RadarOnze

Aston Villa vs Chelsea: statistics and analysis

PREMIER LEAGUE 2026/27 · PRE-MATCH ANALYSIS

Round 27

· LONDON TIME · Villa Park · Referee: not provided

Statistical engine · radaronze-v1

RadarOnze analysis

Probabilities calculated in advance. The explanatory layer organises existing factors and does not change the model’s numbers.

View in the Betting Centre

Away team to score 1+ goals

78.7%

high
View full analysis
Sample
43 matches/team
Model
radaronze-v1

Model factors

  • League average — goals: 2.76

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.53 × 1.48

    Separate home and away expectations, shrunk towards the overall average.

  • Opponent strength: 1521 × 1490

    Chronological Elo adjustment with no future matches used.

  • Recency: 120-day half-life

    Exponential weighting with a 0.2 floor; older matches never disappear completely.

  • Historical stability: 60.4

    Index derived from the dispersion of previous outcomes for this market.

  • Sample per team: 43 / 43

    Valid home-team and away-team matches available before kick-off.

  • Historical coverage: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 1.30 × 1.63

    The xG signal receives 28% of the weight; observed goals receive 72%.

  • Model expected goals: 1.46 × 1.52

    Parameters from the independent Poisson model for the home and away teams.

  • Signal consensus: 93.8

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Away team to score 1+ goals has a model probability of 78.7%, high confidence and a sample of 43 matches per team.

League average — goals: 2.76 (Weighted average using only matches played before the fixture.) Home/away strength: 1.53 × 1.48 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1521 × 1490 (Chronological Elo adjustment with no future matches used.)

No current market price is available for this signal.

The explanation organises results that have already been calculated; it does not change probabilities, odds, edge, EV, confidence or value classification.

Over 4.5 yellow cards

48.0%

high
View full analysis
Sample
43 matches/team
Model
radaronze-v1

Model factors

  • League average — metric: 3.92

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.99 × 2.63

    Separate home and away expectations, shrunk towards the overall average.

  • Opponent strength: 1521 × 1490

    Chronological Elo adjustment with no future matches used.

  • Recency: 120-day half-life

    Exponential weighting with a 0.2 floor; older matches never disappear completely.

  • Historical stability: 68.2

    Index derived from the dispersion of previous outcomes for this market.

  • Sample per team: 43 / 43

    Valid home-team and away-team matches available before kick-off.

  • Historical coverage: 96.7%

    Share of previous matches with complete data for this market.

  • Model expected metric: 4.62

    Count model with home/away adjustment, team strength and empirical smoothing.

  • Signal consensus: 85.6

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 4.5 yellow cards has a model probability of 48.0%, high confidence and a sample of 43 matches per team.

League average — metric: 3.92 (Weighted average using only matches played before the fixture.) Home/away strength: 1.99 × 2.63 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1521 × 1490 (Chronological Elo adjustment with no future matches used.)

No current market price is available for this signal.

The explanation organises results that have already been calculated; it does not change probabilities, odds, edge, EV, confidence or value classification.

Double chance 1X

61.2%

medium
View full analysis
Sample
43 matches/team
Model
radaronze-v1

Model factors

  • League average — goals: 2.76

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.53 × 1.48

    Separate home and away expectations, shrunk towards the overall average.

  • Opponent strength: 1521 × 1490

    Chronological Elo adjustment with no future matches used.

  • Recency: 120-day half-life

    Exponential weighting with a 0.2 floor; older matches never disappear completely.

  • Historical stability: 60.4

    Index derived from the dispersion of previous outcomes for this market.

  • Sample per team: 43 / 43

    Valid home-team and away-team matches available before kick-off.

  • Historical coverage: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 1.30 × 1.63

    The xG signal receives 28% of the weight; observed goals receive 72%.

  • Model expected goals: 1.46 × 1.52

    Parameters from the independent Poisson model for the home and away teams.

  • Score matrix: 0–10 goals per team

    The 1X2 probabilities are normalised to add up to exactly 100%.

  • Signal consensus: 80.1

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance 1X has a model probability of 61.2%, medium confidence and a sample of 43 matches per team.

League average — goals: 2.76 (Weighted average using only matches played before the fixture.) Home/away strength: 1.53 × 1.48 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1521 × 1490 (Chronological Elo adjustment with no future matches used.)

No current market price is available for this signal.

The explanation organises results that have already been calculated; it does not change probabilities, odds, edge, EV, confidence or value classification.

Double chance X2

63.7%

medium
View full analysis
Sample
43 matches/team
Model
radaronze-v1

Model factors

  • League average — goals: 2.76

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.53 × 1.48

    Separate home and away expectations, shrunk towards the overall average.

  • Opponent strength: 1521 × 1490

    Chronological Elo adjustment with no future matches used.

  • Recency: 120-day half-life

    Exponential weighting with a 0.2 floor; older matches never disappear completely.

  • Historical stability: 60.4

    Index derived from the dispersion of previous outcomes for this market.

  • Sample per team: 43 / 43

    Valid home-team and away-team matches available before kick-off.

  • Historical coverage: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 1.30 × 1.63

    The xG signal receives 28% of the weight; observed goals receive 72%.

  • Model expected goals: 1.46 × 1.52

    Parameters from the independent Poisson model for the home and away teams.

  • Score matrix: 0–10 goals per team

    The 1X2 probabilities are normalised to add up to exactly 100%.

  • Signal consensus: 79.9

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance X2 has a model probability of 63.7%, medium confidence and a sample of 43 matches per team.

League average — goals: 2.76 (Weighted average using only matches played before the fixture.) Home/away strength: 1.53 × 1.48 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1521 × 1490 (Chronological Elo adjustment with no future matches used.)

No current market price is available for this signal.

The explanation organises results that have already been calculated; it does not change probabilities, odds, edge, EV, confidence or value classification.

Over 20.5 shots

81.8%

high
View full analysis
Sample
43 matches/team
Model
radaronze-v1

Model factors

  • League average — shots: 25.55

    Weighted average using only matches played before the fixture.

  • Home/away strength: 11.89 × 13.08

    Separate home and away expectations, shrunk towards the overall average.

  • Opponent strength: 1521 × 1490

    Chronological Elo adjustment with no future matches used.

  • Recency: 120-day half-life

    Exponential weighting with a 0.2 floor; older matches never disappear completely.

  • Historical stability: 85.2

    Index derived from the dispersion of previous outcomes for this market.

  • Sample per team: 43 / 43

    Valid home-team and away-team matches available before kick-off.

  • Historical coverage: 100.0%

    Share of previous matches with complete data for this market.

  • Model expected shots: 24.97

    Count model with home/away adjustment, team strength and empirical smoothing.

  • Signal consensus: 93.2

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 20.5 shots has a model probability of 81.8%, high confidence and a sample of 43 matches per team.

League average — shots: 25.55 (Weighted average using only matches played before the fixture.) Home/away strength: 11.89 × 13.08 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1521 × 1490 (Chronological Elo adjustment with no future matches used.)

No current market price is available for this signal.

The explanation organises results that have already been calculated; it does not change probabilities, odds, edge, EV, confidence or value classification.

Result probabilities — 1X2Complementary statistical view. It does not take part in top signals or tickets.

Away win

38.8%

medium
View full analysis
Sample
43 matches/team
Model
radaronze-v1

Model factors

  • League average — goals: 2.76

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.53 × 1.48

    Separate home and away expectations, shrunk towards the overall average.

  • Opponent strength: 1521 × 1490

    Chronological Elo adjustment with no future matches used.

  • Recency: 120-day half-life

    Exponential weighting with a 0.2 floor; older matches never disappear completely.

  • Historical stability: 60.4

    Index derived from the dispersion of previous outcomes for this market.

  • Sample per team: 43 / 43

    Valid home-team and away-team matches available before kick-off.

  • Historical coverage: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 1.30 × 1.63

    The xG signal receives 28% of the weight; observed goals receive 72%.

  • Model expected goals: 1.46 × 1.52

    Parameters from the independent Poisson model for the home and away teams.

  • Score matrix: 0–10 goals per team

    The 1X2 probabilities are normalised to add up to exactly 100%.

  • Signal consensus: 80.1

    Agreement between the parametric model and the smoothed empirical frequency.

Draw

24.9%

medium
View full analysis
Sample
43 matches/team
Model
radaronze-v1

Model factors

  • League average — goals: 2.76

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.53 × 1.48

    Separate home and away expectations, shrunk towards the overall average.

  • Opponent strength: 1521 × 1490

    Chronological Elo adjustment with no future matches used.

  • Recency: 120-day half-life

    Exponential weighting with a 0.2 floor; older matches never disappear completely.

  • Historical stability: 60.4

    Index derived from the dispersion of previous outcomes for this market.

  • Sample per team: 43 / 43

    Valid home-team and away-team matches available before kick-off.

  • Historical coverage: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 1.30 × 1.63

    The xG signal receives 28% of the weight; observed goals receive 72%.

  • Model expected goals: 1.46 × 1.52

    Parameters from the independent Poisson model for the home and away teams.

  • Score matrix: 0–10 goals per team

    The 1X2 probabilities are normalised to add up to exactly 100%.

  • Signal consensus: 100

    Agreement between the parametric model and the smoothed empirical frequency.

Home win

36.3%

medium
View full analysis
Sample
43 matches/team
Model
radaronze-v1

Model factors

  • League average — goals: 2.76

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.53 × 1.48

    Separate home and away expectations, shrunk towards the overall average.

  • Opponent strength: 1521 × 1490

    Chronological Elo adjustment with no future matches used.

  • Recency: 120-day half-life

    Exponential weighting with a 0.2 floor; older matches never disappear completely.

  • Historical stability: 60.4

    Index derived from the dispersion of previous outcomes for this market.

  • Sample per team: 43 / 43

    Valid home-team and away-team matches available before kick-off.

  • Historical coverage: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 1.30 × 1.63

    The xG signal receives 28% of the weight; observed goals receive 72%.

  • Model expected goals: 1.46 × 1.52

    Parameters from the independent Poisson model for the home and away teams.

  • Score matrix: 0–10 goals per team

    The 1X2 probabilities are normalised to add up to exactly 100%.

  • Signal consensus: 79.9

    Agreement between the parametric model and the smoothed empirical frequency.

18+ · Statistical estimates, not guaranteed outcomes. Bet responsibly.

Data interpretation

RadarOnze analysis

An original, deterministic reading of the real samples shown on this page.

Across 5 recent matches, Aston Villa recorded 1 win, 1 draw and 3 defeats and averaged 0.80 goals scored per match. Chelsea's 5-match sample contains 2 wins, 1 draw and 2 defeats, with 2.00 goals scored per match.

The venue split shows Aston Villa at home with 0 wins, 0 draws and 2 defeats in 2 matches, averaging 0.50 goals scored and 1.50 goals conceded. Away from home, Chelsea has 1 win, 0 draws and 2 defeats in 3 matches, with 1.33 goals scored and 2.33 goals conceded.

Both teams scored in 2 of 5 matches (40%) of Aston Villa's sample and 4 of 5 matches (80%) of Chelsea's. Over 2.5 goals occurred in 3 of 5 matches (60%) and 5 of 5 matches (100%), respectively.

Shot volume separates the sides at 9.60 per match for Aston Villa and 14.40 for Chelsea. On target, the averages are 2.40 and 5.20, respectively.

Historical frequencies describe the available sample; they are not a promise or certainty about a future result.

Form

Recent form and season

Last 5

Aston Villa

5 matches
WLDLL
W
1
D
1
L
3
GF
4
GA
9

Last 5

Chelsea

5 matches
LDLWW
W
2
D
1
L
2
GF
10
GA
12

Last 5

Aston Villa

5 matches
WLDLL
W
1
D
1
L
3
GF
4
GA
9

Last 5

Chelsea

5 matches
LDLWW
W
2
D
1
L
2
GF
10
GA
12

Last 5

Aston Villa

5 matches
WLDLL
W
1
D
1
L
3
GF
4
GA
9

Last 5

Chelsea

5 matches
LDLWW
W
2
D
1
L
2
GF
10
GA
12

Season

Aston Villa

5 matches
WLDLL
W
1
D
1
L
3
GF
4
GA
9

Season

Chelsea

5 matches
LDLWW
W
2
D
1
L
2
GF
10
GA
12

Goals

Frequencies across the last 10

Average goals scored

Aston Villa

0.80 · 5 matches

Chelsea

2.00 · 5 matches

Average goals conceded

Aston Villa

1.80 · 5 matches

Chelsea

2.40 · 5 matches

Over 0.5

Aston Villa

80% · 4 of 5 matches

Chelsea

100% · 5 of 5 matches

Over 1.5

Aston Villa

60% · 3 of 5 matches

Chelsea

100% · 5 of 5 matches

Over 2.5

Aston Villa

60% · 3 of 5 matches

Chelsea

100% · 5 of 5 matches

Over 3.5

Aston Villa

40% · 2 of 5 matches

Chelsea

60% · 3 of 5 matches

Both teams scored

Aston Villa

40% · 2 of 5 matches

Chelsea

80% · 4 of 5 matches

Clean sheet

Aston Villa

20% · 1 of 5 matches

Chelsea

0% · 0 of 5 matches

Failed to score

Aston Villa

60% · 3 of 5 matches

Chelsea

20% · 1 of 5 matches

Corners

Volume and observed lines

Average for

Aston Villa

3.00 · 5 matches

Chelsea

6.80 · 5 matches

Average against

Aston Villa

4.80 · 5 matches

Chelsea

5.20 · 5 matches

Total average

Aston Villa

7.80 · 5 matches

Chelsea

12.00 · 5 matches

Over 7.5

Aston Villa

20% · 1 of 5 matches

Chelsea

100% · 5 of 5 matches

Over 8.5

Aston Villa

20% · 1 of 5 matches

Chelsea

80% · 4 of 5 matches

Over 9.5

Aston Villa

20% · 1 of 5 matches

Chelsea

80% · 4 of 5 matches

Over 10.5

Aston Villa

20% · 1 of 5 matches

Chelsea

60% · 3 of 5 matches

Over 11.5

Aston Villa

20% · 1 of 5 matches

Chelsea

40% · 2 of 5 matches

Cards

Averages and frequencies

Team average

Aston Villa

2.20 · 5 matches

Chelsea

1.80 · 5 matches

Opponent average

Aston Villa

2.20 · 5 matches

Chelsea

2.80 · 5 matches

Total average

Aston Villa

4.40 · 5 matches

Chelsea

4.60 · 5 matches

Over 2.5

Aston Villa

80% · 4 of 5 matches

Chelsea

80% · 4 of 5 matches

Over 3.5

Aston Villa

60% · 3 of 5 matches

Chelsea

80% · 4 of 5 matches

Over 4.5

Aston Villa

40% · 2 of 5 matches

Chelsea

60% · 3 of 5 matches

Over 5.5

Aston Villa

40% · 2 of 5 matches

Chelsea

40% · 2 of 5 matches

Fouls

Match intensity

Committed average

Aston Villa

11.40 · 5 matches

Chelsea

8.60 · 5 matches

Opponent average

Aston Villa

10.60 · 5 matches

Chelsea

11.80 · 5 matches

Total average

Aston Villa

22.00 · 5 matches

Chelsea

20.40 · 5 matches

Shots

Production and concessions

Average shots

Aston Villa

9.60 · 5 matches

Chelsea

14.40 · 5 matches

Average shots on target

Aston Villa

2.40 · 5 matches

Chelsea

5.20 · 5 matches

Average shots conceded

Aston Villa

16.20 · 5 matches

Chelsea

14.40 · 5 matches

Average shots on target conceded

Aston Villa

5.20 · 5 matches

Chelsea

6.40 · 5 matches

Average xG

Aston Villa

0.30 · 2 matches

Chelsea

2.61 · 2 matches

Average xG against

Aston Villa

2.41 · 2 matches

Chelsea

1.45 · 2 matches

Home vs away

Aston Villa at home × Chelsea away

Aston Villa at home

Aston Villa

2 matches
LL
W
0
D
0
L
2
GF
1
GA
3

Chelsea away

Chelsea

3 matches
LLW
W
1
D
0
L
2
GF
4
GA
7
Average goals scored

Aston Villa at home

0.50 · 2 matches

Chelsea away

1.33 · 3 matches

Average goals conceded

Aston Villa at home

1.50 · 2 matches

Chelsea away

2.33 · 3 matches

Over 0.5

Aston Villa at home

100% · 2 of 2 matches

Chelsea away

100% · 3 of 3 matches

Over 1.5

Aston Villa at home

50% · 1 of 2 matches

Chelsea away

100% · 3 of 3 matches

Over 2.5

Aston Villa at home

50% · 1 of 2 matches

Chelsea away

100% · 3 of 3 matches

Over 3.5

Aston Villa at home

0% · 0 of 2 matches

Chelsea away

33% · 1 of 3 matches

Both teams scored

Aston Villa at home

50% · 1 of 2 matches

Chelsea away

67% · 2 of 3 matches

Clean sheet

Aston Villa at home

0% · 0 of 2 matches

Chelsea away

0% · 0 of 3 matches

Failed to score

Aston Villa at home

50% · 1 of 2 matches

Chelsea away

33% · 1 of 3 matches

Total corner average

Aston Villa at home

6.50 · 2 matches

Chelsea away

11.33 · 3 matches

Over 8.5 corners

Aston Villa at home

0% · 0 of 2 matches

Chelsea away

67% · 2 of 3 matches

Total card average

Aston Villa at home

5.50 · 2 matches

Chelsea away

4.33 · 3 matches

Players and goalkeepers

Pre-match highlights

Aston Villa

J. Manzambi

Midfielder

7.44

2 matches · 99 min

1 goals · 1 assists · 2 of 4 shots on target

J. McGinn

Midfielder

6.62

5 matches · 446 min

0 goals · 2 assists · 0 of 4 shots on target

N. Jackson

Forward

6.87

4 matches · 289 min

1 goals · 0 assists · 2 of 8 shots on target

Alysson Edward

Forward

6.83

4 matches · 97 min

1 goals · 0 assists · 1 of 1 shots on target

B. Kamara

Midfielder

6.76

5 matches · 454 min

0 goals · 1 assists · 0 of 1 shots on target

Z. Suzuki

Goalkeeper

7.19

4 matches · 370 min

15 saves · 1 goals conceded

M. Bizot

Goalkeeper

2.17

3 matches · 90 min

3 saves · 4 goals conceded

Chelsea

João Pedro

Forward

7.53

4 matches · 360 min

3 goals · 3 assists · 4 of 8 shots on target

M. Rogers

Midfielder

7.55

5 matches · 439 min

3 goals · 1 assists · 5 of 11 shots on target

C. Palmer

Midfielder

7.42

5 matches · 443 min

2 goals · 2 assists · 5 of 14 shots on target

J. Hato

Centre-back

5.26

5 matches · 260 min

0 goals · 2 assists · 0 of 0 shots on target

Pedro Neto

Midfielder

6.88

5 matches · 336 min

1 goals · 0 assists · 4 of 7 shots on target

E. Martínez

Goalkeeper

6.72

4 matches · 360 min

18 saves · 3 goals conceded

M. Penders

Goalkeeper

0.00

3 matches · 0 min

0 saves · 0 goals conceded

H2H

Recent meetings

Insufficient data

Combined view

Data convergences

  • Both scopes show a high frequency of the away team scoring.
  • Recent histories converge towards matches with three or more goals.

Descriptive analysis based exclusively on available frequencies.