Borussia Dortmund 3-1 VfL Bochum – Result & Analysis
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Poisson model rates Borussia Dortmund at 62%, yet other data sources diverge — this Borussia Dortmund vs VfL Bochum fixture contains genuine analytical tension.
✍️ Match Preview
Match Analysis
Borussia Dortmund host VfL Bochum at BVB Stadion Dortmund in Bundesliga, Regular Season - 19. Kick-off is scheduled for Sunday 28 January 2024 at 16:30 UTC.
Recent Form
Across all Bundesliga games this season, Borussia Dortmund have gone 3W 4D 3L from 10 outings — a 1.30 PPG return. Last five: L D D W W. They are averaging 2.00 goals per game — a high-scoring output that makes them a genuine attacking threat in any fixture. 2 clean sheets 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. This season is still relatively young for Borussia Dortmund, so this record blends games from this season and last.
Borussia Dortmund's home record at BVB Stadion Dortmund: 5W 3D 2L from 10 Bundesliga appearances (1.80 PPG). At home they are averaging 1.80 goals scored and 1.60 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 1.30 — Borussia Dortmund are significantly better at BVB Stadion Dortmund than their overall form suggests.
VfL Bochum — All Games: 4W 4D 2L from 10 Bundesliga fixtures this season — 1.60 PPG. Last five: L W L D W. Their scoring rate of 1.40 per game is modest, conceding 1.30 — not a side to back heavily on the Over 2.5 from their form alone. 3 clean sheets from 10 outings suggests some defensive organisation. Both teams have scored in 60% of their games — a noteworthy BTTS rate that supports the Yes market. This season is still relatively young for VfL Bochum, so this record blends games from this season and last.
VfL Bochum's away record: 1W 4D 5L from 10 road trips in Bundesliga this season (0.70 PPG). Away from home they average 0.70 goals scored and 2.50 conceded per game. Their away PPG of 0.70 is notably below their overall 1.60 — form away from home has been a clear weakness this season.
The form comparison is too close to call — 1.30 PPG (Borussia Dortmund) versus 1.60 (VfL Bochum). When the figures are this level, no pick can be reliably derived from recent results alone.
H2H
The rivalry is an even one: 1 wins apiece for Borussia Dortmund, 1 for VfL Bochum and 3 shared spoils from 5 past contests. Neither side holds a meaningful historical edge.
The 5 previous encounters between these sides have been high-scoring affairs — 3.2 goals per contest on average. Historical precedent backs the Over 2.5 goals market. The most recent clash, on 26 Aug 2023, ended 1–1 with a draw.
With the win record balanced, the strongest H2H-derived signal is in the goals market. At 3.2 goals per game historically, Over 2.5 is the cleaner angle to extract from the head-to-head data.
In-Play Profile
Borussia Dortmund in-play tendencies (52 games, 26 at home): they score before half-time in 85% of fixtures in home games; when goalless at HT, a second-half goal follows 100% of the time; they lead at the break 46% of the time; BTTS occurs in 58% of their matches (home games); Over 2.5 goals lands in 73% of games (home games); Over 3.5 in 50%.
VfL Bochum in-play tendencies (52 games, 26 at away): they score before half-time in 81% of fixtures in away games; when goalless at HT, a second-half goal follows 82% of the time; BTTS occurs in 42% of their matches (away games); Over 2.5 goals lands in 62% of games (away games); Over 3.5 in 38%; they fail to score in 33% of games.
BTTS rates are mixed from the trading data — Borussia Dortmund 60% versus VfL Bochum 54%; no strong lean in either direction. The over/under 2.5 picture is inconclusive from the in-play data (Borussia Dortmund 67% | VfL Bochum 60%).
Poisson Model
The Poisson distribution model projects Borussia Dortmund 2.23 xG and VfL Bochum 1.12 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 Dortmund attack 1.073 / defence 1.188 | VfL Bochum attack 0.737 / defence 1.204. League average goals — home 1.724 / away 1.281. VfL Bochum bring a strong defensive rating of 1.204 — this is suppressing Borussia Dortmund's projected output below what their attack strength alone would suggest. Data: 52 Borussia Dortmund games / 52 VfL Bochum games used (CurrentSeason).
Result probabilities: Borussia Dortmund 62% | Draw 21% | VfL Bochum 17%. Fair-value odds: Borussia Dortmund 1.61 | Draw 4.76 | VfL Bochum 5.88. The model has a clear lean to Borussia Dortmund (62%) — a 45pp gap over the next-most-likely outcome reflects a meaningful statistical advantage.
Goals markets: Over 2.5 probability 65% | BTTS probability 61% | Total xG 3.35. Over 2.5 is the model's clear signal at 65% — a total xG of 3.35 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 61% reflects that both xG figures (2.23 / 1.12) 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 62% — clear model lean. Draw No Bet is worth pricing alongside the outright: 21% draw probability makes the stalemate a live outcome even at this conviction level.
The Poisson model projects 3.35 xG in total — Over 2.5 at 65% — strong confidence, supported by form averaging 3.3 goals per game and H2H averaging 3.2 goals per meeting.
On the BTTS market, Poisson puts 61% on Yes. Form rates corroborate: Borussia Dortmund 60% | VfL Bochum 50% BTTS from recent games.
🔮 Your Prediction
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💡 Key Insights
🏟️ Match Context
• Fixture: Borussia Dortmund vs VfL Bochum | Competition: Bundesliga, Regular Season - 19 | Venue: BVB Stadion Dortmund • Kick-off: Sunday 28 Jan 2024, 16:30 UTC • Data inputs: H2H history, form splits, prediction model signals, and market pricing
📊 Statistical Prediction
• Poisson result probabilities: Borussia Dortmund 62% | Draw 21% | VfL Bochum 17% • Poisson goal markets: Over 2.5 65% | BTTS 61% | xG Borussia Dortmund 2.23 / VfL Bochum 1.12 • Poisson strength factors: Borussia Dortmund attack 1.073 / def 1.188 | VfL Bochum attack 0.737 / def 1.204 | league avg home 1.724 / away 1.281 • Poisson stance: Borussia Dortmund (62%) — strong lean
🧮 Prediction Model
2.23
Borussia Dortmund xG
Expected Goals
1.12
VfL Bochum xG
61%
BTTS
86%
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 Borussia Dortmund vs VfL Bochum kick off?
Borussia Dortmund vs VfL Bochum kicked off at 16:30 on Sunday 28 January 2024 at BVB Stadion Dortmund.
What was the final score in Borussia Dortmund vs VfL Bochum?
Borussia Dortmund 3 - 1 VfL Bochum.
Where is Borussia Dortmund vs VfL Bochum being played?
The match is being played at BVB Stadion Dortmund.
What competition is Borussia Dortmund vs VfL Bochum part of?
Borussia Dortmund vs VfL Bochum is a Regular Season - 19 fixture in the Bundesliga (Germany).
Who is favourite to win Borussia Dortmund vs VfL Bochum?
Our statistical model gives Borussia Dortmund a 62% chance of winning, VfL Bochum a 17% chance, and a 21% chance of a draw — making Borussia Dortmund the favourite.
Will both teams score in Borussia Dortmund vs VfL Bochum?
Our model estimates a 61% probability that both Borussia Dortmund and VfL Bochum will score (BTTS).
Will Borussia Dortmund vs VfL Bochum 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 Borussia Dortmund and VfL Bochum?
Record (5 meetings): Borussia Dortmund 1W | Draws 3 | VfL Bochum 1W.
What form are Borussia Dortmund and VfL Bochum in?
Borussia Dortmund (all comps): 3W-4D-3L in 10 | 1.30 PPG | GF 2.00 / GA 1.70 | L5 L-D-D-W-W. VfL Bochum (all comps): 4W-4D-2L in 10 | 1.60 PPG | GF 1.40 / GA 1.30 | L5 L-W-L-D-W.
🧮 Model Insight
How the Model Works This Match
Borussia Dortmund's attacking strength (1.07x league average) is weighed against VfL Bochum's defensive record (1.20x) to produce a home expected-goals figure of 2.23. The same calculation in reverse, VfL Bochum's attack versus Borussia Dortmund's defence, projects 1.12 expected goals for the visitors.
These ratings are built from 52/52 games of current-season data — a full enough sample to trust.
Most Likely Scorelines
The model's single most probable exact score is 1-1, at 9.9%. Close behind: 2-1 (9.8%), 2-0 (8.7%). Together the top three scorelines make up 28% of the probability — a moderately spread distribution, typical of a competitive match-up.
Most Likely Outcome
Borussia Dortmund Win
62%
1.63
21%
4.69
17%
5.81
Top 3 Most Likely Scorelines
2 β 1
9.8%
Home win
Most likely
1 β 1
8.8%
Draw
2 β 0
8.7%
Home win
Expected Goals & Win Odds
2.23
Borussia Dortmund xG
Total xG
3.35
1.12
VfL Bochum xG
1.63
62%
Home win
4.69
21%
Draw
5.81
17%
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
25%
Over 4.5
4.00
75%
Under 4.5
1.33
Match Markets
Both Teams to Score
61%
BTTS Yes
1.64
39%
BTTS No
2.57
Clean Sheet
33%
3.07
11%
9.28
Win to Nil
20%
4.99
2%
53.96
Score Probability Matrix (%)
| H \ A | 0 | 1 | 2 | 3 | 4 | 5 |
|---|---|---|---|---|---|---|
| 0 | 3.5 | 3.9 | 2.2 | 0.8 | 0.2 | 0.1 |
| 1 | 7.8 | 8.8 | 4.9 | 1.8 | 0.5 | 0.1 |
| 2 | 8.7 | 9.8 | 5.5 | 2.0 | 0.6 | 0.1 |
| 3 | 6.5 | 7.3 | 4.1 | 1.5 | 0.4 | 0.1 |
| 4 | 3.6 | 4.0 | 2.3 | 0.8 | 0.2 | 0.1 |
| 5 | 1.6 | 1.8 | 1.0 | 0.4 | 0.1 | – |
Green = home win Β· Grey = draw Β· Amber = away win Β· Outlined cell = most likely score
▶ Model Internals
❓ Frequently Asked Questions
What is the most likely scoreline for Borussia Dortmund vs VfL Bochum?
Our Poisson model rates 1-1 as the single most likely exact scoreline, at 9.9%.
How many goals are Borussia Dortmund and VfL Bochum expected to score?
The model projects 2.23 expected goals for Borussia Dortmund and 1.12 for VfL Bochum, a combined total of 3.35.
How confident is the prediction model for Borussia Dortmund vs VfL Bochum?
Reasonably confident — the model's leading outcome is rated at 62%, a clear lean rather than a toss-up.
📈 Form Insight
Form at a Glance
Borussia Dortmund come into this having played 52 games, going 31W 11D 10L for 2.00 points per game. Their last five reads L-D-D-W-W. The sample for Borussia Dortmund is still a mix of this season and last, given how young the current campaign is.
On the other side, VfL Bochum sit at 1.06 PPG from 52 outings (14W 13D 25L), a run that reads L-W-L-D-W across their last five. The sample for VfL Bochum is still a mix of this season and last, given how young the current campaign is.
Borussia Dortmund carry the stronger recent form of the two, 0.94 PPG clear of VfL Bochum — worth weighing alongside whatever the head-to-head and market data say.
Venue Form
Borussia Dortmund's home form reads 19W 4D 3L across 26 games on their own ground, a 2.35 PPG return.
Away from home, VfL Bochum have taken 0.58 points per game from 26 outings (3W 6D 17L). That's a step down from their 1.06 PPG overall record — away form has been the weaker part of VfL Bochum's season.
Comparing the two in their relevant venue splits, Borussia Dortmund come out ahead — a more targeted read than the overall PPG figures above, since it strips out games played in the opposite context.
Goals in Recent Form
Borussia Dortmund are averaging 2.31 goals scored and 1.33 conceded per game recently; VfL Bochum are on 1.15 scored and 2.04 conceded.
Last 52 Results — Bundesliga
Current season: same league only · Previous season: all leagues (covers promoted/relegated teams)
Borussia Dortmund
Blended
VfL Bochum
Blended
❓ Frequently Asked Questions
What form are Borussia Dortmund and VfL Bochum in coming into this match?
Borussia Dortmund have gone 31W 11D 10L in their last 52 games (2.00 PPG), while VfL Bochum have gone 14W 13D 25L in their last 52 (1.06 PPG).
Which team has the better venue record — Borussia Dortmund at home or VfL Bochum away?
Borussia Dortmund's home record (2.35 PPG) is the stronger of the two venue-specific splits — Borussia Dortmund at home: 2.35 PPG; VfL Bochum away: 0.58 PPG.
Have Borussia Dortmund or VfL Bochum been keeping clean sheets recently?
Borussia Dortmund have kept a clean sheet in 33% of their recent games, VfL Bochum in 17%.
⚔️ Rivalry Insight
Fixture History
8 meetings separate these sides on the data we hold, the series stretching 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.
Streaks & Records
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.
Borussia Dortmund's record when hosting VfL Bochum specifically: 3W 0D 1L from 4 games — a narrower, venue-specific slice of the head-to-head picture.
Last 8 Meetings
3
Borussia Dortmund
3
Draws
2
VfL Bochum
Recent Meetings
❓ Frequently Asked Questions
What is the head-to-head record between Borussia Dortmund and VfL Bochum?
From 8 meetings on record, Borussia Dortmund have won 3, VfL Bochum have won 2, and 3 have been drawn.
When did Borussia Dortmund and VfL Bochum last play each other?
They last met on 15 February 2025, when VfL Bochum 2-0 Borussia Dortmund.
Who has won more matches between Borussia Dortmund and VfL Bochum?
Borussia Dortmund have the better head-to-head record, with 3 wins from 8 meetings.
📈 Trading Insight
First-Half Patterns
Borussia Dortmund are typically involved in an early goal — the half-time board shows at least one in 85% of their matches. They've gone in front at half-time 54% of the time. They've also shown some fight from behind, salvaging a draw or win after trailing at half-time in 12% of those situations.
VfL Bochum are typically involved in an early goal — the half-time board shows at least one in 81% of their matches.
Full-Time Trends
BTTS sits in mixed territory for this pairing — Borussia Dortmund 58%, VfL Bochum 42% — no strong lean either way from the trading data alone.
Goals have flowed in these teams' recent matches — Over 2.5 has landed at 73% for Borussia Dortmund and 62% for VfL Bochum. Stepping up a level, Over 3.5 has also landed reasonably often — 62% and 42% respectively — worth a look for goal-hungry markets.
On the defensive side: Borussia Dortmund keep a clean sheet in 38% of their matches; VfL Bochum in 50%.
Current season: same league only. Previous season: all leagues (covers promoted/relegated teams). All = any venue | Venue = Borussia Dortmund home games / VfL Bochum away games. HT metrics require half-time score data β shown as β where unavailable.
❓ Frequently Asked Questions
Do both teams usually score when Borussia Dortmund play VfL Bochum?
Not especially — both teams scoring has occurred in only 58% of Borussia Dortmund's recent matches and 42% of VfL Bochum's, a rate that leans toward BTTS No.
Is Borussia Dortmund vs VfL Bochum usually a high-scoring fixture?
Recent trends suggest it could be — Over 2.5 goals has landed in 73% of Borussia Dortmund's matches and 62% of VfL Bochum's.
Do Borussia Dortmund and VfL Bochum tend to score early?
Borussia Dortmund have had a goal before half-time in 85% of their recent matches, VfL Bochum in 81% — a useful reference point for first-half goal markets.
Borussia Dortmund cruise to a comfortable 3-1 victory over VfL Bochum.
📝 Match Report
How It Unfolded
Borussia Dortmund beat VfL Bochum 3-1 at BVB Stadion Dortmund, Regular Season - 19, in the Bundesliga. That is the final score; the rest of this report grades it against what the data forecast beforehand.
The Model vs The Result
The Poisson model went into this projecting Borussia Dortmund 2.23 xG and VfL Bochum 1.12 xG, a combined 3.35. The scoreboard read 3-1 for 4 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 Borussia Dortmund attack 1.07 / defence 1.19 against VfL Bochum attack 0.74 / defence 1.20, drawn from 52/52 games (CurrentSeason).
On the result, the model split it Borussia Dortmund 62% | Draw 21% | VfL Bochum 17%, with Borussia Dortmund to win its most likely call at 62%. The scoreboard confirmed the model's leading pick.
Goals & Markets
The model rated Over 2.5 goals at 65%. The game delivered 4, so it went over — the model's lean was correct. Over 1.5 had been 86% and landed. Over 3.5 was 43% and came in. On both teams to score, the model sat at 61% and the match saw both sides score — another call in the model's favour. Historically the two sides average 63% Over 2.5 across their same-competition games (Borussia Dortmund 67%, VfL Bochum 60%), a base rate that agreed with today's over. Their combined BTTS history runs at 57%, which matched the both-scored outcome.
Trading Patterns vs Reality
Borussia Dortmund's trading profile (52 games, 26 home) set some clear expectations: BTTS lands in 60% of their matches — today it did; they keep a clean sheet 33% of the time, and conceded here.
VfL Bochum's trading profile (52 games, 26 away) set some clear expectations: BTTS lands in 54% of their matches — today it did.
Form vs Result
On form, Borussia Dortmund arrived the stronger side — 2.00 PPG against 1.06. The form guide was vindicated by the result.
Verdict
Grading the result against the stored data, 4 of 4 pre-match signals came in: result (hit), Over 2.5 (hit), BTTS (hit), form (hit). The data earned its keep here, calling the bulk of the fixture correctly.
💡 Key Insights
⚠️ 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.