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Aston Villa 2-0 Wolves – Result & Analysis

🎯

Fixture360 only lists fixtures from a curated set of leagues, chosen specifically to keep our prediction model accurate.

Premier League · Regular Season - 30

Kick-off

Sat 30 Mar 2024

17:30

Venue

Villa Park

Competition

Premier League

England

Status

FT
💬 Comment 📝 Notes
📋

Poisson model rates Aston Villa at 40%, yet the head-to-head data favours Wolves — this Aston Villa vs Wolves fixture contains genuine analytical tension.

✍️ Match Preview

Analysis & Preview

Wolves travel to Villa Park to take on Aston Villa in Premier League (matchday 30). The game is scheduled for Saturday 30 March 2024 at 17:30 UK time.

Form Analysis

Looking at their last 10 matches, Aston Villa stand at 5W 2D 3L — 1.70 PPG. Last five: W W W L D. They are averaging 2.00 goals per game — a high-scoring output that makes them a genuine attacking threat in any fixture. 2 clean sheets from 10 outings (20%). Both teams have scored in 70% of their games — a high BTTS rate that carries real weight in the goals markets.

Aston Villa's form when playing at home: 6W 1D 3L across their last 10 home games (1.90 PPG). At home they are averaging 1.80 goals scored and 1.60 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.

Wolves — last 10 games: 6W 1D 3L — 1.90 PPG. Last five: L W W L W. They are scoring at 1.90 per game and conceding 1.40. 3 clean sheets from 10 outings (30%).

Wolves away from home: 4W 1D 5L from their last 10 away games — 1.30 PPG on the road. Away from home they average 1.60 goals scored and 1.80 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 1.30 is notably below their overall 1.90 — form away from home has been a clear weakness recently.

The form figures are too closely matched to derive a directional pick: Aston Villa 1.70 PPG, Wolves 1.90 PPG. Look to other data sets to build the analysis.

Both teams have scored in at least 70% of each side's games (from Aston Villa's last 10 home games and Wolves's last 10 away games). At that combined rate, BTTS Yes is as well-evidenced as it gets — the data strongly backs two-way scoring.

H2H Record

Despite the home advantage, Wolves have the better record in our head-to-head data — 3 wins from 5 H2H matches against 0 for Aston Villa.

The 5 H2H matches in our data averaged 2.6 goals per game — a neutral rate that gives no strong lean on the goals market from the H2H alone. The most recent of those, on 8 Oct 2023, ended Aston Villa 1–1 Wolves — a draw.

Wolves have the better head-to-head record despite being the visitors — 3 wins from 5 H2H matches. Home advantage alone is not a reason to dismiss that.

In-Play Data

Aston Villa trading profile (last 66 games, 33 of them at home): at least one goal arrives before half-time in 79% of their matches in home games; when goalless at HT, a second-half goal follows 87% of the time; two or more arrive in the second half on 60% of those occasions; BTTS occurs in 61% of their matches (home games); Over 2.5 goals lands in 67% of games (home games); Over 3.5 in 36%.

Wolves trading profile (last 66 games, 33 of them away): at least one goal arrives before half-time in 70% of their matches in away games; when goalless at HT, a second-half goal follows 85% of the time; of the 19 games they led at half-time, they failed to win 32%; BTTS occurs in 58% of their matches (away games); Over 2.5 goals lands in 61% of games (away games); they fail to score in 30% of games.

BTTS rates are mixed from the trading data — Aston Villa 59% versus Wolves 50%; no strong lean in either direction. The over/under 2.5 picture is inconclusive from the in-play data (Aston Villa 59% | Wolves 52%).

Poisson Model

The Poisson distribution model projects Aston Villa 1.77 xG and Wolves 1.65 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: Aston Villa attack 1.055 / defence 1.108 | Wolves attack 0.951 / defence 0.975. League average goals — home 1.724 / away 1.567. Data: built from Aston Villa's last 67 games and Wolves's last 66.

Result probabilities: Aston Villa 40% | Draw 24% | Wolves 35%. Fair-value odds: Aston Villa 2.47 | Draw 4.14 | Wolves 2.82. This is a low-confidence result — no outcome reaches 45%. The draw at 24% is a primary outcome, not an afterthought.

Goals markets: Over 2.5 probability 66% | BTTS Yes probability 68% | Total xG 3.42. Over 2.5 is the model's clear signal at 66% — a total xG of 3.42 means the expected score alone exceeds the 2.5 threshold, making the Over not just likely but structurally supported by both sides' attack/defence profiles. BTTS Yes at 68% — both xG figures (1.77 / 1.65) are high enough that each side is projected to find the net.

Our Verdict

Poisson rates Aston Villa as the most likely outcome at 40% — marginal model lean. With a 24% draw probability, Draw No Bet on Aston Villa offers a more defensible entry point than the straight win. The opposing side holds a 35% win probability per the model — this is not a banker and should be staked accordingly.

On the goals line, Poisson's 3.42 combined xG gives a 66% probability to Over 2.5 — reasonable conviction, supported by recent form (Aston Villa's last 10 home games and Wolves's last 10 away games) averaging 3.4 goals per game.

Poisson assigns a 68% probability to BTTS Yes based on the attack/defence strength model. Form rates corroborate — both teams scored in: Aston Villa 70% (last 10 home games) | Wolves 70% (last 10 away games).

🔮 Your Prediction

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💡 Key Insights

H2H Wolves have been the dominant side head-to-head, winning 3 of the 5 H2H matches in our data.
H2H The H2H data favours Wolves but the Poisson model leans Aston Villa — current strength ratings diverge from the head-to-head pattern.
BTTS H2H BTTS 80% and Poisson BTTS Yes 68% — two-way scoring is backed by both the H2H data and the model.
BTTS BTTS Yes is supported by both form (Aston Villa 7/10 home, Wolves 7/10 away) and the Poisson model (BTTS Yes 68%).
Goals Poisson Over 2.5 probability is 66% — the model favours goals in this fixture.
BTTS Poisson BTTS Yes probability is 68% — the model favours both teams scoring.

🏟️ Match Context

• Fixture: Aston Villa vs Wolves | Competition: Premier League, matchday 30 | Venue: Villa Park • Kick-off: Saturday 30 March 2024 at 17:30 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: Aston Villa 40% | Draw 24% | Wolves 35% • Poisson goal markets: Over 2.5 66% (Under 34%) | BTTS Yes 68% (No 32%) | xG Aston Villa 1.77 / Wolves 1.65 • Poisson strength factors: Aston Villa attack 1.055 / def 1.108 | Wolves attack 0.951 / def 0.975 | league avg home 1.724 / away 1.567 • Poisson stance: Aston Villa (40%) — low confidence — close contest

🧮 Prediction Model

1.77

Aston Villa xG

Expected Goals

1.65

Wolves xG

40%
24%
35%
Aston Villa Draw Wolves

68%

BTTS

86%

Over 1.5

66%

Over 2.5

45%

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.

❓ Aston Villa vs Wolves FAQs

What time does Aston Villa vs Wolves kick off?

Aston Villa vs Wolves kicked off at 17:30 UK time on Saturday 30 March 2024 at Villa Park.

What was the final score in Aston Villa vs Wolves?

Aston Villa 2 - 0 Wolves.

Where is Aston Villa vs Wolves being played?

The match is being played at Villa Park.

What competition is Aston Villa vs Wolves part of?

Aston Villa vs Wolves is a Premier League fixture (matchday 30) (England).

Who is favourite to win Aston Villa vs Wolves?

Our statistical model gives Aston Villa a 40% chance of winning, Wolves a 35% chance, and a 24% chance of a draw — making Aston Villa the favourite.

Will both teams score in Aston Villa vs Wolves?

Our model estimates a 68% probability that both Aston Villa and Wolves will score, so it leans towards BTTS Yes.

Will Aston Villa vs Wolves have over 2.5 goals?

Our model puts the probability of over 2.5 goals in this match at 66%, so it leans towards over 2.5 goals.

🧮 Model Insight

Model Mechanics

Aston Villa's attacking strength (1.05x league average) is weighed against Wolves's defensive record (0.97x) to produce a home expected-goals figure of 1.77. The same calculation in reverse, Wolves's attack versus Aston Villa's defence, projects 1.65 expected goals for the visitors.

These ratings are built from Aston Villa's last 67 games and Wolves's last 66 — a full enough recent sample to trust.

Most Likely Scorelines

The model's single most probable exact score is 1-1, at 10.8%. Close behind: 2-1 (8.5%), 1-2 (7.9%). Together the top three scorelines make up 27% of the probability — a moderately spread distribution, typical of a competitive match-up.

Most Likely Outcome

Aston Villa Win

40%

Aston Villa

2.47

24%

Draw

4.14

35%

Wolves

2.82

Top 3 Most Likely Scorelines

1 – 1

9.5%

Draw

Most likely

2 – 1

8.5%

Home win

1 – 2

7.9%

Away win

Expected Goals & Win Odds

1.77

Aston Villa xG

Total xG

3.42

1.65

Wolves xG

40%
24%
35%
Aston VillaDrawWolves

2.47

40%

Home win

4.14

24%

Draw

2.82

35%

Away win

Goals Markets

86%

Over 1.5

1.16

14%

Under 1.5

7.14

66%

Over 2.5

1.52

34%

Under 2.5

2.94

45%

Over 3.5

2.22

55%

Under 3.5

1.82

26%

Over 4.5

3.85

74%

Under 4.5

1.35

Match Markets

Both Teams to Score

68%

BTTS Yes

1.47

32%

BTTS No

3.12

Clean Sheet

19%

Aston Villa

5.21

17%

Wolves

5.89

Win to Nil

8%

Aston Villa

12.88

6%

Wolves

16.63

Score Probability Matrix (%)

H \ A 0 1 2 3 4 5
0 3.3 5.4 4.4 2.4 1.0 0.3
1 5.8 9.5 7.9 4.3 1.8 0.6
2 5.1 8.5 7.0 3.8 1.6 0.5
3 3.0 5.0 4.1 2.3 0.9 0.3
4 1.3 2.2 1.8 1.0 0.4 0.1
5 0.5 0.8 0.6 0.4 0.1 –

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

▶ Model Internals
λ Home (xG) 1.773
λ Away (xG) 1.651
Total xG 3.424
League avg home goals 1.724
League avg away goals 1.567
Aston Villa attack strength 1.055
Aston Villa defence strength 1.108
Wolves attack strength 0.951
Wolves defence strength 0.975
Data phase CurrentSeason
Games used (H/A) 67 / 66

❓ Aston Villa vs Wolves Prediction FAQs

What is the most likely scoreline for Aston Villa vs Wolves?

Our Poisson model rates 1-1 as the single most likely exact scoreline, at 10.8%.

How many goals are Aston Villa and Wolves expected to score?

The model projects 1.77 expected goals for Aston Villa and 1.65 for Wolves, a combined total of 3.42.

How confident is the prediction model for Aston Villa vs Wolves?

Not very — the model's leading outcome sits at just 40%, meaning this is rated as a genuinely open contest with no dominant favourite.

📈 Form Insight

Where Both Sides Stand

Aston Villa come into this having played 66 games, going 35W 12D 19L for 1.77 points per game. Their last five reads W-W-W-L-D.

On the other side, Wolves sit at 1.24 PPG from 66 outings (23W 13D 30L), a run that reads L-W-W-L-W across their last five.

Aston Villa carry the stronger recent form of the two, 0.53 PPG clear of Wolves — worth weighing alongside whatever the head-to-head and market data say.

Home Ground vs the Road

Aston Villa's home form reads 22W 3D 8L across their last 33 home games, a 2.09 PPG return.

Away from home, Wolves have taken 0.85 points per game from their last 33 away games (7W 7D 19L).

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

The Goals Picture

Aston Villa are averaging 1.68 goals scored and 1.30 conceded per game recently; Wolves are on 1.11 scored and 1.55 conceded.

Last 66 Results

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

Aston Villa

Aston Villa

Current Season
W W W L D
Wolves

Wolves

Current Season
L W W L W
66 Played 66
35/12/19 W / D / L 23/13/30
1.77 Points Per Game 1.24
1.68 Avg Goals Scored 1.11
1.30 Avg Goals Conceded 1.55
2.98 Avg Goals / Game 2.65
18 Clean Sheets 16
39 BTTS 33
39 Over 2.5 Games 34
Aston Villa

Aston Villa

D
A West Ham
1–1 HT 0–1
17 Mar
L
H Tottenham
0–4 HT 0–0
10 Mar
W
A Luton
3–2 HT 2–0
02 Mar
W
H Nottingham Forest
4–2 HT 3–1
24 Feb
W
A Fulham
2–1 HT 1–0
17 Feb
L
H Manchester United
1–2 HT 0–1
11 Feb
W
A Sheffield Utd
5–0 HT 4–0
03 Feb
L
H Newcastle
1–3 HT 0–2
30 Jan
D
A Everton
0–0 HT 0–0
14 Jan
W
H Burnley
3–2 HT 2–1
30 Dec
L
A Manchester United
2–3 HT 2–0
26 Dec
D
H Sheffield Utd
1–1 HT 0–0
22 Dec
W
A Brentford
2–1 HT 0–1
17 Dec
W
H Arsenal
1–0 HT 1–0
09 Dec
W
H Manchester City
1–0 HT 0–0
06 Dec
D
A Bournemouth
2–2 HT 1–1
03 Dec
W
A Tottenham
2–1 HT 1–1
26 Nov
W
H Fulham
3–1 HT 2–0
12 Nov
L
A Nottingham Forest
0–2 HT 0–1
05 Nov
W
H Luton
3–1 HT 1–0
29 Oct
W
H West Ham
4–1 HT 1–0
22 Oct
D
A Wolves
1–1 HT 0–0
08 Oct
W
H Brighton
6–1 HT 3–0
30 Sep
W
A Chelsea
1–0 HT 0–0
24 Sep
W
H Crystal Palace
3–1 HT 0–0
16 Sep
L
A Liverpool
0–3 HT 0–2
03 Sep
W
A Burnley
3–1 HT 2–0
27 Aug
W
H Everton
4–0 HT 2–0
20 Aug
L
A Newcastle
1–5 HT 1–2
12 Aug
W
H Brighton
2–1 HT 2–1
28 May
D
A Liverpool
1–1 HT 1–0
20 May
W
H Tottenham
2–1 HT 1–0
13 May
L
A Wolves
0–1 HT 0–1
06 May
L
A Manchester United
0–1 HT 0–1
30 Apr
W
H Fulham
1–0 HT 1–0
25 Apr
D
A Brentford
1–1 HT 0–0
22 Apr
W
H Newcastle
3–0 HT 1–0
15 Apr
W
H Nottingham Forest
2–0 HT 0–0
08 Apr
W
A Leicester
2–1 HT 1–1
04 Apr
W
A Chelsea
2–0 HT 1–0
01 Apr
W
H Bournemouth
3–0 HT 1–0
18 Mar
D
A West Ham
1–1 HT 1–1
12 Mar
W
H Crystal Palace
1–0 HT 1–0
04 Mar
W
A Everton
2–0 HT 0–0
25 Feb
L
H Arsenal
2–4 HT 2–1
18 Feb
L
A Manchester City
1–3 HT 0–3
12 Feb
L
H Leicester
2–4 HT 2–3
04 Feb
W
A Southampton
1–0 HT 0–0
21 Jan
W
H Leeds
2–1 HT 1–0
13 Jan
D
H Wolves
1–1 HT 0–1
04 Jan
W
A Tottenham
2–0 HT 0–0
01 Jan
L
H Liverpool
1–3 HT 0–2
26 Dec
W
A Brighton
2–1 HT 1–1
13 Nov
W
H Manchester United
3–1 HT 2–1
06 Nov
L
A Newcastle
0–4 HT 0–1
29 Oct
W
H Brentford
4–0 HT 3–0
23 Oct
L
A Fulham
0–3 HT 0–1
20 Oct
L
H Chelsea
0–2 HT 0–1
16 Oct
D
A Nottingham Forest
1–1 HT 1–1
10 Oct
D
A Leeds
0–0 HT 0–0
02 Oct
W
H Southampton
1–0 HT 1–0
16 Sep
D
H Manchester City
1–1 HT 0–0
03 Sep
L
A Arsenal
1–2 HT 0–1
31 Aug
L
H West Ham
0–1 HT 0–0
28 Aug
L
A Crystal Palace
1–3 HT 1–1
20 Aug
W
H Everton
2–1 HT 1–0
13 Aug
Wolves

Wolves

W
H Fulham
2–1 HT 0–0
09 Mar
L
A Newcastle
0–3 HT 0–2
02 Mar
W
H Sheffield Utd
1–0 HT 1–0
25 Feb
W
A Tottenham
2–1 HT 1–0
17 Feb
L
H Brentford
0–2 HT 0–1
10 Feb
W
A Chelsea
4–2 HT 2–1
04 Feb
L
H Manchester United
3–4 HT 0–2
01 Feb
D
A Brighton
0–0 HT 0–0
22 Jan
W
H Everton
3–0 HT 1–0
30 Dec
W
A Brentford
4–1 HT 3–1
27 Dec
W
H Chelsea
2–1 HT 0–0
24 Dec
L
A West Ham
0–3 HT 0–2
17 Dec
D
H Nottingham Forest
1–1 HT 1–1
09 Dec
W
H Burnley
1–0 HT 1–0
05 Dec
L
A Arsenal
1–2 HT 0–2
02 Dec
L
A Fulham
2–3 HT 1–1
27 Nov
W
H Tottenham
2–1 HT 0–1
11 Nov
L
A Sheffield Utd
1–2 HT 0–0
04 Nov
D
H Newcastle
2–2 HT 1–2
28 Oct
W
A Bournemouth
2–1 HT 0–1
21 Oct
D
H Aston Villa
1–1 HT 0–0
08 Oct
W
H Manchester City
2–1 HT 1–0
30 Sep
D
A Luton
1–1 HT 0–0
23 Sep
L
H Liverpool
1–3 HT 1–0
16 Sep
L
A Crystal Palace
2–3 HT 0–0
03 Sep
W
A Everton
1–0 HT 0–0
26 Aug
L
H Brighton
1–4 HT 0–1
19 Aug
L
A Manchester United
0–1 HT 0–0
14 Aug
L
A Arsenal
0–5 HT 0–3
28 May
D
H Everton
1–1 HT 1–0
20 May
L
A Manchester United
0–2 HT 0–1
13 May
W
H Aston Villa
1–0 HT 1–0
06 May
L
A Brighton
0–6 HT 0–4
29 Apr
W
H Crystal Palace
2–0 HT 1–0
25 Apr
L
A Leicester
1–2 HT 1–1
22 Apr
W
H Brentford
2–0 HT 1–0
15 Apr
W
H Chelsea
1–0 HT 1–0
08 Apr
D
A Nottingham Forest
1–1 HT 0–1
01 Apr
L
H Leeds
2–4 HT 0–1
18 Mar
L
A Newcastle
1–2 HT 0–1
12 Mar
W
H Tottenham
1–0 HT 0–0
04 Mar
L
A Liverpool
0–2 HT 0–0
01 Mar
D
A Fulham
1–1 HT 1–0
24 Feb
L
H Bournemouth
0–1 HT 0–0
18 Feb
W
A Southampton
2–1 HT 0–1
11 Feb
W
H Liverpool
3–0 HT 2–0
04 Feb
L
A Manchester City
0–3 HT 0–1
22 Jan
W
H West Ham
1–0 HT 0–0
14 Jan
D
A Aston Villa
1–1 HT 1–0
04 Jan
L
H Manchester United
0–1 HT 0–0
31 Dec
W
A Everton
2–1 HT 1–1
26 Dec
L
H Arsenal
0–2 HT 0–0
12 Nov
L
H Brighton
2–3 HT 2–2
05 Nov
D
A Brentford
1–1 HT 0–0
29 Oct
L
H Leicester
0–4 HT 0–2
23 Oct
L
A Crystal Palace
1–2 HT 1–0
18 Oct
W
H Nottingham Forest
1–0 HT 0–0
15 Oct
L
A Chelsea
0–3 HT 0–1
08 Oct
L
A West Ham
0–2 HT 0–1
01 Oct
L
H Manchester City
0–3 HT 0–2
17 Sep
W
H Southampton
1–0 HT 1–0
03 Sep
D
A Bournemouth
0–0 HT 0–0
31 Aug
D
H Newcastle
1–1 HT 1–0
28 Aug
L
A Tottenham
0–1 HT 0–0
20 Aug
D
H Fulham
0–0 HT 0–0
13 Aug
L
A Leeds
1–2 HT 1–1
06 Aug

Aston Villa (Home) vs Wolves (Away)

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

Aston Villa

Aston Villa

Current Season
W L L W L
Wolves

Wolves

Current Season
W D W W L
33 Played 33
22/3/8 W / D / L 7/7/19
2.09 Points Per Game 0.85
2.06 Avg Goals Scored 0.97
1.21 Avg Goals Conceded 1.85
3.27 Avg Goals / Game 2.82
10 Clean Sheets 3
20 BTTS 19
22 Over 2.5 Games 20
Aston Villa

Aston Villa — Home

L
Tottenham
0–4 HT 0–0
10 Mar
W
Nottingham Forest
4–2 HT 3–1
24 Feb
L
Manchester United
1–2 HT 0–1
11 Feb
L
Newcastle
1–3 HT 0–2
30 Jan
W
Burnley
3–2 HT 2–1
30 Dec
D
Sheffield Utd
1–1 HT 0–0
22 Dec
W
Arsenal
1–0 HT 1–0
09 Dec
W
Manchester City
1–0 HT 0–0
06 Dec
W
Fulham
3–1 HT 2–0
12 Nov
W
Luton
3–1 HT 1–0
29 Oct
W
West Ham
4–1 HT 1–0
22 Oct
W
Brighton
6–1 HT 3–0
30 Sep
W
Crystal Palace
3–1 HT 0–0
16 Sep
W
Everton
4–0 HT 2–0
20 Aug
W
Brighton
2–1 HT 2–1
28 May
W
Tottenham
2–1 HT 1–0
13 May
W
Fulham
1–0 HT 1–0
25 Apr
W
Newcastle
3–0 HT 1–0
15 Apr
W
Nottingham Forest
2–0 HT 0–0
08 Apr
W
Bournemouth
3–0 HT 1–0
18 Mar
W
Crystal Palace
1–0 HT 1–0
04 Mar
L
Arsenal
2–4 HT 2–1
18 Feb
L
Leicester
2–4 HT 2–3
04 Feb
W
Leeds
2–1 HT 1–0
13 Jan
D
Wolves
1–1 HT 0–1
04 Jan
L
Liverpool
1–3 HT 0–2
26 Dec
W
Manchester United
3–1 HT 2–1
06 Nov
W
Brentford
4–0 HT 3–0
23 Oct
L
Chelsea
0–2 HT 0–1
16 Oct
W
Southampton
1–0 HT 1–0
16 Sep
D
Manchester City
1–1 HT 0–0
03 Sep
L
West Ham
0–1 HT 0–0
28 Aug
W
Everton
2–1 HT 1–0
13 Aug
Wolves

Wolves — Away

L
Newcastle
0–3 HT 0–2
02 Mar
W
Tottenham
2–1 HT 1–0
17 Feb
W
Chelsea
4–2 HT 2–1
04 Feb
D
Brighton
0–0 HT 0–0
22 Jan
W
Brentford
4–1 HT 3–1
27 Dec
L
West Ham
0–3 HT 0–2
17 Dec
L
Arsenal
1–2 HT 0–2
02 Dec
L
Fulham
2–3 HT 1–1
27 Nov
L
Sheffield Utd
1–2 HT 0–0
04 Nov
W
Bournemouth
2–1 HT 0–1
21 Oct
D
Luton
1–1 HT 0–0
23 Sep
L
Crystal Palace
2–3 HT 0–0
03 Sep
W
Everton
1–0 HT 0–0
26 Aug
L
Manchester United
0–1 HT 0–0
14 Aug
L
Arsenal
0–5 HT 0–3
28 May
L
Manchester United
0–2 HT 0–1
13 May
L
Brighton
0–6 HT 0–4
29 Apr
L
Leicester
1–2 HT 1–1
22 Apr
D
Nottingham Forest
1–1 HT 0–1
01 Apr
L
Newcastle
1–2 HT 0–1
12 Mar
L
Liverpool
0–2 HT 0–0
01 Mar
D
Fulham
1–1 HT 1–0
24 Feb
W
Southampton
2–1 HT 0–1
11 Feb
L
Manchester City
0–3 HT 0–1
22 Jan
D
Aston Villa
1–1 HT 1–0
04 Jan
W
Everton
2–1 HT 1–1
26 Dec
D
Brentford
1–1 HT 0–0
29 Oct
L
Crystal Palace
1–2 HT 1–0
18 Oct
L
Chelsea
0–3 HT 0–1
08 Oct
L
West Ham
0–2 HT 0–1
01 Oct
D
Bournemouth
0–0 HT 0–0
31 Aug
L
Tottenham
0–1 HT 0–0
20 Aug
L
Leeds
1–2 HT 1–1
06 Aug

❓ Aston Villa vs Wolves Form FAQs

What form are Aston Villa and Wolves in coming into this match?

Aston Villa have gone 35W 12D 19L in their last 66 games (1.77 PPG), while Wolves have gone 23W 13D 30L in their last 66 (1.24 PPG).

Which team has the better venue record — Aston Villa at home or Wolves away?

Aston Villa's home record (2.09 PPG) is the stronger of the two venue-specific splits — Aston Villa at home: 2.09 PPG; Wolves away: 0.85 PPG.

⚔️ Rivalry Insight

A Look Back

The head-to-head numbers here are drawn from the 10 H2H matches in our data, going back to October 2021. All of them came in Premier League. The most recent was on 27 February 2026, roughly 8 months ago.

Digging Into the Numbers

Aston Villa's record when hosting Wolves specifically: 3W 1D 1L from 5 games — a narrower, venue-specific slice of the head-to-head picture.

Last 10 Meetings

Aston Villa

3

Aston Villa

2

Draws

Wolves

5

Wolves

Recent Meetings

Wolves
2–0
27 Feb 26
Aston Villa
Aston Villa
1–0
30 Nov 25
Wolves
Wolves
2–0
01 Feb 25
Aston Villa
Aston Villa
3–1
21 Sep 24
Wolves
Aston Villa
2–0
30 Mar 24
Wolves
Wolves
1–1
08 Oct 23
Aston Villa
Wolves
1–0
06 May 23
Aston Villa
Aston Villa
1–1
04 Jan 23
Wolves
Wolves
2–1
02 Apr 22
Aston Villa
Aston Villa
2–3
16 Oct 21
Wolves

❓ Aston Villa vs Wolves H2H FAQs

What is the head-to-head record between Aston Villa and Wolves?

Across the 10 head-to-head matches in our data, Aston Villa have won 3, Wolves have won 5, and 2 have been drawn.

When did Aston Villa and Wolves last play each other?

The most recent meeting in our data was on 27 February 2026: Wolves 2-0 Aston Villa.

Who has won more matches between Aston Villa and Wolves?

Wolves have the better head-to-head record, with 5 wins from the 10 head-to-head matches in our data.

📈 Trading Insight

Half-Time Trends

Aston Villa 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 61% of the time. They've also shown some fight from behind, salvaging a draw or win after trailing at half-time in 17% of those situations.

Wolves are typically involved in an early goal — the half-time board shows at least one in 70% of their matches. They've also shown some fight from behind, salvaging a draw or win after trailing at half-time in 23% of those situations.

The Numbers That Matter

BTTS sits in mixed territory for this pairing — Aston Villa 61%, Wolves 58% — no strong lean either way from the trading data alone.

Goals have flowed in these teams' recent matches — Over 2.5 has landed at 67% for Aston Villa and 61% for Wolves. Stepping up a level, Over 3.5 has also landed reasonably often — 46% and 18% respectively — worth a look for goal-hungry markets.

On the defensive side: Aston Villa keep a clean sheet in 30% of their matches; Wolves in 39%.

📈

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

Aston Villa Aston Villa Current Season
Metric All
(66 games)
Venue
(33 games)
Half-Time Metrics
1+ Goal Before HT 51/66
(77.3%)
26/33
(78.8%)
2+ Goals Before HT 26/66
(39.4%)
12/33
(36.4%)
0-0 HT → 1+ Goal 2nd Half 13/15
(86.7%)
7/7
(100%)
0-0 HT → 2+ Goals 2nd Half 9/15
(60%)
5/7
(71.4%)
Winning at HT 27/66
(40.9%)
20/33
(60.6%)
Lost Lead (Win HT → No Win FT) 3/27
(11.1%)
1/20
(5%)
Came From Behind (Lose HT → Draw/Win FT) 3/17
(17.6%)
1/6
(16.7%)
Full-Time Metrics
BTTS 39/66
(59.1%)
20/33
(60.6%)
Over 2.5 Goals 39/66
(59.1%)
22/33
(66.7%)
Over 3.5 Goals 24/66
(36.4%)
15/33
(45.5%)
Clean Sheet 18/66
(27.3%)
10/33
(30.3%)
Failed to Score 11/66
(16.7%)
3/33
(9.1%)
Wolves Wolves Current Season
Metric All
(66 games)
Venue
(33 games)
Half-Time Metrics
1+ Goal Before HT 46/66
(69.7%)
23/33
(69.7%)
2+ Goals Before HT 18/66
(27.3%)
11/33
(33.3%)
0-0 HT → 1+ Goal 2nd Half 17/20
(85%)
8/10
(80%)
0-0 HT → 2+ Goals 2nd Half 9/20
(45%)
5/10
(50%)
Winning at HT 19/66
(28.8%)
6/33
(18.2%)
Lost Lead (Win HT → No Win FT) 6/19
(31.6%)
3/6
(50%)
Came From Behind (Lose HT → Draw/Win FT) 5/21
(23.8%)
3/13
(23.1%)
Full-Time Metrics
BTTS 33/66
(50%)
19/33
(57.6%)
Over 2.5 Goals 34/66
(51.5%)
20/33
(60.6%)
Over 3.5 Goals 13/66
(19.7%)
6/33
(18.2%)
Clean Sheet 16/66
(24.2%)
3/33
(9.1%)
Failed to Score 20/66
(30.3%)
13/33
(39.4%)

❓ Aston Villa vs Wolves Trading FAQs

Do both teams usually score in Aston Villa and Wolves matches?

Yes — based on recent matches, both teams have scored in 61% of Aston Villa's games and 58% of Wolves's, a combined rate that favours BTTS Yes.

Are Aston Villa and Wolves matches usually high-scoring?

Recent trends suggest it could be — Over 2.5 goals has landed in 67% of Aston Villa's matches and 61% of Wolves's.

Do Aston Villa and Wolves matches tend to have early goals?

There has been at least one first-half goal in 79% of Aston Villa's recent matches and 70% of Wolves's — a useful reference point for first-half goal markets.

📰

Aston Villa cruise to a comfortable 2-0 victory over Wolves.

📝 Match Report

How It Unfolded

Aston Villa beat Wolves 2-0 at Villa Park, Regular Season - 30, in the Premier League. 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 Aston Villa 1.77 xG and Wolves 1.65 xG, a combined 3.42. The scoreboard read 2-0 for 2 actual goals. Wolves landed 1.7 under their projected return. Those figures were built on strength ratings of Aston Villa attack 1.05 / defence 1.11 against Wolves attack 0.95 / defence 0.97, drawn from 67/66 games (CurrentSeason).

On the result, the model split it Aston Villa 40% | Draw 24% | Wolves 35%, with Aston Villa to win its most likely call at 40%. The scoreboard confirmed the model's leading pick.

Goals & Markets

The model rated Over 2.5 goals at 66%. The game delivered 2, so it stayed under — a miss for the goals model. Over 1.5 had been 86% and landed. Over 3.5 was 45% and did not. On both teams to score, the model sat at 68% and the match did not — a miss on BTTS. Historically the two sides average 55% Over 2.5 across their same-competition games (Aston Villa 59%, Wolves 52%), a base rate that pointed the other way from today's under. Their combined BTTS history runs at 55%, which did not match the one-sided outcome.

Trading Patterns vs Reality

Aston Villa's trading profile (66 games, 33 home) set some clear expectations: BTTS lands in 59% of their matches — today it did not.

Wolves's trading profile (66 games, 33 away) set some clear expectations: BTTS lands in 50% of their matches — today it did not; they fail to score in 30% of games, a blank that repeated today.

Form vs Result

On form, Aston Villa arrived the stronger side — 1.77 PPG against 1.24. The form guide was vindicated by the result. Aston Villa (home/away splits) conceded 0 against a 1.21 average — tighter than their form line. Wolves (home/away splits) managed 0 against a 0.97 scoring average — below par going forward.

Verdict

Grading the result against the stored data, 2 of 4 pre-match signals came in: result (hit), Over 2.5 (miss), BTTS (miss), form (hit). A mixed scorecard — the data caught the broad shape of the game but not every market.

💡 Key Insights

Model Goals market defied the model — 66% Over 2.5 probability, but 2 goals scored.
Model BTTS bucked the model — 68% projected, one side was shut out.
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.

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