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VfL Bochum 1-1 Borussia Dortmund – Result & Analysis

🎯

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

Bundesliga · Regular Season - 30

Kick-off

Fri 28 Apr 2023

19:30

Venue

Vonovia Ruhrstadion

Competition

Bundesliga

Germany

Status

FT
💬 Comment 📝 Notes
📋

Poisson rates Borussia Dortmund at 52% — current form provides partial corroboration, though signals are mixed in this VfL Bochum vs Borussia Dortmund encounter.

✍️ Match Preview

Analysis & Preview

A Bundesliga encounter, Regular Season - 30 sees Borussia Dortmund travel to Vonovia Ruhrstadion to take on VfL Bochum. The game is scheduled for Friday 28 April 2023, 19:30 UTC.

Recent Form

Across all Bundesliga games this season, VfL Bochum have gone 2W 2D 6L from 10 outings — a 0.80 PPG return. Last five: W D L D L. They are averaging 0.80 goals per game and conceding 2.00 — a modest attacking output that tempers optimism on the Over 2.5 market. However, 2.00 goals conceded per game is a concern — opposing attacks have exploited them regularly. 2 clean sheets from 10 outings provides some defensive foundation.

In front of their own supporters this season, VfL Bochum have posted 6W 0D 4L at Vonovia Ruhrstadion — 1.80 PPG. At home they are averaging 1.90 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. Their home PPG of 1.80 is noticeably stronger than their overall 0.80 — VfL Bochum are significantly better at Vonovia Ruhrstadion than their overall form suggests.

Looking at all fixtures this season, Borussia Dortmund stand at 7W 2D 1L from 10 Bundesliga matches — 2.30 PPG. Last five: W L W D W. Their attacking form is sharp — 2.80 goals per game is a high-output rate that commands respect in the goals markets. 3 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.

When travelling in Bundesliga this season, Borussia Dortmund have posted 5W 2D 3L from 10 away outings — 1.70 PPG. They are averaging 1.80 goals per away game — strong road scoring that makes them a threat even without home support. BTTS has landed in 60% of their away games — meaningful support for the Yes angle in this specific context. Their away PPG of 1.70 is notably below their overall 2.30 — form away from home has been a clear weakness this season.

Form points away from home here. Borussia Dortmund's 2.30 PPG return is 1.50 points per game ahead of VfL Bochum's 0.80 — the visitors are the form-based selection, and Double Chance is an alternative worth pricing if the outright looks tight.

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

Head to Head

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

Goals have been a feature of this fixture. The last 3 meetings have averaged 4.0 per game — a rate that gives the Over 2.5 market a solid historical foundation. The most recent clash, on 5 Nov 2022, ended 0–3 with Borussia Dortmund winning.

With the win record balanced, the strongest H2H-derived signal is in the goals market. At 4.0 goals per game historically, Over 2.5 is the cleaner angle to extract from the head-to-head data.

In-Play Data

VfL Bochum trading profile (63 games, 31 at home): they score before half-time in 68% of fixtures in home games; when goalless at HT, a second-half goal follows 89% of the time; two or more arrive in the second half on 50% of those occasions; BTTS occurs in 48% of their matches (home games); Over 2.5 goals lands in 48% of games (home games); they fail to score in 38% of games.

Borussia Dortmund trading profile (63 games, 31 at away): they score before half-time in 94% of fixtures in away games; when goalless at HT, a second-half goal follows 100% of the time; two or more arrive in the second half on 60% of those occasions; they lead at the break 49% of the time; BTTS occurs in 64% of their matches (away games); Over 2.5 goals lands in 61% of games (away games); Over 3.5 in 52%.

BTTS rates are mixed from the trading data — VfL Bochum 48% versus Borussia Dortmund 67%; no strong lean in either direction. The over/under 2.5 picture is inconclusive from the in-play data (VfL Bochum 54% | Borussia Dortmund 73%).

Poisson Model

The Poisson distribution model projects VfL Bochum 1.67 xG and Borussia Dortmund 2.38 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 0.925 / defence 1.481 | Borussia Dortmund attack 1.214 / defence 1.032. League average goals — home 1.750 / away 1.326. Borussia Dortmund have an above-average attack strength of 1.214 — the away xG of 2.38 is driven by genuine attacking quality on the road. Data: 63 VfL Bochum games / 63 Borussia Dortmund games used (CurrentSeason).

Result probabilities: VfL Bochum 25% | Draw 23% | Borussia Dortmund 52%. Fair-value odds: VfL Bochum 4.00 | Draw 4.35 | Borussia Dortmund 1.92. Borussia Dortmund hold a narrow Poisson edge at 52% — the draw (23%) is close enough to merit draw-inclusive market consideration.

Goals markets: Over 2.5 probability 77% | BTTS probability 75% | Total xG 4.05. Over 2.5 is the model's clear signal at 77% — a total xG of 4.05 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 75% reflects that both xG figures (1.67 / 2.38) are above the threshold where scoring blanks become the primary outcome — both sides are projected to find the net.

Summary & Verdict

The Poisson model's primary lean is Borussia Dortmund at 52% — moderate model lean. Current-season form corroborates the Poisson lean — partial multi-source support. With a 23% draw probability, Draw No Bet on Borussia Dortmund offers a more defensible entry point than the straight win.

The Poisson model projects 4.05 xG in total — Over 2.5 at 77% — strong confidence, supported by form averaging 3.5 goals per game and H2H averaging 4.0 goals per meeting.

On the BTTS market, Poisson puts 75% on Yes. Form rates corroborate: VfL Bochum 60% | Borussia Dortmund 60% BTTS from recent games.

🔮 Your Prediction

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💡 Key Insights

H2H The H2H record is evenly balanced (1W–1D–1W), with no clear historical advantage.
Goals H2H (4.00 goals/game) and Poisson xG (4.05) both back Over 2.5 goals (77% Poisson probability).
BTTS H2H BTTS 67% and Poisson BTTS 75% — two-way scoring is the dominant historical and model-backed outcome.
Form Borussia Dortmund lead on PPG: 2.30 vs 0.80 — in-form visitors may prove difficult to contain.
Form Borussia Dortmund Poisson xG (2.38) exceeds their form scoring rate (1.80) — matchup dynamics are elevating the model's expectation.
BTTS BTTS Yes is supported by both form (VfL Bochum 6/10, Borussia Dortmund 6/10) and Poisson model (75%).
Form Form and Poisson model both favour Borussia Dortmund — Borussia Dortmund at 52% win probability.
Goals Poisson Over 2.5 probability is 77% — the model favours goals in this fixture.
BTTS Poisson BTTS probability is 75% — model favours both teams scoring.

🏟️ Match Context

• Fixture: VfL Bochum vs Borussia Dortmund | Competition: Bundesliga, Regular Season - 30 | Venue: Vonovia Ruhrstadion • Kick-off: Friday 28 Apr 2023, 19:30 UTC • Data inputs: H2H history, form splits, prediction model signals, and market pricing

📊 Statistical Prediction

• Poisson result probabilities: VfL Bochum 25% | Draw 23% | Borussia Dortmund 52% • Poisson goal markets: Over 2.5 77% | BTTS 75% | xG VfL Bochum 1.67 / Borussia Dortmund 2.38 • Poisson strength factors: VfL Bochum attack 0.925 / def 1.481 | Borussia Dortmund attack 1.214 / def 1.032 | league avg home 1.750 / away 1.326 • Poisson stance: Borussia Dortmund (52%) — moderate lean

🧮 Prediction Model

1.67

VfL Bochum xG

Expected Goals

2.38

Borussia Dortmund xG

25%
23%
52%
VfL Bochum Draw Borussia Dortmund

75%

BTTS

93%

Over 1.5

77%

Over 2.5

58%

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 Dortmund kick off?

VfL Bochum vs Borussia Dortmund kicked off at 19:30 on Friday 28 April 2023 at Vonovia Ruhrstadion.

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

VfL Bochum 1 - 1 Borussia Dortmund.

Where is VfL Bochum vs Borussia Dortmund being played?

The match is being played at Vonovia Ruhrstadion.

What competition is VfL Bochum vs Borussia Dortmund part of?

VfL Bochum vs Borussia Dortmund is a Regular Season - 30 fixture in the Bundesliga (Germany).

Who is favourite to win VfL Bochum vs Borussia Dortmund?

Our statistical model gives VfL Bochum a 25% chance of winning, Borussia Dortmund a 52% chance, and a 23% chance of a draw — making Borussia Dortmund the favourite.

Will both teams score in VfL Bochum vs Borussia Dortmund?

Our model estimates a 75% probability that both VfL Bochum and Borussia Dortmund will score (BTTS).

Will VfL Bochum vs Borussia Dortmund have over 2.5 goals?

Our model puts the probability of over 2.5 goals in this match at 77%.

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

Record (3 meetings): VfL Bochum 1W | Draws 1 | Borussia Dortmund 1W.

What form are VfL Bochum and Borussia Dortmund in?

VfL Bochum (all comps): 2W-2D-6L in 10 | 0.80 PPG | GF 0.80 / GA 2.00 | L5 W-D-L-D-L. Borussia Dortmund (all comps): 7W-2D-1L in 10 | 2.30 PPG | GF 2.80 / GA 1.30 | L5 W-L-W-D-W.

🧮 Model Insight

Model Mechanics

Working from VfL Bochum's attack rating (0.93) and Borussia Dortmund's defence rating (1.03), the model arrives at 1.67 expected goals for the home side. The same calculation in reverse, Borussia Dortmund's attack versus VfL Bochum's defence, projects 2.38 expected goals for the visitors.

These ratings are built from 63/63 games of current-season data — a full enough sample to trust.

The Exact-Score Picture

Run the expected-goals figures through the full scoreline distribution and 1-2 emerges as the single most likely result, at 8.2%. Close behind: 1-1 (7.8%), 2-2 (6.9%). Together the top three scorelines make up 23% of the probability — a moderately spread distribution, typical of a competitive match-up.

Most Likely Outcome

Borussia Dortmund Win

25%

VfL Bochum

3.98

23%

Draw

4.39

52%

Borussia Dortmund

1.92

Top 3 Most Likely Scorelines

1 – 2

8.2%

Away win

Most likely

1 – 1

6.9%

Draw

2 – 2

6.9%

Draw

Expected Goals & Win Odds

1.67

VfL Bochum xG

Total xG

4.05

2.38

Borussia Dortmund xG

25%
23%
52%
VfL BochumDrawBorussia Dortmund

3.98

25%

Home win

4.39

23%

Draw

1.92

52%

Away win

Goals Markets

91%

Over 1.5

1.10

9%

Under 1.5

11.11

77%

Over 2.5

1.30

23%

Under 2.5

4.35

58%

Over 3.5

1.72

42%

Under 3.5

2.38

38%

Over 4.5

2.63

62%

Under 4.5

1.61

Match Markets

Both Teams to Score

75%

BTTS Yes

1.33

25%

BTTS No

4.06

Clean Sheet

9%

VfL Bochum

10.86

19%

Borussia Dortmund

5.31

Win to Nil

2%

VfL Bochum

43.21

10%

Borussia Dortmund

10.20

Score Probability Matrix (%)

H \ A 0 1 2 3 4 5
0 1.7 4.1 4.9 3.9 2.3 1.1
1 2.9 6.9 8.2 6.5 3.9 1.9
2 2.4 5.8 6.9 5.5 3.3 1.6
3 1.3 3.2 3.8 3.0 1.8 0.9
4 0.6 1.3 1.6 1.3 0.8 0.4
5 0.2 0.4 0.5 0.4 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) 1.670
λ Away (xG) 2.385
Total xG 4.055
League avg home goals 1.750
League avg away goals 1.326
VfL Bochum attack strength 0.925
VfL Bochum defence strength 1.481
Borussia Dortmund attack strength 1.214
Borussia Dortmund defence strength 1.032
Data phase CurrentSeason
Games used (H/A) 63 / 63

❓ Frequently Asked Questions

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

Our Poisson model rates 1-2 as the single most likely exact scoreline, at 8.2%.

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

The model projects 1.67 expected goals for VfL Bochum and 2.38 for Borussia Dortmund, a combined total of 4.05.

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

Not very — the model's leading outcome sits at just 52%, meaning this is rated as a genuinely open contest with no dominant favourite.

📈 Form Insight

Where Both Sides Stand

Across their last 63 outings, VfL Bochum have picked up 1.10 PPG on a 20W 9D 34L record — W-D-L-D-L across the most recent five.

Borussia Dortmund's form line: 41W 6D 16L from 63 games, 2.05 PPG, last five W-L-W-D-W.

Put side by side, Borussia Dortmund are the form team by 0.95 points per game — a gap wide enough to matter, though form alone rarely tells the whole story against VfL Bochum.

Home Ground vs the Road

On home soil, VfL Bochum have posted 1.52 PPG from 31 outings (14W 5D 12L). That's noticeably better than their 1.10 PPG overall — VfL Bochum are a different proposition at home than their general record suggests.

On the road, Borussia Dortmund have gone 16W 5D 10L from 31 away games — 1.71 PPG when travelling.

The Goals Picture

VfL Bochum are averaging 1.11 goals scored and 1.87 conceded per game recently; Borussia Dortmund are on 2.40 scored and 1.44 conceded.

On BTTS specifically: Borussia Dortmund in 67%.

Last 63 Results — Bundesliga

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

VfL Bochum

VfL Bochum

Current Season
W D L D L
Borussia Dortmund

Borussia Dortmund

Current Season
W L W D W
63 Played 63
20/9/34 W / D / L 41/6/16
1.10 Points Per Game 2.05
1.11 Avg Goals Scored 2.40
1.87 Avg Goals Conceded 1.44
2.98 Avg Goals / Game 3.84
11 Clean Sheets 17
30 BTTS 42
34 Over 2.5 Games 46
VfL Bochum

VfL Bochum

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
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 Dortmund

Borussia Dortmund

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

❓ Frequently Asked Questions

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

VfL Bochum have gone 20W 9D 34L in their last 63 games (1.10 PPG), while Borussia Dortmund have gone 41W 6D 16L in their last 63 (2.05 PPG).

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

Borussia Dortmund's away record (1.71 PPG) is the stronger of the two venue-specific splits — VfL Bochum at home: 1.52 PPG; Borussia Dortmund away: 1.71 PPG.

⚔️ Rivalry Insight

A Look Back

The fixture history between VfL Bochum and Borussia Dortmund runs to 8 recorded meetings, the earliest dating back to December 2021. Every recorded meeting has come in Bundesliga. It has been a while since the last meeting — 15 February 2025, some 3 years back — so squads and form on both sides may look very different now.

Digging Into the Numbers

The biggest gap between the sides came on 5 Nov 2022, when Borussia Dortmund won 3-0 — the largest margin of victory on record between these two.

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

Last 8 Meetings

VfL Bochum

2

VfL Bochum

3

Draws

Borussia Dortmund

3

Borussia Dortmund

Recent Meetings

VfL Bochum
2–0
15 Feb 25
Borussia Dortmund
Borussia Dortmund
4–2
27 Sep 24
VfL Bochum
Borussia Dortmund
3–1
28 Jan 24
VfL Bochum
VfL Bochum
1–1
26 Aug 23
Borussia Dortmund
VfL Bochum
1–1
28 Apr 23
Borussia Dortmund
Borussia Dortmund
3–0
05 Nov 22
VfL Bochum
Borussia Dortmund
3–4
30 Apr 22
VfL Bochum
VfL Bochum
1–1
11 Dec 21
Borussia Dortmund

❓ Frequently Asked Questions

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

From 8 meetings on record, VfL Bochum have won 2, Borussia Dortmund have won 3, and 3 have been drawn.

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

They last met on 15 February 2025, when VfL Bochum 2-0 Borussia Dortmund.

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

Borussia Dortmund have the better head-to-head record, with 3 wins from 8 meetings.

📈 Trading Insight

Half-Time Trends

VfL Bochum are typically involved in an early goal — the half-time board shows at least one in 68% of their matches. They've gone in front at half-time 32% of the time.

Borussia Dortmund are typically involved in an early goal — the half-time board shows at least one in 94% of their matches. They've gone in front at half-time 39% of the time, though they've let that lead slip 16% of the time they've held it — worth watching if they're only ahead by one. They've also shown some fight from behind, salvaging a draw or win after trailing at half-time in 13% of those situations.

The Numbers That Matter

BTTS sits in mixed territory for this pairing — VfL Bochum 48%, Borussia Dortmund 64% — no strong lean either way from the trading data alone.

Over 2.5 has been close to a coin-flip for both sides — 48% (VfL Bochum) and 61% (Borussia Dortmund).

On the defensive side: VfL Bochum have failed to score in 32% of games.

📈

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

VfL Bochum VfL Bochum Current Season
Metric All
(63 games)
Venue
(31 games)
Half-Time Metrics
1+ Goal Before HT 45/63
(71.4%)
21/31
(67.7%)
2+ Goals Before HT 25/63
(39.7%)
11/31
(35.5%)
0-0 HT → 1+ Goal 2nd Half 16/18
(88.9%)
8/10
(80%)
0-0 HT → 2+ Goals 2nd Half 9/18
(50%)
5/10
(50%)
Winning at HT 14/63
(22.2%)
10/31
(32.3%)
Lost Lead (Win HT → No Win FT) 3/63
(4.8%)
2/31
(6.5%)
Came From Behind (Lose HT → Draw/Win FT) 3/63
(4.8%)
1/31
(3.2%)
Full-Time Metrics
BTTS 30/63
(47.6%)
15/31
(48.4%)
Over 2.5 Goals 34/63
(54%)
15/31
(48.4%)
Over 3.5 Goals 18/63
(28.6%)
8/31
(25.8%)
Clean Sheet 11/63
(17.5%)
8/31
(25.8%)
Failed to Score 24/63
(38.1%)
10/31
(32.3%)
Borussia Dortmund Borussia Dortmund Current Season
Metric All
(63 games)
Venue
(31 games)
Half-Time Metrics
1+ Goal Before HT 58/63
(92.1%)
29/31
(93.5%)
2+ Goals Before HT 33/63
(52.4%)
15/31
(48.4%)
0-0 HT → 1+ Goal 2nd Half 5/5
(100%)
2/2
(100%)
0-0 HT → 2+ Goals 2nd Half 3/5
(60%)
1/2
(50%)
Winning at HT 31/63
(49.2%)
12/31
(38.7%)
Lost Lead (Win HT → No Win FT) 6/63
(9.5%)
5/31
(16.1%)
Came From Behind (Lose HT → Draw/Win FT) 6/63
(9.5%)
4/31
(12.9%)
Full-Time Metrics
BTTS 42/63
(66.7%)
20/31
(64.5%)
Over 2.5 Goals 46/63
(73%)
19/31
(61.3%)
Over 3.5 Goals 33/63
(52.4%)
14/31
(45.2%)
Clean Sheet 17/63
(27%)
7/31
(22.6%)
Failed to Score 4/63
(6.3%)
4/31
(12.9%)

❓ Frequently Asked Questions

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

Yes — based on recent matches, both teams have scored in 48% of VfL Bochum's games and 64% of Borussia Dortmund's, a combined rate that favours BTTS Yes.

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

Not particularly — Over 2.5 goals has come in for only 48% of VfL Bochum's recent games and 61% of Borussia Dortmund's, pointing to a tighter contest.

Do VfL Bochum and Borussia Dortmund tend to score early?

VfL Bochum have had a goal before half-time in 68% of their recent matches, Borussia Dortmund in 94% — a useful reference point for first-half goal markets.

📰

VfL Bochum and Borussia Dortmund share the spoils in a 1-1 draw.

📝 Match Report

How It Unfolded

The points were shared at Vonovia Ruhrstadion, Regular Season - 30, as VfL Bochum and Borussia Dortmund drew 1-1 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 VfL Bochum 1.67 xG and Borussia Dortmund 2.38 xG, a combined 4.05. The scoreboard read 1-1 for 2 actual goals. Borussia Dortmund landed 1.4 under their projected return. Those figures were built on strength ratings of VfL Bochum attack 0.93 / defence 1.48 against Borussia Dortmund attack 1.21 / defence 1.03, drawn from 63/63 games (CurrentSeason).

On the result, the model split it VfL Bochum 25% | Draw 23% | Borussia Dortmund 52%, with Borussia Dortmund to win its most likely call at 52%. Instead the game produced a draw, an outcome the model had rated at just 23% — a clear break from expectation and a genuine upset by the numbers.

Goals & Markets

The model rated Over 2.5 goals at 77%. The game delivered 2, so it stayed under — against the model's lean. Over 1.5 had been 93% and landed. Over 3.5 was 58% and did not. On both teams to score, the model sat at 75% 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 (VfL Bochum 54%, Borussia Dortmund 73%), a base rate that pointed the other way from today's under. Their combined BTTS history runs at 57%, which matched the both-scored outcome.

Trading Patterns vs Reality

VfL Bochum's trading profile (63 games, 31 home) set some clear expectations: BTTS lands in 48% of their matches — today it did.

Borussia Dortmund's trading profile (63 games, 31 away) set some clear expectations: BTTS lands in 67% of their matches — today it did.

Form vs Result

On form, Borussia Dortmund arrived the stronger side — 2.05 PPG against 1.10. The form guide was only half-right: the stronger side did not lose, but could not convert the edge into a win. Borussia Dortmund (home/away splits) managed 1 against a 1.81 scoring average — below par going forward.

Verdict

Grading the result against the stored data, 1 of 4 pre-match signals came in: result (miss), Over 2.5 (miss), BTTS (hit), form (miss). This one broke away from the data — most of the pre-match signals were overturned by how the ninety minutes actually played out.

💡 Key Insights

Model Goals market defied the model — 77% Over 2.5 probability, but 2 goals scored.
Model BTTS matched the model — 75% projected, both teams scored.
Trading Trading data bucked — 64% historical Over 2.5 rate, but the game stayed under.

⚠️ 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.