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Borussia Mönchengladbach 5-2 VfL Bochum – Result & Analysis

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Bundesliga · Regular Season - 23

Kick-off

Sat 24 Feb 2024

14:30

Venue

BORUSSIA-PARK

Competition

Bundesliga

Germany

Status

FT
💬 Comment 📝 Notes
📋

Poisson rates Borussia Mönchengladbach at 57% — 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 23). The game is scheduled for Saturday 24 February 2024 at 14:30 UK time.

Form Analysis

Looking at their last 10 matches, Borussia Mönchengladbach stand at 2W 3D 5L — 0.90 PPG. Last five: L D L D L. They are averaging 1.10 goals per game and conceding 1.60 — a modest attacking output that tempers optimism on the Over 2.5 market. 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 4W 3D 3L in their last 10 home games (1.50 PPG). At home they are averaging 1.70 goals scored and 1.20 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. Their home PPG of 1.50 is noticeably stronger than their overall 0.90 — Borussia Mönchengladbach are significantly better at home than their overall form suggests.

VfL Bochum — last 10 games: 4W 3D 3L — 1.50 PPG. Last five: W L D D W. They are scoring at 1.50 per game and conceding 1.60. 2 clean sheets from 10 outings (20%). Both teams have scored in 70% of their games — a noteworthy BTTS rate that supports the Yes market.

VfL Bochum away from home: 1W 4D 5L from their last 10 away games — 0.70 PPG on the road. Away from home they average 0.80 goals scored and 2.30 conceded per game. BTTS has landed in 60% of their away games — meaningful support for the Yes angle in this specific context. Their away PPG of 0.70 is notably below their overall 1.50 — form away from home has been a clear weakness recently.

Despite the home advantage, the form figures favour VfL Bochum — 0.60 PPG ahead of the hosts (1.50 vs 0.90). That gap is large enough to take seriously. Draw No Bet on the visitors neutralises home-ground risk while maintaining the form-backed selection.

The BTTS market is worth targeting here. Both teams have scored in 70% of Borussia Mönchengladbach's games and 60% of VfL Bochum's (from Borussia Mönchengladbach's last 10 home games and VfL Bochum's last 10 away games) — both sides above the 60% threshold gives BTTS Yes firm statistical grounding.

H2H

The head-to-head sample comes down firmly in favour of Borussia Mönchengladbach: 4 wins from 5 H2H matches against 1 for VfL Bochum, with 0 draws.

These two sides have produced goals at a healthy rate, averaging 2.8 per game across the 5 H2H matches we hold. That scoring profile supports the Over 2.5 angle. The most recent of those, on 30 Sep 2023, ended Borussia Mönchengladbach 3–1 VfL Bochum — a Borussia Mönchengladbach win.

From a betting standpoint, the H2H data backs both Borussia Mönchengladbach and goals — 4 wins from 5 H2H matches and an average of 2.8 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 56 games, 28 of them at home): at least one goal arrives before half-time in 71% of their matches in home games; when goalless at HT, a second-half goal follows 54% of the time; of the 19 games they led at half-time, they failed to win 37%; BTTS occurs in 54% of their matches (home games); Over 2.5 goals lands in 64% of games (home games); Over 3.5 in 50%.

VfL Bochum trading profile (last 56 games, 28 of them away): at least one goal arrives before half-time in 82% of their matches in away games; when goalless at HT, a second-half goal follows 82% of the time; of the 14 games they led at half-time, they failed to win 36%; BTTS occurs in 46% of their matches (away games); Over 2.5 goals lands in 61% of games (away games); Over 3.5 in 39%; they fail to score in 30% of games.

From a combined perspective, both sides have high BTTS rates — Borussia Mönchengladbach 64% and VfL Bochum 57% — 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 70% | VfL Bochum 59%).

Poisson Model

The Poisson distribution model projects Borussia Mönchengladbach 1.86 xG and VfL Bochum 0.95 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 0.949 / defence 0.984 | VfL Bochum attack 0.798 / defence 1.181. League average goals — home 1.660 / away 1.213. VfL Bochum's attack rating of 0.798 is below the league average, which holds their xG down at 0.95. Data: built from Borussia Mönchengladbach's last 56 games and VfL Bochum's last 56.

Result probabilities: Borussia Mönchengladbach 57% | Draw 25% | VfL Bochum 18%. Fair-value odds: Borussia Mönchengladbach 1.74 | Draw 3.98 | VfL Bochum 5.70. The model has a clear lean to Borussia Mönchengladbach (57%) — a 32pp gap over the next-most-likely outcome reflects a meaningful statistical advantage.

Goals markets: Over 2.5 probability 53% | BTTS Yes probability 53% | Total xG 2.81. Over/Under 2.5 is close to a coin-flip at 53%/47% — the total xG of 2.81 sits near the 2.5 margin; this is a low-edge market from a Poisson standpoint. BTTS Yes at 53% is only a slight lean — neither team is projected to score with enough certainty to make Yes a clear standalone call.

Our Verdict

Borussia Mönchengladbach have the better head-to-head record in our data (4 wins to 1), yet VfL Bochum are the in-form side right now — head-to-head edge versus current momentum creates a genuine dilemma.

Poisson rates Borussia Mönchengladbach as the most likely outcome at 57% — clear model lean. The head-to-head data (Borussia Mönchengladbach 4 wins from 5 H2H matches) corroborates the Poisson lean — partial multi-source support. Note a divergence: in-form VfL Bochum (1.50 PPG) cuts against the Poisson lean — the model adjusts for opposition strength, which raw form results do not. Draw No Bet is worth pricing alongside the outright: 25% draw probability makes the stalemate a live outcome even at this conviction level.

Poisson projects 2.81 total expected goals, pointing to Over 2.5 at 53% probability — strong conviction, supported by recent form (Borussia Mönchengladbach's last 10 home games and VfL Bochum's last 10 away games) averaging 3.0 goals per game and the H2H data averaging 2.8 goals per game across 5 H2H matches.

The Poisson model's BTTS call is Yes at 53%. Form rates corroborate — both teams scored in: Borussia Mönchengladbach 70% (last 10 home games) | VfL Bochum 60% (last 10 away games).

🔮 Your Prediction

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💡 Key Insights

H2H Borussia Mönchengladbach hold a strong head-to-head advantage, winning 4 of the 5 H2H matches in our data.
H2H The H2H data and the Poisson model both point to Borussia Mönchengladbach — H2H win rate 80% vs Poisson 57%.
Goals H2H (2.80 goals/game across 5 H2H matches) and Poisson xG (2.81) both back Over 2.5 goals (53% Poisson probability).
Form VfL Bochum lead on PPG: 1.50 vs 0.90 — in-form visitors may prove difficult to contain.
BTTS BTTS Yes is supported by both form (Borussia Mönchengladbach 7/10 home, VfL Bochum 6/10 away) and the Poisson model (BTTS Yes 53%).
Form Form (PPG) favours VfL Bochum but Poisson leans Borussia Mönchengladbach (57%) — divergence worth monitoring.
Prediction Poisson model strongly favours Borussia Mönchengladbach at 57% home win probability.
Contradiction Borussia Mönchengladbach have the better head-to-head record in our data (4 wins to 1), yet VfL Bochum are the in-form side right now — head-to-head edge versus current momentum creates a genuine dilemma.

🏟️ Match Context

• Fixture: Borussia Mönchengladbach vs VfL Bochum | Competition: Bundesliga, matchday 23 | Venue: BORUSSIA-PARK • Kick-off: Saturday 24 February 2024 at 14:30 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 57% | Draw 25% | VfL Bochum 18% • Poisson goal markets: Over 2.5 53% (Under 47%) | BTTS Yes 53% (No 47%) | xG Borussia Mönchengladbach 1.86 / VfL Bochum 0.95 • Poisson strength factors: Borussia Mönchengladbach attack 0.949 / def 0.984 | VfL Bochum attack 0.798 / def 1.181 | league avg home 1.660 / away 1.213 • Poisson stance: Borussia Mönchengladbach (57%) — strong lean

🧮 Prediction Model

1.86

Borussia Mönchengladbach xG

Expected Goals

0.95

VfL Bochum xG

57%
25%
18%
Borussia Mönchengladbach Draw VfL Bochum

53%

BTTS

79%

Over 1.5

53%

Over 2.5

31%

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 14:30 UK time on Saturday 24 February 2024 at BORUSSIA-PARK.

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

Borussia Mönchengladbach 5 - 2 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 23) (Germany).

Who is favourite to win Borussia Mönchengladbach vs VfL Bochum?

Our statistical model gives Borussia Mönchengladbach a 57% chance of winning, VfL Bochum a 18% chance, and a 25% chance of a draw — making Borussia Mönchengladbach the favourite.

Will both teams score in Borussia Mönchengladbach vs VfL Bochum?

Our model estimates a 53% 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 53%, so it leans towards over 2.5 goals.

🧮 Model Insight

Model Mechanics

Working from Borussia Mönchengladbach's attack rating (0.95) and VfL Bochum's defence rating (1.18), the model arrives at 1.86 expected goals for the home side. The same calculation in reverse, VfL Bochum's attack versus Borussia Mönchengladbach's defence, projects 0.95 expected goals for the visitors.

These ratings are built from Borussia Mönchengladbach's last 56 games and VfL Bochum's last 56 — a full enough recent sample to trust.

The Exact-Score Picture

Run the expected-goals figures through the full scoreline distribution and 1-1 emerges as the single most likely result, at 12.0%. Close behind: 2-0 (10.4%), 2-1 (9.9%). Those top three scorelines alone account for 32% of the model's total probability mass — a relatively concentrated, predictable distribution for this fixture.

Most Likely Outcome

Borussia Mönchengladbach Win

57%

Borussia Mönchengladbach

1.74

25%

Draw

3.98

18%

VfL Bochum

5.70

Top 3 Most Likely Scorelines

1 – 0

11.2%

Home win

Most likely

1 – 1

10.6%

Draw

2 – 0

10.4%

Home win

Expected Goals & Win Odds

1.86

Borussia Mönchengladbach xG

Total xG

2.81

0.95

VfL Bochum xG

57%
25%
18%
Borussia MönchengladbachDrawVfL Bochum

1.74

57%

Home win

3.98

25%

Draw

5.70

18%

Away win

Goals Markets

77%

Over 1.5

1.30

23%

Under 1.5

4.35

53%

Over 2.5

1.89

47%

Under 2.5

2.13

31%

Over 3.5

3.23

69%

Under 3.5

1.45

15%

Over 4.5

6.67

85%

Under 4.5

1.18

Match Markets

Both Teams to Score

53%

BTTS Yes

1.88

47%

BTTS No

2.14

Clean Sheet

39%

Borussia Mönchengladbach

2.59

16%

VfL Bochum

6.43

Win to Nil

22%

Borussia Mönchengladbach

4.52

3%

VfL Bochum

36.68

Score Probability Matrix (%)

H \ A 0 1 2 3 4 5
0 6.0 5.7 2.7 0.9 0.2 –
1 11.2 10.6 5.1 1.6 0.4 0.1
2 10.4 9.9 4.7 1.5 0.4 0.1
3 6.4 6.1 2.9 0.9 0.2 –
4 3.0 2.9 1.4 0.4 0.1 –
5 1.1 1.1 0.5 0.2 – –

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

▶ Model Internals
λ Home (xG) 1.861
λ Away (xG) 0.952
Total xG 2.813
League avg home goals 1.660
League avg away goals 1.213
Borussia Mönchengladbach attack strength 0.949
Borussia Mönchengladbach defence strength 0.984
VfL Bochum attack strength 0.798
VfL Bochum defence strength 1.181
Data phase CurrentSeason
Games used (H/A) 56 / 56

❓ Borussia Mönchengladbach vs VfL Bochum Prediction FAQs

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

Our Poisson model rates 1-1 as the single most likely exact scoreline, at 12.0%.

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

The model projects 1.86 expected goals for Borussia Mönchengladbach and 0.95 for VfL Bochum, a combined total of 2.81.

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

Reasonably confident — the model's leading outcome is rated at 57%, a clear lean rather than a toss-up.

📈 Form Insight

Where Both Sides Stand

Borussia Mönchengladbach's recent record stands at 16W 17D 23L from 56 games, a 1.16 PPG return, with L-D-L-D-L in the last five.

VfL Bochum, meanwhile, have gone 15W 15D 26L across 56 games — 1.07 PPG, with W-L-D-D-W in their last five.

Form-wise this is close to level: Borussia Mönchengladbach on 1.16 PPG, VfL Bochum on 1.07. Other factors will likely decide this one more than recent results.

Home Ground vs the Road

At home specifically, Borussia Mönchengladbach have managed 14W 6D 8L from their last 28 home games — 1.71 PPG in front of their own supporters. That's noticeably better than their 1.16 PPG overall — Borussia Mönchengladbach are a different proposition at home than their general record suggests.

VfL Bochum's away record stands at 3W 7D 18L across their last 28 away games, a 0.57 PPG haul. That's a step down from their 1.07 PPG overall record — away form has been the weaker part of VfL Bochum's recent record.

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 1.57 goals scored and 1.75 conceded per game recently; VfL Bochum are on 1.18 scored and 2.02 conceded.

On BTTS specifically: Borussia Mönchengladbach have seen both teams score in 64% of their recent games.

Last 56 Results

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

Borussia Mönchengladbach

Borussia Mönchengladbach

Blended
L D L D L
VfL Bochum

VfL Bochum

Blended
W L D D W
56 Played 56
16/17/23 W / D / L 15/15/26
1.16 Points Per Game 1.07
1.57 Avg Goals Scored 1.18
1.75 Avg Goals Conceded 2.02
3.32 Avg Goals / Game 3.20
12 Clean Sheets 9
36 BTTS 32
39 Over 2.5 Games 33
Borussia Mönchengladbach

Borussia Mönchengladbach

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
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
VfL Bochum

VfL Bochum

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
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 (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 D W L D
VfL Bochum

VfL Bochum

Blended
D L L L D
28 Played 28
14/6/8 W / D / L 3/7/18
1.71 Points Per Game 0.57
1.79 Avg Goals Scored 0.71
1.18 Avg Goals Conceded 2.43
2.96 Avg Goals / Game 3.14
9 Clean Sheets 4
15 BTTS 13
18 Over 2.5 Games 17
Borussia Mönchengladbach

Borussia Mönchengladbach — Home

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
W
FC Augsburg
2–0 HT 2–0
27 May
W
VfL Bochum
2–0 HT 1–0
06 May
L
Union Berlin
0–1 HT 0–0
23 Apr
W
VfL Wolfsburg
2–0 HT 1–0
09 Apr
D
Werder Bremen
2–2 HT 0–0
17 Mar
D
SC Freiburg
0–0 HT 0–0
04 Mar
W
Bayern München
3–2 HT 1–1
18 Feb
D
FC Schalke 04
0–0 HT 0–0
04 Feb
L
Bayer Leverkusen
2–3 HT 0–2
22 Jan
W
Borussia Dortmund
4–2 HT 3–2
11 Nov
W
VfB Stuttgart
3–1 HT 2–1
04 Nov
L
Eintracht Frankfurt
1–3 HT 0–3
22 Oct
W
1. FC Köln
5–2 HT 2–1
09 Oct
W
RB Leipzig
3–0 HT 2–0
17 Sep
L
FSV Mainz 05
0–1 HT 0–0
04 Sep
W
Hertha BSC
1–0 HT 1–0
19 Aug
W
1899 Hoffenheim
3–1 HT 1–1
06 Aug
VfL Bochum

VfL Bochum — Away

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

❓ Borussia Mönchengladbach vs VfL Bochum Form FAQs

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

Borussia Mönchengladbach have gone 16W 17D 23L in their last 56 games (1.16 PPG), while VfL Bochum have gone 15W 15D 26L in their last 56 (1.07 PPG).

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

Borussia Mönchengladbach's home record (1.71 PPG) is the stronger of the two venue-specific splits — Borussia Mönchengladbach at home: 1.71 PPG; VfL Bochum away: 0.57 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 71% of their matches. They've gone in front at half-time 43% of the time, though they've let that lead slip 17% 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 82% of their matches.

The Numbers That Matter

BTTS sits in mixed territory for this pairing — Borussia Mönchengladbach 54%, VfL Bochum 46% — no strong lean either way from the trading data alone.

Goals have flowed in these teams' recent matches — Over 2.5 has landed at 64% for Borussia Mönchengladbach and 61% for VfL Bochum. Stepping up a level, Over 3.5 has also landed reasonably often — 43% and 43% respectively — worth a look for goal-hungry markets.

On the defensive side: Borussia Mönchengladbach keep a clean sheet in 32% of their matches; VfL Bochum in 46%.

📈

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
(56 games)
Venue
(28 games)
Half-Time Metrics
1+ Goal Before HT 43/56
(76.8%)
20/28
(71.4%)
2+ Goals Before HT 28/56
(50%)
15/28
(53.6%)
0-0 HT → 1+ Goal 2nd Half 7/13
(53.8%)
5/8
(62.5%)
0-0 HT → 2+ Goals 2nd Half 3/13
(23.1%)
2/8
(25%)
Winning at HT 19/56
(33.9%)
12/28
(42.9%)
Lost Lead (Win HT → No Win FT) 7/19
(36.8%)
2/12
(16.7%)
Came From Behind (Lose HT → Draw/Win FT) 3/15
(20%)
0/3
(0%)
Full-Time Metrics
BTTS 36/56
(64.3%)
15/28
(53.6%)
Over 2.5 Goals 39/56
(69.6%)
18/28
(64.3%)
Over 3.5 Goals 28/56
(50%)
12/28
(42.9%)
Clean Sheet 12/56
(21.4%)
9/28
(32.1%)
Failed to Score 14/56
(25%)
7/28
(25%)
VfL Bochum VfL Bochum Blended
Metric All
(56 games)
Venue
(28 games)
Half-Time Metrics
1+ Goal Before HT 45/56
(80.4%)
23/28
(82.1%)
2+ Goals Before HT 29/56
(51.8%)
17/28
(60.7%)
0-0 HT → 1+ Goal 2nd Half 9/11
(81.8%)
3/5
(60%)
0-0 HT → 2+ Goals 2nd Half 5/11
(45.5%)
1/5
(20%)
Winning at HT 14/56
(25%)
1/28
(3.6%)
Lost Lead (Win HT → No Win FT) 5/14
(35.7%)
0/1
(0%)
Came From Behind (Lose HT → Draw/Win FT) 1/22
(4.5%)
1/16
(6.2%)
Full-Time Metrics
BTTS 32/56
(57.1%)
13/28
(46.4%)
Over 2.5 Goals 33/56
(58.9%)
17/28
(60.7%)
Over 3.5 Goals 22/56
(39.3%)
12/28
(42.9%)
Clean Sheet 9/56
(16.1%)
4/28
(14.3%)
Failed to Score 17/56
(30.4%)
13/28
(46.4%)

❓ Borussia Mönchengladbach vs VfL Bochum Trading FAQs

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

Not especially — both teams scoring has occurred in only 54% of Borussia Mönchengladbach's recent matches and 46% of VfL Bochum's, a rate that leans toward BTTS No.

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

Recent trends suggest it could be — Over 2.5 goals has landed in 64% of Borussia Mönchengladbach's matches and 61% 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 71% of Borussia Mönchengladbach's recent matches and 82% of VfL Bochum's — a useful reference point for first-half goal markets.

📰

Dominant Borussia Mönchengladbach run riot with a 5-2 hammering of VfL Bochum.

📝 Match Report

How It Unfolded

Borussia Mönchengladbach beat VfL Bochum 5-2 at BORUSSIA-PARK, Regular Season - 23, 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 1.86 xG and VfL Bochum 0.95 xG, a combined 2.81. The scoreboard read 5-2 for 7 actual goals. Borussia Mönchengladbach beat their projection by 3.1 — clinical relative to the chances the model priced in. VfL Bochum outscored their 0.95 projection by 1.0. Those figures were built on strength ratings of Borussia Mönchengladbach attack 0.95 / defence 0.98 against VfL Bochum attack 0.80 / defence 1.18, drawn from 56/56 games (CurrentSeason).

On the result, the model split it Borussia Mönchengladbach 57% | Draw 25% | VfL Bochum 18%, with Borussia Mönchengladbach to win its most likely call at 57%. The result followed the model's preferred path, landing its top-rated outcome.

Goals & Markets

The model rated Over 2.5 goals at 53%. The game delivered 7, so it went over — in line with the projection. Over 1.5 had been 79% and landed. Over 3.5 was 31% and came in. On both teams to score, the model sat at 53% and the match saw both sides score — another call in the model's favour. Historically the two sides average 64% Over 2.5 across their same-competition games (Borussia Mönchengladbach 70%, VfL Bochum 59%), a base rate that agreed with today's over. Their combined BTTS history runs at 61%, which matched the both-scored outcome.

Trading Patterns vs Reality

Borussia Mönchengladbach's trading profile (56 games, 28 home) set some clear expectations: BTTS lands in 64% of their matches — today it did.

VfL Bochum's trading profile (56 games, 28 away) set some clear expectations: BTTS lands in 57% of their matches — today it did.

Form vs Result

The form lines were close — Borussia Mönchengladbach 1.16 PPG, VfL Bochum 1.07 PPG — offering no strong steer, and the Borussia Mönchengladbach win broke the near-deadlock. Borussia Mönchengladbach (home/away splits) scored 5 against a 1.79 average — above their attacking norm and shipped 2 against a 1.18 concession average — a leakier day than usual. VfL Bochum (home/away splits) scored 2 against a 0.71 average — above their attacking norm and shipped 5 against a 2.43 concession average — a leakier day than usual.

Verdict

Grading the result against the stored data, 3 of 3 pre-match signals came in: result (hit), Over 2.5 (hit), BTTS (hit). A strong night for the model: the result sat comfortably inside what the pre-match data projected.

💡 Key Insights

Model Over/Under 2.5 landed as modelled — 53% Over 2.5 probability, 7 goals scored.
Model BTTS matched the model — 53% projected, both teams scored.
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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