RadarOnze

Chelsea vs Aston Villa: statistics and analysis

PREMIER LEAGUE 2026/27 · PRE-MATCH ANALYSIS

Round 16

· LONDON TIME · Stamford Bridge · 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

75.5%

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

Model factors

  • League average — goals: 2.77

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.55 × 1.56

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

  • Opponent strength: 1490 × 1521

    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: 60.1

    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: 1.74 × 1.32

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

  • Model expected goals: 1.60 × 1.49

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

  • Signal consensus: 73.2

    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 75.5%, medium confidence and a sample of 43 matches per team.

League average — goals: 2.77 (Weighted average using only matches played before the fixture.) Home/away strength: 1.55 × 1.56 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1490 × 1521 (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

45.6%

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

Model factors

  • League average — metric: 3.9

    Weighted average using only matches played before the fixture.

  • Home/away strength: 2.38 × 2.08

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

  • Opponent strength: 1490 × 1521

    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

    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: 4.46

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

  • Signal consensus: 94.1

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 4.5 yellow cards has a model probability of 45.6%, high confidence and a sample of 43 matches per team.

League average — metric: 3.9 (Weighted average using only matches played before the fixture.) Home/away strength: 2.38 × 2.08 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1490 × 1521 (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

64.4%

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

Model factors

  • League average — goals: 2.77

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.55 × 1.56

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

  • Opponent strength: 1490 × 1521

    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: 60.1

    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: 1.74 × 1.32

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

  • Model expected goals: 1.60 × 1.49

    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: 92.5

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance 1X has a model probability of 64.4%, medium confidence and a sample of 43 matches per team.

League average — goals: 2.77 (Weighted average using only matches played before the fixture.) Home/away strength: 1.55 × 1.56 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1490 × 1521 (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

60.0%

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

Model factors

  • League average — goals: 2.77

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.55 × 1.56

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

  • Opponent strength: 1490 × 1521

    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: 60.1

    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: 1.74 × 1.32

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

  • Model expected goals: 1.60 × 1.49

    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: 92.4

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance X2 has a model probability of 60.0%, medium confidence and a sample of 43 matches per team.

League average — goals: 2.77 (Weighted average using only matches played before the fixture.) Home/away strength: 1.55 × 1.56 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1490 × 1521 (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

85.6%

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

Model factors

  • League average — shots: 25.78

    Weighted average using only matches played before the fixture.

  • Home/away strength: 14.16 × 11.81

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

  • Opponent strength: 1490 × 1521

    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: 25.98

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

  • Signal consensus: 94.5

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 20.5 shots has a model probability of 85.6%, high confidence and a sample of 43 matches per team.

League average — shots: 25.78 (Weighted average using only matches played before the fixture.) Home/away strength: 14.16 × 11.81 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1490 × 1521 (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

35.6%

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

Model factors

  • League average — goals: 2.77

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.55 × 1.56

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

  • Opponent strength: 1490 × 1521

    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: 60.1

    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: 1.74 × 1.32

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

  • Model expected goals: 1.60 × 1.49

    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: 92.5

    Agreement between the parametric model and the smoothed empirical frequency.

Draw

24.4%

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

Model factors

  • League average — goals: 2.77

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.55 × 1.56

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

  • Opponent strength: 1490 × 1521

    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: 60.1

    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: 1.74 × 1.32

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

  • Model expected goals: 1.60 × 1.49

    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: 99.9

    Agreement between the parametric model and the smoothed empirical frequency.

Home win

40.0%

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

Model factors

  • League average — goals: 2.77

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.55 × 1.56

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

  • Opponent strength: 1490 × 1521

    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: 60.1

    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: 1.74 × 1.32

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

  • Model expected goals: 1.60 × 1.49

    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: 92.4

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

The venue split shows Chelsea at home with 1 win, 1 draw and 0 defeats in 2 matches, averaging 3.00 goals scored and 2.50 goals conceded. Away from home, Aston Villa has 1 win, 1 draw and 1 defeat in 3 matches, with 1.00 goal scored and 2.00 goals conceded.

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

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

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

Last 5

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

Season

Aston Villa

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

Goals

Frequencies across the last 10

Average goals scored

Chelsea

2.00 · 5 matches

Aston Villa

0.80 · 5 matches

Average goals conceded

Chelsea

2.40 · 5 matches

Aston Villa

1.80 · 5 matches

Over 0.5

Chelsea

100% · 5 of 5 matches

Aston Villa

80% · 4 of 5 matches

Over 1.5

Chelsea

100% · 5 of 5 matches

Aston Villa

60% · 3 of 5 matches

Over 2.5

Chelsea

100% · 5 of 5 matches

Aston Villa

60% · 3 of 5 matches

Over 3.5

Chelsea

60% · 3 of 5 matches

Aston Villa

40% · 2 of 5 matches

Both teams scored

Chelsea

80% · 4 of 5 matches

Aston Villa

40% · 2 of 5 matches

Clean sheet

Chelsea

0% · 0 of 5 matches

Aston Villa

20% · 1 of 5 matches

Failed to score

Chelsea

20% · 1 of 5 matches

Aston Villa

60% · 3 of 5 matches

Corners

Volume and observed lines

Average for

Chelsea

6.80 · 5 matches

Aston Villa

3.00 · 5 matches

Average against

Chelsea

5.20 · 5 matches

Aston Villa

4.80 · 5 matches

Total average

Chelsea

12.00 · 5 matches

Aston Villa

7.80 · 5 matches

Over 7.5

Chelsea

100% · 5 of 5 matches

Aston Villa

20% · 1 of 5 matches

Over 8.5

Chelsea

80% · 4 of 5 matches

Aston Villa

20% · 1 of 5 matches

Over 9.5

Chelsea

80% · 4 of 5 matches

Aston Villa

20% · 1 of 5 matches

Over 10.5

Chelsea

60% · 3 of 5 matches

Aston Villa

20% · 1 of 5 matches

Over 11.5

Chelsea

40% · 2 of 5 matches

Aston Villa

20% · 1 of 5 matches

Cards

Averages and frequencies

Team average

Chelsea

1.80 · 5 matches

Aston Villa

2.20 · 5 matches

Opponent average

Chelsea

2.80 · 5 matches

Aston Villa

2.20 · 5 matches

Total average

Chelsea

4.60 · 5 matches

Aston Villa

4.40 · 5 matches

Over 2.5

Chelsea

80% · 4 of 5 matches

Aston Villa

80% · 4 of 5 matches

Over 3.5

Chelsea

80% · 4 of 5 matches

Aston Villa

60% · 3 of 5 matches

Over 4.5

Chelsea

60% · 3 of 5 matches

Aston Villa

40% · 2 of 5 matches

Over 5.5

Chelsea

40% · 2 of 5 matches

Aston Villa

40% · 2 of 5 matches

Fouls

Match intensity

Committed average

Chelsea

8.60 · 5 matches

Aston Villa

11.40 · 5 matches

Opponent average

Chelsea

11.80 · 5 matches

Aston Villa

10.60 · 5 matches

Total average

Chelsea

20.40 · 5 matches

Aston Villa

22.00 · 5 matches

Shots

Production and concessions

Average shots

Chelsea

14.40 · 5 matches

Aston Villa

9.60 · 5 matches

Average shots on target

Chelsea

5.20 · 5 matches

Aston Villa

2.40 · 5 matches

Average shots conceded

Chelsea

14.40 · 5 matches

Aston Villa

16.20 · 5 matches

Average shots on target conceded

Chelsea

6.40 · 5 matches

Aston Villa

5.20 · 5 matches

Average xG

Chelsea

2.61 · 2 matches

Aston Villa

0.30 · 2 matches

Average xG against

Chelsea

1.45 · 2 matches

Aston Villa

2.41 · 2 matches

Home vs away

Chelsea at home × Aston Villa away

Chelsea at home

Chelsea

2 matches
DW
W
1
D
1
L
0
GF
6
GA
5

Aston Villa away

Aston Villa

3 matches
WDL
W
1
D
1
L
1
GF
3
GA
6
Average goals scored

Chelsea at home

3.00 · 2 matches

Aston Villa away

1.00 · 3 matches

Average goals conceded

Chelsea at home

2.50 · 2 matches

Aston Villa away

2.00 · 3 matches

Over 0.5

Chelsea at home

100% · 2 of 2 matches

Aston Villa away

67% · 2 of 3 matches

Over 1.5

Chelsea at home

100% · 2 of 2 matches

Aston Villa away

67% · 2 of 3 matches

Over 2.5

Chelsea at home

100% · 2 of 2 matches

Aston Villa away

67% · 2 of 3 matches

Over 3.5

Chelsea at home

100% · 2 of 2 matches

Aston Villa away

67% · 2 of 3 matches

Both teams scored

Chelsea at home

100% · 2 of 2 matches

Aston Villa away

33% · 1 of 3 matches

Clean sheet

Chelsea at home

0% · 0 of 2 matches

Aston Villa away

33% · 1 of 3 matches

Failed to score

Chelsea at home

0% · 0 of 2 matches

Aston Villa away

67% · 2 of 3 matches

Total corner average

Chelsea at home

13.00 · 2 matches

Aston Villa away

8.67 · 3 matches

Over 8.5 corners

Chelsea at home

100% · 2 of 2 matches

Aston Villa away

33% · 1 of 3 matches

Total card average

Chelsea at home

5.00 · 2 matches

Aston Villa away

3.67 · 3 matches

Players and goalkeepers

Pre-match highlights

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

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

H2H

Recent meetings

Insufficient data

Combined view

Data convergences

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

Descriptive analysis based exclusively on available frequencies.