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Poisson model rates VfL Wolfsburg at 41%, yet other data sources diverge — this FC St. Pauli vs VfL Wolfsburg fixture contains genuine analytical tension.

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Match Analysis

FC St. Pauli host VfL Wolfsburg at Millerntor-Stadion in Bundesliga, Regular Season - 34. Kick-off is scheduled for Saturday 16 May 2026 at 14:30 UTC.

Form Guide

FC St. Pauli — All Games: 1W 3D 6L from 10 Bundesliga outings this season, averaging 0.60 points per game. Last five: L D L L L. They are averaging 0.60 goals per game and conceding 1.70 — a modest attacking output that tempers optimism on the Over 2.5 market. 2 clean sheets from 10 outings provides some defensive foundation.

At home at Millerntor-Stadion, FC St. Pauli have gone 3W 4D 3L this season (10 games, 1.30 PPG). At home they are averaging 1.00 goals scored and 1.40 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. Their home PPG of 1.30 is noticeably stronger than their overall 0.60 — FC St. Pauli are significantly better at Millerntor-Stadion than their overall form suggests.

Looking at all fixtures this season, VfL Wolfsburg stand at 1W 3D 6L from 10 Bundesliga matches — 0.60 PPG. Last five: L W D D L. Their scoring rate of 0.90 per game is modest, conceding 1.90 — not a side to back heavily on the Over 2.5 from their form alone. 1 clean sheet 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.

VfL Wolfsburg away from home this season: 2W 3D 5L from 10 away games — 0.90 PPG on the road. Away from home they average 1.40 goals scored and 2.80 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.

There is minimal separation in the form figures — FC St. Pauli at 0.60 PPG versus VfL Wolfsburg's 0.60. The form guide is not providing a strong directional steer; the model and market data will carry more weight in the final assessment.

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 Record

There is little to separate the sides historically. From 3 previous meetings, FC St. Pauli have won 0, VfL Wolfsburg 1, with 2 draws — a balanced ledger that offers no obvious directional steer on its own.

These sides have historically produced few goals — 1.7 per contest from 3 previous meetings. The Under 2.5 market has a well-supported historical case here. The most recent clash, on 14 Jan 2026, ended 1–2 with VfL Wolfsburg winning.

With a balanced win record and just 1.7 goals per game historically, the H2H points toward a tight, low-scoring contest. Under 2.5 goals has the strongest statistical grounding from the fixture history regardless of which side wins.

Trading Patterns

FC St. Pauli in-play and half-time data (67 games, 33 at home): they score before half-time in 61% of fixtures in home games; when goalless at HT, a second-half goal follows 68% of the time; BTTS occurs in 42% of their matches (home games); Over 2.5 goals lands in 42% of games (home games); they fail to score in 45% of games.

VfL Wolfsburg in-play and half-time data (67 games, 33 at away): they score before half-time in 70% of fixtures in away games; when goalless at HT, a second-half goal follows 82% of the time; BTTS occurs in 67% of their matches (away games); Over 2.5 goals lands in 61% of games (away games); Over 3.5 in 46%.

BTTS rates are mixed from the trading data — FC St. Pauli 43% versus VfL Wolfsburg 70%; no strong lean in either direction. The over/under 2.5 picture is inconclusive from the in-play data (FC St. Pauli 42% | VfL Wolfsburg 61%).

Poisson Model

The Poisson distribution model projects FC St. Pauli 1.39 xG and VfL Wolfsburg 1.55 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: FC St. Pauli attack 0.662 / defence 1.085 | VfL Wolfsburg attack 0.958 / defence 1.223. League average goals — home 1.721 / away 1.492. FC St. Pauli's attack strength of 0.662 is below the league average — the 1.39 xG projection reflects a team that scores at a discount to the division norm. VfL Wolfsburg bring a strong defensive rating of 1.223 — this is suppressing FC St. Pauli's projected output below what their attack strength alone would suggest. Data: 67 FC St. Pauli games / 67 VfL Wolfsburg games used (CurrentSeason).

Result probabilities: FC St. Pauli 34% | Draw 24% | VfL Wolfsburg 41%. Fair-value odds: FC St. Pauli 2.94 | Draw 4.17 | VfL Wolfsburg 2.44. 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 56% | BTTS probability 59% | Total xG 2.94. Over 2.5 holds a meaningful probability edge at 56% — the 2.94 total xG provides moderate support, though the model is not projecting a high-scoring game. BTTS probability of 59% is moderate — neither team is projected to score with enough certainty to make Yes a clear standalone call.

Summary & Verdict

The Poisson model's primary lean is VfL Wolfsburg at 41% — marginal model lean. With a 24% draw probability, Draw No Bet on VfL Wolfsburg 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 2.94 xG in total — Over 2.5 at 56% — marginal — conflicting signals confidence, supported by form averaging 3.3 goals per game — though H2H averaging only 1.7 goals per meeting points in the other direction.

On the BTTS market, Poisson puts 59% on Yes. Form rates corroborate: FC St. Pauli 70% | VfL Wolfsburg 80% 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.

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