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Poisson rates Union Berlin at 47% — current form provides partial corroboration, though signals are mixed in this Union Berlin vs VfL Wolfsburg encounter.

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Match Analysis

Union Berlin host VfL Wolfsburg at Stadion An der Alten Försterei in Bundesliga, Regular Season - 30. Kick-off is scheduled for Saturday 18 April 2026 at 14:30 UTC.

Recent Form

Across all Bundesliga games this season, Union Berlin have gone 2W 2D 6L from 10 outings — a 0.80 PPG return. Last five: L W L D L. They are averaging 0.90 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. Both teams have scored in 60% of their games — a high BTTS rate that carries real weight in the goals markets.

At home at Stadion An der Alten Försterei, Union Berlin have gone 2W 5D 3L this season (10 games, 1.10 PPG). At home they are averaging 1.20 goals scored and 1.60 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.

VfL Wolfsburg — All Games: 0W 2D 8L from 10 Bundesliga fixtures this season — 0.20 PPG. Last five: L D L L L. Their scoring rate of 1.10 per game is modest, conceding 2.40 — not a side to back heavily on the Over 2.5 from their form alone. Conceding 2.40 per game is a high rate — their defensive vulnerabilities have been exposed regularly this season. Both teams have scored in 70% of their games — a noteworthy BTTS rate that supports the Yes market.

On the road, VfL Wolfsburg have gone 1W 3D 6L from 10 away fixtures this term (0.60 PPG). Away from home they average 1.30 goals scored and 2.90 conceded per game. Both teams have scored in 80% of their away matches — a high BTTS rate on the road that directly informs this fixture.

Union Berlin carry the stronger recent momentum — 0.60 PPG ahead of their opponents on 0.80 vs 0.20. The form data is a point in their favour, and where the price allows, it is the cleaner directional bet.

Both teams score in over 70% of each side's relevant games (using home/away splits). At that combined rate, BTTS Yes is as well-evidenced as it gets — the data strongly backs two-way scoring.

H2H

The rivalry is an even one: 4 wins apiece for Union Berlin, 4 for VfL Wolfsburg and 1 shared spoils from 9 past contests. Neither side holds a meaningful historical edge.

The 9 previous meetings have averaged 1.9 goals per game — a neutral rate that provides no strong lean on the goals market from the H2H alone. The most recent clash, on 6 Dec 2025, ended 1–3 with VfL Wolfsburg winning.

The head-to-head offers no strong directional steer in either the result or goals markets. Form, the predictive model and current market pricing should carry more weight than the historical record for this fixture.

In-Play Data

Union Berlin trading profile (63 games, 31 at home): they score before half-time in 74% of fixtures in home games; when goalless at HT, a second-half goal follows 67% of the time; BTTS occurs in 64% of their matches (home games); Over 2.5 goals lands in 55% of games (home games); they fail to score in 33% of games.

VfL Wolfsburg trading profile (63 games, 31 at away): they score before half-time in 71% of fixtures in away games; when goalless at HT, a second-half goal follows 86% 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 49%.

From a combined perspective, both sides have high BTTS rates — Union Berlin 54% and VfL Wolfsburg 71% — which reinforces the BTTS Yes angle from in-play data. The over/under 2.5 picture is inconclusive from the in-play data (Union Berlin 52% | VfL Wolfsburg 64%).

Poisson Model

The Poisson distribution model projects Union Berlin 1.97 xG and VfL Wolfsburg 1.59 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: Union Berlin attack 0.831 / defence 1.101 | VfL Wolfsburg attack 0.996 / defence 1.397. League average goals — home 1.696 / away 1.449. VfL Wolfsburg bring a strong defensive rating of 1.397 — this is suppressing Union Berlin's projected output below what their attack strength alone would suggest. Data: 63 Union Berlin games / 63 VfL Wolfsburg games used (CurrentSeason).

Result probabilities: Union Berlin 47% | Draw 22% | VfL Wolfsburg 31%. Fair-value odds: Union Berlin 2.13 | Draw 4.55 | VfL Wolfsburg 3.23. Union Berlin hold a narrow Poisson edge at 47% — the draw (22%) is close enough to merit draw-inclusive market consideration.

Goals markets: Over 2.5 probability 69% | BTTS probability 68% | Total xG 3.56. Over 2.5 is the model's clear signal at 69% — a total xG of 3.56 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 68% reflects that both xG figures (1.97 / 1.59) are above the threshold where scoring blanks become the primary outcome — both sides are projected to find the net.

Our Verdict

Poisson rates Union Berlin as the most likely outcome at 47% — moderate model lean. Current-season form corroborates the Poisson lean — partial multi-source support. With a 22% draw probability, Draw No Bet on Union Berlin offers a more defensible entry point than the straight win. The opposing side holds a 31% win probability per the model — this is not a banker and should be staked accordingly.

On the goals line, Poisson's 3.56 combined xG gives a 69% probability to Over 2.5 — marginal — conflicting signals, supported by form averaging 3.5 goals per game — though H2H averaging only 1.9 goals per meeting points in the other direction.

Poisson assigns a 68% probability to BTTS Yes based on the attack/defence strength model. Form rates corroborate: Union Berlin 70% | VfL Wolfsburg 80% BTTS from recent games.

The outsider holds a 31% 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.

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