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VfL Bochum 1-0 FC St. Pauli – Result & Analysis

🎯

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Bundesliga · Regular Season - 17

Kick-off

Wed 15 Jan 2025

17:30

Venue

Vonovia Ruhrstadion

Competition

Bundesliga

Germany

Status

FT
💬 Comment 📝 Notes
📋

Poisson model rates FC St. Pauli at 38%, yet other data sources diverge — this VfL Bochum vs FC St. Pauli fixture contains genuine analytical tension.

✍️ Match Preview

Analysis

FC St. Pauli make the trip to Vonovia Ruhrstadion to face VfL Bochum in Bundesliga, Regular Season - 17. The match kicks off on Wednesday 15 January 2025 at 17:30 UTC.

Current Form

VfL Bochum's overall Bundesliga record this term: 1W 2D 7L from 10 games (0.50 PPG). Last five: L L D W L. They are averaging 0.70 goals per game and conceding 2.30 — a modest attacking output that tempers optimism on the Over 2.5 market. However, 2.30 goals conceded per game is a concern — opposing attacks have exploited them regularly. 1 clean sheet from 10 outings provides some defensive foundation. This season is still relatively young for VfL Bochum, so this record blends games from this season and last.

In front of their own supporters this season, VfL Bochum have posted 2W 2D 6L at Vonovia Ruhrstadion — 0.80 PPG. At home they are averaging 0.90 goals scored and 2.40 conceded per game.

FC St. Pauli (all games): 3W 1D 6L across 10 Bundesliga outings this term — 1.00 points per game. Last five: W L L W L. Their scoring rate of 0.80 per game is modest, conceding 1.10 — not a side to back heavily on the Over 2.5 from their form alone. 3 clean sheets from 10 outings suggests some defensive organisation. Both teams have scored in just 30% of their games, reflecting a regular tendency to keep or record clean sheets. This season is still relatively young for FC St. Pauli, so this record blends games from this season and last.

When travelling in Bundesliga this season, FC St. Pauli have posted 4W 0D 6L from 10 away outings — 1.20 PPG. Away from home they average 1.10 goals scored and 1.20 conceded per game.

FC St. Pauli arrive in superior form — a 0.50 PPG advantage (1.00 vs 0.50) 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.

Trading & In-Play

VfL Bochum — key trading statistics (50 games, 24 at home): they score before half-time in 75% of fixtures in home games; when goalless at HT, a second-half goal follows 82% of the time; two or more arrive in the second half on 54% of those occasions; BTTS occurs in 67% of their matches (home games); Over 2.5 goals lands in 58% of games (home games); Over 3.5 in 44%; they fail to score in 30% of games.

FC St. Pauli — key trading statistics (50 games, 24 at away): they score before half-time in 79% of fixtures in away games; when goalless at HT, a second-half goal follows 57% of the time; BTTS occurs in 58% of their matches (away games); Over 2.5 goals lands in 54% of games (away games); they fail to score in 30% of games.

BTTS rates are mixed from the trading data — VfL Bochum 62% versus FC St. Pauli 52%; no strong lean in either direction. The over/under 2.5 picture is inconclusive from the in-play data (VfL Bochum 60% | FC St. Pauli 50%).

Poisson Model

The Poisson distribution model projects VfL Bochum 1.09 xG and FC St. Pauli 1.21 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: VfL Bochum attack 0.730 / defence 1.039 | FC St. Pauli attack 0.811 / defence 0.843. League average goals — home 1.769 / away 1.432. VfL Bochum's attack strength of 0.730 is below the league average — the 1.09 xG projection reflects a team that scores at a discount to the division norm. Data: 50 VfL Bochum games / 16 FC St. Pauli games used (CurrentSeason).

Result probabilities: VfL Bochum 32% | Draw 29% | FC St. Pauli 38%. Fair-value odds: VfL Bochum 3.12 | Draw 3.45 | FC St. Pauli 2.63. This is a low-confidence result — no outcome exceeds 45%. The draw at 29% is a primary outcome, not an afterthought.

Goals markets: Over 2.5 probability 40% | BTTS probability 47% | Total xG 2.30. Under 2.5 has a narrow probability edge at 60% — total xG of 2.30 is below the line but not decisively so. BTTS probability of 47% is moderate — neither team is projected to score with enough certainty to make Yes a clear standalone call.

Picks & Verdict

On the Poisson output, FC St. Pauli are the pick at 38% — marginal model lean. Current-season form corroborates the Poisson lean — partial multi-source support. Draw probability of 29% warrants consideration of Double Chance or Draw No Bet on FC St. Pauli if the outright odds are short. The opposing side holds a 32% win probability per the model — this is not a banker and should be staked accordingly.

On the goals line, Poisson's 2.30 combined xG gives a 40% probability to Under 2.5 — Poisson-only — limited corroboration.

The Poisson model's BTTS call is No at 47%. Form rates corroborate: VfL Bochum 40% | FC St. Pauli 40% BTTS from recent games.

The outsider holds a 32% 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

Form FC St. Pauli lead on PPG: 1.00 vs 0.50 — in-form visitors may prove difficult to contain.
Form Form and Poisson model both favour FC St. Pauli — FC St. Pauli at 38% win probability.
Goals Poisson Over 2.5 probability is only 40% — the model points to an Under 2.5 outcome.

🏟️ Match Context

• Fixture: VfL Bochum vs FC St. Pauli | Competition: Bundesliga, Regular Season - 17 | Venue: Vonovia Ruhrstadion • Kick-off: Wednesday 15 Jan 2025, 17:30 UTC • Data inputs: H2H history, form splits, prediction model signals, and market pricing

📊 Statistical Prediction

• Poisson result probabilities: VfL Bochum 32% | Draw 29% | FC St. Pauli 38% • Poisson goal markets: Over 2.5 40% | BTTS 47% | xG VfL Bochum 1.09 / FC St. Pauli 1.21 • Poisson strength factors: VfL Bochum attack 0.730 / def 1.039 | FC St. Pauli attack 0.811 / def 0.843 | league avg home 1.769 / away 1.432 • Poisson stance: FC St. Pauli (38%) — low confidence — close contest

🧮 Prediction Model

1.09

VfL Bochum xG

Expected Goals

1.21

FC St. Pauli xG

32%
29%
38%
VfL Bochum Draw FC St. Pauli

47%

BTTS

67%

Over 1.5

40%

Over 2.5

20%

Over 3.5

Full score-by-score matrix & model internals in the "Full Poisson Detail" section below ↓

⚠️ This analysis is generated algorithmically from statistical data and is intended for informational purposes only. It does not constitute betting advice. Please gamble responsibly.

❓ Frequently Asked Questions

What time does VfL Bochum vs FC St. Pauli kick off?

VfL Bochum vs FC St. Pauli kicked off at 17:30 on Wednesday 15 January 2025 at Vonovia Ruhrstadion.

What was the final score in VfL Bochum vs FC St. Pauli?

VfL Bochum 1 - 0 FC St. Pauli.

Where is VfL Bochum vs FC St. Pauli being played?

The match is being played at Vonovia Ruhrstadion.

What competition is VfL Bochum vs FC St. Pauli part of?

VfL Bochum vs FC St. Pauli is a Regular Season - 17 fixture in the Bundesliga (Germany).

Who is favourite to win VfL Bochum vs FC St. Pauli?

Our statistical model gives VfL Bochum a 32% chance of winning, FC St. Pauli a 38% chance, and a 29% chance of a draw — making FC St. Pauli the favourite.

Will both teams score in VfL Bochum vs FC St. Pauli?

Our model estimates a 47% probability that both VfL Bochum and FC St. Pauli will score (BTTS).

Will VfL Bochum vs FC St. Pauli have over 2.5 goals?

Our model puts the probability of over 2.5 goals in this match at 40%.

What is the head-to-head record between VfL Bochum and FC St. Pauli?

No recorded head-to-head meetings available in the dataset.

What form are VfL Bochum and FC St. Pauli in?

VfL Bochum (all comps): 1W-2D-7L in 10 | 0.50 PPG | GF 0.70 / GA 2.30 | L5 L-L-D-W-L. FC St. Pauli (all comps): 3W-1D-6L in 10 | 1.00 PPG | GF 0.80 / GA 1.10 | L5 W-L-L-W-L.

🧮 Model Insight

Behind the Numbers

VfL Bochum's attacking strength (0.73x league average) is weighed against FC St. Pauli's defensive record (0.84x) to produce a home expected-goals figure of 1.09. Flip it around — FC St. Pauli's attack (0.81x) against VfL Bochum's defence (1.04x) — and the away total comes out at 1.21.

These ratings are built from 50/16 games of current-season data — a full enough sample to trust.

Most Likely Scorelines

The model's single most probable exact score is 1-1, at 15.0%. Close behind: 0-0 (11.8%), 0-1 (10.4%). Those top three scorelines alone account for 37% of the model's total probability mass — a relatively concentrated, predictable distribution for this fixture.

Most Likely Outcome

FC St. Pauli Win

32%

VfL Bochum

3.08

29%

Draw

3.42

38%

FC St. Pauli

2.61

Top 3 Most Likely Scorelines

1 – 1

13.2%

Draw

Most likely

0 – 1

12.1%

Away win

1 – 0

11.0%

Home win

Expected Goals & Win Odds

1.09

VfL Bochum xG

Total xG

2.30

1.21

FC St. Pauli xG

32%
29%
38%
VfL BochumDrawFC St. Pauli

3.08

32%

Home win

3.42

29%

Draw

2.61

38%

Away win

Goals Markets

67%

Over 1.5

1.49

33%

Under 1.5

3.03

40%

Over 2.5

2.50

60%

Under 2.5

1.67

20%

Over 3.5

5.00

80%

Under 3.5

1.25

8%

Over 4.5

12.50

92%

Under 4.5

1.09

Match Markets

Both Teams to Score

47%

BTTS Yes

2.13

53%

BTTS No

1.89

Clean Sheet

30%

VfL Bochum

3.34

34%

FC St. Pauli

2.97

Win to Nil

10%

VfL Bochum

10.30

13%

FC St. Pauli

7.76

Score Probability Matrix (%)

H \ A 0 1 2 3 4 5
0 10.1 12.1 7.3 3.0 0.9 0.2
1 11.0 13.2 8.0 3.2 1.0 0.2
2 6.0 7.2 4.3 1.7 0.5 0.1
3 2.2 2.6 1.6 0.6 0.2
4 0.6 0.7 0.4 0.2 0.1
5 0.1 0.2 0.1

Green = home win Β· Grey = draw Β· Amber = away win Β· Outlined cell = most likely score

Model Internals
λ Home (xG) 1.089
λ Away (xG) 1.207
Total xG 2.296
League avg home goals 1.769
League avg away goals 1.432
VfL Bochum attack strength 0.730
VfL Bochum defence strength 1.039
FC St. Pauli attack strength 0.811
FC St. Pauli defence strength 0.843
Data phase CurrentSeason
Games used (H/A) 50 / 16

❓ Frequently Asked Questions

What is the most likely scoreline for VfL Bochum vs FC St. Pauli?

Our Poisson model rates 1-1 as the single most likely exact scoreline, at 15.0%.

How many goals are VfL Bochum and FC St. Pauli expected to score?

The model projects 1.09 expected goals for VfL Bochum and 1.21 for FC St. Pauli, a combined total of 2.30.

How confident is the prediction model for VfL Bochum vs FC St. Pauli?

Not very — the model's leading outcome sits at just 38%, meaning this is rated as a genuinely open contest with no dominant favourite.

📈 Form Insight

The Form Picture

VfL Bochum's recent record stands at 9W 14D 27L from 50 games, a 0.82 PPG return, with L-L-D-W-L in the last five. The sample for VfL Bochum is still a mix of this season and last, given how young the current campaign is.

FC St. Pauli, meanwhile, have gone 24W 11D 15L across 50 games — 1.66 PPG, with W-L-L-W-L in their last five. The sample for FC St. Pauli is still a mix of this season and last, given how young the current campaign is.

The points-per-game comparison favours FC St. Pauli by 0.84 — a real, if not enormous, edge over VfL Bochum heading into this one.

Home & Away Splits

At home specifically, VfL Bochum have managed 6W 9D 9L from 24 games — 1.12 PPG in front of their own supporters.

FC St. Pauli's away record stands at 11W 4D 9L across 24 trips, a 1.54 PPG haul.

Comparing the two in their relevant venue splits, FC St. Pauli come out ahead — a more targeted read than the overall PPG figures above, since it strips out games played in the opposite context.

Scoring & Defensive Trends

VfL Bochum are averaging 1.14 goals scored and 2.16 conceded per game recently; FC St. Pauli are on 1.48 scored and 1.12 conceded.

On BTTS specifically: VfL Bochum have seen both teams score in 62% of their recent games.

Last 50 Results — Bundesliga

Current season: same league only · Previous season: all leagues (covers promoted/relegated teams)

VfL Bochum

VfL Bochum

Blended
L L D W L
FC St. Pauli

FC St. Pauli

Blended
W L L W L
50 Played 50
9/14/27 W / D / L 24/11/15
0.82 Points Per Game 1.66
1.14 Avg Goals Scored 1.48
2.16 Avg Goals Conceded 1.12
3.30 Avg Goals / Game 2.60
6 Clean Sheets 15
31 BTTS 26
30 Over 2.5 Games 25
VfL Bochum

VfL Bochum

L
A FSV Mainz 05
0–2 HT 0–1
11 Jan
W
H 1. FC Heidenheim
2–0 HT 2–0
22 Dec
D
A Union Berlin
1–1 HT 1–1
14 Dec
L
H Werder Bremen
0–1 HT 0–0
07 Dec
L
A FC Augsburg
0–1 HT 0–1
30 Nov
L
A VfB Stuttgart
0–2 HT 0–0
23 Nov
D
H Bayer Leverkusen
1–1 HT 0–1
09 Nov
L
A Eintracht Frankfurt
2–7 HT 1–4
02 Nov
L
H Bayern München
0–5 HT 0–2
27 Oct
L
A 1899 Hoffenheim
1–3 HT 0–1
19 Oct
L
H VfL Wolfsburg
1–3 HT 0–2
05 Oct
L
A Borussia Dortmund
2–4 HT 2–1
27 Sep
D
H Holstein Kiel
2–2 HT 2–1
21 Sep
L
A SC Freiburg
1–2 HT 1–0
14 Sep
L
H Borussia Mönchengladbach
0–2 HT 0–0
31 Aug
L
A RB Leipzig
0–1 HT 0–0
24 Aug
W
A Fortuna Düsseldorf
3–0 HT 1–0
27 May
L
H Fortuna Düsseldorf
0–3 HT 0–1
23 May
L
A Werder Bremen
1–4 HT 0–1
18 May
L
H Bayer Leverkusen
0–5 HT 0–2
12 May
W
A Union Berlin
4–3 HT 3–0
05 May
W
H 1899 Hoffenheim
3–2 HT 2–0
26 Apr
L
A VfL Wolfsburg
0–1 HT 0–1
20 Apr
D
H 1. FC Heidenheim
1–1 HT 0–0
13 Apr
L
A 1. FC Köln
1–2 HT 0–0
06 Apr
D
H SV Darmstadt 98
2–2 HT 1–0
31 Mar
L
A FSV Mainz 05
0–2 HT 0–1
16 Mar
L
H SC Freiburg
1–2 HT 0–1
10 Mar
L
H RB Leipzig
1–4 HT 1–1
02 Mar
L
A Borussia Mönchengladbach
2–5 HT 0–2
24 Feb
W
H Bayern München
3–2 HT 2–1
18 Feb
D
A Eintracht Frankfurt
1–1 HT 1–1
10 Feb
D
H FC Augsburg
1–1 HT 1–0
03 Feb
L
A Borussia Dortmund
1–3 HT 1–1
28 Jan
W
H VfB Stuttgart
1–0 HT 0–0
20 Jan
D
H Werder Bremen
1–1 HT 0–0
14 Jan
L
A Bayer Leverkusen
0–4 HT 0–3
20 Dec
W
H Union Berlin
3–0 HT 1–0
16 Dec
L
A 1899 Hoffenheim
1–3 HT 0–2
08 Dec
W
H VfL Wolfsburg
3–1 HT 2–1
02 Dec
D
A 1. FC Heidenheim
0–0 HT 0–0
26 Nov
D
H 1. FC Köln
1–1 HT 1–0
11 Nov
W
A SV Darmstadt 98
2–1 HT 1–1
03 Nov
D
H FSV Mainz 05
2–2 HT 1–0
27 Oct
L
A SC Freiburg
1–2 HT 1–2
21 Oct
D
A RB Leipzig
0–0 HT 0–0
07 Oct
L
H Borussia Mönchengladbach
1–3 HT 0–3
30 Sep
L
A Bayern München
0–7 HT 0–4
23 Sep
D
H Eintracht Frankfurt
1–1 HT 0–0
16 Sep
D
A FC Augsburg
2–2 HT 1–1
02 Sep
FC St. Pauli

FC St. Pauli

L
H Eintracht Frankfurt
0–1 HT 0–1
11 Jan
W
A VfB Stuttgart
1–0 HT 1–0
21 Dec
L
H Werder Bremen
0–2 HT 0–1
14 Dec
L
A Bayer Leverkusen
1–2 HT 0–2
07 Dec
W
H Holstein Kiel
3–1 HT 1–0
29 Nov
L
A Borussia Mönchengladbach
0–2 HT 0–2
24 Nov
L
H Bayern München
0–1 HT 0–1
09 Nov
W
A 1899 Hoffenheim
2–0 HT 1–0
02 Nov
D
H VfL Wolfsburg
0–0 HT 0–0
26 Oct
L
A Borussia Dortmund
1–2 HT 0–1
18 Oct
L
H FSV Mainz 05
0–3 HT 0–2
05 Oct
W
A SC Freiburg
3–0 HT 2–0
28 Sep
D
H RB Leipzig
0–0 HT 0–0
22 Sep
L
A FC Augsburg
1–3 HT 0–0
15 Sep
L
A Union Berlin
0–1 HT 0–1
30 Aug
L
H 1. FC Heidenheim
0–2 HT 0–0
25 Aug
W
A SV Wehen
2–1 HT 0–1
19 May
W
H VfL Osnabrück
3–1 HT 1–0
12 May
L
A Hamburger SV
0–1 HT 0–0
03 May
W
H Hansa Rostock
1–0 HT 0–0
26 Apr
W
A Hannover 96
2–1 HT 1–1
21 Apr
L
H SV Elversberg
3–4 HT 1–0
14 Apr
L
A Karlsruher SC
1–2 HT 1–1
06 Apr
W
H SC Paderborn 07
2–1 HT 1–0
31 Mar
W
A 1. FC Nürnberg
2–0 HT 1–0
16 Mar
W
H Hertha BSC
2–0 HT 2–0
10 Mar
L
A FC Schalke 04
1–3 HT 0–1
01 Mar
W
A Holstein Kiel
4–3 HT 3–0
23 Feb
W
H Eintracht Braunschweig
1–0 HT 1–0
18 Feb
L
A 1. FC Magdeburg
0–1 HT 0–0
10 Feb
W
H SpVgg Greuther Fürth
3–2 HT 2–1
03 Feb
W
A Fortuna Düsseldorf
2–1 HT 2–0
27 Jan
W
H 1. FC Kaiserslautern
2–0 HT 1–0
20 Jan
D
H SV Wehen
1–1 HT 0–0
17 Dec
D
A VfL Osnabrück
1–1 HT 1–0
09 Dec
D
H Hamburger SV
2–2 HT 2–0
01 Dec
W
A Hansa Rostock
3–2 HT 3–1
25 Nov
D
H Hannover 96
0–0 HT 0–0
10 Nov
W
A SV Elversberg
2–0 HT 2–0
03 Nov
W
H Karlsruher SC
2–1 HT 0–1
28 Oct
D
A SC Paderborn 07
2–2 HT 0–1
21 Oct
W
H 1. FC Nürnberg
5–1 HT 1–1
07 Oct
W
A Hertha BSC
2–1 HT 1–0
30 Sep
W
H FC Schalke 04
3–1 HT 1–1
23 Sep
W
H Holstein Kiel
5–1 HT 3–0
17 Sep
D
A Eintracht Braunschweig
1–1 HT 0–0
01 Sep
D
H 1. FC Magdeburg
0–0 HT 0–0
27 Aug
D
A SpVgg Greuther Fürth
0–0 HT 0–0
19 Aug
D
H Fortuna Düsseldorf
0–0 HT 0–0
05 Aug
W
A 1. FC Kaiserslautern
2–1 HT 0–0
29 Jul

❓ Frequently Asked Questions

What form are VfL Bochum and FC St. Pauli in coming into this match?

VfL Bochum have gone 9W 14D 27L in their last 50 games (0.82 PPG), while FC St. Pauli have gone 24W 11D 15L in their last 50 (1.66 PPG).

Which team has the better venue record — VfL Bochum at home or FC St. Pauli away?

FC St. Pauli's away record (1.54 PPG) is the stronger of the two venue-specific splits — VfL Bochum at home: 1.12 PPG; FC St. Pauli away: 1.54 PPG.

Have VfL Bochum or FC St. Pauli been keeping clean sheets recently?

VfL Bochum have kept a clean sheet in 12% of their recent games, FC St. Pauli in 30%.

⚔️ Rivalry Insight

History of the Fixture

On record, these two have faced off 2 times since January 2025 — enough meetings to establish some real patterns. Every recorded meeting has come in Bundesliga. It has been a while since the last meeting — 17 May 2025, some 1 year back — so squads and form on both sides may look very different now.

Last 2 Meetings

VfL Bochum

2

VfL Bochum

0

Draws

FC St. Pauli

0

FC St. Pauli

Recent Meetings

FC St. Pauli
0–2
17 May 25
VfL Bochum
VfL Bochum
1–0
15 Jan 25
FC St. Pauli

❓ Frequently Asked Questions

What is the head-to-head record between VfL Bochum and FC St. Pauli?

From 2 meetings on record, VfL Bochum have won 2, FC St. Pauli have won 0, and 0 have been drawn.

When did VfL Bochum and FC St. Pauli last play each other?

They last met on 17 May 2025, when FC St. Pauli 0-2 VfL Bochum.

Who has won more matches between VfL Bochum and FC St. Pauli?

VfL Bochum have the better head-to-head record, with 2 wins from 2 meetings.

📈 Trading Insight

How These Sides Start

VfL Bochum are typically involved in an early goal — the half-time board shows at least one in 75% of their matches. They've gone in front at half-time 42% of the time, though they've let that lead slip 21% of the time they've held it — worth watching if they're only ahead by one.

FC St. Pauli are typically involved in an early goal — the half-time board shows at least one in 79% of their matches. They've gone in front at half-time 42% of the time.

Goals & Clean Sheets

BTTS sits in mixed territory for this pairing — VfL Bochum 67%, FC St. Pauli 58% — no strong lean either way from the trading data alone.

Over 2.5 has been close to a coin-flip for both sides — 58% (VfL Bochum) and 54% (FC St. Pauli). Stepping up a level, Over 3.5 has also landed reasonably often — 46% and 21% respectively — worth a look for goal-hungry markets.

📈

Current season: same league only. Previous season: all leagues (covers promoted/relegated teams). All = any venue  |  Venue = VfL Bochum home games / FC St. Pauli away games. HT metrics require half-time score data β€” shown as β€” where unavailable.

VfL Bochum VfL Bochum Blended
Metric All
(50 games)
Venue
(24 games)
Half-Time Metrics
1+ Goal Before HT 39/50
(78%)
18/24
(75%)
2+ Goals Before HT 23/50
(46%)
10/24
(41.7%)
0-0 HT → 1+ Goal 2nd Half 9/11
(81.8%)
6/6
(100%)
0-0 HT → 2+ Goals 2nd Half 6/11
(54.5%)
4/6
(66.7%)
Winning at HT 14/50
(28%)
10/24
(41.7%)
Lost Lead (Win HT → No Win FT) 7/50
(14%)
5/24
(20.8%)
Came From Behind (Lose HT → Draw/Win FT) 1/50
(2%)
1/24
(4.2%)
Full-Time Metrics
BTTS 31/50
(62%)
16/24
(66.7%)
Over 2.5 Goals 30/50
(60%)
14/24
(58.3%)
Over 3.5 Goals 22/50
(44%)
11/24
(45.8%)
Clean Sheet 6/50
(12%)
3/24
(12.5%)
Failed to Score 15/50
(30%)
5/24
(20.8%)
FC St. Pauli FC St. Pauli Blended
Metric All
(50 games)
Venue
(24 games)
Half-Time Metrics
1+ Goal Before HT 36/50
(72%)
19/24
(79.2%)
2+ Goals Before HT 16/50
(32%)
9/24
(37.5%)
0-0 HT → 1+ Goal 2nd Half 8/14
(57.1%)
4/5
(80%)
0-0 HT → 2+ Goals 2nd Half 5/14
(35.7%)
2/5
(40%)
Winning at HT 20/50
(40%)
10/24
(41.7%)
Lost Lead (Win HT → No Win FT) 3/50
(6%)
1/24
(4.2%)
Came From Behind (Lose HT → Draw/Win FT) 3/50
(6%)
2/24
(8.3%)
Full-Time Metrics
BTTS 26/50
(52%)
14/24
(58.3%)
Over 2.5 Goals 25/50
(50%)
13/24
(54.2%)
Over 3.5 Goals 13/50
(26%)
5/24
(20.8%)
Clean Sheet 15/50
(30%)
6/24
(25%)
Failed to Score 15/50
(30%)
5/24
(20.8%)

❓ Frequently Asked Questions

Do both teams usually score when VfL Bochum play FC St. Pauli?

Yes — based on recent matches, both teams have scored in 67% of VfL Bochum's games and 58% of FC St. Pauli's, a combined rate that favours BTTS Yes.

Is VfL Bochum vs FC St. Pauli usually a high-scoring fixture?

Recent trends suggest it could be — Over 2.5 goals has landed in 58% of VfL Bochum's matches and 54% of FC St. Pauli's.

Do VfL Bochum and FC St. Pauli tend to score early?

VfL Bochum have had a goal before half-time in 75% of their recent matches, FC St. Pauli in 79% — a useful reference point for first-half goal markets.

📰

Shock result as VfL Bochum defy the odds to beat FC St. Pauli 1-0.

📝 Match Report

How It Unfolded

VfL Bochum beat FC St. Pauli 1-0 at Vonovia Ruhrstadion, Regular Season - 17, in the Bundesliga. The remainder of the report sets that outcome against the pre-match model, the markets and the teams' data profiles.

The Model vs The Result

The Poisson model went into this projecting VfL Bochum 1.09 xG and FC St. Pauli 1.21 xG, a combined 2.30. The scoreboard read 1-0 for 1 actual goal. FC St. Pauli landed 1.2 under their projected return. Those figures were built on strength ratings of VfL Bochum attack 0.73 / defence 1.04 against FC St. Pauli attack 0.81 / defence 0.84, drawn from 50/16 games (CurrentSeason).

On the result, the model split it VfL Bochum 32% | Draw 29% | FC St. Pauli 38%, with FC St. Pauli to win its most likely call at 38%. The actual VfL Bochum win had been the model's second-ranked read at 32%, so the result diverged from the top call without being a shock.

Goals & Markets

The model rated Over 2.5 goals at 40%. The game delivered 1, so it stayed under — in line with the projection. Over 1.5 had been 67% and missed. On both teams to score, the model sat at 47% and the match did not — another call in the model's favour. Historically the two sides average 55% Over 2.5 across their same-competition games (VfL Bochum 60%, FC St. Pauli 50%), a base rate that pointed the other way from today's under. Their combined BTTS history runs at 57%, which did not match the one-sided outcome.

Trading Patterns vs Reality

VfL Bochum's trading profile (50 games, 24 home) set some clear expectations: BTTS lands in 62% of their matches — today it did not.

FC St. Pauli's trading profile (50 games, 24 away) set some clear expectations: BTTS lands in 52% of their matches — today it did not; they keep a clean sheet 30% of the time, and conceded here; they fail to score in 30% of games, a blank that repeated today.

Form vs Result

On form, FC St. Pauli arrived the stronger side — 1.66 PPG against 0.82. Form was overturned, with VfL Bochum winning despite arriving in poorer recent shape. VfL Bochum (home/away splits) conceded 0 against a 1.88 average — tighter than their form line. FC St. Pauli (home/away splits) managed 0 against a 1.42 scoring average — below par going forward.

Verdict

Grading the result against the stored data, 2 of 4 pre-match signals came in: result (miss), Over 2.5 (hit), BTTS (hit), form (miss). Partial vindication: some calls landed, others slipped.

💡 Key Insights

Model Over/Under 2.5 landed as modelled — 40% Over 2.5 probability, 1 goal scored.
Model BTTS matched the model — 47% projected, both teams did not both score.
Trading Trading data bucked — 55% historical Over 2.5 rate, but the game stayed under.

⚠️ This match report is generated algorithmically from the final score, our prediction model, and each team's historical form and trading data. Analysis is for informational purposes only.