lean — partial multi-source support. Draw No Bet is worth pricing alongside the outright: 18% draw probability makes the stalemate a live outcome even at this conviction level.

Poisson projects 3.21 total expected goals, pointing to Over 2.5 at 62% probability — strong conviction, supported by recent form (Borussia Mönchengladbach's last 10 home games and VfL Bochum's last 10 away games) averaging 3.2 goals per game and the H2H data averaging 3.3 goals per game across 7 H2H matches.

The Poisson model's BTTS call is Yes at 54%. Form rates corroborate — both teams scored in: Borussia Mönchengladbach 70% (last 10 home games) | VfL Bochum 50% (last 10 away games).

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💡 Key Insights

H2H Borussia Mönchengladbach hold a strong head-to-head advantage, winning 6 of the 7 H2H matches in our data.
H2H The H2H data and the Poisson model both point to Borussia Mönchengladbach — H2H win rate 86% vs Poisson 68%.
Goals H2H (3.29 goals/game across 7 H2H matches) and Poisson xG (3.21) both back Over 2.5 goals (62% Poisson probability).
Form Borussia Mönchengladbach Poisson xG (2.29) exceeds their recent form scoring rate (1.90 over their last 10 home games) — against this opponent, the model expects more than their recent scoring rate.
Prediction Poisson model strongly favours Borussia Mönchengladbach at 68% home win probability.
Goals Poisson Over 2.5 probability is 62% — the model favours goals in this fixture.

🏟️ Match Context

• Fixture: Borussia Mönchengladbach vs VfL Bochum | Competition: Bundesliga, matchday 19 | Venue: BORUSSIA-PARK • Kick-off: Saturday 25 January 2025 at 17:30 UK time • Data inputs: head-to-head data, recent form (overall and home/away), the Poisson prediction model and market pricing

📊 Statistical Prediction

• Poisson result probabilities: Borussia Mönchengladbach 68% | Draw 18% | VfL Bochum 14% • Poisson goal markets: Over 2.5 62% (Under 38%) | BTTS Yes 54% (No 46%) | xG Borussia Mönchengladbach 2.29 / VfL Bochum 0.92 • Poisson strength factors: Borussia Mönchengladbach attack 1.034 / def 0.869 | VfL Bochum attack 0.737 / def 1.241 | league avg home 1.785 / away 1.441 • Poisson stance: Borussia Mönchengladbach (68%) — strong lean

🧮 Prediction Model

2.29

Borussia Mönchengladbach xG

Expected Goals

0.92

VfL Bochum xG

68%
18%
Borussia Mönchengladbach Draw VfL Bochum

54%

BTTS

83%

Over 1.5

62%

Over 2.5

40%

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.

❓ Borussia Mönchengladbach vs VfL Bochum FAQs

What time does Borussia Mönchengladbach vs VfL Bochum kick off?

Borussia Mönchengladbach vs VfL Bochum kicked off at 17:30 UK time on Saturday 25 January 2025 at BORUSSIA-PARK.

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

Borussia Mönchengladbach 3 - 0 VfL Bochum.

Where is Borussia Mönchengladbach vs VfL Bochum being played?

The match is being played at BORUSSIA-PARK.

What competition is Borussia Mönchengladbach vs VfL Bochum part of?

Borussia Mönchengladbach vs VfL Bochum is a Bundesliga fixture (matchday 19) (Germany).

Who is favourite to win Borussia Mönchengladbach vs VfL Bochum?

Our statistical model gives Borussia Mönchengladbach a 68% chance of winning, VfL Bochum a 14% chance, and a 18% chance of a draw — making Borussia Mönchengladbach the favourite.

Will both teams score in Borussia Mönchengladbach vs VfL Bochum?

Our model estimates a 54% probability that both Borussia Mönchengladbach and VfL Bochum will score, so it leans towards BTTS Yes.

Will Borussia Mönchengladbach vs VfL Bochum have over 2.5 goals?

Our model puts the probability of over 2.5 goals in this match at 62%, so it leans towards over 2.5 goals.

🧮 Model Insight

Model Mechanics

Working from Borussia Mönchengladbach's attack rating (1.03) and VfL Bochum's defence rating (1.24), the model arrives at 2.29 expected goals for the home side. The same calculation in reverse, VfL Bochum's attack versus Borussia Mönchengladbach's defence, projects 0.92 expected goals for the visitors.

These ratings are built from Borussia Mönchengladbach's last 52 games and VfL Bochum's last 52 — a full enough recent sample to trust.

The Exact-Score Picture

Run the expected-goals figures through the full scoreline distribution and 2-0 emerges as the single most likely result, at 10.6%. Close behind: 2-1 (9.7%), 1-1 (9.6%). Together the top three scorelines make up 30% of the probability — a moderately spread distribution, typical of a competitive match-up.

Most Likely Outcome

Borussia Mönchengladbach Win

68%

Borussia Mönchengladbach

1.47

18%

Draw

5.43

14%

VfL Bochum

7.36

Top 3 Most Likely Scorelines

2 – 0

10.6%

Home win

Most likely

2 – 1

9.7%

Home win

1 – 0

9.2%

Home win

Expected Goals & Win Odds

2.29

Borussia Mönchengladbach xG

Total xG

3.21

0.92

VfL Bochum xG

68%
18%
14%
Borussia MönchengladbachDrawVfL Bochum

1.47

68%

Home win

5.43

18%

Draw

7.36

14%

Away win

Goals Markets

83%

Over 1.5

1.20

17%

Under 1.5

5.88

62%

Over 2.5

1.61

38%

Under 2.5

2.63

40%

Over 3.5

2.50

60%

Under 3.5

1.67

22%

Over 4.5

4.55

78%

Under 4.5

1.28

Match Markets

Both Teams to Score

54%

BTTS Yes

1.84

46%

BTTS No

2.19

Clean Sheet

40%

Borussia Mönchengladbach

2.52

10%

VfL Bochum

9.87

Win to Nil

27%

Borussia Mönchengladbach

3.70

1%

VfL Bochum

72.66

Score Probability Matrix (%)

H \ A 0 1 2 3 4 5
0 4.0 3.7 1.7 0.5 0.1 –
1 9.2 8.5 3.9 1.2 0.3 0.1
2 10.6 9.7 4.5 1.4 0.3 0.1
3 8.1 7.4 3.4 1.1 0.2 –
4 4.6 4.3 2.0 0.6 0.1 –
5 2.1 1.9 0.9 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) 2.290
λ Away (xG) 0.923
Total xG 3.213
League avg home goals 1.785
League avg away goals 1.441
Borussia Mönchengladbach attack strength 1.034
Borussia Mönchengladbach defence strength 0.869
VfL Bochum attack strength 0.737
VfL Bochum defence strength 1.241
Data phase CurrentSeason
Games used (H/A) 52 / 52

❓ Borussia Mönchengladbach vs VfL Bochum Prediction FAQs

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

Our Poisson model rates 2-0 as the single most likely exact scoreline, at 10.6%.

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

The model projects 2.29 expected goals for Borussia Mönchengladbach and 0.92 for VfL Bochum, a combined total of 3.21.

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

Reasonably confident — the model's leading outcome is rated at 68%, a clear lean rather than a toss-up.

📈 Form Insight

Where Both Sides Stand

Borussia Mönchengladbach's recent record stands at 14W 16D 22L from 52 games, a 1.12 PPG return, with W-W-L-L-L in the last five.

VfL Bochum, meanwhile, have gone 10W 15D 27L across 52 games — 0.87 PPG, with D-W-L-W-D in their last five.

Form-wise this is close to level: Borussia Mönchengladbach on 1.12 PPG, VfL Bochum on 0.87. Other factors will likely decide this one more than recent results.

Home Ground vs the Road

At home specifically, Borussia Mönchengladbach have managed 10W 7D 9L from their last 26 home games — 1.42 PPG in front of their own supporters.

VfL Bochum's away record stands at 3W 5D 18L across their last 26 away games, a 0.54 PPG haul.

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

The Goals Picture

Borussia Mönchengladbach are averaging 1.60 goals scored and 1.85 conceded per game recently; VfL Bochum are on 1.17 scored and 2.13 conceded.

On BTTS specifically: Borussia Mönchengladbach have seen both teams score in 71% of their recent games; VfL Bochum in 62%.

Last 52 Results

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

Borussia Mönchengladbach

Borussia Mönchengladbach

Blended
W W L L L
VfL Bochum

VfL Bochum

Blended
D W L W D
52 Played 52
14/16/22 W / D / L 10/15/27
1.12 Points Per Game 0.87
1.60 Avg Goals Scored 1.17
1.85 Avg Goals Conceded 2.13
3.44 Avg Goals / Game 3.31
8 Clean Sheets 7
37 BTTS 32
36 Over 2.5 Games 31
Borussia Mönchengladbach

Borussia Mönchengladbach

L
A Bayer Leverkusen
1–3 HT 0–1
18 Jan
L
A VfL Wolfsburg
1–5 HT 0–1
14 Jan
L
H Bayern München
0–1 HT 0–0
11 Jan
W
A 1899 Hoffenheim
2–1 HT 1–0
21 Dec
W
H Holstein Kiel
4–1 HT 3–1
14 Dec
D
H Borussia Dortmund
1–1 HT 0–0
07 Dec
L
A SC Freiburg
1–3 HT 0–1
30 Nov
W
H FC St. Pauli
2–0 HT 2–0
24 Nov
D
A RB Leipzig
0–0 HT 0–0
09 Nov
W
H Werder Bremen
4–1 HT 3–0
03 Nov
D
A FSV Mainz 05
1–1 HT 0–0
25 Oct
W
H 1. FC Heidenheim
3–2 HT 1–1
19 Oct
L
A FC Augsburg
1–2 HT 0–1
04 Oct
W
H Union Berlin
1–0 HT 0–0
28 Sep
L
A Eintracht Frankfurt
0–2 HT 0–1
21 Sep
L
H VfB Stuttgart
1–3 HT 1–1
14 Sep
W
A VfL Bochum
2–0 HT 0–0
31 Aug
L
H Bayer Leverkusen
2–3 HT 0–2
23 Aug
L
A VfB Stuttgart
0–4 HT 0–2
18 May
D
H Eintracht Frankfurt
1–1 HT 1–1
11 May
D
A Werder Bremen
2–2 HT 1–1
04 May
D
H Union Berlin
0–0 HT 0–0
28 Apr
L
A 1899 Hoffenheim
3–4 HT 1–1
20 Apr
L
H Borussia Dortmund
1–2 HT 1–2
13 Apr
W
A VfL Wolfsburg
3–1 HT 0–1
07 Apr
L
H SC Freiburg
0–3 HT 0–1
30 Mar
D
A 1. FC Heidenheim
1–1 HT 1–0
16 Mar
D
H 1. FC Köln
3–3 HT 1–1
09 Mar
D
A FSV Mainz 05
1–1 HT 0–1
02 Mar
W
H VfL Bochum
5–2 HT 2–0
24 Feb
L
A RB Leipzig
0–2 HT 0–1
17 Feb
D
H SV Darmstadt 98
0–0 HT 0–0
10 Feb
L
A Bayern München
1–3 HT 1–1
03 Feb
D
A Bayer Leverkusen
0–0 HT 0–0
27 Jan
L
H FC Augsburg
1–2 HT 1–0
21 Jan
W
H VfB Stuttgart
3–1 HT 2–0
14 Jan
L
A Eintracht Frankfurt
1–2 HT 1–0
20 Dec
D
H Werder Bremen
2–2 HT 1–1
15 Dec
L
A Union Berlin
1–3 HT 0–1
09 Dec
W
H 1899 Hoffenheim
2–1 HT 0–0
02 Dec
L
A Borussia Dortmund
2–4 HT 2–3
25 Nov
W
H VfL Wolfsburg
4–0 HT 2–0
10 Nov
D
A SC Freiburg
3–3 HT 3–1
04 Nov
W
H 1. FC Heidenheim
2–1 HT 1–1
28 Oct
L
A 1. FC Köln
1–3 HT 0–1
22 Oct
D
H FSV Mainz 05
2–2 HT 1–1
06 Oct
W
A VfL Bochum
3–1 HT 3–0
30 Sep
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
VfL Bochum

VfL Bochum

D
H RB Leipzig
3–3 HT 0–3
18 Jan
W
H FC St. Pauli
1–0 HT 0–0
15 Jan
L
A FSV Mainz 05
0–2 HT 0–1
11 Jan
W
H 1. FC Heidenheim
2–0 HT 2–0
22 Dec
D
A Union Berlin
1–1 HT 1–1
14 Dec
L
H Werder Bremen
0–1 HT 0–0
07 Dec
L
A FC Augsburg
0–1 HT 0–1
30 Nov
L
A VfB Stuttgart
0–2 HT 0–0
23 Nov
D
H Bayer Leverkusen
1–1 HT 0–1
09 Nov
L
A Eintracht Frankfurt
2–7 HT 1–4
02 Nov
L
H Bayern München
0–5 HT 0–2
27 Oct
L
A 1899 Hoffenheim
1–3 HT 0–1
19 Oct
L
H VfL Wolfsburg
1–3 HT 0–2
05 Oct
L
A Borussia Dortmund
2–4 HT 2–1
27 Sep
D
H Holstein Kiel
2–2 HT 2–1
21 Sep
L
A SC Freiburg
1–2 HT 1–0
14 Sep
L
H Borussia Mönchengladbach
0–2 HT 0–0
31 Aug
L
A RB Leipzig
0–1 HT 0–0
24 Aug
W
A Fortuna Düsseldorf
3–0 HT 1–0
27 May
L
H Fortuna Düsseldorf
0–3 HT 0–1
23 May
L
A Werder Bremen
1–4 HT 0–1
18 May
L
H Bayer Leverkusen
0–5 HT 0–2
12 May
W
A Union Berlin
4–3 HT 3–0
05 May
W
H 1899 Hoffenheim
3–2 HT 2–0
26 Apr
L
A VfL Wolfsburg
0–1 HT 0–1
20 Apr
D
H 1. FC Heidenheim
1–1 HT 0–0
13 Apr
L
A 1. FC Köln
1–2 HT 0–0
06 Apr
D
H SV Darmstadt 98
2–2 HT 1–0
31 Mar
L
A FSV Mainz 05
0–2 HT 0–1
16 Mar
L
H SC Freiburg
1–2 HT 0–1
10 Mar
L
H RB Leipzig
1–4 HT 1–1
02 Mar
L
A Borussia Mönchengladbach
2–5 HT 0–2
24 Feb
W
H Bayern München
3–2 HT 2–1
18 Feb
D
A Eintracht Frankfurt
1–1 HT 1–1
10 Feb
D
H FC Augsburg
1–1 HT 1–0
03 Feb
L
A Borussia Dortmund
1–3 HT 1–1
28 Jan
W
H VfB Stuttgart
1–0 HT 0–0
20 Jan
D
H Werder Bremen
1–1 HT 0–0
14 Jan
L
A Bayer Leverkusen
0–4 HT 0–3
20 Dec
W
H Union Berlin
3–0 HT 1–0
16 Dec
L
A 1899 Hoffenheim
1–3 HT 0–2
08 Dec
W
H VfL Wolfsburg
3–1 HT 2–1
02 Dec
D
A 1. FC Heidenheim
0–0 HT 0–0
26 Nov
D
H 1. FC Köln
1–1 HT 1–0
11 Nov
W
A SV Darmstadt 98
2–1 HT 1–1
03 Nov
D
H FSV Mainz 05
2–2 HT 1–0
27 Oct
L
A SC Freiburg
1–2 HT 1–2
21 Oct
D
A RB Leipzig
0–0 HT 0–0
07 Oct
L
H Borussia Mönchengladbach
1–3 HT 0–3
30 Sep
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

Borussia Mönchengladbach (Home) vs VfL Bochum (Away)

Home games only for the home side · Away games only for the away side

Borussia Mönchengladbach

Borussia Mönchengladbach

Blended
W W D W L
VfL Bochum

VfL Bochum

Blended
L L L D L
26 Played 26
10/7/9 W / D / L 3/5/18
1.42 Points Per Game 0.54
1.73 Avg Goals Scored 1.00
1.46 Avg Goals Conceded 2.42
3.19 Avg Goals / Game 3.42
5 Clean Sheets 3
17 BTTS 15
18 Over 2.5 Games 16
Borussia Mönchengladbach

Borussia Mönchengladbach — Home

L
Bayern München
0–1 HT 0–0
11 Jan
W
Holstein Kiel
4–1 HT 3–1
14 Dec
D
Borussia Dortmund
1–1 HT 0–0
07 Dec
W
FC St. Pauli
2–0 HT 2–0
24 Nov
W
Werder Bremen
4–1 HT 3–0
03 Nov
W
1. FC Heidenheim
3–2 HT 1–1
19 Oct
W
Union Berlin
1–0 HT 0–0
28 Sep
L
VfB Stuttgart
1–3 HT 1–1
14 Sep
L
Bayer Leverkusen
2–3 HT 0–2
23 Aug
D
Eintracht Frankfurt
1–1 HT 1–1
11 May
D
Union Berlin
0–0 HT 0–0
28 Apr
L
Borussia Dortmund
1–2 HT 1–2
13 Apr
L
SC Freiburg
0–3 HT 0–1
30 Mar
D
1. FC Köln
3–3 HT 1–1
09 Mar
W
VfL Bochum
5–2 HT 2–0
24 Feb
D
SV Darmstadt 98
0–0 HT 0–0
10 Feb
L
FC Augsburg
1–2 HT 1–0
21 Jan
W
VfB Stuttgart
3–1 HT 2–0
14 Jan
D
Werder Bremen
2–2 HT 1–1
15 Dec
W
1899 Hoffenheim
2–1 HT 0–0
02 Dec
W
VfL Wolfsburg
4–0 HT 2–0
10 Nov
W
1. FC Heidenheim
2–1 HT 1–1
28 Oct
D
FSV Mainz 05
2–2 HT 1–1
06 Oct
L
RB Leipzig
0–1 HT 0–0
23 Sep
L
Bayern München
1–2 HT 1–0
02 Sep
L
Bayer Leverkusen
0–3 HT 0–2
26 Aug
VfL Bochum

VfL Bochum — Away

L
FSV Mainz 05
0–2 HT 0–1
11 Jan
D
Union Berlin
1–1 HT 1–1
14 Dec
L
FC Augsburg
0–1 HT 0–1
30 Nov
L
VfB Stuttgart
0–2 HT 0–0
23 Nov
L
Eintracht Frankfurt
2–7 HT 1–4
02 Nov
L
1899 Hoffenheim
1–3 HT 0–1
19 Oct
L
Borussia Dortmund
2–4 HT 2–1
27 Sep
L
SC Freiburg
1–2 HT 1–0
14 Sep
L
RB Leipzig
0–1 HT 0–0
24 Aug
W
Fortuna Düsseldorf
3–0 HT 1–0
27 May
L
Werder Bremen
1–4 HT 0–1
18 May
W
Union Berlin
4–3 HT 3–0
05 May
L
VfL Wolfsburg
0–1 HT 0–1
20 Apr
L
1. FC Köln
1–2 HT 0–0
06 Apr
L
FSV Mainz 05
0–2 HT 0–1
16 Mar
L
Borussia Mönchengladbach
2–5 HT 0–2
24 Feb
D
Eintracht Frankfurt
1–1 HT 1–1
10 Feb
L
Borussia Dortmund
1–3 HT 1–1
28 Jan
L
Bayer Leverkusen
0–4 HT 0–3
20 Dec
L
1899 Hoffenheim
1–3 HT 0–2
08 Dec
D
1. FC Heidenheim
0–0 HT 0–0
26 Nov
W
SV Darmstadt 98
2–1 HT 1–1
03 Nov
L
SC Freiburg
1–2 HT 1–2
21 Oct
D
RB Leipzig
0–0 HT 0–0
07 Oct
L
Bayern München
0–7 HT 0–4
23 Sep
D
FC Augsburg
2–2 HT 1–1
02 Sep

❓ Borussia Mönchengladbach vs VfL Bochum Form FAQs

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

Borussia Mönchengladbach have gone 14W 16D 22L in their last 52 games (1.12 PPG), while VfL Bochum have gone 10W 15D 27L in their last 52 (0.87 PPG).

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

Borussia Mönchengladbach's home record (1.42 PPG) is the stronger of the two venue-specific splits — Borussia Mönchengladbach at home: 1.42 PPG; VfL Bochum away: 0.54 PPG.

⚔️ Rivalry Insight

A Look Back

The head-to-head numbers here are drawn from the 8 H2H matches in our data, going back to October 2021. All of them came in Bundesliga. The most recent in our data was on 25 January 2025, some 1 year back — so squads and form on both sides may look very different now.

Digging Into the Numbers

Borussia Mönchengladbach have won each of the latest 5 H2H matches we hold, a run that gives them the edge coming in.

The biggest gap in our H2H data came on 24 Feb 2024, when Borussia Mönchengladbach won Borussia Mönchengladbach 5-2 VfL Bochum.

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

Last 8 Meetings

Borussia Mönchengladbach

7

Borussia Mönchengladbach

0

Draws

VfL Bochum

1

VfL Bochum

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

❓ Borussia Mönchengladbach vs VfL Bochum H2H FAQs

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

Across the 8 head-to-head matches in our data, Borussia Mönchengladbach have won 7, VfL Bochum have won 1, and 0 have been drawn.

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

The most recent meeting in our data was on 25 January 2025: Borussia Mönchengladbach 3-0 VfL Bochum.

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

Borussia Mönchengladbach have the better head-to-head record, with 7 wins from the 8 head-to-head matches in our data.

📈 Trading Insight

Half-Time Trends

Borussia Mönchengladbach are typically involved in an early goal — the half-time board shows at least one in 73% of their matches. They've gone in front at half-time 31% of the time, though they've let that lead slip 25% of the time they've held it — worth watching if they're only ahead by one.

VfL Bochum are typically involved in an early goal — the half-time board shows at least one in 81% of their matches.

The Numbers That Matter

BTTS sits in mixed territory for this pairing — Borussia Mönchengladbach 65%, VfL Bochum 58% — no strong lean either way from the trading data alone.

Goals have flowed in these teams' recent matches — Over 2.5 has landed at 69% for Borussia Mönchengladbach and 62% for VfL Bochum. Stepping up a level, Over 3.5 has also landed reasonably often — 42% and 42% respectively — worth a look for goal-hungry markets.

On the defensive side: VfL Bochum in 38%.

📈

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

Borussia Mönchengladbach Borussia Mönchengladbach Blended
Metric All
(52 games)
Venue
(26 games)
Half-Time Metrics
1+ Goal Before HT 41/52
(78.8%)
19/26
(73.1%)
2+ Goals Before HT 25/52
(48.1%)
16/26
(61.5%)
0-0 HT → 1+ Goal 2nd Half 7/11
(63.6%)
5/7
(71.4%)
0-0 HT → 2+ Goals 2nd Half 4/11
(36.4%)
2/7
(28.6%)
Winning at HT 13/52
(25%)
8/26
(30.8%)
Lost Lead (Win HT → No Win FT) 5/13
(38.5%)
2/8
(25%)
Came From Behind (Lose HT → Draw/Win FT) 3/17
(17.6%)
0/4
(0%)
Full-Time Metrics
BTTS 37/52
(71.2%)
17/26
(65.4%)
Over 2.5 Goals 36/52
(69.2%)
18/26
(69.2%)
Over 3.5 Goals 26/52
(50%)
11/26
(42.3%)
Clean Sheet 8/52
(15.4%)
5/26
(19.2%)
Failed to Score 11/52
(21.2%)
6/26
(23.1%)
VfL Bochum VfL Bochum Blended
Metric All
(52 games)
Venue
(26 games)
Half-Time Metrics
1+ Goal Before HT 40/52
(76.9%)
21/26
(80.8%)
2+ Goals Before HT 24/52
(46.2%)
13/26
(50%)
0-0 HT → 1+ Goal 2nd Half 10/12
(83.3%)
3/5
(60%)
0-0 HT → 2+ Goals 2nd Half 6/12
(50%)
2/5
(40%)
Winning at HT 14/52
(26.9%)
4/26
(15.4%)
Lost Lead (Win HT → No Win FT) 7/14
(50%)
2/4
(50%)
Came From Behind (Lose HT → Draw/Win FT) 2/20
(10%)
0/12
(0%)
Full-Time Metrics
BTTS 32/52
(61.5%)
15/26
(57.7%)
Over 2.5 Goals 31/52
(59.6%)
16/26
(61.5%)
Over 3.5 Goals 23/52
(44.2%)
11/26
(42.3%)
Clean Sheet 7/52
(13.5%)
3/26
(11.5%)
Failed to Score 15/52
(28.8%)
10/26
(38.5%)

❓ Borussia Mönchengladbach vs VfL Bochum Trading FAQs

Do both teams usually score in Borussia Mönchengladbach and VfL Bochum matches?

Yes — based on recent matches, both teams have scored in 65% of Borussia Mönchengladbach's games and 58% of VfL Bochum's, a combined rate that favours BTTS Yes.

Are Borussia Mönchengladbach and VfL Bochum matches usually high-scoring?

Recent trends suggest it could be — Over 2.5 goals has landed in 69% of Borussia Mönchengladbach's matches and 62% of VfL Bochum's.

Do Borussia Mönchengladbach and VfL Bochum matches tend to have early goals?

There has been at least one first-half goal in 73% of Borussia Mönchengladbach's recent matches and 81% of VfL Bochum's — a useful reference point for first-half goal markets.

📰

Dominant Borussia Mönchengladbach run riot with a 3-0 hammering of VfL Bochum.

📝 Match Report

How It Unfolded

Borussia Mönchengladbach beat VfL Bochum 3-0 at BORUSSIA-PARK, Regular Season - 19, in the Bundesliga. The remainder of the report sets that outcome against the pre-match model, the markets and the teams' data profiles.

The Model vs The Result

The Poisson model went into this projecting Borussia Mönchengladbach 2.29 xG and VfL Bochum 0.92 xG, a combined 3.21. The scoreboard read 3-0 for 3 actual goals. VfL Bochum landed 0.9 under their projected return. Those figures were built on strength ratings of Borussia Mönchengladbach attack 1.03 / defence 0.87 against VfL Bochum attack 0.74 / defence 1.24, drawn from 52/52 games (CurrentSeason).

On the result, the model split it Borussia Mönchengladbach 68% | Draw 18% | VfL Bochum 14%, with Borussia Mönchengladbach to win its most likely call at 68%. The result followed the model's preferred path, landing its top-rated outcome.

Goals & Markets

The model rated Over 2.5 goals at 62%. The game delivered 3, so it went over — in line with the projection. Over 1.5 had been 83% and landed. Over 3.5 was 40% and did not. On both teams to score, the model sat at 54% and the match did not — a miss on BTTS. Historically the two sides average 64% Over 2.5 across their same-competition games (Borussia Mönchengladbach 69%, VfL Bochum 60%), a base rate that agreed with today's over. Their combined BTTS history runs at 66%, which did not match the one-sided outcome.

Trading Patterns vs Reality

Borussia Mönchengladbach's trading profile (52 games, 26 home) set some clear expectations: BTTS lands in 71% of their matches — today it did not.

VfL Bochum's trading profile (52 games, 26 away) set some clear expectations: BTTS lands in 62% of their matches — today it did not; they fail to score in 29% of games, a blank that repeated today.

Form vs Result

The form lines were close — Borussia Mönchengladbach 1.12 PPG, VfL Bochum 0.87 PPG — offering no strong steer, and the Borussia Mönchengladbach win broke the near-deadlock. Borussia Mönchengladbach (home/away splits) scored 3 against a 1.73 average — above their attacking norm and conceded 0 against a 1.46 average — tighter than their form line. VfL Bochum (home/away splits) managed 0 against a 1.00 scoring average — below par going forward.

Verdict

Grading the result against the stored data, 2 of 3 pre-match signals came in: result (hit), Over 2.5 (hit), BTTS (miss). Partial vindication: some calls landed, others slipped.

💡 Key Insights

Model Over/Under 2.5 landed as modelled — 62% Over 2.5 probability, 3 goals scored.
Model BTTS bucked the model — 54% projected, one side was shut out.
Trading Trading data backed up — the sides average 64% 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.

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