RadarOnze

Aston Villa vs Sunderland: statistics and analysis

PREMIER LEAGUE 2026/27 · PRE-MATCH ANALYSIS

Round 11

· 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

71.1%

high
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 × 1.31

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

  • Opponent strength: 1521 × 1496

    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: 59.9

    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: 1.34 × 1.14

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

  • Model expected goals: 1.49 × 1.26

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

  • Signal consensus: 91.7

    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 71.1%, high 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 × 1.31 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1521 × 1496 (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

38.6%

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

Model factors

  • League average — metric: 3.9

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.68 × 2.39

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

  • Opponent strength: 1521 × 1496

    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 / 42

    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: 4.07

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

  • Signal consensus: 97.6

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 4.5 yellow cards has a model probability of 38.6%, high confidence and a sample of 42 matches per team.

League average — metric: 3.9 (Weighted average using only matches played before the fixture.) Home/away strength: 1.68 × 2.39 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1521 × 1496 (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

67.7%

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 × 1.31

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

  • Opponent strength: 1521 × 1496

    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: 59.9

    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: 1.34 × 1.14

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

  • Model expected goals: 1.49 × 1.26

    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

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance 1X has a model probability of 67.7%, 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 × 1.31 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1521 × 1496 (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

58.1%

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 × 1.31

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

  • Opponent strength: 1521 × 1496

    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: 59.9

    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: 1.34 × 1.14

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

  • Model expected goals: 1.49 × 1.26

    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: 96.4

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance X2 has a model probability of 58.1%, 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 × 1.31 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1521 × 1496 (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

81.5%

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

Model factors

  • League average — shots: 25.88

    Weighted average using only matches played before the fixture.

  • Home/away strength: 12.93 × 12.04

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

  • Opponent strength: 1521 × 1496

    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: 96.5

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 20.5 shots has a model probability of 81.5%, high confidence and a sample of 43 matches per team.

League average — shots: 25.88 (Weighted average using only matches played before the fixture.) Home/away strength: 12.93 × 12.04 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1521 × 1496 (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

32.3%

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 × 1.31

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

  • Opponent strength: 1521 × 1496

    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: 59.9

    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: 1.34 × 1.14

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

  • Model expected goals: 1.49 × 1.26

    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

    Agreement between the parametric model and the smoothed empirical frequency.

Draw

25.8%

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 × 1.31

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

  • Opponent strength: 1521 × 1496

    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: 59.9

    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: 1.34 × 1.14

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

  • Model expected goals: 1.49 × 1.26

    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: 97.6

    Agreement between the parametric model and the smoothed empirical frequency.

Home win

41.9%

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 × 1.31

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

  • Opponent strength: 1521 × 1496

    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: 59.9

    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: 1.34 × 1.14

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

  • Model expected goals: 1.49 × 1.26

    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: 96.4

    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, Aston Villa recorded 1 win, 1 draw and 3 defeats and averaged 0.80 goals scored per match. Sunderland's 5-match sample contains 1 win, 1 draw and 3 defeats, with 1.20 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, Sunderland has 0 wins, 1 draw and 2 defeats in 3 matches, with 1.67 goals scored and 2.67 goals conceded.

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

Shot volume separates the sides at 9.60 per match for Aston Villa and 13.20 for Sunderland. On target, the averages are 2.40 and 5.00, 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

Sunderland

5 matches
LLDWL
W
1
D
1
L
3
GF
6
GA
10

Last 5

Aston Villa

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

Last 5

Sunderland

5 matches
LLDWL
W
1
D
1
L
3
GF
6
GA
10

Last 5

Aston Villa

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

Last 5

Sunderland

5 matches
LLDWL
W
1
D
1
L
3
GF
6
GA
10

Season

Aston Villa

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

Season

Sunderland

5 matches
LLDWL
W
1
D
1
L
3
GF
6
GA
10

Goals

Frequencies across the last 10

Average goals scored

Aston Villa

0.80 · 5 matches

Sunderland

1.20 · 5 matches

Average goals conceded

Aston Villa

1.80 · 5 matches

Sunderland

2.00 · 5 matches

Over 0.5

Aston Villa

80% · 4 of 5 matches

Sunderland

100% · 5 of 5 matches

Over 1.5

Aston Villa

60% · 3 of 5 matches

Sunderland

80% · 4 of 5 matches

Over 2.5

Aston Villa

60% · 3 of 5 matches

Sunderland

40% · 2 of 5 matches

Over 3.5

Aston Villa

40% · 2 of 5 matches

Sunderland

20% · 1 of 5 matches

Both teams scored

Aston Villa

40% · 2 of 5 matches

Sunderland

60% · 3 of 5 matches

Clean sheet

Aston Villa

20% · 1 of 5 matches

Sunderland

20% · 1 of 5 matches

Failed to score

Aston Villa

60% · 3 of 5 matches

Sunderland

20% · 1 of 5 matches

Corners

Volume and observed lines

Average for

Aston Villa

3.00 · 5 matches

Sunderland

4.00 · 5 matches

Average against

Aston Villa

4.80 · 5 matches

Sunderland

4.00 · 5 matches

Total average

Aston Villa

7.80 · 5 matches

Sunderland

8.00 · 5 matches

Over 7.5

Aston Villa

20% · 1 of 5 matches

Sunderland

40% · 2 of 5 matches

Over 8.5

Aston Villa

20% · 1 of 5 matches

Sunderland

20% · 1 of 5 matches

Over 9.5

Aston Villa

20% · 1 of 5 matches

Sunderland

20% · 1 of 5 matches

Over 10.5

Aston Villa

20% · 1 of 5 matches

Sunderland

20% · 1 of 5 matches

Over 11.5

Aston Villa

20% · 1 of 5 matches

Sunderland

0% · 0 of 5 matches

Cards

Averages and frequencies

Team average

Aston Villa

2.20 · 5 matches

Sunderland

2.20 · 5 matches

Opponent average

Aston Villa

2.20 · 5 matches

Sunderland

1.40 · 5 matches

Total average

Aston Villa

4.40 · 5 matches

Sunderland

3.60 · 5 matches

Over 2.5

Aston Villa

80% · 4 of 5 matches

Sunderland

60% · 3 of 5 matches

Over 3.5

Aston Villa

60% · 3 of 5 matches

Sunderland

40% · 2 of 5 matches

Over 4.5

Aston Villa

40% · 2 of 5 matches

Sunderland

40% · 2 of 5 matches

Over 5.5

Aston Villa

40% · 2 of 5 matches

Sunderland

20% · 1 of 5 matches

Fouls

Match intensity

Committed average

Aston Villa

11.40 · 5 matches

Sunderland

13.00 · 5 matches

Opponent average

Aston Villa

10.60 · 5 matches

Sunderland

14.20 · 5 matches

Total average

Aston Villa

22.00 · 5 matches

Sunderland

27.20 · 5 matches

Shots

Production and concessions

Average shots

Aston Villa

9.60 · 5 matches

Sunderland

13.20 · 5 matches

Average shots on target

Aston Villa

2.40 · 5 matches

Sunderland

5.00 · 5 matches

Average shots conceded

Aston Villa

16.20 · 5 matches

Sunderland

11.60 · 5 matches

Average shots on target conceded

Aston Villa

5.20 · 5 matches

Sunderland

3.20 · 5 matches

Average xG

Aston Villa

0.30 · 2 matches

Sunderland

1.21 · 2 matches

Average xG against

Aston Villa

2.41 · 2 matches

Sunderland

1.30 · 2 matches

Home vs away

Aston Villa at home × Sunderland away

Aston Villa at home

Aston Villa

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

Sunderland away

Sunderland

3 matches
LDL
W
0
D
1
L
2
GF
5
GA
8
Average goals scored

Aston Villa at home

0.50 · 2 matches

Sunderland away

1.67 · 3 matches

Average goals conceded

Aston Villa at home

1.50 · 2 matches

Sunderland away

2.67 · 3 matches

Over 0.5

Aston Villa at home

100% · 2 of 2 matches

Sunderland away

100% · 3 of 3 matches

Over 1.5

Aston Villa at home

50% · 1 of 2 matches

Sunderland away

100% · 3 of 3 matches

Over 2.5

Aston Villa at home

50% · 1 of 2 matches

Sunderland away

67% · 2 of 3 matches

Over 3.5

Aston Villa at home

0% · 0 of 2 matches

Sunderland away

33% · 1 of 3 matches

Both teams scored

Aston Villa at home

50% · 1 of 2 matches

Sunderland away

100% · 3 of 3 matches

Clean sheet

Aston Villa at home

0% · 0 of 2 matches

Sunderland away

0% · 0 of 3 matches

Failed to score

Aston Villa at home

50% · 1 of 2 matches

Sunderland away

0% · 0 of 3 matches

Total corner average

Aston Villa at home

6.50 · 2 matches

Sunderland away

8.67 · 3 matches

Over 8.5 corners

Aston Villa at home

0% · 0 of 2 matches

Sunderland away

33% · 1 of 3 matches

Total card average

Aston Villa at home

5.50 · 2 matches

Sunderland away

3.00 · 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

Sunderland

B. Brobbey

Forward

7.02

5 matches · 401 min

3 goals · 0 assists · 5 of 10 shots on target

E. Le Fée

Midfielder

6.79

5 matches · 439 min

1 goals · 1 assists · 3 of 10 shots on target

N. Angulo

Midfielder

6.52

5 matches · 318 min

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

H. Diarra

Midfielder

6.75

2 matches · 28 min

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

T. Meunier

Midfielder

6.66

5 matches · 399 min

0 goals · 1 assists · 4 of 6 shots on target

R. Roefs

Goalkeeper

6.16

5 matches · 450 min

6 saves · 2 goals conceded

M. Ellborg

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.

Descriptive analysis based exclusively on available frequencies.