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Wolves 2-1 Aston Villa – Result & Analysis

🎯

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

Premier League · Regular Season - 31

Kick-off

Sat 2 Apr 2022

15:00

Venue

Molineux Stadium

Competition

Premier League

England

Status

FT
💬 Comment 📡 Chat 📝 Notes
📋

Poisson model rates Aston Villa at 38%, yet other data sources diverge — this Wolves vs Aston Villa fixture contains genuine analytical tension.

✍️ Match Preview

Fixture Analysis

It is a Premier League clash, Regular Season - 31 as Wolves welcome Aston Villa to Molineux Stadium. Kick-off is set for Saturday 2 April 2022 at 15:00 UTC.

Recent Form

Across all Premier League games this season, Wolves have gone 5W 0D 5L from 10 outings — a 1.50 PPG return. Last five: L L W W L. They are averaging 1.40 goals per game and conceding 1.10 — a modest attacking output that tempers optimism on the Over 2.5 market. 3 clean sheets from 10 outings provides some defensive foundation.

At home at Molineux Stadium, Wolves have gone 4W 2D 4L this season (10 games, 1.40 PPG). At home they are averaging 1.20 goals scored and 0.90 conceded per game. 4 home clean sheets from 10 games (40%) — a solid defensive base on their own ground. At home, both teams have scored in only 30% of games — reinforcing BTTS No as the home-venue-backed angle.

Aston Villa — All Games: 4W 2D 4L from 10 Premier League fixtures this season — 1.40 PPG. Last five: W W W L L. They are scoring at 1.60 per game and conceding 1.00. 4 clean sheets in 10 outings (40%) underlines their defensive solidity. Both teams have scored in just 30% of their games, reflecting a regular tendency to keep or record clean sheets.

On the road, Aston Villa have gone 5W 0D 5L from 10 away fixtures this term (1.50 PPG). Away from home they average 1.20 goals scored and 0.80 conceded per game. 4 clean sheets from 10 away games (40%) shows they are capable of shutting up shop on the road. Away from home, both teams have scored in only 30% of games — a low rate that backs BTTS No when they travel.

The form comparison is too close to call — 1.50 PPG (Wolves) versus 1.40 (Aston Villa). When the figures are this level, no pick can be reliably derived from recent results alone.

On the goals front, neither side scores or concedes freely enough to make BTTS Yes the call. Wolves's 30% rate and Aston Villa's 30% (using home/away splits) both sit well below average — BTTS No is the form-backed angle.

H2H Record

The H2H landscape is flat: 1 previous encounters have yielded 1 wins for Wolves, 0 for Aston Villa and 0 draws. A neutral reading in isolation.

The 1 previous encounters between these sides have been high-scoring affairs — 5.0 goals per contest on average. Historical precedent backs the Over 2.5 goals market. The most recent clash, on 16 Oct 2021, ended 3–2 with Wolves winning.

With the win record balanced, the strongest H2H-derived signal is in the goals market. At 5.0 goals per game historically, Over 2.5 is the cleaner angle to extract from the head-to-head data.

In-Play Data

Wolves trading profile (29 games, 15 at home): BTTS occurs in 33% of their matches (home games); Over 2.5 goals lands in 40% of games (home games); they fail to score in 41% of games.

Aston Villa trading profile (29 games, 15 at away): BTTS occurs in 40% of their matches (away games); Over 2.5 goals lands in 53% of games (away games).

BTTS rates are mixed from the trading data — Wolves 31% versus Aston Villa 48%; no strong lean in either direction. The over/under 2.5 picture is inconclusive from the in-play data (Wolves 31% | Aston Villa 59%).

Poisson Model

The Poisson distribution model projects Wolves 1.07 xG and Aston Villa 1.17 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: Wolves attack 0.947 / defence 1.070 | Aston Villa attack 0.824 / defence 1.032. League average goals — home 1.100 / away 1.326. Data: 30 Wolves games / 29 Aston Villa games used (CurrentSeason).

Result probabilities: Wolves 33% | Draw 29% | Aston Villa 38%. Fair-value odds: Wolves 3.03 | Draw 3.45 | Aston Villa 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 39% | BTTS probability 45% | Total xG 2.24. Under 2.5 has a narrow probability edge at 61% — total xG of 2.24 is below the line but not decisively so. BTTS probability of 45% is moderate — neither team is projected to score with enough certainty to make Yes a clear standalone call.

Our Verdict

Poisson rates Aston Villa as the most likely outcome at 38% — marginal model lean. With a 29% draw probability, Draw No Bet on Aston Villa offers a more defensible entry point than the straight win. The opposing side holds a 33% win probability per the model — this is not a banker and should be staked accordingly.

On the goals line, Poisson's 2.24 combined xG gives a 39% probability to Under 2.5 — reasonable, supported by form averaging 2.0 goals per game.

Poisson assigns a 45% probability to BTTS No based on the attack/defence strength model. Form rates corroborate: Wolves 30% | Aston Villa 30% BTTS from recent games.

The outsider holds a 33% 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

H2H The H2H record is evenly balanced (1W–0D–0W), with no clear historical advantage.
Goals Poisson Over 2.5 probability is only 39% — the model points to an Under 2.5 outcome.

🏟️ Match Context

• Fixture: Wolves vs Aston Villa | Competition: Premier League, Regular Season - 31 | Venue: Molineux Stadium • Kick-off: Saturday 2 Apr 2022, 15:00 UTC • Data inputs: H2H history, form splits, prediction model signals, and market pricing

📊 Statistical Prediction

• Poisson result probabilities: Wolves 33% | Draw 29% | Aston Villa 38% • Poisson goal markets: Over 2.5 39% | BTTS 45% | xG Wolves 1.07 / Aston Villa 1.17 • Poisson strength factors: Wolves attack 0.947 / def 1.070 | Aston Villa attack 0.824 / def 1.032 | league avg home 1.100 / away 1.326 • Poisson stance: Aston Villa (38%) — low confidence — close contest

🧮 Prediction Model

1.07

Wolves xG

Expected Goals

1.17

Aston Villa xG

33%
29%
38%
Wolves Draw Aston Villa

45%

BTTS

66%

Over 1.5

39%

Over 2.5

19%

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 Wolves vs Aston Villa kick off?

Wolves vs Aston Villa kicked off at 15:00 on Saturday 2 April 2022 at Molineux Stadium.

What was the final score in Wolves vs Aston Villa?

Wolves 2 - 1 Aston Villa.

Where is Wolves vs Aston Villa being played?

The match is being played at Molineux Stadium.

What competition is Wolves vs Aston Villa part of?

Wolves vs Aston Villa is a Regular Season - 31 fixture in the Premier League (England).

Who is favourite to win Wolves vs Aston Villa?

Our statistical model gives Wolves a 33% chance of winning, Aston Villa a 38% chance, and a 29% chance of a draw — making Aston Villa the favourite.

Will both teams score in Wolves vs Aston Villa?

Our model estimates a 45% probability that both Wolves and Aston Villa will score (BTTS).

Will Wolves vs Aston Villa have over 2.5 goals?

Our model puts the probability of over 2.5 goals in this match at 39%.

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

Record (1 meetings): Wolves 1W | Draws 0 | Aston Villa 0W.

What form are Wolves and Aston Villa in?

Wolves (all comps): 5W-0D-5L in 10 | 1.50 PPG | GF 1.40 / GA 1.10 | L5 L-L-W-W-L. Aston Villa (all comps): 4W-2D-4L in 10 | 1.40 PPG | GF 1.60 / GA 1.00 | L5 W-W-W-L-L.

🧮 Model Insight

How the Model Works This Match

The model rates Wolves's attack at 0.95x the league average against Aston Villa's defence at 1.03x — combine the two and it projects 1.07 expected goals for the hosts. The same calculation in reverse, Aston Villa's attack versus Wolves's defence, projects 1.17 expected goals for the visitors.

These ratings are built from 30/29 games of current-season data — a full enough sample to trust.

Scoreline Breakdown

Of every possible scoreline, 1-1 carries the highest individual probability at 15.1% — still a long way from a near-certainty, which says something about how open this one is on paper. Close behind: 0-0 (12.3%), 0-1 (10.7%). Those top three scorelines alone account for 38% of the model's total probability mass — a relatively concentrated, predictable distribution for this fixture.

Most Likely Outcome

Aston Villa Win

33%

Wolves

3.01

29%

Draw

3.48

38%

Aston Villa

2.63

Top 3 Most Likely Scorelines

1 – 1

13.3%

Draw

Most likely

0 – 1

12.4%

Away win

1 – 0

11.4%

Home win

Expected Goals & Win Odds

1.07

Wolves xG

Total xG

2.24

1.17

Aston Villa xG

33%
29%
38%
WolvesDrawAston Villa

3.01

33%

Home win

3.48

29%

Draw

2.63

38%

Away win

Goals Markets

66%

Over 1.5

1.52

34%

Under 1.5

2.94

39%

Over 2.5

2.56

61%

Under 2.5

1.64

19%

Over 3.5

5.26

81%

Under 3.5

1.23

8%

Over 4.5

12.50

92%

Under 4.5

1.09

Match Markets

Both Teams to Score

45%

BTTS Yes

2.20

55%

BTTS No

1.83

Clean Sheet

31%

Wolves

3.22

34%

Aston Villa

2.93

Win to Nil

10%

Wolves

9.67

13%

Aston Villa

7.71

Score Probability Matrix (%)

H \ A 0 1 2 3 4 5
0 10.6 12.4 7.2 2.8 0.8 0.2
1 11.4 13.3 7.8 3.0 0.9 0.2
2 6.1 7.2 4.2 1.6 0.5 0.1
3 2.2 2.6 1.5 0.6 0.2
4 0.6 0.7 0.4 0.2
5 0.1 0.1 0.1

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

Model Internals
λ Home (xG) 1.075
λ Away (xG) 1.169
Total xG 2.244
League avg home goals 1.100
League avg away goals 1.326
Wolves attack strength 0.947
Wolves defence strength 1.070
Aston Villa attack strength 0.824
Aston Villa defence strength 1.032
Data phase CurrentSeason
Games used (H/A) 30 / 29

❓ Frequently Asked Questions

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

Our Poisson model rates 1-1 as the single most likely exact scoreline, at 15.1%.

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

The model projects 1.07 expected goals for Wolves and 1.17 for Aston Villa, a combined total of 2.24.

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

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

Form at a Glance

Wolves's recent record stands at 14W 4D 11L from 29 games, a 1.59 PPG return, with L-L-W-W-L in the last five.

Aston Villa, meanwhile, have gone 11W 3D 15L across 29 games — 1.24 PPG, with W-W-W-L-L in their last five.

Form-wise this is close to level: Wolves on 1.59 PPG, Aston Villa on 1.24. Other factors will likely decide this one more than recent results.

Venue Form

At home specifically, Wolves have managed 6W 2D 7L from 15 games — 1.33 PPG in front of their own supporters.

Aston Villa's away record stands at 6W 0D 9L across 15 trips, a 1.20 PPG haul.

Goals in Recent Form

Wolves are averaging 1.07 goals scored and 0.86 conceded per game recently; Aston Villa are on 1.41 scored and 1.38 conceded.

Defensively: Wolves have kept a clean sheet in 38% of their games — worth knowing if you're weighing up clean-sheet or BTTS-No markets.

Last 29 Results — Premier League

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

Wolves

Wolves

Current Season
L L W W L
Aston Villa

Aston Villa

Current Season
W W W L L
29 Played 29
14/4/11 W / D / L 11/3/15
1.59 Points Per Game 1.24
1.07 Avg Goals Scored 1.41
0.86 Avg Goals Conceded 1.38
1.93 Avg Goals / Game 2.79
11 Clean Sheets 9
9 BTTS 14
9 Over 2.5 Games 17
Wolves

Wolves

L
H Leeds
2–3
18 Mar
W
A Everton
1–0
13 Mar
W
H Watford
4–0
10 Mar
L
H Crystal Palace
0–2
05 Mar
L
A West Ham
0–1
27 Feb
L
A Arsenal
1–2
24 Feb
W
H Leicester
2–1
20 Feb
W
A Tottenham
2–0
13 Feb
L
H Arsenal
0–1
10 Feb
W
A Brentford
2–1
22 Jan
W
H Southampton
3–1
15 Jan
W
A Manchester United
1–0
03 Jan
D
H Chelsea
0–0
19 Dec
W
A Brighton
1–0
15 Dec
L
A Manchester City
0–1
11 Dec
L
H Liverpool
0–1
04 Dec
D
H Burnley
0–0
01 Dec
D
A Norwich
0–0
27 Nov
W
H West Ham
1–0
20 Nov
L
A Crystal Palace
0–2
06 Nov
W
H Everton
2–1
01 Nov
D
A Leeds
1–1
23 Oct
W
A Aston Villa
3–2
16 Oct
W
H Newcastle
2–1
02 Oct
W
A Southampton
1–0
26 Sep
L
H Brentford
0–2
18 Sep
W
A Watford
2–0
11 Sep
L
H Manchester United
0–1
29 Aug
L
H Tottenham
0–1
22 Aug
Aston Villa

Aston Villa

L
H Arsenal
0–1
19 Mar
L
A West Ham
1–2
13 Mar
W
A Leeds
3–0
10 Mar
W
H Southampton
4–0
05 Mar
W
A Brighton
2–0
26 Feb
L
H Watford
0–1
19 Feb
L
A Newcastle
0–1
13 Feb
D
H Leeds
3–3
09 Feb
W
A Everton
1–0
22 Jan
D
H Manchester United
2–2
15 Jan
L
A Brentford
1–2
02 Jan
L
H Chelsea
1–3
26 Dec
W
A Norwich
2–0
14 Dec
L
A Liverpool
0–1
11 Dec
W
H Leicester
2–1
05 Dec
L
H Manchester City
1–2
01 Dec
W
A Crystal Palace
2–1
27 Nov
W
H Brighton
2–0
20 Nov
L
A Southampton
0–1
05 Nov
L
H West Ham
1–4
31 Oct
L
A Arsenal
1–3
22 Oct
L
H Wolves
2–3
16 Oct
L
A Tottenham
1–2
03 Oct
W
A Manchester United
1–0
25 Sep
W
H Everton
3–0
18 Sep
L
A Chelsea
0–3
11 Sep
D
H Brentford
1–1
28 Aug
W
H Newcastle
2–0
21 Aug
L
A Watford
2–3
14 Aug

❓ Frequently Asked Questions

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

Wolves have gone 14W 4D 11L in their last 29 games (1.59 PPG), while Aston Villa have gone 11W 3D 15L in their last 29 (1.24 PPG).

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

Wolves's home record (1.33 PPG) is the stronger of the two venue-specific splits — Wolves at home: 1.33 PPG; Aston Villa away: 1.20 PPG.

Have Wolves or Aston Villa been keeping clean sheets recently?

Wolves have kept a clean sheet in 38% of their recent games, Aston Villa in 31%.

⚔️ Rivalry Insight

Fixture History

10 meetings separate these sides on the data we hold, the series stretching back to October 2021. Every recorded meeting has come in Premier League. They last met on 27 February 2026, roughly 5 months ago.

Streaks & Records

Wolves's record when hosting Aston Villa specifically: 4W 1D 0L from 5 games — a narrower, venue-specific slice of the head-to-head picture.

Last 10 Meetings

Wolves

5

Wolves

2

Draws

Aston Villa

3

Aston Villa

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

❓ Frequently Asked Questions

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

From 10 meetings on record, Wolves have won 5, Aston Villa have won 3, and 2 have been drawn.

When did Wolves and Aston Villa last play each other?

They last met on 27 February 2026, when Wolves 2-0 Aston Villa.

Who has won more matches between Wolves and Aston Villa?

Wolves have the better head-to-head record, with 5 wins from 10 meetings.

📈 Trading Insight

Full-Time Trends

BTTS sits in mixed territory for this pairing — Wolves 33%, Aston Villa 40% — no strong lean either way from the trading data alone.

Over 2.5 has been close to a coin-flip for both sides — 40% (Wolves) and 53% (Aston Villa).

On the defensive side: Aston Villa in 33%; Wolves have failed to score in 53% of games; Aston Villa in 27%.

📈

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

Wolves Wolves Current Season
Metric All
(29 games)
Venue
(15 games)
Half-Time Metrics
1+ Goal Before HT β€” β€”
2+ Goals Before HT β€” β€”
0-0 HT → 1+ Goal 2nd Half β€” β€”
0-0 HT → 2+ Goals 2nd Half β€” β€”
Winning at HT β€” β€”
Lost Lead (Win HT → No Win FT) β€” β€”
Came From Behind (Lose HT → Draw/Win FT) β€” β€”
Full-Time Metrics
BTTS 9/29
(31%)
5/15
(33.3%)
Over 2.5 Goals 9/29
(31%)
6/15
(40%)
Over 3.5 Goals 4/29
(13.8%)
3/15
(20%)
Clean Sheet 11/29
(37.9%)
4/15
(26.7%)
Failed to Score 12/29
(41.4%)
8/15
(53.3%)
Aston Villa Aston Villa Current Season
Metric All
(29 games)
Venue
(15 games)
Half-Time Metrics
1+ Goal Before HT β€” β€”
2+ Goals Before HT β€” β€”
0-0 HT → 1+ Goal 2nd Half β€” β€”
0-0 HT → 2+ Goals 2nd Half β€” β€”
Winning at HT β€” β€”
Lost Lead (Win HT → No Win FT) β€” β€”
Came From Behind (Lose HT → Draw/Win FT) β€” β€”
Full-Time Metrics
BTTS 14/29
(48.3%)
6/15
(40%)
Over 2.5 Goals 17/29
(58.6%)
8/15
(53.3%)
Over 3.5 Goals 8/29
(27.6%)
2/15
(13.3%)
Clean Sheet 9/29
(31%)
5/15
(33.3%)
Failed to Score 6/29
(20.7%)
4/15
(26.7%)

❓ Frequently Asked Questions

Do both teams usually score when Wolves play Aston Villa?

Not especially — both teams scoring has occurred in only 33% of Wolves's recent matches and 40% of Aston Villa's, a rate that leans toward BTTS No.

Is Wolves vs Aston Villa usually a high-scoring fixture?

Not particularly — Over 2.5 goals has come in for only 40% of Wolves's recent games and 53% of Aston Villa's, pointing to a tighter contest.

📰

Shock result as Wolves defy the odds to beat Aston Villa 2-1.

📝 Match Report

How It Unfolded

Wolves beat Aston Villa 2-1 at Molineux Stadium, Regular Season - 31, in the Premier League. With the result on the board, the sections below measure it against everything the model and the numbers projected in advance.

The Model vs The Result

The Poisson model went into this projecting Wolves 1.07 xG and Aston Villa 1.17 xG, a combined 2.24. The scoreboard read 2-1 for 3 actual goals. Wolves beat their projection by 0.9 — clinical relative to the chances the model priced in. Those figures were built on strength ratings of Wolves attack 0.95 / defence 1.07 against Aston Villa attack 0.82 / defence 1.03, drawn from 30/29 games (CurrentSeason).

On the result, the model split it Wolves 33% | Draw 29% | Aston Villa 38%, with Aston Villa to win its most likely call at 38%. The actual Wolves win had been the model's second-ranked read at 33%, so the result diverged from the top call without being a shock.

Goals & Markets

The model rated Over 2.5 goals at 39%. The game delivered 3, so it went over — the opposite of the projected direction. Over 1.5 had been 66% and landed. On both teams to score, the model sat at 45% and the match saw both sides score — a miss on BTTS. Historically the two sides average 45% Over 2.5 across their same-competition games (Wolves 31%, Aston Villa 59%), a base rate that pointed the other way from today's over. Their combined BTTS history runs at 40%, which did not match the both-scored outcome.

Trading Patterns vs Reality

Wolves's trading profile (29 games, 15 home) set some clear expectations: BTTS lands in 31% of their matches — today it did; they keep a clean sheet 38% of the time, and conceded here.

Aston Villa's trading profile (29 games, 15 away) set some clear expectations: BTTS lands in 48% of their matches — today it did; they keep a clean sheet 31% of the time, and conceded here.

Form vs Result

The form lines were close — Wolves 1.59 PPG, Aston Villa 1.24 PPG — offering no strong steer, and the Wolves win broke the near-deadlock. Wolves (home/away splits) scored 2 against a 1.07 average — above their attacking norm.

Verdict

Grading the result against the stored data, 0 of 3 pre-match signals came in: result (miss), Over 2.5 (miss), BTTS (miss). The data was on the wrong side of this result more often than not — a reminder that a single match sits well inside the model's variance.

💡 Key Insights

Model Goals market defied the model — 39% Over 2.5 probability, but 3 goals scored.
Model BTTS bucked the model — 45% projected, both teams scored.
Trading Trading data bucked — 45% historical Over 2.5 rate, but the 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.