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Sevilla vs Villarreal: statistics and analysis

LA LIGA 2026/27 · PRE-MATCH ANALYSIS

Round 36

· LONDON TIME · Stadium not provided · Referee: not provided

Sevilla

Sevilla

5 · 13 pts · 7 P · 4 W · 1 D · 2 L · GD 1

VSVillarreal

Villarreal

9 · 8 pts · 7 P · 2 W · 2 D · 3 L · GD 1

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

82.9%

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

Model factors

  • League average — goals: 2.76

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.16 × 1.82

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

  • Opponent strength: 1486 × 1546

    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: 61.5

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

  • Sample per team: 45 / 45

    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: 1.05 × 1.56

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

  • Model expected goals: 1.13 × 1.75

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

  • Signal consensus: 96.7

    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 82.9%, high confidence and a sample of 45 matches per team.

League average — goals: 2.76 (Weighted average using only matches played before the fixture.) Home/away strength: 1.16 × 1.82 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1486 × 1546 (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.

Both teams to score

56.9%

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

Model factors

  • League average — goals: 2.76

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.16 × 1.82

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

  • Opponent strength: 1486 × 1546

    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: 61.5

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

  • Sample per team: 45 / 45

    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: 1.05 × 1.56

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

  • Model expected goals: 1.13 × 1.75

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

  • Signal consensus: 86.5

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Both teams to score has a model probability of 56.9%, high confidence and a sample of 45 matches per team.

League average — goals: 2.76 (Weighted average using only matches played before the fixture.) Home/away strength: 1.16 × 1.82 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1486 × 1546 (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 3.5 yellow cards

69.9%

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

Model factors

  • League average — metric: 4.44

    Weighted average using only matches played before the fixture.

  • Home/away strength: 2.58 × 2.30

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

  • Opponent strength: 1486 × 1546

    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: 67.5

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

  • Sample per team: 45 / 45

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

  • Historical coverage: 98.7%

    Share of previous matches with complete data for this market.

  • Model expected metric: 4.88

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

  • Signal consensus: 75

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 3.5 yellow cards has a model probability of 69.9%, high confidence and a sample of 45 matches per team.

League average — metric: 4.44 (Weighted average using only matches played before the fixture.) Home/away strength: 2.58 × 2.30 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1486 × 1546 (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 12

75.8%

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

Model factors

  • League average — goals: 2.76

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.16 × 1.82

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

  • Opponent strength: 1486 × 1546

    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: 61.5

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

  • Sample per team: 45 / 45

    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: 1.05 × 1.56

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

  • Model expected goals: 1.13 × 1.75

    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: 86.3

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance 12 has a model probability of 75.8%, high confidence and a sample of 45 matches per team.

League average — goals: 2.76 (Weighted average using only matches played before the fixture.) Home/away strength: 1.16 × 1.82 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1486 × 1546 (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

49.2%

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

Model factors

  • League average — goals: 2.76

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.16 × 1.82

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

  • Opponent strength: 1486 × 1546

    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: 61.5

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

  • Sample per team: 45 / 45

    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: 1.05 × 1.56

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

  • Model expected goals: 1.13 × 1.75

    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: 33.7

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance 1X has a model probability of 49.2%, medium confidence and a sample of 45 matches per team.

League average — goals: 2.76 (Weighted average using only matches played before the fixture.) Home/away strength: 1.16 × 1.82 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1486 × 1546 (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

74.9%

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

Model factors

  • League average — goals: 2.76

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.16 × 1.82

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

  • Opponent strength: 1486 × 1546

    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: 61.5

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

  • Sample per team: 45 / 45

    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: 1.05 × 1.56

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

  • Model expected goals: 1.13 × 1.75

    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: 19.8

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance X2 has a model probability of 74.9%, medium confidence and a sample of 45 matches per team.

League average — goals: 2.76 (Weighted average using only matches played before the fixture.) Home/away strength: 1.16 × 1.82 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1486 × 1546 (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 0.5 goals

95.2%

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

Model factors

  • League average — goals: 2.76

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.16 × 1.82

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

  • Opponent strength: 1486 × 1546

    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: 61.5

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

  • Sample per team: 45 / 45

    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: 1.05 × 1.56

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

  • Model expected goals: 1.13 × 1.75

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

  • Signal consensus: 88.8

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 0.5 goals has a model probability of 95.2%, high confidence and a sample of 45 matches per team.

League average — goals: 2.76 (Weighted average using only matches played before the fixture.) Home/away strength: 1.16 × 1.82 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1486 × 1546 (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 1.5 goals

79.0%

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

Model factors

  • League average — goals: 2.76

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.16 × 1.82

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

  • Opponent strength: 1486 × 1546

    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: 61.5

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

  • Sample per team: 45 / 45

    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: 1.05 × 1.56

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

  • Model expected goals: 1.13 × 1.75

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

  • Signal consensus: 89.8

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 1.5 goals has a model probability of 79.0%, high confidence and a sample of 45 matches per team.

League average — goals: 2.76 (Weighted average using only matches played before the fixture.) Home/away strength: 1.16 × 1.82 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1486 × 1546 (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.

Home team to score 2+ goals

31.6%

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

Model factors

  • League average — goals: 2.76

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.16 × 1.82

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

  • Opponent strength: 1486 × 1546

    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: 61.5

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

  • Sample per team: 45 / 45

    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: 1.05 × 1.56

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

  • Model expected goals: 1.13 × 1.75

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

  • Signal consensus: 94.1

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Home team to score 2+ goals has a model probability of 31.6%, high confidence and a sample of 45 matches per team.

League average — goals: 2.76 (Weighted average using only matches played before the fixture.) Home/away strength: 1.16 × 1.82 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1486 × 1546 (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

69.8%

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

Model factors

  • League average — shots: 25.24

    Weighted average using only matches played before the fixture.

  • Home/away strength: 11.50 × 11.60

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

  • Opponent strength: 1486 × 1546

    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: 83.7

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

  • Sample per team: 45 / 45

    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: 23.09

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

  • Signal consensus: 97.8

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 20.5 shots has a model probability of 69.8%, high confidence and a sample of 45 matches per team.

League average — shots: 25.24 (Weighted average using only matches played before the fixture.) Home/away strength: 11.50 × 11.60 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1486 × 1546 (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 6.5 shots on target

68.9%

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

Model factors

  • League average — shots on target: 8.8

    Weighted average using only matches played before the fixture.

  • Home/away strength: 3.41 × 4.52

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

  • Opponent strength: 1486 × 1546

    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: 76.5

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

  • Sample per team: 45 / 45

    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 on target: 7.94

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

  • Signal consensus: 86.3

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 6.5 shots on target has a model probability of 68.9%, high confidence and a sample of 45 matches per team.

League average — shots on target: 8.8 (Weighted average using only matches played before the fixture.) Home/away strength: 3.41 × 4.52 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1486 × 1546 (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

50.8%

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

Model factors

  • League average — goals: 2.76

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.16 × 1.82

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

  • Opponent strength: 1486 × 1546

    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: 61.5

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

  • Sample per team: 45 / 45

    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: 1.05 × 1.56

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

  • Model expected goals: 1.13 × 1.75

    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: 33.7

    Agreement between the parametric model and the smoothed empirical frequency.

Draw

24.2%

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

Model factors

  • League average — goals: 2.76

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.16 × 1.82

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

  • Opponent strength: 1486 × 1546

    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: 61.5

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

  • Sample per team: 45 / 45

    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: 1.05 × 1.56

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

  • Model expected goals: 1.13 × 1.75

    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: 86.3

    Agreement between the parametric model and the smoothed empirical frequency.

Home win

25.1%

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

Model factors

  • League average — goals: 2.76

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.16 × 1.82

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

  • Opponent strength: 1486 × 1546

    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: 61.5

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

  • Sample per team: 45 / 45

    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: 1.05 × 1.56

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

  • Model expected goals: 1.13 × 1.75

    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: 19.8

    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 10 recent matches, Sevilla recorded 5 wins, 1 draw and 4 defeats and averaged 1.30 goals scored per match. Villarreal's 10-match sample contains 3 wins, 2 draws and 5 defeats, with 2.00 goals scored per match.

The venue split shows Sevilla at home with 9 wins, 4 draws and 10 defeats in 23 matches, averaging 1.26 goals scored and 1.39 goals conceded. Away from home, Villarreal has 8 wins, 7 draws and 8 defeats in 23 matches, with 1.35 goals scored and 1.43 goals conceded.

Both teams scored in 6 of 10 matches (60%) of Sevilla's sample and 8 of 10 matches (80%) of Villarreal's. Over 2.5 goals occurred in 5 of 10 matches (50%) and 8 of 10 matches (80%), respectively.

Shot volume separates the sides at 11.30 per match for Sevilla and 14.30 for Villarreal. On target, the averages are 4.20 and 6.00, 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

Sevilla

5 matches
LWWDL
W
2
D
1
L
2
GF
5
GA
7

Last 5

Villarreal

5 matches
WWLLL
W
2
D
0
L
3
GF
9
GA
8

Last 10

Sevilla

10 matches
LWWDLWWLLW
W
5
D
1
L
4
GF
13
GA
13

Last 10

Villarreal

10 matches
WWLLLDDWLL
W
3
D
2
L
5
GF
20
GA
18

Last 20

Sevilla

20 matches
LWWDLWWLLWWWLLWLLLDD
W
8
D
3
L
9
GF
24
GA
30

Last 20

Villarreal

20 matches
WWLLLDDWLLDWWDWLWDWL
W
8
D
5
L
7
GF
38
GA
31

Season

Sevilla

45 matches
LWWDLWWLLWWWLLWLLLDDWDDLWDLLLWDLLWLLLWWLWDWLL
W
16
D
8
L
21
GF
56
GA
69

Season

Villarreal

45 matches
WWLLLDDWLLDWWDWLWDWLWWLWDLLWWLWWWWWWDLWWWLDWW
W
24
D
8
L
13
GF
85
GA
58

Goals

Frequencies across the last 10

Average goals scored

Sevilla

1.30 · 10 matches

Villarreal

2.00 · 10 matches

Average goals conceded

Sevilla

1.30 · 10 matches

Villarreal

1.80 · 10 matches

Over 0.5

Sevilla

100% · 10 of 10 matches

Villarreal

100% · 10 of 10 matches

Over 1.5

Sevilla

60% · 6 of 10 matches

Villarreal

90% · 9 of 10 matches

Over 2.5

Sevilla

50% · 5 of 10 matches

Villarreal

80% · 8 of 10 matches

Over 3.5

Sevilla

40% · 4 of 10 matches

Villarreal

70% · 7 of 10 matches

Both teams scored

Sevilla

60% · 6 of 10 matches

Villarreal

80% · 8 of 10 matches

Clean sheet

Sevilla

20% · 2 of 10 matches

Villarreal

0% · 0 of 10 matches

Failed to score

Sevilla

20% · 2 of 10 matches

Villarreal

20% · 2 of 10 matches

Corners

Volume and observed lines

Average for

Sevilla

3.40 · 10 matches

Villarreal

7.10 · 10 matches

Average against

Sevilla

3.90 · 10 matches

Villarreal

4.00 · 10 matches

Total average

Sevilla

7.30 · 10 matches

Villarreal

11.10 · 10 matches

Over 7.5

Sevilla

50% · 5 of 10 matches

Villarreal

100% · 10 of 10 matches

Over 8.5

Sevilla

30% · 3 of 10 matches

Villarreal

70% · 7 of 10 matches

Over 9.5

Sevilla

30% · 3 of 10 matches

Villarreal

70% · 7 of 10 matches

Over 10.5

Sevilla

10% · 1 of 10 matches

Villarreal

50% · 5 of 10 matches

Over 11.5

Sevilla

10% · 1 of 10 matches

Villarreal

40% · 4 of 10 matches

Cards

Averages and frequencies

Team average

Sevilla

2.80 · 10 matches

Villarreal

1.50 · 10 matches

Opponent average

Sevilla

1.80 · 10 matches

Villarreal

2.10 · 10 matches

Total average

Sevilla

4.60 · 10 matches

Villarreal

3.60 · 10 matches

Over 2.5

Sevilla

80% · 8 of 10 matches

Villarreal

70% · 7 of 10 matches

Over 3.5

Sevilla

60% · 6 of 10 matches

Villarreal

50% · 5 of 10 matches

Over 4.5

Sevilla

40% · 4 of 10 matches

Villarreal

30% · 3 of 10 matches

Over 5.5

Sevilla

40% · 4 of 10 matches

Villarreal

30% · 3 of 10 matches

Fouls

Match intensity

Committed average

Sevilla

14.80 · 10 matches

Villarreal

9.90 · 10 matches

Opponent average

Sevilla

13.40 · 10 matches

Villarreal

12.30 · 10 matches

Total average

Sevilla

28.20 · 10 matches

Villarreal

22.20 · 10 matches

Shots

Production and concessions

Average shots

Sevilla

11.30 · 10 matches

Villarreal

14.30 · 10 matches

Average shots on target

Sevilla

4.20 · 10 matches

Villarreal

6.00 · 10 matches

Average shots conceded

Sevilla

10.90 · 10 matches

Villarreal

12.70 · 10 matches

Average shots on target conceded

Sevilla

3.70 · 10 matches

Villarreal

4.20 · 10 matches

Average xG

Sevilla

0.92 · 8 matches

Villarreal

1.62 · 8 matches

Average xG against

Sevilla

1.10 · 8 matches

Villarreal

1.41 · 8 matches

Home vs away

Sevilla at home × Villarreal away

Sevilla at home

Sevilla

23 matches
LWLWLWWWLDDDWLLWLWLWLDL
W
9
D
4
L
10
GF
29
GA
32

Villarreal away

Villarreal

23 matches
WLDDLDDWLDLWLDLWWWWLWLD
W
8
D
7
L
8
GF
31
GA
33
Average goals scored

Sevilla at home

1.26 · 23 matches

Villarreal away

1.35 · 23 matches

Average goals conceded

Sevilla at home

1.39 · 23 matches

Villarreal away

1.43 · 23 matches

Over 0.5

Sevilla at home

100% · 23 of 23 matches

Villarreal away

100% · 23 of 23 matches

Over 1.5

Sevilla at home

78% · 18 of 23 matches

Villarreal away

87% · 20 of 23 matches

Over 2.5

Sevilla at home

57% · 13 of 23 matches

Villarreal away

48% · 11 of 23 matches

Over 3.5

Sevilla at home

26% · 6 of 23 matches

Villarreal away

35% · 8 of 23 matches

Both teams scored

Sevilla at home

61% · 14 of 23 matches

Villarreal away

65% · 15 of 23 matches

Clean sheet

Sevilla at home

17% · 4 of 23 matches

Villarreal away

13% · 3 of 23 matches

Failed to score

Sevilla at home

22% · 5 of 23 matches

Villarreal away

22% · 5 of 23 matches

Total corner average

Sevilla at home

7.83 · 23 matches

Villarreal away

8.91 · 23 matches

Over 8.5 corners

Sevilla at home

39% · 9 of 23 matches

Villarreal away

43% · 10 of 23 matches

Total card average

Sevilla at home

5.48 · 23 matches

Villarreal away

4.96 · 23 matches

Players and goalkeepers

Pre-match highlights

Sevilla

M. Sierra

Midfielder

7.12

7 matches · 496 min

2 goals · 0 assists · 5 of 8 shots on target

Isaac

Forward

6.70

6 matches · 211 min

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

Juan Iglesias

Centre-back

6.88

7 matches · 630 min

1 goals · 0 assists · 3 of 4 shots on target

Y. Fofana

Midfielder

6.70

4 matches · 276 min

1 goals · 0 assists · 2 of 3 shots on target

L. Stassin

Forward

6.68

3 matches · 195 min

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

O. Vlachodimos

Goalkeeper

6.76

7 matches · 630 min

20 saves · 6 goals conceded

Fran González

Goalkeeper

0.00

2 matches · 0 min

0 saves · 0 goals conceded

Villarreal

Alberto Moleiro

Midfielder

7.41

7 matches · 410 min

2 goals · 3 assists · 6 of 9 shots on target

P. Gueye

Midfielder

7.17

7 matches · 526 min

3 goals · 0 assists · 4 of 5 shots on target

Ayoze Pérez

Forward

6.86

7 matches · 351 min

1 goals · 2 assists · 7 of 12 shots on target

G. Mikautadze

Forward

6.75

7 matches · 419 min

2 goals · 1 assists · 10 of 15 shots on target

Ilias Akhomach

Forward

6.77

6 matches · 187 min

0 goals · 2 assists · 1 of 3 shots on target

Luíz Júnior

Goalkeeper

4.03

6 matches · 360 min

6 saves · 8 goals conceded

P. Gulácsi

Goalkeeper

7.60

3 matches · 270 min

10 saves · 2 goals conceded

H2H

Recent meetings

Villarreal 2 × 3 Sevilla1391178
Sevilla 1 × 2 Villarreal1390878
Average goals
4.00 · 2 matches
Both teams scored
100% · 2 of 2 matches
Over 2.5
100% · 2 of 2 matches

H2H corners: 8.00 · 2 matches

Combined view

Data convergences

  • Both scopes show a high frequency of the home team scoring.
  • Both scopes show a high frequency of the away team scoring.

Descriptive analysis based exclusively on available frequencies.