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Poisson rates SpVgg Greuther Fürth at 37% — current form provides partial corroboration, though signals are mixed in this Preußen Münster vs SpVgg Greuther Fürth encounter.

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Match Analysis

Preußen Münster host SpVgg Greuther Fürth at Preussenstadion in 2. Bundesliga, Regular Season - 29. Kick-off is scheduled for Saturday 11 April 2026 at 12:00 UTC.

Form Guide

Preußen Münster — All Games: 1W 4D 5L from 10 2. Bundesliga outings this season, averaging 0.70 points per game. Last five: W L L L D. They are averaging 0.90 goals per game and conceding 1.90 — a modest attacking output that tempers optimism on the Over 2.5 market. 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.

Preußen Münster's form when playing at home: 1W 5D 4L across 10 games at Preussenstadion this term (0.80 PPG). At home they are averaging 1.20 goals scored and 1.70 conceded per game. Both teams have scored in 80% of their home games — an outstanding BTTS rate that is a key data point for this fixture.

Across all 2. Bundesliga games this season, SpVgg Greuther Fürth have recorded 4W 2D 4L from 10 outings — 1.40 PPG. Last five: D W W L L. Their scoring rate of 1.40 per game is modest, conceding 1.50 — not a side to back heavily on the Over 2.5 from their form alone. 2 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.

When travelling in 2. Bundesliga this season, SpVgg Greuther Fürth have posted 2W 1D 7L from 10 away outings — 0.70 PPG. Away from home they average 1.10 goals scored and 2.40 conceded per game. Both teams have scored in 70% of their away matches — a high BTTS rate on the road that directly informs this fixture. Their away PPG of 0.70 is notably below their overall 1.40 — form away from home has been a clear weakness this season.

Form points away from home here. SpVgg Greuther Fürth's 1.40 PPG return is 0.70 points per game ahead of Preußen Münster's 0.70 — the visitors are the form-based selection, and Double Chance is an alternative worth pricing if the outright looks tight.

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, Preußen Münster have won 1, SpVgg Greuther Fürth 2, with 0 draws — a balanced ledger that offers no obvious directional steer on its own.

The 3 previous meetings have averaged 2.7 goals per game — a neutral rate that provides no strong lean on the goals market from the H2H alone. The most recent clash, on 7 Nov 2025, ended 0–1 with SpVgg Greuther Fürth 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

Preußen Münster trading profile (62 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 70% of the time; BTTS occurs in 68% of their matches (home games); Over 2.5 goals lands in 45% of games (home games).

SpVgg Greuther Fürth trading profile (62 games, 31 at away): they score before half-time in 81% of fixtures in away games; when goalless at HT, a second-half goal follows 85% of the time; BTTS occurs in 58% of their matches (away games); Over 2.5 goals lands in 64% of games (away games); Over 3.5 in 39%; they fail to score in 32% of games.

From a combined perspective, both sides have high BTTS rates — Preußen Münster 63% and SpVgg Greuther Fürth 60% — which reinforces the BTTS Yes angle from in-play data. The over/under 2.5 picture is inconclusive from the in-play data (Preußen Münster 52% | SpVgg Greuther Fürth 63%).

Poisson Model

The Poisson distribution model projects Preußen Münster 1.48 xG and SpVgg Greuther Fürth 1.52 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: Preußen Münster attack 0.823 / defence 1.199 | SpVgg Greuther Fürth attack 0.971 / defence 1.141. League average goals — home 1.576 / away 1.306. Data: 62 Preußen Münster games / 62 SpVgg Greuther Fürth games used (CurrentSeason).

Result probabilities: Preußen Münster 36% | Draw 27% | SpVgg Greuther Fürth 37%. Fair-value odds: Preußen Münster 2.78 | Draw 3.70 | SpVgg Greuther Fürth 2.70. This is a low-confidence result — no outcome exceeds 45%. The draw at 27% is a primary outcome, not an afterthought.

Goals markets: Over 2.5 probability 58% | BTTS probability 62% | Total xG 3.00. Over 2.5 holds a meaningful probability edge at 58% — the 3.00 total xG provides moderate support, though the model is not projecting a high-scoring game. BTTS Yes at 62% reflects that both xG figures (1.48 / 1.52) are above the threshold where scoring blanks become the primary outcome — both sides are projected to find the net.

Our Verdict

Poisson rates SpVgg Greuther Fürth as the most likely outcome at 37% — marginal model lean. Current-season form corroborates the Poisson lean — partial multi-source support. With a 27% draw probability, Draw No Bet on SpVgg Greuther Fürth offers a more defensible entry point than the straight win. The opposing side holds a 36% win probability per the model — this is not a banker and should be staked accordingly.

Poisson projects 3.00 total expected goals, pointing to Over 2.5 at 58% probability — reasonable conviction, supported by form averaging 3.2 goals per game.

The Poisson model's BTTS call is Yes at 62%. Form rates corroborate: Preußen Münster 80% | SpVgg Greuther Fürth 70% BTTS from recent games.

The outsider holds a 36% 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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