Sign in Register

Aston Villa 1-4 Chelsea – Result & Analysis

🎯

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

Premier League · Regular Season - 29

Kick-off

Wed 4 Mar 2026

19:30

Venue

Villa Park

Competition

Premier League

England

Status

FT
💬 Comment 📝 Notes
📋

Poisson model rates Aston Villa at 36%, yet other data sources diverge — this Aston Villa vs Chelsea fixture contains genuine analytical tension.

✍️ Match Preview

Match Analysis

Aston Villa host Chelsea at Villa Park in Premier League, Regular Season - 29. Kick-off is scheduled for Wednesday 4 March 2026 at 19:30 UTC.

Form Guide

Aston Villa — All Games: 3W 3D 4L from 10 Premier League outings this season, averaging 1.20 points per game. Last five: L D W D L. They are averaging 0.90 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.

Aston Villa's form when playing at home: 7W 1D 2L across 10 games at Villa Park this term (2.20 PPG). At home they are averaging 1.50 goals scored and 0.60 conceded per game. 4 home clean sheets from 10 games (40%) — a solid defensive base on their own ground. Their home PPG of 2.20 is noticeably stronger than their overall 1.20 — Aston Villa are significantly better at Villa Park than their overall form suggests.

Looking at all fixtures this season, Chelsea stand at 4W 4D 2L from 10 Premier League matches — 1.60 PPG. Last five: W W D D L. They are scoring at 1.90 per game and conceding 1.40. 1 clean sheet from 10 outings suggests some defensive organisation. Both teams have scored in 90% of their matches this season — one of the stronger BTTS rates in the division, making Yes a well-evidenced play.

Chelsea's away record: 4W 3D 3L from 10 road trips in Premier League this season (1.50 PPG). Away from home they average 1.50 goals scored and 1.20 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.

The form comparison is too close to call — 1.20 PPG (Aston Villa) versus 1.60 (Chelsea). When the figures are this level, no pick can be reliably derived from recent results alone.

Head to Head

The rivalry is an even one: 4 wins apiece for Aston Villa, 4 for Chelsea and 1 shared spoils from 9 past contests. Neither side holds a meaningful historical edge.

The 9 previous meetings have averaged 2.8 goals per game — a neutral rate that provides no strong lean on the goals market from the H2H alone. The most recent clash, on 27 Dec 2025, ended 2–1 with Aston Villa winning.

The head-to-head offers no strong directional steer in either the result or goals markets. Form, the predictive model and current market pricing should carry more weight than the historical record for this fixture.

In-Play Data

Aston Villa trading profile (66 games, 33 at home): they score before half-time in 71% of fixtures in home games; when goalless at HT, a second-half goal follows 67% of the time; BTTS occurs in 61% of their matches (home games); Over 2.5 goals lands in 54% of games (home games).

Chelsea trading profile (66 games, 33 at away): they score before half-time in 79% of fixtures in away games; when goalless at HT, a second-half goal follows 67% of the time; two or more arrive in the second half on 67% of those occasions; they lead at the break 46% of the time; BTTS occurs in 61% of their matches (away games); Over 2.5 goals lands in 61% of games (away games).

BTTS rates are mixed from the trading data — Aston Villa 56% versus Chelsea 62%; no strong lean in either direction. The over/under 2.5 picture is inconclusive from the in-play data (Aston Villa 56% | Chelsea 59%).

Poisson Model

The Poisson distribution model projects Aston Villa 1.24 xG and Chelsea 1.13 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 0.949 / defence 0.741 | Chelsea attack 1.192 / defence 0.910. League average goals — home 1.434 / away 1.278. Aston Villa's defence rating of 0.741 is below average — the home backline is amplifying the visitor's projected output. Data: 66 Aston Villa games / 66 Chelsea games used (CurrentSeason).

Result probabilities: Aston Villa 36% | Draw 33% | Chelsea 31%. Fair-value odds: Aston Villa 2.78 | Draw 3.03 | Chelsea 3.23. This is a low-confidence result — no outcome exceeds 45%. The draw at 33% is a primary outcome, not an afterthought.

Goals markets: Over 2.5 probability 42% | BTTS probability 50% | Total xG 2.37. Under 2.5 has a narrow probability edge at 58% — total xG of 2.37 is below the line but not decisively so. BTTS probability of 50% is moderate — neither team is projected to score with enough certainty to make Yes a clear standalone call.

Analysis Verdict

On the Poisson output, Aston Villa are the pick at 36% — marginal model lean. With a 33% draw probability, Draw No Bet on Aston Villa offers a more defensible entry point than the straight win. The opposing side holds a 31% win probability per the model — this is not a banker and should be staked accordingly.

The Poisson model projects 2.37 xG in total — Under 2.5 at 42% — Poisson-only — limited corroboration confidence — though H2H averaging only 2.8 goals per meeting points in the other direction.

On the BTTS market, Poisson puts 50% on Yes. Form rates corroborate: Aston Villa 40% | Chelsea 70% BTTS from recent games.

The outsider holds a 31% win probability per the model — this is not a banker and should not be treated as one. Proportionate stakes are appropriate given the genuine contest the data projects.

🔮 Your Prediction

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

💡 Key Insights

H2H The H2H record is evenly balanced (4W–1D–4W), with no clear historical advantage.
Form Aston Villa Poisson xG (1.24) is below their recent form scoring rate (1.50) — opposition defensive quality is suppressing the model's expectation.
Form Chelsea Poisson xG (1.13) is below their form scoring rate (1.50) — home defensive strength is discounting away goal expectation.
Prediction Poisson model shows elevated draw probability at 33% — tight contest expected.

🏟️ Match Context

• Fixture: Aston Villa vs Chelsea | Competition: Premier League, Regular Season - 29 | Venue: Villa Park • Kick-off: Wednesday 4 Mar 2026, 19:30 UTC • Data inputs: H2H history, form splits, prediction model signals, and market pricing

📊 Statistical Prediction

• Poisson result probabilities: Aston Villa 36% | Draw 33% | Chelsea 31% • Poisson goal markets: Over 2.5 42% | BTTS 50% | xG Aston Villa 1.24 / Chelsea 1.13 • Poisson strength factors: Aston Villa attack 0.949 / def 0.741 | Chelsea attack 1.192 / def 0.910 | league avg home 1.434 / away 1.278 • Poisson stance: Aston Villa (36%) — low confidence — close contest

🧮 Prediction Model

1.24

Aston Villa xG

Expected Goals

1.13

Chelsea xG

36%
33%
31%
Aston Villa Draw Chelsea

50%

BTTS

71%

Over 1.5

42%

Over 2.5

21%

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 Aston Villa vs Chelsea kick off?

Aston Villa vs Chelsea kicked off at 19:30 on Wednesday 4 March 2026 at Villa Park.

What was the final score in Aston Villa vs Chelsea?

Aston Villa 1 - 4 Chelsea.

Where is Aston Villa vs Chelsea being played?

The match is being played at Villa Park.

What competition is Aston Villa vs Chelsea part of?

Aston Villa vs Chelsea is a Regular Season - 29 fixture in the Premier League (England).

Who is favourite to win Aston Villa vs Chelsea?

Our statistical model gives Aston Villa a 36% chance of winning, Chelsea a 31% chance, and a 33% chance of a draw — making Aston Villa the favourite.

Will both teams score in Aston Villa vs Chelsea?

Our model estimates a 50% probability that both Aston Villa and Chelsea will score (BTTS).

Will Aston Villa vs Chelsea have over 2.5 goals?

Our model puts the probability of over 2.5 goals in this match at 42%.

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

Record (9 meetings): Aston Villa 4W | Draws 1 | Chelsea 4W.

What form are Aston Villa and Chelsea in?

Aston Villa (all comps): 3W-3D-4L in 10 | 1.20 PPG | GF 0.90 / GA 1.10 | L5 L-D-W-D-L. Chelsea (all comps): 4W-4D-2L in 10 | 1.60 PPG | GF 1.90 / GA 1.40 | L5 W-W-D-D-L.

🧮 Model Insight

How the Model Works This Match

Working from Aston Villa's attack rating (0.95) and Chelsea's defence rating (0.91), the model arrives at 1.24 expected goals for the home side. The same calculation in reverse, Chelsea's attack versus Aston Villa's defence, projects 1.13 expected goals for the visitors.

These ratings are built from 66/66 games of current-season data — a full enough sample to trust.

The Exact-Score Picture

Run the expected-goals figures through the full scoreline distribution and 1-1 emerges as the single most likely result, at 14.8%. Close behind: 0-0 (11.1%), 1-0 (9.9%). Those top three scorelines alone account for 36% of the model's total probability mass — a relatively concentrated, predictable distribution for this fixture.

Most Likely Outcome

Aston Villa Win

36%

Aston Villa

2.75

33%

Draw

3.06

31%

Chelsea

3.23

Top 3 Most Likely Scorelines

1 – 1

13.1%

Draw

Most likely

1 – 0

11.6%

Home win

0 – 1

10.6%

Away win

Expected Goals & Win Odds

1.24

Aston Villa xG

Total xG

2.37

1.13

Chelsea xG

36%
33%
31%
Aston VillaDrawChelsea

2.75

36%

Home win

3.06

33%

Draw

3.23

31%

Away win

Goals Markets

68%

Over 1.5

1.47

32%

Under 1.5

3.12

42%

Over 2.5

2.38

58%

Under 2.5

1.72

21%

Over 3.5

4.76

79%

Under 3.5

1.27

9%

Over 4.5

11.11

91%

Under 4.5

1.10

Match Markets

Both Teams to Score

50%

BTTS Yes

1.98

50%

BTTS No

2.02

Clean Sheet

32%

Aston Villa

3.09

29%

Chelsea

3.45

Win to Nil

12%

Aston Villa

8.49

9%

Chelsea

11.15

Score Probability Matrix (%)

H \ A 0 1 2 3 4 5
0 9.4 10.6 6.0 2.2 0.6 0.1
1 11.6 13.1 7.4 2.8 0.8 0.2
2 7.2 8.1 4.6 1.7 0.5 0.1
3 3.0 3.4 1.9 0.7 0.2
4 0.9 1.0 0.6 0.2 0.1
5 0.2 0.3 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) 1.239
λ Away (xG) 1.128
Total xG 2.367
League avg home goals 1.434
League avg away goals 1.278
Aston Villa attack strength 0.949
Aston Villa defence strength 0.741
Chelsea attack strength 1.192
Chelsea defence strength 0.910
Data phase CurrentSeason
Games used (H/A) 66 / 66

❓ Frequently Asked Questions

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

Our Poisson model rates 1-1 as the single most likely exact scoreline, at 14.8%.

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

The model projects 1.24 expected goals for Aston Villa and 1.13 for Chelsea, a combined total of 2.37.

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

Not very — the model's leading outcome sits at just 36%, meaning this is rated as a genuinely open contest with no dominant favourite.

📈 Form Insight

Form at a Glance

Aston Villa come into this having played 66 games, going 34W 15D 17L for 1.77 points per game. Their last five reads L-D-W-D-L.

On the other side, Chelsea sit at 1.73 PPG from 66 outings (32W 18D 16L), a run that reads W-W-D-D-L across their last five.

Form-wise this is close to level: Aston Villa on 1.77 PPG, Chelsea on 1.73. Other factors will likely decide this one more than recent results.

Venue Form

Aston Villa's home form reads 20W 9D 4L across 33 games on their own ground, a 2.09 PPG return.

Away from home, Chelsea have taken 1.52 points per game from 33 outings (14W 8D 11L).

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.

Goals in Recent Form

Aston Villa are averaging 1.45 goals scored and 1.23 conceded per game recently; Chelsea are on 1.71 scored and 1.15 conceded.

On BTTS specifically: Chelsea in 62%.

Last 66 Results — Premier League

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

Aston Villa

Aston Villa

Current Season
L D W D L
Chelsea

Chelsea

Current Season
W W D D L
66 Played 66
34/15/17 W / D / L 32/18/16
1.77 Points Per Game 1.73
1.45 Avg Goals Scored 1.71
1.23 Avg Goals Conceded 1.15
2.68 Avg Goals / Game 2.86
17 Clean Sheets 20
37 BTTS 41
37 Over 2.5 Games 39
Aston Villa

Aston Villa

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

Chelsea

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

❓ Frequently Asked Questions

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

Aston Villa have gone 34W 15D 17L in their last 66 games (1.77 PPG), while Chelsea have gone 32W 18D 16L in their last 66 (1.73 PPG).

Which team has the better venue record — Aston Villa at home or Chelsea 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; Chelsea away: 1.52 PPG.

Have Aston Villa or Chelsea been keeping clean sheets recently?

Aston Villa have kept a clean sheet in 26% of their recent games, Chelsea in 30%.

⚔️ Rivalry Insight

Fixture History

10 meetings separate these sides on the data we hold, the series stretching back to September 2021. Every recorded meeting has come in Premier League. They last met on 4 March 2026, roughly 6 months ago.

Streaks & Records

The biggest gap between the sides came on 11 Sep 2021, when Chelsea won 3-0 — the largest margin of victory on record between these two.

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

Last 10 Meetings

Aston Villa

4

Aston Villa

1

Draws

Chelsea

5

Chelsea

Recent Meetings

Aston Villa
1–4
04 Mar 26
Chelsea
Chelsea
1–2
27 Dec 25
Aston Villa
Aston Villa
2–1
22 Feb 25
Chelsea
Chelsea
3–0
01 Dec 24
Aston Villa
Aston Villa
2–2
27 Apr 24
Chelsea
Chelsea
0–1
24 Sep 23
Aston Villa
Chelsea
0–2
01 Apr 23
Aston Villa
Aston Villa
0–2
16 Oct 22
Chelsea
Aston Villa
1–3
26 Dec 21
Chelsea
Chelsea
3–0
11 Sep 21
Aston Villa

❓ Frequently Asked Questions

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

From 10 meetings on record, Aston Villa have won 4, Chelsea have won 5, and 1 have been drawn.

When did Aston Villa and Chelsea last play each other?

They last met on 4 March 2026, when Aston Villa 1-4 Chelsea.

Who has won more matches between Aston Villa and Chelsea?

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

📈 Trading Insight

First-Half Patterns

Aston Villa are typically involved in an early goal — the half-time board shows at least one in 71% of their matches. They've gone in front at half-time 36% of the time.

Chelsea 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 36% of the time. They've also shown some fight from behind, salvaging a draw or win after trailing at half-time in 21% of those situations.

Full-Time Trends

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

Over 2.5 has been close to a coin-flip for both sides — 54% (Aston Villa) and 61% (Chelsea). Stepping up a level, Over 3.5 has also landed reasonably often — 30% and 30% 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 = Aston Villa home games / Chelsea 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 19/28
(67.9%)
10/14
(71.4%)
2+ Goals Before HT 6/28
(21.4%)
3/14
(21.4%)
0-0 HT → 1+ Goal 2nd Half 6/9
(66.7%)
3/4
(75%)
0-0 HT → 2+ Goals 2nd Half 3/9
(33.3%)
0/4
(0%)
Winning at HT 7/28
(25%)
5/14
(35.7%)
Lost Lead (Win HT → No Win FT) 1/28
(3.6%)
0/14
(0%)
Came From Behind (Lose HT → Draw/Win FT) 4/28
(14.3%)
1/14
(7.1%)
Full-Time Metrics
BTTS 37/66
(56.1%)
20/33
(60.6%)
Over 2.5 Goals 37/66
(56.1%)
18/33
(54.5%)
Over 3.5 Goals 18/66
(27.3%)
10/33
(30.3%)
Clean Sheet 17/66
(25.8%)
9/33
(27.3%)
Failed to Score 16/66
(24.2%)
6/33
(18.2%)
Chelsea Chelsea Current Season
Metric All
(66 games)
Venue
(33 games)
Half-Time Metrics
1+ Goal Before HT 22/28
(78.6%)
11/14
(78.6%)
2+ Goals Before HT 10/28
(35.7%)
6/14
(42.9%)
0-0 HT → 1+ Goal 2nd Half 4/6
(66.7%)
2/3
(66.7%)
0-0 HT → 2+ Goals 2nd Half 4/6
(66.7%)
2/3
(66.7%)
Winning at HT 13/28
(46.4%)
5/14
(35.7%)
Lost Lead (Win HT → No Win FT) 4/28
(14.3%)
0/14
(0%)
Came From Behind (Lose HT → Draw/Win FT) 4/28
(14.3%)
3/14
(21.4%)
Full-Time Metrics
BTTS 41/66
(62.1%)
20/33
(60.6%)
Over 2.5 Goals 39/66
(59.1%)
20/33
(60.6%)
Over 3.5 Goals 20/66
(30.3%)
10/33
(30.3%)
Clean Sheet 20/66
(30.3%)
9/33
(27.3%)
Failed to Score 9/66
(13.6%)
7/33
(21.2%)

❓ Frequently Asked Questions

Do both teams usually score when Aston Villa play Chelsea?

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

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

Recent trends suggest it could be — Over 2.5 goals has landed in 54% of Aston Villa's matches and 61% of Chelsea's.

Do Aston Villa and Chelsea tend to score early?

Aston Villa have had a goal before half-time in 71% of their recent matches, Chelsea in 79% — a useful reference point for first-half goal markets.

📰

Dominant Chelsea run riot with a 1-4 hammering of Aston Villa.

📝 Match Report

How It Unfolded

Chelsea beat Aston Villa 1-4 at Villa Park, Regular Season - 29, 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 Aston Villa 1.24 xG and Chelsea 1.13 xG, a combined 2.37. The scoreboard read 1-4 for 5 actual goals. Chelsea outscored their 1.13 projection by 2.9. Those figures were built on strength ratings of Aston Villa attack 0.95 / defence 0.74 against Chelsea attack 1.19 / defence 0.91, drawn from 66/66 games (CurrentSeason).

On the result, the model split it Aston Villa 36% | Draw 33% | Chelsea 31%, with Aston Villa to win its most likely call at 36%. The actual Chelsea win had been the model's second-ranked read at 31%, so the result diverged from the top call without being a shock.

Goals & Markets

The model rated Over 2.5 goals at 42%. The game delivered 5, so it went over — the opposite of the projected direction. Over 1.5 had been 71% and landed. Over 3.5 was 21% and came in. On both teams to score, the model sat at 50% and the match saw both sides score — another call in the model's favour. Historically the two sides average 58% Over 2.5 across their same-competition games (Aston Villa 56%, Chelsea 59%), a base rate that agreed with today's over. Their combined BTTS history runs at 59%, which matched the both-scored outcome.

Trading Patterns vs Reality

Aston Villa's trading profile (66 games, 33 home) set some clear expectations: BTTS lands in 56% of their matches — today it did.

Chelsea's trading profile (66 games, 33 away) set some clear expectations: BTTS lands in 62% of their matches — today it did; they keep a clean sheet 30% of the time, and conceded here.

Form vs Result

The form lines were close — Aston Villa 1.77 PPG, Chelsea 1.73 PPG — offering no strong steer, and the Chelsea win broke the near-deadlock. Aston Villa (home/away splits) shipped 4 against a 0.94 concession average — a leakier day than usual. Chelsea (home/away splits) scored 4 against a 1.67 average — above their attacking norm.

Verdict

Grading the result against the stored data, 1 of 3 pre-match signals came in: result (miss), Over 2.5 (miss), BTTS (hit). 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 — 42% Over 2.5 probability, but 5 goals scored.
Model BTTS matched the model — 50% projected, both teams scored.
Trading Trading data backed up — the sides average 58% 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.