SpVgg Greuther Fürth vs VfL Bochum – Pre-Match Analysis

Poisson rates VfL Bochum at 46% — the H2H record provides partial corroboration, though signals are mixed in this SpVgg Greuther Fürth vs VfL Bochum encounter.

✍️ Match Preview

Pre-Match Analysis

SpVgg Greuther Fürth and VfL Bochum meet at Sportpark Ronhof Thomas Sommer in 2. Bundesliga, Regular Season - 22. This fixture gets under way on Saturday 20 February 2027 at 12:30 UTC.

Form

SpVgg Greuther Fürth (all games): 3W 2D 5L across 10 2. Bundesliga fixtures this term — 1.10 PPG. Last five: W D L W L. Offensively they are averaging 1.50 goals per game, with 1.50 conceded. 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. SpVgg Greuther Fürth have played only a handful of 2. Bundesliga games so far this season, so this record also draws on matches from last season.

At home at Sportpark Ronhof Thomas Sommer, SpVgg Greuther Fürth have gone 5W 2D 3L this season (10 games, 1.70 PPG). At home they are averaging 1.60 goals scored and 1.20 conceded per game. Their home PPG of 1.70 is noticeably stronger than their overall 1.10 — SpVgg Greuther Fürth are significantly better at Sportpark Ronhof Thomas Sommer than their overall form suggests.

VfL Bochum have collected 1.70 PPG across 10 2. Bundesliga outings this season: 5W 2D 3L. Last five: W L W L W. Their scoring rate of 1.30 per game is modest, conceding 1.00 — 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 Bochum have played only a handful of 2. Bundesliga games so far this season, so this record also draws on matches from last season.

VfL Bochum's form when playing away from home: 3W 4D 3L across 10 road games this term (1.30 PPG). Away from home they average 1.10 goals scored and 1.40 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.

VfL Bochum arrive in superior form — a 0.60 PPG advantage (1.70 vs 1.10) that offsets much of the home-ground benefit. The away side are the form pick, with draw protection the sensible way to manage the home-field uncertainty.

Head-to-Head

VfL Bochum hold the superior head-to-head record in this fixture, claiming 4 wins from 4 meetings. The hosts have won just 0 times in that span.

The 4 previous meetings have averaged 2.5 goals per game — a neutral rate that provides no strong lean on the goals market from the H2H alone. The most recent clash, on 26 Apr 2026, ended 1–2 with VfL Bochum winning.

It is worth noting that VfL Bochum have a superior record in this fixture despite their visitor status — 4 wins from 4 meetings. Home advantage alone is not a sufficient reason to dismiss that track record.

Trading

SpVgg Greuther Fürth half-time and goal-timing data (38 games, 19 at home): they score before half-time in 83% of fixtures in home games; when goalless at HT, a second-half goal follows 80% of the time; two or more arrive in the second half on 50% of those occasions; BTTS occurs in 47% of their matches (home games); Over 2.5 goals lands in 53% of games (home games); they fail to score in 32% of games.

VfL Bochum half-time and goal-timing data (38 games, 19 at away): they score before half-time in 74% of fixtures in away games; when goalless at HT, a second-half goal follows 78% of the time; two or more arrive in the second half on 56% of those occasions; BTTS occurs in 68% of their matches (away games); Over 2.5 goals lands in 47% of games (away games).

From a combined perspective, both sides have high BTTS rates — SpVgg Greuther Fürth 58% and VfL Bochum 63% — which reinforces the BTTS Yes angle from in-play data. The over/under 2.5 picture is inconclusive from the in-play data (SpVgg Greuther Fürth 60% | VfL Bochum 47%).

Poisson Model

The Poisson distribution model projects SpVgg Greuther Fürth 1.40 xG and VfL Bochum 1.77 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: SpVgg Greuther Fürth attack 1.031 / defence 1.172 | VfL Bochum attack 0.917 / defence 0.779. League average goals — home 1.742 / away 1.645. VfL Bochum's defence strength of 0.779 is below average — they are conceding at a rate that inflates the home xG figure. Data: 37 SpVgg Greuther Fürth games / 38 VfL Bochum games used (CurrentSeason).

Result probabilities: SpVgg Greuther Fürth 31% | Draw 23% | VfL Bochum 46%. Fair-value odds: SpVgg Greuther Fürth 3.23 | Draw 4.35 | VfL Bochum 2.17. VfL Bochum hold a narrow Poisson edge at 46% — the draw (23%) is close enough to merit draw-inclusive market consideration.

Goals markets: Over 2.5 probability 61% | BTTS probability 62% | Total xG 3.17. Over 2.5 holds a meaningful probability edge at 61% — the 3.17 total xG provides moderate support, though the model is not projecting a high-scoring game. BTTS Yes at 62% reflects that both xG figures (1.40 / 1.77) are above the threshold where scoring blanks become the primary outcome — both sides are projected to find the net.

Verdict

The Poisson model's primary lean is VfL Bochum at 46% — moderate model lean. Current-season form corroborates the Poisson lean — partial multi-source support. Draw probability of 23% warrants consideration of Double Chance or Draw No Bet on VfL Bochum if the outright odds are short. The opposing side holds a 31% win probability per the model — this is not a banker and should be staked accordingly.

The Poisson model projects 3.17 xG in total — Over 2.5 at 61% — Poisson-only — limited corroboration confidence.

Poisson assigns a 62% probability to BTTS Yes based on the attack/defence strength model. Form rates corroborate: SpVgg Greuther Fürth 50% | VfL Bochum 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.

🔮 Your Prediction

Sign in to submit your prediction and see how it compares to the rest of the community.

💡 Key Insights