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VfL Bochum 2-3 Holstein Kiel – Result & Analysis

🎯

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2. Bundesliga · Regular Season - 27

Kick-off

Sun 22 Mar 2026

12:30

Venue

Vonovia Ruhrstadion

Competition

2. Bundesliga

Germany

Status

FT
💬 Comment 📝 Notes
📋

Poisson rates VfL Bochum at 56% — recent form provides partial corroboration, though signals are mixed in this VfL Bochum vs Holstein Kiel encounter.

✍️ Match Preview

Analysis & Preview

Holstein Kiel travel to Vonovia Ruhrstadion to take on VfL Bochum in 2. Bundesliga (matchday 27). The game is scheduled for Sunday 22 March 2026 at 12:30 UK time.

Form Analysis

Looking at their last 10 matches, VfL Bochum stand at 2W 7D 1L — 1.30 PPG. Last five: D D L W D. Offensively they are averaging 1.50 goals per game, with 1.30 conceded. 2 clean sheets from 10 outings (20%). Both teams have scored in 80% of their matches — an extremely high rate that makes BTTS Yes a well-supported standalone angle from their form alone.

VfL Bochum at home: 5W 4D 1L from their last 10 home games — 1.90 PPG on home soil. At home they are averaging 1.80 goals scored and 1.20 conceded per game. 4 home clean sheets from their last 10 home games (40%) — a solid defensive base on their own ground. BTTS has landed in 60% of their home matches — a rate that supports the Yes angle in this fixture. Their home PPG of 1.90 is noticeably stronger than their overall 1.30 — VfL Bochum are significantly better at home than their overall form suggests.

Across their last 10 games, Holstein Kiel have recorded 2W 2D 6L — 0.80 PPG. Last five: L L D L L. Their scoring rate of 1.30 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 (10%). Both teams have scored in 80% of their matches — a high rate that makes Yes a well-evidenced angle from their form.

When travelling, Holstein Kiel have posted 0W 4D 6L from their last 10 away outings — 0.40 PPG. Away from home they average 1.10 goals scored and 2.20 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.

On current form, VfL Bochum have the edge — a 0.50 PPG advantage (1.30 vs 0.80) represents a meaningful gap. That momentum makes them the form-based pick, though if the outright price looks short, Draw No Bet is worth comparing.

The BTTS market is worth targeting here. Both teams have scored in 60% of VfL Bochum's games and 80% of Holstein Kiel's (from VfL Bochum's last 10 home games and Holstein Kiel's last 10 away games) — both sides above the 60% threshold gives BTTS Yes firm statistical grounding.

H2H Record

There is little to separate the sides in our head-to-head data. From 3 H2H matches, VfL Bochum have won 0, Holstein Kiel 0, with 3 draws — a balanced record that offers no clear steer on its own. With only 3 H2H matches to go on, treat this as a light input.

These two sides have produced goals at a healthy rate, averaging 3.3 per game across the 3 H2H matches we hold. That scoring profile supports the Over 2.5 angle. The most recent of those, on 25 Oct 2025, ended VfL Bochum 1–1 Holstein Kiel — a draw.

With the win record balanced, the strongest H2H signal is in the goals market — at 3.3 goals per game, Over 2.5 is the cleaner angle from the head-to-head data.

In-Play Data

VfL Bochum trading profile (last 60 games, 30 of them at home): at least one goal arrives before half-time in 77% of their matches in home games; when goalless at HT, a second-half goal follows 82% of the time; of the 14 games they led at half-time, they failed to win 43%; of the 23 games they trailed at half-time, they recovered to draw or win 30%; BTTS occurs in 50% of their matches (home games); Over 2.5 goals lands in 47% of games (home games).

Holstein Kiel trading profile (last 60 games, 30 of them away): at least one goal arrives before half-time in 93% of their matches in away games; when goalless at HT, a second-half goal follows 100% of the time; two or more arrive in the second half on 62% of those occasions; of the 16 games they led at half-time, they failed to win 38%; BTTS occurs in 80% of their matches (away games); Over 2.5 goals lands in 70% of games (away games); Over 3.5 in 42%.

From a combined perspective, both sides have high BTTS rates — VfL Bochum 55% and Holstein Kiel 70% — which reinforces the BTTS Yes angle from in-play data. The over/under 2.5 picture is inconclusive from the in-play data (VfL Bochum 47% | Holstein Kiel 65%). Note also that Holstein Kiel surrender HT leads in 38% of cases while VfL Bochum recover from half-time deficits to draw or win 30% of the time — a dynamic that could influence in-play positioning.

Poisson Model

The Poisson distribution model projects VfL Bochum 1.96 xG and Holstein Kiel 1.11 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 0.957 / defence 1.027 | Holstein Kiel attack 0.832 / defence 1.292. League average goals — home 1.586 / away 1.295. Holstein Kiel's defence rating of 1.292 (above 1 = concedes more than average) is pushing VfL Bochum's projected output up. Data: built from VfL Bochum's last 26 games and Holstein Kiel's last 26.

Result probabilities: VfL Bochum 56% | Draw 24% | Holstein Kiel 20%. Fair-value odds: VfL Bochum 1.78 | Draw 4.14 | Holstein Kiel 5.05. The model has a clear lean to VfL Bochum (56%) — a 32pp gap over the next-most-likely outcome reflects a meaningful statistical advantage.

Goals markets: Over 2.5 probability 59% | BTTS Yes probability 59% | Total xG 3.07. Over 2.5 holds a meaningful probability edge at 59% — the 3.07 total xG provides moderate support, though the model is not projecting a high-scoring game. BTTS Yes at 59% is only a slight lean — neither team is projected to score with enough certainty to make Yes a clear standalone call.

Our Verdict

Poisson rates VfL Bochum as the most likely outcome at 56% — clear model lean. Recent form corroborates the Poisson lean — partial multi-source support. Draw No Bet is worth pricing alongside the outright: 24% draw probability makes the stalemate a live outcome even at this conviction level.

Poisson projects 3.07 total expected goals, pointing to Over 2.5 at 59% probability — strong conviction, supported by recent form (VfL Bochum's last 10 home games and Holstein Kiel's last 10 away games) averaging 3.1 goals per game and the H2H data averaging 3.3 goals per game across 3 H2H matches.

The Poisson model's BTTS call is Yes at 59%. Form rates corroborate — both teams scored in: VfL Bochum 60% (last 10 home games) | Holstein Kiel 80% (last 10 away games).

🔮 Your Prediction

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💡 Key Insights

H2H The H2H record is evenly balanced (VfL Bochum 0W, 3D, Holstein Kiel 0W from the 3 H2H matches in our data), with no clear advantage.
Goals H2H (3.33 goals/game across 3 H2H matches) and Poisson xG (3.07) both back Over 2.5 goals (59% Poisson probability).
BTTS H2H BTTS 100% and Poisson BTTS Yes 59% — two-way scoring is backed by both the H2H data and the model.
Form VfL Bochum lead on PPG: 1.30 vs 0.80 — stronger form across the last 10 games.
BTTS BTTS Yes is supported by both form (VfL Bochum 6/10 home, Holstein Kiel 8/10 away) and the Poisson model (BTTS Yes 59%).
Form Form and Poisson model both favour VfL Bochum — VfL Bochum at 56% win probability.
Prediction Poisson model strongly favours VfL Bochum at 56% home win probability.

🏟️ Match Context

• Fixture: VfL Bochum vs Holstein Kiel | Competition: 2. Bundesliga, matchday 27 | Venue: Vonovia Ruhrstadion • Kick-off: Sunday 22 March 2026 at 12:30 UK time • Data inputs: head-to-head data, recent form (overall and home/away), the Poisson prediction model and market pricing

📊 Statistical Prediction

• Poisson result probabilities: VfL Bochum 56% | Draw 24% | Holstein Kiel 20% • Poisson goal markets: Over 2.5 59% (Under 41%) | BTTS Yes 59% (No 41%) | xG VfL Bochum 1.96 / Holstein Kiel 1.11 • Poisson strength factors: VfL Bochum attack 0.957 / def 1.027 | Holstein Kiel attack 0.832 / def 1.292 | league avg home 1.586 / away 1.295 • Poisson stance: VfL Bochum (56%) — strong lean

🧮 Prediction Model

1.96

VfL Bochum xG

Expected Goals

1.11

Holstein Kiel xG

56%
24%
20%
VfL Bochum Draw Holstein Kiel

59%

BTTS

82%

Over 1.5

59%

Over 2.5

37%

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.

❓ VfL Bochum vs Holstein Kiel FAQs

What time does VfL Bochum vs Holstein Kiel kick off?

VfL Bochum vs Holstein Kiel kicked off at 12:30 UK time on Sunday 22 March 2026 at Vonovia Ruhrstadion.

What was the final score in VfL Bochum vs Holstein Kiel?

VfL Bochum 2 - 3 Holstein Kiel.

Where is VfL Bochum vs Holstein Kiel being played?

The match is being played at Vonovia Ruhrstadion.

What competition is VfL Bochum vs Holstein Kiel part of?

VfL Bochum vs Holstein Kiel is a 2. Bundesliga fixture (matchday 27) (Germany).

Who is favourite to win VfL Bochum vs Holstein Kiel?

Our statistical model gives VfL Bochum a 56% chance of winning, Holstein Kiel a 20% chance, and a 24% chance of a draw — making VfL Bochum the favourite.

Will both teams score in VfL Bochum vs Holstein Kiel?

Our model estimates a 59% probability that both VfL Bochum and Holstein Kiel will score, so it leans towards BTTS Yes.

Will VfL Bochum vs Holstein Kiel have over 2.5 goals?

Our model puts the probability of over 2.5 goals in this match at 59%, so it leans towards over 2.5 goals.

🧮 Model Insight

How the Model Works This Match

VfL Bochum's attacking strength (0.96x league average) is weighed against Holstein Kiel's defensive record (1.29x) to produce a home expected-goals figure of 1.96. The same calculation in reverse, Holstein Kiel's attack versus VfL Bochum's defence, projects 1.11 expected goals for the visitors.

These ratings are built from VfL Bochum's last 26 games and Holstein Kiel's last 26 — a full enough recent sample to trust.

Most Likely Scorelines

The model's single most probable exact score is 1-1, at 11.4%. Close behind: 2-1 (9.9%), 2-0 (9.0%). Those top three scorelines alone account for 30% of the model's total probability mass — a relatively concentrated, predictable distribution for this fixture.

Most Likely Outcome

VfL Bochum Win

56%

VfL Bochum

1.78

24%

Draw

4.14

20%

Holstein Kiel

5.05

Top 3 Most Likely Scorelines

1 – 1

10.1%

Draw

Most likely

2 – 1

9.9%

Home win

1 – 0

9.1%

Home win

Expected Goals & Win Odds

1.96

VfL Bochum xG

Total xG

3.07

1.11

Holstein Kiel xG

56%
24%
20%
VfL BochumDrawHolstein Kiel

1.78

56%

Home win

4.14

24%

Draw

5.05

20%

Away win

Goals Markets

81%

Over 1.5

1.23

19%

Under 1.5

5.26

59%

Over 2.5

1.69

41%

Under 2.5

2.44

37%

Over 3.5

2.70

63%

Under 3.5

1.59

20%

Over 4.5

5.00

80%

Under 4.5

1.25

Match Markets

Both Teams to Score

59%

BTTS Yes

1.70

41%

BTTS No

2.42

Clean Sheet

33%

VfL Bochum

3.02

14%

Holstein Kiel

7.11

Win to Nil

19%

VfL Bochum

5.39

3%

Holstein Kiel

35.93

Score Probability Matrix (%)

H \ A 0 1 2 3 4 5
0 4.7 5.1 2.8 1.0 0.3 0.1
1 9.1 10.1 5.6 2.1 0.6 0.1
2 9.0 9.9 5.5 2.0 0.6 0.1
3 5.9 6.5 3.6 1.3 0.4 0.1
4 2.9 3.2 1.8 0.6 0.2 –
5 1.1 1.2 0.7 0.3 0.1 –

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

▶ Model Internals
λ Home (xG) 1.962
λ Away (xG) 1.106
Total xG 3.068
League avg home goals 1.586
League avg away goals 1.295
VfL Bochum attack strength 0.957
VfL Bochum defence strength 1.027
Holstein Kiel attack strength 0.832
Holstein Kiel defence strength 1.292
Data phase CurrentSeason
Games used (H/A) 26 / 26

❓ VfL Bochum vs Holstein Kiel Prediction FAQs

What is the most likely scoreline for VfL Bochum vs Holstein Kiel?

Our Poisson model rates 1-1 as the single most likely exact scoreline, at 11.4%.

How many goals are VfL Bochum and Holstein Kiel expected to score?

The model projects 1.96 expected goals for VfL Bochum and 1.11 for Holstein Kiel, a combined total of 3.07.

How confident is the prediction model for VfL Bochum vs Holstein Kiel?

Reasonably confident — the model's leading outcome is rated at 56%, a clear lean rather than a toss-up.

📈 Form Insight

Form at a Glance

Across their last 60 outings, VfL Bochum have picked up 0.93 PPG on a 13W 17D 30L record — D-D-L-W-D across the most recent five.

Holstein Kiel's form line: 12W 14D 34L from 60 games, 0.83 PPG, last five L-L-D-L-L.

Form-wise this is close to level: VfL Bochum on 0.93 PPG, Holstein Kiel on 0.83. Other factors will likely decide this one more than recent results.

Venue Form

On home soil, VfL Bochum have posted 1.17 PPG from their last 30 home games (9W 8D 13L).

On the road, Holstein Kiel have gone 4W 9D 17L from their last 30 away games — 0.70 PPG when travelling.

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

Goals in Recent Form

VfL Bochum are averaging 1.13 goals scored and 1.68 conceded per game recently; Holstein Kiel are on 1.33 scored and 2.00 conceded.

On BTTS specifically: Holstein Kiel in 70%.

Last 60 Results

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

VfL Bochum

VfL Bochum

Blended
D D L W D
Holstein Kiel

Holstein Kiel

Blended
L L D L L
60 Played 60
13/17/30 W / D / L 12/14/34
0.93 Points Per Game 0.83
1.13 Avg Goals Scored 1.33
1.68 Avg Goals Conceded 2.00
2.82 Avg Goals / Game 3.33
13 Clean Sheets 7
33 BTTS 42
28 Over 2.5 Games 39
VfL Bochum

VfL Bochum

D
A Hertha BSC
1–1 HT 0–1
14 Mar
W
H 1. FC Kaiserslautern
3–2 HT 1–1
07 Mar
L
A Fortuna Düsseldorf
1–2 HT 0–1
27 Feb
D
H 1. FC Nürnberg
1–1 HT 0–1
20 Feb
D
H SC Paderborn 07
0–0 HT 0–0
15 Feb
D
A Preußen Münster
1–1 HT 0–1
06 Feb
W
H FC Schalke 04
2–0 HT 2–0
31 Jan
D
A SV Elversberg
1–1 HT 1–0
25 Jan
D
H SV Darmstadt 98
3–3 HT 2–2
18 Jan
D
H Karlsruher SC
2–2 HT 1–0
20 Dec
D
A Hannover 96
0–0 HT 0–0
13 Dec
W
H Arminia Bielefeld
1–0 HT 0–0
06 Dec
W
A SpVgg Greuther Fürth
3–0 HT 3–0
29 Nov
L
H Dynamo Dresden
1–2 HT 0–2
21 Nov
W
A Eintracht Braunschweig
2–0 HT 1–0
09 Nov
W
H 1. FC Magdeburg
2–0 HT 1–0
02 Nov
D
A Holstein Kiel
1–1 HT 0–0
25 Oct
W
H Hertha BSC
3–2 HT 2–0
18 Oct
L
A 1. FC Kaiserslautern
2–3 HT 1–1
04 Oct
L
H Fortuna Düsseldorf
0–1 HT 0–1
27 Sep
L
A 1. FC Nürnberg
1–2 HT 0–0
20 Sep
L
A SC Paderborn 07
0–1 HT 0–0
12 Sep
L
H Preußen Münster
1–2 HT 1–1
30 Aug
L
A FC Schalke 04
1–2 HT 0–0
23 Aug
W
H SV Elversberg
2–0 HT 0–0
10 Aug
L
A SV Darmstadt 98
1–4 HT 1–2
02 Aug
W
A FC St. Pauli
2–0 HT 1–0
17 May
L
H FSV Mainz 05
1–4 HT 0–1
10 May
D
A 1. FC Heidenheim
0–0 HT 0–0
02 May
D
H Union Berlin
1–1 HT 0–1
27 Apr
L
A Werder Bremen
0–1 HT 0–0
19 Apr
L
H FC Augsburg
1–2 HT 0–1
12 Apr
L
H VfB Stuttgart
0–4 HT 0–2
05 Apr
L
A Bayer Leverkusen
1–3 HT 1–1
28 Mar
L
H Eintracht Frankfurt
1–3 HT 0–2
16 Mar
W
A Bayern München
3–2 HT 1–2
08 Mar
L
H 1899 Hoffenheim
0–1 HT 0–0
01 Mar
D
A VfL Wolfsburg
1–1 HT 0–0
22 Feb
W
H Borussia Dortmund
2–0 HT 2–0
15 Feb
D
A Holstein Kiel
2–2 HT 2–1
09 Feb
L
H SC Freiburg
0–1 HT 0–1
01 Feb
L
A Borussia Mönchengladbach
0–3 HT 0–1
25 Jan
D
H RB Leipzig
3–3 HT 0–3
18 Jan
W
H FC St. Pauli
1–0 HT 0–0
15 Jan
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
Holstein Kiel

Holstein Kiel

L
H 1. FC Nürnberg
2–3 HT 2–2
14 Mar
L
A SV Darmstadt 98
0–2 HT 0–0
07 Mar
D
H SV Elversberg
1–1 HT 0–0
28 Feb
L
A Karlsruher SC
1–3 HT 0–1
21 Feb
L
H FC Schalke 04
1–2 HT 0–2
15 Feb
L
A Hannover 96
1–3 HT 0–2
08 Feb
L
H SpVgg Greuther Fürth
1–2 HT 0–0
31 Jan
D
A Arminia Bielefeld
2–2 HT 2–0
23 Jan
W
H SC Paderborn 07
2–0 HT 1–0
18 Jan
W
H Dynamo Dresden
2–1 HT 1–1
20 Dec
D
A 1. FC Magdeburg
3–3 HT 1–2
13 Dec
D
A Eintracht Braunschweig
1–1 HT 1–1
07 Dec
L
H Hertha BSC
0–1 HT 0–0
29 Nov
L
A 1. FC Kaiserslautern
1–4 HT 1–4
23 Nov
W
H Fortuna Düsseldorf
1–0 HT 0–0
09 Nov
L
A Preußen Münster
1–2 HT 1–0
31 Oct
D
H VfL Bochum
1–1 HT 0–0
25 Oct
D
A 1. FC Nürnberg
1–1 HT 0–1
19 Oct
D
H SV Darmstadt 98
1–1 HT 0–0
04 Oct
L
A SV Elversberg
0–1 HT 0–0
27 Sep
W
H Karlsruher SC
3–0 HT 2–0
21 Sep
W
A FC Schalke 04
1–0 HT 1–0
13 Sep
L
H Hannover 96
1–2 HT 1–0
30 Aug
W
A SpVgg Greuther Fürth
2–0 HT 1–0
24 Aug
L
H Arminia Bielefeld
0–2 HT 0–2
10 Aug
L
A SC Paderborn 07
1–2 HT 0–1
02 Aug
L
A Borussia Dortmund
0–3 HT 0–1
17 May
L
H SC Freiburg
1–2 HT 1–1
10 May
W
A FC Augsburg
3–1 HT 2–0
04 May
W
H Borussia Mönchengladbach
4–3 HT 2–0
26 Apr
D
A RB Leipzig
1–1 HT 1–0
19 Apr
L
H FC St. Pauli
1–2 HT 1–1
12 Apr
D
A FSV Mainz 05
1–1 HT 1–0
05 Apr
L
H Werder Bremen
0–3 HT 0–1
29 Mar
L
A 1. FC Heidenheim
1–3 HT 0–1
16 Mar
D
H VfB Stuttgart
2–2 HT 1–1
08 Mar
W
A Union Berlin
1–0 HT 1–0
02 Mar
L
H Bayer Leverkusen
0–2 HT 0–2
22 Feb
L
A Eintracht Frankfurt
1–3 HT 0–2
16 Feb
D
H VfL Bochum
2–2 HT 1–2
09 Feb
L
A Bayern München
3–4 HT 0–2
01 Feb
D
A VfL Wolfsburg
2–2 HT 1–0
24 Jan
L
H 1899 Hoffenheim
1–3 HT 0–2
18 Jan
W
H Borussia Dortmund
4–2 HT 3–0
14 Jan
L
A SC Freiburg
2–3 HT 0–2
11 Jan
W
H FC Augsburg
5–1 HT 4–1
21 Dec
L
A Borussia Mönchengladbach
1–4 HT 1–3
14 Dec
L
H RB Leipzig
0–2 HT 0–1
07 Dec
L
A FC St. Pauli
1–3 HT 0–1
29 Nov
L
H FSV Mainz 05
0–3 HT 0–2
24 Nov
L
A Werder Bremen
1–2 HT 0–1
09 Nov
W
H 1. FC Heidenheim
1–0 HT 1–0
02 Nov
L
A VfB Stuttgart
1–2 HT 0–1
26 Oct
L
H Union Berlin
0–2 HT 0–1
20 Oct
D
A Bayer Leverkusen
2–2 HT 1–2
05 Oct
L
H Eintracht Frankfurt
2–4 HT 1–1
29 Sep
D
A VfL Bochum
2–2 HT 1–2
21 Sep
L
H Bayern München
1–6 HT 0–4
14 Sep
L
H VfL Wolfsburg
0–2 HT 0–2
31 Aug
L
A 1899 Hoffenheim
2–3 HT 0–2
24 Aug

VfL Bochum (Home) vs Holstein Kiel (Away)

Home games only for the home side · Away games only for the away side

VfL Bochum

VfL Bochum

Blended
D W D D W
Holstein Kiel

Holstein Kiel

Blended
D D L L L
30 Played 30
9/8/13 W / D / L 4/9/17
1.17 Points Per Game 0.70
1.23 Avg Goals Scored 1.33
1.60 Avg Goals Conceded 2.10
2.83 Avg Goals / Game 3.43
8 Clean Sheets 3
15 BTTS 24
14 Over 2.5 Games 21
VfL Bochum

VfL Bochum — Home

W
1. FC Kaiserslautern
3–2 HT 1–1
07 Mar
D
1. FC Nürnberg
1–1 HT 0–1
20 Feb
D
SC Paderborn 07
0–0 HT 0–0
15 Feb
W
FC Schalke 04
2–0 HT 2–0
31 Jan
D
SV Darmstadt 98
3–3 HT 2–2
18 Jan
D
Karlsruher SC
2–2 HT 1–0
20 Dec
W
Arminia Bielefeld
1–0 HT 0–0
06 Dec
L
Dynamo Dresden
1–2 HT 0–2
21 Nov
W
1. FC Magdeburg
2–0 HT 1–0
02 Nov
W
Hertha BSC
3–2 HT 2–0
18 Oct
L
Fortuna Düsseldorf
0–1 HT 0–1
27 Sep
L
Preußen Münster
1–2 HT 1–1
30 Aug
W
SV Elversberg
2–0 HT 0–0
10 Aug
L
FSV Mainz 05
1–4 HT 0–1
10 May
D
Union Berlin
1–1 HT 0–1
27 Apr
L
FC Augsburg
1–2 HT 0–1
12 Apr
L
VfB Stuttgart
0–4 HT 0–2
05 Apr
L
Eintracht Frankfurt
1–3 HT 0–2
16 Mar
L
1899 Hoffenheim
0–1 HT 0–0
01 Mar
W
Borussia Dortmund
2–0 HT 2–0
15 Feb
L
SC Freiburg
0–1 HT 0–1
01 Feb
D
RB Leipzig
3–3 HT 0–3
18 Jan
W
FC St. Pauli
1–0 HT 0–0
15 Jan
W
1. FC Heidenheim
2–0 HT 2–0
22 Dec
L
Werder Bremen
0–1 HT 0–0
07 Dec
D
Bayer Leverkusen
1–1 HT 0–1
09 Nov
L
Bayern München
0–5 HT 0–2
27 Oct
L
VfL Wolfsburg
1–3 HT 0–2
05 Oct
D
Holstein Kiel
2–2 HT 2–1
21 Sep
L
Borussia Mönchengladbach
0–2 HT 0–0
31 Aug
Holstein Kiel

Holstein Kiel — Away

L
SV Darmstadt 98
0–2 HT 0–0
07 Mar
L
Karlsruher SC
1–3 HT 0–1
21 Feb
L
Hannover 96
1–3 HT 0–2
08 Feb
D
Arminia Bielefeld
2–2 HT 2–0
23 Jan
D
1. FC Magdeburg
3–3 HT 1–2
13 Dec
D
Eintracht Braunschweig
1–1 HT 1–1
07 Dec
L
1. FC Kaiserslautern
1–4 HT 1–4
23 Nov
L
Preußen Münster
1–2 HT 1–0
31 Oct
D
1. FC Nürnberg
1–1 HT 0–1
19 Oct
L
SV Elversberg
0–1 HT 0–0
27 Sep
W
FC Schalke 04
1–0 HT 1–0
13 Sep
W
SpVgg Greuther Fürth
2–0 HT 1–0
24 Aug
L
SC Paderborn 07
1–2 HT 0–1
02 Aug
L
Borussia Dortmund
0–3 HT 0–1
17 May
W
FC Augsburg
3–1 HT 2–0
04 May
D
RB Leipzig
1–1 HT 1–0
19 Apr
D
FSV Mainz 05
1–1 HT 1–0
05 Apr
L
1. FC Heidenheim
1–3 HT 0–1
16 Mar
W
Union Berlin
1–0 HT 1–0
02 Mar
L
Eintracht Frankfurt
1–3 HT 0–2
16 Feb
L
Bayern München
3–4 HT 0–2
01 Feb
D
VfL Wolfsburg
2–2 HT 1–0
24 Jan
L
SC Freiburg
2–3 HT 0–2
11 Jan
L
Borussia Mönchengladbach
1–4 HT 1–3
14 Dec
L
FC St. Pauli
1–3 HT 0–1
29 Nov
L
Werder Bremen
1–2 HT 0–1
09 Nov
L
VfB Stuttgart
1–2 HT 0–1
26 Oct
D
Bayer Leverkusen
2–2 HT 1–2
05 Oct
D
VfL Bochum
2–2 HT 1–2
21 Sep
L
1899 Hoffenheim
2–3 HT 0–2
24 Aug

❓ VfL Bochum vs Holstein Kiel Form FAQs

What form are VfL Bochum and Holstein Kiel in coming into this match?

VfL Bochum have gone 13W 17D 30L in their last 60 games (0.93 PPG), while Holstein Kiel have gone 12W 14D 34L in their last 60 (0.83 PPG).

Which team has the better venue record — VfL Bochum at home or Holstein Kiel away?

VfL Bochum's home record (1.17 PPG) is the stronger of the two venue-specific splits — VfL Bochum at home: 1.17 PPG; Holstein Kiel away: 0.70 PPG.

⚔️ Rivalry Insight

Fixture History

This section is based on the 4 H2H matches we hold for this pairing, spanning roughly 1 year from September 2024. They cover more than one competition — Bundesliga, 2. Bundesliga. The most recent was on 22 March 2026, roughly 7 months ago.

Streaks & Records

VfL Bochum's record when hosting Holstein Kiel specifically: 0W 1D 1L from 2 games — a narrower, venue-specific slice of the head-to-head picture.

Last 4 Meetings

VfL Bochum

0

VfL Bochum

3

Draws

Holstein Kiel

1

Holstein Kiel

Recent Meetings

VfL Bochum
2–3
22 Mar 26
Holstein Kiel
Holstein Kiel
1–1
25 Oct 25
VfL Bochum
Holstein Kiel
2–2
09 Feb 25
VfL Bochum
VfL Bochum
2–2
21 Sep 24
Holstein Kiel

❓ VfL Bochum vs Holstein Kiel H2H FAQs

What is the head-to-head record between VfL Bochum and Holstein Kiel?

Across the 4 head-to-head matches in our data, VfL Bochum have won 0, Holstein Kiel have won 1, and 3 have been drawn.

When did VfL Bochum and Holstein Kiel last play each other?

The most recent meeting in our data was on 22 March 2026: VfL Bochum 2-3 Holstein Kiel.

Who has won more matches between VfL Bochum and Holstein Kiel?

Holstein Kiel have the better head-to-head record, with 1 wins from the 4 head-to-head matches in our data.

📈 Trading Insight

First-Half Patterns

VfL Bochum are typically involved in an early goal — the half-time board shows at least one in 77% of their matches. They've also shown some fight from behind, salvaging a draw or win after trailing at half-time in 31% of those situations.

Holstein Kiel are typically involved in an early goal — the half-time board shows at least one in 93% of their matches. They've gone in front at half-time 30% of the time, though they've let that lead slip 56% of the time they've held it — worth watching if they're only ahead by one. They've also shown some fight from behind, salvaging a draw or win after trailing at half-time in 22% of those situations.

Full-Time Trends

Both teams scoring has been the norm for this pairing lately — VfL Bochum at 50%, Holstein Kiel at 80%. That combined rate makes BTTS Yes a well-supported trading angle.

Over 2.5 has been close to a coin-flip for both sides — 47% (VfL Bochum) and 70% (Holstein Kiel). Stepping up a level, Over 3.5 has also landed reasonably often — 37% and 53% respectively — worth a look for goal-hungry markets.

On the defensive side: VfL Bochum have failed to score in 27% of games.

📈

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

VfL Bochum VfL Bochum Blended
Metric All
(60 games)
Venue
(30 games)
Half-Time Metrics
1+ Goal Before HT 43/60
(71.7%)
23/30
(76.7%)
2+ Goals Before HT 23/60
(38.3%)
14/30
(46.7%)
0-0 HT → 1+ Goal 2nd Half 14/17
(82.4%)
6/7
(85.7%)
0-0 HT → 2+ Goals 2nd Half 7/17
(41.2%)
2/7
(28.6%)
Winning at HT 14/60
(23.3%)
7/30
(23.3%)
Lost Lead (Win HT → No Win FT) 6/14
(42.9%)
2/7
(28.6%)
Came From Behind (Lose HT → Draw/Win FT) 7/23
(30.4%)
4/13
(30.8%)
Full-Time Metrics
BTTS 33/60
(55%)
15/30
(50%)
Over 2.5 Goals 28/60
(46.7%)
14/30
(46.7%)
Over 3.5 Goals 19/60
(31.7%)
11/30
(36.7%)
Clean Sheet 13/60
(21.7%)
8/30
(26.7%)
Failed to Score 17/60
(28.3%)
8/30
(26.7%)
Holstein Kiel Holstein Kiel Blended
Metric All
(60 games)
Venue
(30 games)
Half-Time Metrics
1+ Goal Before HT 52/60
(86.7%)
28/30
(93.3%)
2+ Goals Before HT 31/60
(51.7%)
13/30
(43.3%)
0-0 HT → 1+ Goal 2nd Half 8/8
(100%)
2/2
(100%)
0-0 HT → 2+ Goals 2nd Half 5/8
(62.5%)
1/2
(50%)
Winning at HT 16/60
(26.7%)
9/30
(30%)
Lost Lead (Win HT → No Win FT) 6/16
(37.5%)
5/9
(55.6%)
Came From Behind (Lose HT → Draw/Win FT) 5/29
(17.2%)
4/18
(22.2%)
Full-Time Metrics
BTTS 42/60
(70%)
24/30
(80%)
Over 2.5 Goals 39/60
(65%)
21/30
(70%)
Over 3.5 Goals 25/60
(41.7%)
16/30
(53.3%)
Clean Sheet 7/60
(11.7%)
3/30
(10%)
Failed to Score 11/60
(18.3%)
3/30
(10%)

❓ VfL Bochum vs Holstein Kiel Trading FAQs

Do both teams usually score in VfL Bochum and Holstein Kiel matches?

Yes — based on recent matches, both teams have scored in 50% of VfL Bochum's games and 80% of Holstein Kiel's, a combined rate that favours BTTS Yes.

Are VfL Bochum and Holstein Kiel matches usually high-scoring?

Recent trends suggest it could be — Over 2.5 goals has landed in 47% of VfL Bochum's matches and 70% of Holstein Kiel's.

Do VfL Bochum and Holstein Kiel matches tend to have early goals?

There has been at least one first-half goal in 77% of VfL Bochum's recent matches and 93% of Holstein Kiel's — a useful reference point for first-half goal markets.

📰

Shock result as Holstein Kiel defy the odds to beat VfL Bochum 2-3.

📝 Match Report

How It Unfolded

Holstein Kiel beat VfL Bochum 2-3 at Vonovia Ruhrstadion, Regular Season - 27, in the 2. Bundesliga. That is the final score; the rest of this report grades it against what the data forecast beforehand.

The Model vs The Result

The Poisson model went into this projecting VfL Bochum 1.96 xG and Holstein Kiel 1.11 xG, a combined 3.07. The scoreboard read 2-3 for 5 actual goals. Holstein Kiel outscored their 1.11 projection by 1.9. Those figures were built on strength ratings of VfL Bochum attack 0.96 / defence 1.03 against Holstein Kiel attack 0.83 / defence 1.29, drawn from 26/26 games (CurrentSeason).

On the result, the model split it VfL Bochum 56% | Draw 24% | Holstein Kiel 20%, with VfL Bochum to win its most likely call at 56%. Instead the game produced a Holstein Kiel win, an outcome the model had rated at just 20% — a clear break from expectation and a genuine upset by the numbers.

Goals & Markets

The model rated Over 2.5 goals at 59%. The game delivered 5, so it went over — the model's lean was correct. Over 1.5 had been 82% and landed. Over 3.5 was 37% and came in. On both teams to score, the model sat at 59% and the match saw both sides score — another call in the model's favour. Historically the two sides average 56% Over 2.5 across their same-competition games (VfL Bochum 47%, Holstein Kiel 65%), a base rate that agreed with today's over. Their combined BTTS history runs at 62%, which matched the both-scored outcome.

Trading Patterns vs Reality

VfL Bochum's trading profile (60 games, 30 home) set some clear expectations: BTTS lands in 55% of their matches — today it did.

Holstein Kiel's trading profile (60 games, 30 away) set some clear expectations: BTTS lands in 70% of their matches — today it did.

Form vs Result

The form lines were close — VfL Bochum 0.93 PPG, Holstein Kiel 0.83 PPG — offering no strong steer, and the Holstein Kiel win broke the near-deadlock. VfL Bochum (home/away splits) shipped 3 against a 1.60 concession average — a leakier day than usual. Holstein Kiel (home/away splits) scored 3 against a 1.33 average — above their attacking norm.

Verdict

Grading the result against the stored data, 2 of 3 pre-match signals came in: result (miss), Over 2.5 (hit), BTTS (hit). A mixed scorecard — the data caught the broad shape of the game but not every market.

💡 Key Insights

Model Over/Under 2.5 landed as modelled — 59% Over 2.5 probability, 5 goals scored.
Model BTTS matched the model — 59% projected, both teams scored.
Trading Trading data backed up — the sides average 56% Over 2.5 historically, and this game went over.

⚠️ 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.

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