Borussia Dortmund 3-1 VfL Bochum – Result & Analysis

Poisson model rates Borussia Dortmund at 62% — neither recent form nor the head-to-head data gives a clear steer either way as Borussia Dortmund face VfL Bochum.

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Match Analysis

Borussia Dortmund host VfL Bochum at BVB Stadion Dortmund in Bundesliga (matchday 19). Kick-off is Sunday 28 January 2024 at 16:30 UK time.

Recent Form

Across their last 10 games, Borussia Dortmund have gone 3W 4D 3L — 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 (20%). Both teams have scored in 70% of their games — a high BTTS rate that carries real weight in the goals markets.

Borussia Dortmund's home record over their last 10 home games: 5W 3D 2L (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 home than their overall form suggests.

VfL Bochum — last 10 games: 4W 4D 2L — 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 (30%). Both teams have scored in 60% of their games — a noteworthy BTTS rate that supports the Yes market.

VfL Bochum's away record over their last 10 away games: 1W 4D 5L (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 recently.

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

There is little to separate the sides in our head-to-head data. From 5 H2H matches, Borussia Dortmund have won 1, VfL Bochum 1, with 3 draws — a balanced record that offers no clear steer on its own.

The 5 H2H matches in our data have been high-scoring — 3.2 goals per game on average — which backs the Over 2.5 market from the head-to-head side. The most recent of those, on 26 Aug 2023, ended Borussia Dortmund 1–1 VfL Bochum — a draw.

With the win record balanced, the strongest H2H signal is in the goals market — at 3.2 goals per game, Over 2.5 is the cleaner angle from the head-to-head data.

In-Play Profile

Borussia Dortmund in-play tendencies (last 52 games, 26 of them at home): at least one goal arrives before half-time in 85% of their matches 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; of the 24 games they led at half-time, they failed to win 25%; of the 13 games they trailed at half-time, they recovered to draw or win 54%; 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 (last 52 games, 26 of them away): at least one goal arrives before half-time in 81% of their matches in away games; when goalless at HT, a second-half goal follows 82% of the time; of the 12 games they led at half-time, they failed to win 33%; 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%). Note also that VfL Bochum surrender HT leads in 33% of cases while Borussia Dortmund recover from half-time deficits to draw or win 54% of the time — a dynamic that could influence in-play positioning.

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's defence rating of 1.204 (above 1 = concedes more than average) is pushing Borussia Dortmund's projected output up. VfL Bochum's attack rating of 0.737 is below the league average, which holds their xG down at 1.12. Data: built from Borussia Dortmund's last 52 games and VfL Bochum's last 52.

Result probabilities: Borussia Dortmund 62% | Draw 21% | VfL Bochum 17%. Fair-value odds: Borussia Dortmund 1.63 | Draw 4.69 | VfL Bochum 5.81. The model has a clear lean to Borussia Dortmund (62%) — a 41pp gap over the next-most-likely outcome reflects a meaningful statistical advantage.

Goals markets: Over 2.5 probability 65% | BTTS Yes 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% — both xG figures (2.23 / 1.12) are high enough that each side is 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 conviction, supported by recent form (Borussia Dortmund's last 10 home games and VfL Bochum's last 10 away games) averaging 3.3 goals per game and the H2H data averaging 3.2 goals per game across 5 H2H matches.

On the BTTS market, Poisson puts 61% on Yes. Form rates corroborate — both teams scored in: Borussia Dortmund 60% (last 10 home games) | VfL Bochum 50% (last 10 away games).

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