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VfL Bochum 1-1 Borussia Dortmund – Result & Analysis

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Bundesliga · Regular Season - 2

Kick-off

Sat 26 Aug 2023

14:30

Venue

Vonovia Ruhrstadion

Competition

Bundesliga

Germany

Status

FT
💬 Comment 📡 Chat 📝 Notes
📋

Poisson model rates VfL Bochum at 42%, yet in-form Borussia Dortmund provide a compelling counter-argument — this VfL Bochum vs Borussia Dortmund fixture contains genuine analytical tension.

✍️ Match Preview

Analysis & Preview

A Bundesliga encounter, Regular Season - 2 sees Borussia Dortmund travel to Vonovia Ruhrstadion to take on VfL Bochum. The game is scheduled for Saturday 26 August 2023, 14:30 UTC.

Recent Form

Across all Bundesliga games this season, VfL Bochum have gone 2W 4D 4L from 10 outings — a 1.00 PPG return. Last five: L W D W L. They are averaging 1.30 goals per game and conceding 2.10 — a modest attacking output that tempers optimism on the Over 2.5 market. However, 2.10 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 70% 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.

In front of their own supporters this season, VfL Bochum have posted 5W 1D 4L at Vonovia Ruhrstadion — 1.60 PPG. At home they are averaging 1.90 goals scored and 1.80 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 1.60 is noticeably stronger than their overall 1.00 — VfL Bochum are significantly better at Vonovia Ruhrstadion than their overall form suggests.

Looking at all fixtures this season, Borussia Dortmund stand at 6W 3D 1L from 10 Bundesliga matches — 2.10 PPG. Last five: W W W D W. Their attacking form is sharp — 2.90 goals per game is a high-output rate that commands respect in the goals markets. 4 clean sheets in 10 outings (40%) underlines their defensive solidity. Both teams have scored in 60% of their games — a noteworthy BTTS rate that supports the Yes market. Borussia Dortmund have played only a handful of Bundesliga games so far this season, so this record also draws on matches from last season.

When travelling in Bundesliga this season, Borussia Dortmund have posted 5W 3D 2L from 10 away outings — 1.80 PPG. They are averaging 2.00 goals per away game — strong road scoring that makes them a threat even without home support. 4 clean sheets from 10 away games (40%) shows they are capable of shutting up shop on the road. BTTS has landed in 60% of their away games — meaningful support for the Yes angle in this specific context.

Form points away from home here. Borussia Dortmund's 2.10 PPG return is 1.10 points per game ahead of VfL Bochum's 1.00 — 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 2 shared spoils from 4 past contests. Neither side holds a meaningful historical edge.

Goals have been a feature of this fixture. The last 4 meetings have averaged 3.5 per game — a rate that gives the Over 2.5 market a solid historical foundation. The most recent clash, on 28 Apr 2023, ended 1–1 with a draw.

With the win record balanced, the strongest H2H-derived signal is in the goals market. At 3.5 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 (35 games, 17 at home): they score before half-time in 82% 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 50% of those occasions; BTTS occurs in 59% of their matches (home games); Over 2.5 goals lands in 65% of games (home games); Over 3.5 in 37%; they fail to score in 37% of games.

Borussia Dortmund trading profile (35 games, 17 at away): they score before half-time in 88% 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 50% of those occasions; they lead at the break 51% of the time; BTTS occurs in 53% of their matches (away games); Over 2.5 goals lands in 59% of games (away games); Over 3.5 in 49%.

BTTS rates are mixed from the trading data — VfL Bochum 49% versus Borussia Dortmund 54%; no strong lean in either direction. The over/under 2.5 picture is inconclusive from the in-play data (VfL Bochum 60% | Borussia Dortmund 69%).

Poisson Model

The Poisson distribution model projects VfL Bochum 1.76 xG and Borussia Dortmund 1.57 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 0.990 / defence 1.091 | Borussia Dortmund attack 1.104 / defence 0.904. League average goals — home 1.969 / away 1.305. Data: 35 VfL Bochum games / 35 Borussia Dortmund games used (Blended). A blend of current and prior-season data is applied to stabilise estimates early in the campaign.

Result probabilities: VfL Bochum 42% | Draw 24% | Borussia Dortmund 34%. Fair-value odds: VfL Bochum 2.38 | Draw 4.17 | Borussia Dortmund 2.94. This is a low-confidence result — no outcome exceeds 45%. The draw at 24% is a primary outcome, not an afterthought.

Goals markets: Over 2.5 probability 65% | BTTS probability 66% | Total xG 3.33. Over 2.5 is the model's clear signal at 65% — a total xG of 3.33 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 66% reflects that both xG figures (1.76 / 1.57) 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 VfL Bochum at 42% — marginal model lean. Note a divergence: in-form Borussia Dortmund (2.10 PPG) cuts against the Poisson lean — consider the strength-adjusted model over surface-level form results. With a 24% draw probability, Draw No Bet on VfL Bochum offers a more defensible entry point than the straight win. The opposing side holds a 34% win probability per the model — this is not a banker and should be staked accordingly.

The Poisson model projects 3.33 xG in total — Over 2.5 at 65% — strong confidence, supported by form averaging 3.6 goals per game and H2H averaging 3.5 goals per meeting.

On the BTTS market, Poisson puts 66% on Yes. Form rates corroborate: VfL Bochum 60% | Borussia Dortmund 60% BTTS from recent games.

The outsider holds a 34% win probability per the model — this is not a banker and should not be treated as one. Proportionate stakes are appropriate given the genuine contest the data projects. The Poisson model is drawing on Blended data (35 games minimum) — early-season projections carry additional uncertainty. Weight the live form and odds signals accordingly.

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💡 Key Insights

H2H The H2H record is evenly balanced (1W–2D–1W), with no clear historical advantage.
Goals H2H (3.50 goals/game) and Poisson xG (3.33) both back Over 2.5 goals (65% Poisson probability).
BTTS H2H BTTS 75% and Poisson BTTS 66% — two-way scoring is the dominant historical and model-backed outcome.
Form Borussia Dortmund lead on PPG: 2.10 vs 1.00 — in-form visitors may prove difficult to contain.
Form Borussia Dortmund Poisson xG (1.57) is below their form scoring rate (2.00) — home defensive strength is discounting away goal expectation.
BTTS BTTS Yes is supported by both form (VfL Bochum 6/10, Borussia Dortmund 6/10) and Poisson model (66%).
Form Form (PPG) favours Borussia Dortmund but Poisson leans VfL Bochum (42%) — divergence worth monitoring.
Goals Poisson Over 2.5 probability is 65% — the model favours goals in this fixture.
BTTS Poisson BTTS probability is 66% — model favours both teams scoring.

🏟️ Match Context

• Fixture: VfL Bochum vs Borussia Dortmund | Competition: Bundesliga, Regular Season - 2 | Venue: Vonovia Ruhrstadion • Kick-off: Saturday 26 Aug 2023, 14:30 UTC • Data inputs: H2H history, form splits, prediction model signals, and market pricing

📊 Statistical Prediction

• Poisson result probabilities: VfL Bochum 42% | Draw 24% | Borussia Dortmund 34% • Poisson goal markets: Over 2.5 65% | BTTS 66% | xG VfL Bochum 1.76 / Borussia Dortmund 1.57 • Poisson strength factors: VfL Bochum attack 0.990 / def 1.091 | Borussia Dortmund attack 1.104 / def 0.904 | league avg home 1.969 / away 1.305 • Poisson stance: VfL Bochum (42%) — low confidence — close contest

🧮 Prediction Model

1.76

VfL Bochum xG

Expected Goals

1.57

Borussia Dortmund xG

42%
24%
34%
VfL Bochum Draw Borussia Dortmund

66%

BTTS

85%

Over 1.5

65%

Over 2.5

43%

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 14:30 on Saturday 26 August 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 - 2 fixture in the Bundesliga (Germany).

Who is favourite to win VfL Bochum vs Borussia Dortmund?

Our statistical model gives VfL Bochum a 42% chance of winning, Borussia Dortmund a 34% chance, and a 24% chance of a draw — making VfL Bochum the favourite.

Will both teams score in VfL Bochum vs Borussia Dortmund?

Our model estimates a 66% 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 65%.

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

Record (4 meetings): VfL Bochum 1W | Draws 2 | Borussia Dortmund 1W.

What form are VfL Bochum and Borussia Dortmund in?

VfL Bochum (all comps): 2W-4D-4L in 10 | 1.00 PPG | GF 1.30 / GA 2.10 | L5 L-W-D-W-L. Borussia Dortmund (all comps): 6W-3D-1L in 10 | 2.10 PPG | GF 2.90 / GA 1.30 | L5 W-W-W-D-W.

🧮 Model Insight

Model Mechanics

Working from VfL Bochum's attack rating (0.99) and Borussia Dortmund's defence rating (0.90), the model arrives at 1.76 expected goals for the home side. The same calculation in reverse, Borussia Dortmund's attack versus VfL Bochum's defence, projects 1.57 expected goals for the visitors.

The sample (35/35 games) mixes this season and last, since the current campaign is still relatively young.

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 11.2%. Close behind: 2-1 (8.7%), 1-2 (7.8%). Together the top three scorelines make up 28% of the probability — a moderately spread distribution, typical of a competitive match-up.

Most Likely Outcome

VfL Bochum Win

42%

VfL Bochum

2.37

24%

Draw

4.22

34%

Borussia Dortmund

2.93

Top 3 Most Likely Scorelines

1 – 1

9.9%

Draw

Most likely

2 – 1

8.7%

Home win

1 – 2

7.8%

Away win

Expected Goals & Win Odds

1.76

VfL Bochum xG

Total xG

3.33

1.57

Borussia Dortmund xG

42%
24%
34%
VfL BochumDrawBorussia Dortmund

2.37

42%

Home win

4.22

24%

Draw

2.93

34%

Away win

Goals Markets

85%

Over 1.5

1.18

15%

Under 1.5

6.67

65%

Over 2.5

1.54

35%

Under 2.5

2.86

43%

Over 3.5

2.33

57%

Under 3.5

1.75

24%

Over 4.5

4.17

76%

Under 4.5

1.32

Match Markets

Both Teams to Score

66%

BTTS Yes

1.51

34%

BTTS No

2.95

Clean Sheet

21%

VfL Bochum

4.82

17%

Borussia Dortmund

5.83

Win to Nil

9%

VfL Bochum

11.42

6%

Borussia Dortmund

17.07

Score Probability Matrix (%)

H \ A 0 1 2 3 4 5
0 3.6 5.6 4.4 2.3 0.9 0.3
1 6.3 9.9 7.8 4.1 1.6 0.5
2 5.5 8.7 6.8 3.6 1.4 0.4
3 3.3 5.1 4.0 2.1 0.8 0.3
4 1.4 2.3 1.8 0.9 0.4 0.1
5 0.5 0.8 0.6 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) 1.763
λ Away (xG) 1.572
Total xG 3.335
League avg home goals 1.969
League avg away goals 1.305
VfL Bochum attack strength 0.990
VfL Bochum defence strength 1.091
Borussia Dortmund attack strength 1.104
Borussia Dortmund defence strength 0.904
Data phase Blended
Games used (H/A) 35 / 35

❓ Frequently Asked Questions

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

Our Poisson model rates 1-1 as the single most likely exact scoreline, at 11.2%.

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

The model projects 1.76 expected goals for VfL Bochum and 1.57 for Borussia Dortmund, a combined total of 3.33.

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

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

📈 Form Insight

Where Both Sides Stand

Across their last 35 outings, VfL Bochum have picked up 1.00 PPG on a 10W 5D 20L record — L-W-D-W-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 Dortmund's form line: 23W 5D 7L from 35 games, 2.11 PPG, last five W-W-W-D-W. It's still early in the season for Borussia Dortmund, so this record blends in a handful of games from last season too.

Put side by side, Borussia Dortmund are the form team by 1.11 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 1.53 PPG from 17 outings (8W 2D 7L). That's noticeably better than their 1.00 PPG overall — VfL Bochum are a different proposition at home than their general record suggests.

On the road, Borussia Dortmund have gone 8W 3D 6L from 17 away games — 1.59 PPG when travelling. That's a step down from their 2.11 PPG overall record — away form has been the weaker part of Borussia Dortmund's season.

The Goals Picture

VfL Bochum are averaging 1.14 goals scored and 2.20 conceded per game recently; Borussia Dortmund are on 2.40 scored and 1.26 conceded.

Defensively: Borussia Dortmund in 37% — worth knowing if you're weighing up clean-sheet or BTTS-No markets.

Last 35 Results — Bundesliga

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

VfL Bochum

VfL Bochum

Early Season
L W D W L
Borussia Dortmund

Borussia Dortmund

Early Season
W W W D W
35 Played 35
10/5/20 W / D / L 23/5/7
1.00 Points Per Game 2.11
1.14 Avg Goals Scored 2.40
2.20 Avg Goals Conceded 1.26
3.34 Avg Goals / Game 3.66
5 Clean Sheets 13
17 BTTS 19
21 Over 2.5 Games 24
VfL Bochum

VfL Bochum

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 Dortmund

Borussia Dortmund

W
H 1. FC Köln
1–0 HT 0–0
19 Aug
D
H FSV Mainz 05
2–2 HT 0–2
27 May
W
A FC Augsburg
3–0 HT 0–0
21 May
W
H Borussia Mönchengladbach
5–2 HT 4–0
13 May
W
H VfL Wolfsburg
6–0 HT 3–0
07 May
D
A VfL Bochum
1–1 HT 1–1
28 Apr
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

❓ Frequently Asked Questions

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

VfL Bochum have gone 10W 5D 20L in their last 35 games (1.00 PPG), while Borussia Dortmund have gone 23W 5D 7L in their last 35 (2.11 PPG).

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

Borussia Dortmund's away record (1.59 PPG) is the stronger of the two venue-specific splits — VfL Bochum at home: 1.53 PPG; Borussia Dortmund away: 1.59 PPG.

Have VfL Bochum or Borussia Dortmund been keeping clean sheets recently?

VfL Bochum have kept a clean sheet in 14% of their recent games, Borussia Dortmund in 37%.

⚔️ 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 82% of their matches. They've gone in front at half-time 35% of the time.

Borussia Dortmund are typically involved in an early goal — the half-time board shows at least one in 88% of their matches. They've gone in front at half-time 35% of the time, though they've let that lead slip 18% of the time they've held it — worth watching if they're only ahead by one.

The Numbers That Matter

BTTS sits in mixed territory for this pairing — VfL Bochum 59%, Borussia Dortmund 53% — no strong lean either way from the trading data alone.

Goals have flowed in these teams' recent matches — Over 2.5 has landed at 65% for VfL Bochum and 59% for Borussia Dortmund. Stepping up a level, Over 3.5 has also landed reasonably often — 35% and 35% respectively — worth a look for goal-hungry markets.

📈

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 Early Season
Metric All
(35 games)
Venue
(17 games)
Half-Time Metrics
1+ Goal Before HT 29/35
(82.9%)
14/17
(82.4%)
2+ Goals Before HT 18/35
(51.4%)
9/17
(52.9%)
0-0 HT → 1+ Goal 2nd Half 6/6
(100%)
3/3
(100%)
0-0 HT → 2+ Goals 2nd Half 3/6
(50%)
2/3
(66.7%)
Winning at HT 7/35
(20%)
6/17
(35.3%)
Lost Lead (Win HT → No Win FT) 1/35
(2.9%)
1/17
(5.9%)
Came From Behind (Lose HT → Draw/Win FT) 1/35
(2.9%)
0/17
(0%)
Full-Time Metrics
BTTS 17/35
(48.6%)
10/17
(58.8%)
Over 2.5 Goals 21/35
(60%)
11/17
(64.7%)
Over 3.5 Goals 13/35
(37.1%)
6/17
(35.3%)
Clean Sheet 5/35
(14.3%)
3/17
(17.6%)
Failed to Score 13/35
(37.1%)
4/17
(23.5%)
Borussia Dortmund Borussia Dortmund Early Season
Metric All
(35 games)
Venue
(17 games)
Half-Time Metrics
1+ Goal Before HT 31/35
(88.6%)
15/17
(88.2%)
2+ Goals Before HT 19/35
(54.3%)
8/17
(47.1%)
0-0 HT → 1+ Goal 2nd Half 4/4
(100%)
2/2
(100%)
0-0 HT → 2+ Goals 2nd Half 2/4
(50%)
2/2
(100%)
Winning at HT 18/35
(51.4%)
6/17
(35.3%)
Lost Lead (Win HT → No Win FT) 4/35
(11.4%)
3/17
(17.6%)
Came From Behind (Lose HT → Draw/Win FT) 3/35
(8.6%)
1/17
(5.9%)
Full-Time Metrics
BTTS 19/35
(54.3%)
9/17
(52.9%)
Over 2.5 Goals 24/35
(68.6%)
10/17
(58.8%)
Over 3.5 Goals 17/35
(48.6%)
6/17
(35.3%)
Clean Sheet 13/35
(37.1%)
5/17
(29.4%)
Failed to Score 3/35
(8.6%)
3/17
(17.6%)

❓ Frequently Asked Questions

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

Yes — based on recent matches, both teams have scored in 59% of VfL Bochum's games and 53% of Borussia Dortmund's, a combined rate that favours BTTS Yes.

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

Recent trends suggest it could be — Over 2.5 goals has landed in 65% of VfL Bochum's matches and 59% of Borussia Dortmund's.

Do VfL Bochum and Borussia Dortmund tend to score early?

VfL Bochum have had a goal before half-time in 82% of their recent matches, Borussia Dortmund in 88% — 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

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

The Model vs The Result

The Poisson model went into this projecting VfL Bochum 1.76 xG and Borussia Dortmund 1.57 xG, a combined 3.33. The scoreboard read 1-1 for 2 actual goals. Both sides finished within a goal of their individual projections, so the scoreline sat close to the model's expected shape. Those figures were built on strength ratings of VfL Bochum attack 0.99 / defence 1.09 against Borussia Dortmund attack 1.10 / defence 0.90, drawn from 35/35 games (Blended).

On the result, the model split it VfL Bochum 42% | Draw 24% | Borussia Dortmund 34%, with VfL Bochum to win its most likely call at 42%. Instead the game produced a draw, an outcome the model had rated at just 24% — a clear break from expectation and a genuine upset by the numbers.

Goals & Markets

The model rated Over 2.5 goals at 65%. The game delivered 2, so it stayed under — the opposite of the projected direction. Over 1.5 had been 85% and landed. Over 3.5 was 43% and did not. On both teams to score, the model sat at 66% 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 60%, Borussia Dortmund 69%), a base rate that pointed the other way from today's under. Their combined BTTS history runs at 51%, which matched the both-scored outcome.

Trading Patterns vs Reality

VfL Bochum's trading profile (35 games, 17 home) set some clear expectations: BTTS lands in 49% of their matches — today it did.

Borussia Dortmund's trading profile (35 games, 17 away) set some clear expectations: BTTS lands in 54% of their matches — today it did; they keep a clean sheet 37% of the time, and conceded here.

Form vs Result

On form, Borussia Dortmund arrived the stronger side — 2.11 PPG against 1.00. The form guide was only half-right: the stronger side did not lose, but could not convert the edge into a win. VfL Bochum (home/away splits) conceded 1 against a 1.88 average — tighter than their form line.

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). The data was on the wrong side of this result more often than not — a reminder that a single match sits well inside the model's variance.

💡 Key Insights

Model Goals market defied the model — 65% Over 2.5 probability, but 2 goals scored.
Model BTTS matched the model — 66% 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.