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Villarreal vs Sevilla: statistics and analysis

LA LIGA 2026/27 · PRE-MATCH ANALYSIS

Round 18

· LONDON TIME · Estadio de la Cerámica · Referee: not provided

Villarreal

Villarreal

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

VSSevilla

Sevilla

5 · 13 pts · 7 P · 4 W · 1 D · 2 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

71.5%

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

Model factors

  • League average — goals: 2.8

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.97 × 1.26

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

  • Opponent strength: 1546 × 1486

    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: 60.7

    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.

  • Expected Goals: 1.71 × 1.00

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

  • Model expected goals: 1.90 × 1.19

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

  • Signal consensus: 74.4

    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 71.5%, medium confidence and a sample of 45 matches per team.

League average — goals: 2.8 (Weighted average using only matches played before the fixture.) Home/away strength: 1.97 × 1.26 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1546 × 1486 (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

59.9%

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

Model factors

  • League average — goals: 2.8

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.97 × 1.26

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

  • Opponent strength: 1546 × 1486

    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: 60.7

    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.

  • Expected Goals: 1.71 × 1.00

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

  • Model expected goals: 1.90 × 1.19

    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

Both teams to score has a model probability of 59.9%, high confidence and a sample of 45 matches per team.

League average — goals: 2.8 (Weighted average using only matches played before the fixture.) Home/away strength: 1.97 × 1.26 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1546 × 1486 (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

59.8%

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

Model factors

  • League average — metric: 4.4

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.86 × 2.26

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

  • Opponent strength: 1546 × 1486

    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: 67.8

    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: 4.12

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

  • Signal consensus: 89.9

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 3.5 yellow cards has a model probability of 59.8%, high confidence and a sample of 45 matches per team.

League average — metric: 4.4 (Weighted average using only matches played before the fixture.) Home/away strength: 1.86 × 2.26 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1546 × 1486 (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

77.0%

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

Model factors

  • League average — goals: 2.8

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.97 × 1.26

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

  • Opponent strength: 1546 × 1486

    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: 60.7

    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.

  • Expected Goals: 1.71 × 1.00

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

  • Model expected goals: 1.90 × 1.19

    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: 89.6

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance 12 has a model probability of 77.0%, high confidence and a sample of 45 matches per team.

League average — goals: 2.8 (Weighted average using only matches played before the fixture.) Home/away strength: 1.97 × 1.26 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1546 × 1486 (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

75.6%

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

Model factors

  • League average — goals: 2.8

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.97 × 1.26

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

  • Opponent strength: 1546 × 1486

    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: 60.7

    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.

  • Expected Goals: 1.71 × 1.00

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

  • Model expected goals: 1.90 × 1.19

    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: 70.7

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance 1X has a model probability of 75.6%, medium confidence and a sample of 45 matches per team.

League average — goals: 2.8 (Weighted average using only matches played before the fixture.) Home/away strength: 1.97 × 1.26 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1546 × 1486 (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

47.4%

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

Model factors

  • League average — goals: 2.8

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.97 × 1.26

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

  • Opponent strength: 1546 × 1486

    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: 60.7

    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.

  • Expected Goals: 1.71 × 1.00

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

  • Model expected goals: 1.90 × 1.19

    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: 81.3

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance X2 has a model probability of 47.4%, medium confidence and a sample of 45 matches per team.

League average — goals: 2.8 (Weighted average using only matches played before the fixture.) Home/away strength: 1.97 × 1.26 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1546 × 1486 (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

96.1%

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

Model factors

  • League average — goals: 2.8

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.97 × 1.26

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

  • Opponent strength: 1546 × 1486

    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: 60.7

    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.

  • Expected Goals: 1.71 × 1.00

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

  • Model expected goals: 1.90 × 1.19

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

  • Signal consensus: 91.1

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 0.5 goals has a model probability of 96.1%, high confidence and a sample of 45 matches per team.

League average — goals: 2.8 (Weighted average using only matches played before the fixture.) Home/away strength: 1.97 × 1.26 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1546 × 1486 (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

81.3%

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

Model factors

  • League average — goals: 2.8

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.97 × 1.26

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

  • Opponent strength: 1546 × 1486

    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: 60.7

    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.

  • Expected Goals: 1.71 × 1.00

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

  • Model expected goals: 1.90 × 1.19

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

  • Signal consensus: 99.9

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 1.5 goals has a model probability of 81.3%, high confidence and a sample of 45 matches per team.

League average — goals: 2.8 (Weighted average using only matches played before the fixture.) Home/away strength: 1.97 × 1.26 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1546 × 1486 (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

57.8%

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

Model factors

  • League average — goals: 2.8

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.97 × 1.26

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

  • Opponent strength: 1546 × 1486

    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: 60.7

    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.

  • Expected Goals: 1.71 × 1.00

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

  • Model expected goals: 1.90 × 1.19

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

  • Signal consensus: 83

    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 57.8%, high confidence and a sample of 45 matches per team.

League average — goals: 2.8 (Weighted average using only matches played before the fixture.) Home/away strength: 1.97 × 1.26 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1546 × 1486 (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

72.4%

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

Model factors

  • League average — shots: 25.43

    Weighted average using only matches played before the fixture.

  • Home/away strength: 12.68 × 10.87

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

  • Opponent strength: 1546 × 1486

    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: 83.6

    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: 23.55

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

  • Signal consensus: 95.1

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 20.5 shots has a model probability of 72.4%, high confidence and a sample of 45 matches per team.

League average — shots: 25.43 (Weighted average using only matches played before the fixture.) Home/away strength: 12.68 × 10.87 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1546 × 1486 (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

76.7%

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

Model factors

  • League average — shots on target: 8.89

    Weighted average using only matches played before the fixture.

  • Home/away strength: 5.23 × 3.54

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

  • Opponent strength: 1546 × 1486

    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: 76.2

    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: 8.78

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

  • Signal consensus: 92.9

    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 76.7%, high confidence and a sample of 45 matches per team.

League average — shots on target: 8.89 (Weighted average using only matches played before the fixture.) Home/away strength: 5.23 × 3.54 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1546 × 1486 (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

24.4%

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

Model factors

  • League average — goals: 2.8

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.97 × 1.26

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

  • Opponent strength: 1546 × 1486

    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: 60.7

    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.

  • Expected Goals: 1.71 × 1.00

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

  • Model expected goals: 1.90 × 1.19

    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: 70.7

    Agreement between the parametric model and the smoothed empirical frequency.

Draw

23.0%

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

Model factors

  • League average — goals: 2.8

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.97 × 1.26

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

  • Opponent strength: 1546 × 1486

    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: 60.7

    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.

  • Expected Goals: 1.71 × 1.00

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

  • Model expected goals: 1.90 × 1.19

    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: 89.6

    Agreement between the parametric model and the smoothed empirical frequency.

Home win

52.6%

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

Model factors

  • League average — goals: 2.8

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.97 × 1.26

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

  • Opponent strength: 1546 × 1486

    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: 60.7

    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.

  • Expected Goals: 1.71 × 1.00

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

  • Model expected goals: 1.90 × 1.19

    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: 81.3

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

The venue split shows Villarreal at home with 16 wins, 1 draw and 5 defeats in 22 matches, averaging 2.45 goals scored and 1.14 goals conceded. Away from home, Sevilla has 7 wins, 4 draws and 11 defeats in 22 matches, with 1.23 goals scored and 1.68 goals conceded.

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

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

Villarreal

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

Last 5

Sevilla

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

Last 10

Villarreal

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

Last 10

Sevilla

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

Last 20

Villarreal

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

Last 20

Sevilla

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

Season

Villarreal

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

Season

Sevilla

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

Goals

Frequencies across the last 10

Average goals scored

Villarreal

2.00 · 10 matches

Sevilla

1.30 · 10 matches

Average goals conceded

Villarreal

1.80 · 10 matches

Sevilla

1.30 · 10 matches

Over 0.5

Villarreal

100% · 10 of 10 matches

Sevilla

100% · 10 of 10 matches

Over 1.5

Villarreal

90% · 9 of 10 matches

Sevilla

60% · 6 of 10 matches

Over 2.5

Villarreal

80% · 8 of 10 matches

Sevilla

50% · 5 of 10 matches

Over 3.5

Villarreal

70% · 7 of 10 matches

Sevilla

40% · 4 of 10 matches

Both teams scored

Villarreal

80% · 8 of 10 matches

Sevilla

60% · 6 of 10 matches

Clean sheet

Villarreal

0% · 0 of 10 matches

Sevilla

20% · 2 of 10 matches

Failed to score

Villarreal

20% · 2 of 10 matches

Sevilla

20% · 2 of 10 matches

Corners

Volume and observed lines

Average for

Villarreal

7.10 · 10 matches

Sevilla

3.40 · 10 matches

Average against

Villarreal

4.00 · 10 matches

Sevilla

3.90 · 10 matches

Total average

Villarreal

11.10 · 10 matches

Sevilla

7.30 · 10 matches

Over 7.5

Villarreal

100% · 10 of 10 matches

Sevilla

50% · 5 of 10 matches

Over 8.5

Villarreal

70% · 7 of 10 matches

Sevilla

30% · 3 of 10 matches

Over 9.5

Villarreal

70% · 7 of 10 matches

Sevilla

30% · 3 of 10 matches

Over 10.5

Villarreal

50% · 5 of 10 matches

Sevilla

10% · 1 of 10 matches

Over 11.5

Villarreal

40% · 4 of 10 matches

Sevilla

10% · 1 of 10 matches

Cards

Averages and frequencies

Team average

Villarreal

1.50 · 10 matches

Sevilla

2.80 · 10 matches

Opponent average

Villarreal

2.10 · 10 matches

Sevilla

1.80 · 10 matches

Total average

Villarreal

3.60 · 10 matches

Sevilla

4.60 · 10 matches

Over 2.5

Villarreal

70% · 7 of 10 matches

Sevilla

80% · 8 of 10 matches

Over 3.5

Villarreal

50% · 5 of 10 matches

Sevilla

60% · 6 of 10 matches

Over 4.5

Villarreal

30% · 3 of 10 matches

Sevilla

40% · 4 of 10 matches

Over 5.5

Villarreal

30% · 3 of 10 matches

Sevilla

40% · 4 of 10 matches

Fouls

Match intensity

Committed average

Villarreal

9.90 · 10 matches

Sevilla

14.80 · 10 matches

Opponent average

Villarreal

12.30 · 10 matches

Sevilla

13.40 · 10 matches

Total average

Villarreal

22.20 · 10 matches

Sevilla

28.20 · 10 matches

Shots

Production and concessions

Average shots

Villarreal

14.30 · 10 matches

Sevilla

11.30 · 10 matches

Average shots on target

Villarreal

6.00 · 10 matches

Sevilla

4.20 · 10 matches

Average shots conceded

Villarreal

12.70 · 10 matches

Sevilla

10.90 · 10 matches

Average shots on target conceded

Villarreal

4.20 · 10 matches

Sevilla

3.70 · 10 matches

Average xG

Villarreal

1.62 · 8 matches

Sevilla

0.92 · 8 matches

Average xG against

Villarreal

1.41 · 8 matches

Sevilla

1.10 · 8 matches

Home vs away

Villarreal at home × Sevilla away

Villarreal at home

Villarreal

22 matches
WLLWLWWWWWWLWLWWWDWWWW
W
16
D
1
L
5
GF
54
GA
25

Sevilla away

Sevilla

22 matches
WDWLWLLLLDWLDLDLLLWWWL
W
7
D
4
L
11
GF
27
GA
37
Average goals scored

Villarreal at home

2.45 · 22 matches

Sevilla away

1.23 · 22 matches

Average goals conceded

Villarreal at home

1.14 · 22 matches

Sevilla away

1.68 · 22 matches

Over 0.5

Villarreal at home

100% · 22 of 22 matches

Sevilla away

100% · 22 of 22 matches

Over 1.5

Villarreal at home

95% · 21 of 22 matches

Sevilla away

77% · 17 of 22 matches

Over 2.5

Villarreal at home

77% · 17 of 22 matches

Sevilla away

55% · 12 of 22 matches

Over 3.5

Villarreal at home

50% · 11 of 22 matches

Sevilla away

32% · 7 of 22 matches

Both teams scored

Villarreal at home

68% · 15 of 22 matches

Sevilla away

59% · 13 of 22 matches

Clean sheet

Villarreal at home

23% · 5 of 22 matches

Sevilla away

18% · 4 of 22 matches

Failed to score

Villarreal at home

9% · 2 of 22 matches

Sevilla away

23% · 5 of 22 matches

Total corner average

Villarreal at home

9.86 · 22 matches

Sevilla away

10.14 · 22 matches

Over 8.5 corners

Villarreal at home

68% · 15 of 22 matches

Sevilla away

59% · 13 of 22 matches

Total card average

Villarreal at home

3.64 · 22 matches

Sevilla away

4.86 · 22 matches

Players and goalkeepers

Pre-match highlights

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

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

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.