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Villarreal vs Valencia: statistics and analysis

LA LIGA 2026/27 · PRE-MATCH ANALYSIS

Round 25

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

Villarreal

Villarreal

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

VSValencia

Valencia

19 · 4 pts · 7 P · 1 W · 1 D · 5 L · GD -9

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

65.8%

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

Model factors

  • League average — goals: 2.79

    Weighted average using only matches played before the fixture.

  • Home/away strength: 2.04 × 1.03

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

  • Opponent strength: 1546 × 1471

    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

    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: 1.59 × 1.10

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

  • Model expected goals: 1.91 × 1.05

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

  • Signal consensus: 89.1

    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 65.8%, high confidence and a sample of 45 matches per team.

League average — goals: 2.79 (Weighted average using only matches played before the fixture.) Home/away strength: 2.04 × 1.03 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1546 × 1471 (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

55.9%

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

Model factors

  • League average — goals: 2.79

    Weighted average using only matches played before the fixture.

  • Home/away strength: 2.04 × 1.03

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

  • Opponent strength: 1546 × 1471

    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

    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: 1.59 × 1.10

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

  • Model expected goals: 1.91 × 1.05

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

  • Signal consensus: 91.9

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Both teams to score has a model probability of 55.9%, high confidence and a sample of 45 matches per team.

League average — goals: 2.79 (Weighted average using only matches played before the fixture.) Home/away strength: 2.04 × 1.03 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1546 × 1471 (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

52.7%

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

Model factors

  • League average — metric: 4.42

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.95 × 1.76

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

  • Opponent strength: 1546 × 1471

    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: 3.72

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

  • Signal consensus: 76.8

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 3.5 yellow cards has a model probability of 52.7%, high confidence and a sample of 45 matches per team.

League average — metric: 4.42 (Weighted average using only matches played before the fixture.) Home/away strength: 1.95 × 1.76 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1546 × 1471 (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

77.2%

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

Model factors

  • League average — goals: 2.79

    Weighted average using only matches played before the fixture.

  • Home/away strength: 2.04 × 1.03

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

  • Opponent strength: 1546 × 1471

    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

    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: 1.59 × 1.10

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

  • Model expected goals: 1.91 × 1.05

    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: 97.7

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance 12 has a model probability of 77.2%, high confidence and a sample of 45 matches per team.

League average — goals: 2.79 (Weighted average using only matches played before the fixture.) Home/away strength: 2.04 × 1.03 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1546 × 1471 (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

78.8%

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

Model factors

  • League average — goals: 2.79

    Weighted average using only matches played before the fixture.

  • Home/away strength: 2.04 × 1.03

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

  • Opponent strength: 1546 × 1471

    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

    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: 1.59 × 1.10

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

  • Model expected goals: 1.91 × 1.05

    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: 67.3

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance 1X has a model probability of 78.8%, medium confidence and a sample of 45 matches per team.

League average — goals: 2.79 (Weighted average using only matches played before the fixture.) Home/away strength: 2.04 × 1.03 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1546 × 1471 (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

43.9%

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

Model factors

  • League average — goals: 2.79

    Weighted average using only matches played before the fixture.

  • Home/away strength: 2.04 × 1.03

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

  • Opponent strength: 1546 × 1471

    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

    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: 1.59 × 1.10

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

  • Model expected goals: 1.91 × 1.05

    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: 69.8

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance X2 has a model probability of 43.9%, medium confidence and a sample of 45 matches per team.

League average — goals: 2.79 (Weighted average using only matches played before the fixture.) Home/away strength: 2.04 × 1.03 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1546 × 1471 (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: 2.79

    Weighted average using only matches played before the fixture.

  • Home/away strength: 2.04 × 1.03

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

  • Opponent strength: 1546 × 1471

    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

    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: 1.59 × 1.10

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

  • Model expected goals: 1.91 × 1.05

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

  • Signal consensus: 94.9

    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: 2.79 (Weighted average using only matches played before the fixture.) Home/away strength: 2.04 × 1.03 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1546 × 1471 (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

79.4%

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

Model factors

  • League average — goals: 2.79

    Weighted average using only matches played before the fixture.

  • Home/away strength: 2.04 × 1.03

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

  • Opponent strength: 1546 × 1471

    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

    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: 1.59 × 1.10

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

  • Model expected goals: 1.91 × 1.05

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

  • Signal consensus: 99.4

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 1.5 goals has a model probability of 79.4%, high confidence and a sample of 45 matches per team.

League average — goals: 2.79 (Weighted average using only matches played before the fixture.) Home/away strength: 2.04 × 1.03 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1546 × 1471 (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

58.1%

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

Model factors

  • League average — goals: 2.79

    Weighted average using only matches played before the fixture.

  • Home/away strength: 2.04 × 1.03

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

  • Opponent strength: 1546 × 1471

    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

    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: 1.59 × 1.10

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

  • Model expected goals: 1.91 × 1.05

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

  • Signal consensus: 84.9

    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 58.1%, high confidence and a sample of 45 matches per team.

League average — goals: 2.79 (Weighted average using only matches played before the fixture.) Home/away strength: 2.04 × 1.03 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1546 × 1471 (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

80.2%

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

Model factors

  • League average — shots: 25.37

    Weighted average using only matches played before the fixture.

  • Home/away strength: 14.39 × 10.48

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

  • Opponent strength: 1546 × 1471

    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: 24.88

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

  • Signal consensus: 91.5

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 20.5 shots has a model probability of 80.2%, high confidence and a sample of 45 matches per team.

League average — shots: 25.37 (Weighted average using only matches played before the fixture.) Home/away strength: 14.39 × 10.48 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1546 × 1471 (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

71.8%

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

Model factors

  • League average — shots on target: 8.86

    Weighted average using only matches played before the fixture.

  • Home/away strength: 5.35 × 3.01

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

  • Opponent strength: 1546 × 1471

    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: 76.3

    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: 8.36

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

  • Signal consensus: 86.6

    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 71.8%, high confidence and a sample of 45 matches per team.

League average — shots on target: 8.86 (Weighted average using only matches played before the fixture.) Home/away strength: 5.35 × 3.01 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1546 × 1471 (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

21.2%

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

Model factors

  • League average — goals: 2.79

    Weighted average using only matches played before the fixture.

  • Home/away strength: 2.04 × 1.03

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

  • Opponent strength: 1546 × 1471

    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

    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: 1.59 × 1.10

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

  • Model expected goals: 1.91 × 1.05

    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: 67.3

    Agreement between the parametric model and the smoothed empirical frequency.

Draw

22.8%

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

Model factors

  • League average — goals: 2.79

    Weighted average using only matches played before the fixture.

  • Home/away strength: 2.04 × 1.03

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

  • Opponent strength: 1546 × 1471

    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

    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: 1.59 × 1.10

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

  • Model expected goals: 1.91 × 1.05

    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: 97.7

    Agreement between the parametric model and the smoothed empirical frequency.

Home win

56.1%

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

Model factors

  • League average — goals: 2.79

    Weighted average using only matches played before the fixture.

  • Home/away strength: 2.04 × 1.03

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

  • Opponent strength: 1546 × 1471

    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

    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: 1.59 × 1.10

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

  • Model expected goals: 1.91 × 1.05

    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: 69.8

    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, Villarreal recorded 3 wins, 2 draws and 5 defeats and averaged 2.00 goals scored per match. Valencia's 10-match sample contains 3 wins, 2 draws and 5 defeats, with 1.20 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, Valencia has 6 wins, 4 draws and 12 defeats in 22 matches, with 0.95 goals scored and 1.64 goals conceded.

Both teams scored in 8 of 10 matches (80%) of Villarreal's sample and 5 of 10 matches (50%) of Valencia'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 11.80 for Valencia. On target, the averages are 6.00 and 3.40, 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

Villarreal

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

Last 5

Valencia

5 matches
LWLLL
W
1
D
0
L
4
GF
4
GA
12

Last 10

Villarreal

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

Last 10

Valencia

10 matches
LWLLLLDWWD
W
3
D
2
L
5
GF
12
GA
18

Last 20

Villarreal

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

Last 20

Valencia

20 matches
LWLLLLDWWDWLWDLLWLWW
W
8
D
3
L
9
GF
24
GA
29

Season

Villarreal

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

Season

Valencia

45 matches
LWLLLLDWWDWLWDLLWLWWLWLLWWDLDLDDWDLLDLLDWLWLD
W
14
D
11
L
20
GF
50
GA
68

Goals

Frequencies across the last 10

Average goals scored

Villarreal

2.00 · 10 matches

Valencia

1.20 · 10 matches

Average goals conceded

Villarreal

1.80 · 10 matches

Valencia

1.80 · 10 matches

Over 0.5

Villarreal

100% · 10 of 10 matches

Valencia

90% · 9 of 10 matches

Over 1.5

Villarreal

90% · 9 of 10 matches

Valencia

60% · 6 of 10 matches

Over 2.5

Villarreal

80% · 8 of 10 matches

Valencia

50% · 5 of 10 matches

Over 3.5

Villarreal

70% · 7 of 10 matches

Valencia

50% · 5 of 10 matches

Both teams scored

Villarreal

80% · 8 of 10 matches

Valencia

50% · 5 of 10 matches

Clean sheet

Villarreal

0% · 0 of 10 matches

Valencia

20% · 2 of 10 matches

Failed to score

Villarreal

20% · 2 of 10 matches

Valencia

40% · 4 of 10 matches

Corners

Volume and observed lines

Average for

Villarreal

7.10 · 10 matches

Valencia

4.50 · 10 matches

Average against

Villarreal

4.00 · 10 matches

Valencia

3.80 · 10 matches

Total average

Villarreal

11.10 · 10 matches

Valencia

8.30 · 10 matches

Over 7.5

Villarreal

100% · 10 of 10 matches

Valencia

50% · 5 of 10 matches

Over 8.5

Villarreal

70% · 7 of 10 matches

Valencia

50% · 5 of 10 matches

Over 9.5

Villarreal

70% · 7 of 10 matches

Valencia

50% · 5 of 10 matches

Over 10.5

Villarreal

50% · 5 of 10 matches

Valencia

20% · 2 of 10 matches

Over 11.5

Villarreal

40% · 4 of 10 matches

Valencia

20% · 2 of 10 matches

Cards

Averages and frequencies

Team average

Villarreal

1.50 · 10 matches

Valencia

1.80 · 10 matches

Opponent average

Villarreal

2.10 · 10 matches

Valencia

2.10 · 10 matches

Total average

Villarreal

3.60 · 10 matches

Valencia

3.90 · 10 matches

Over 2.5

Villarreal

70% · 7 of 10 matches

Valencia

90% · 9 of 10 matches

Over 3.5

Villarreal

50% · 5 of 10 matches

Valencia

70% · 7 of 10 matches

Over 4.5

Villarreal

30% · 3 of 10 matches

Valencia

30% · 3 of 10 matches

Over 5.5

Villarreal

30% · 3 of 10 matches

Valencia

0% · 0 of 10 matches

Fouls

Match intensity

Committed average

Villarreal

9.90 · 10 matches

Valencia

10.50 · 10 matches

Opponent average

Villarreal

12.30 · 10 matches

Valencia

11.60 · 10 matches

Total average

Villarreal

22.20 · 10 matches

Valencia

22.10 · 10 matches

Shots

Production and concessions

Average shots

Villarreal

14.30 · 10 matches

Valencia

11.80 · 10 matches

Average shots on target

Villarreal

6.00 · 10 matches

Valencia

3.40 · 10 matches

Average shots conceded

Villarreal

12.70 · 10 matches

Valencia

13.20 · 10 matches

Average shots on target conceded

Villarreal

4.20 · 10 matches

Valencia

4.30 · 10 matches

Average xG

Villarreal

1.62 · 8 matches

Valencia

0.94 · 9 matches

Average xG against

Villarreal

1.41 · 8 matches

Valencia

1.41 · 9 matches

Home vs away

Villarreal at home × Valencia away

Villarreal at home

Villarreal

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

Valencia away

Valencia

22 matches
WLLWWDLWLLWLWLLDLDLDLL
W
6
D
4
L
12
GF
21
GA
36
Average goals scored

Villarreal at home

2.45 · 22 matches

Valencia away

0.95 · 22 matches

Average goals conceded

Villarreal at home

1.14 · 22 matches

Valencia away

1.64 · 22 matches

Over 0.5

Villarreal at home

100% · 22 of 22 matches

Valencia away

95% · 21 of 22 matches

Over 1.5

Villarreal at home

95% · 21 of 22 matches

Valencia away

64% · 14 of 22 matches

Over 2.5

Villarreal at home

77% · 17 of 22 matches

Valencia away

45% · 10 of 22 matches

Over 3.5

Villarreal at home

50% · 11 of 22 matches

Valencia away

27% · 6 of 22 matches

Both teams scored

Villarreal at home

68% · 15 of 22 matches

Valencia away

45% · 10 of 22 matches

Clean sheet

Villarreal at home

23% · 5 of 22 matches

Valencia away

27% · 6 of 22 matches

Failed to score

Villarreal at home

9% · 2 of 22 matches

Valencia away

32% · 7 of 22 matches

Total corner average

Villarreal at home

9.86 · 22 matches

Valencia away

9.36 · 22 matches

Over 8.5 corners

Villarreal at home

68% · 15 of 22 matches

Valencia away

55% · 12 of 22 matches

Total card average

Villarreal at home

3.64 · 22 matches

Valencia away

4.05 · 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

Valencia

Aaron Mayol

Midfielder

7.22

2 matches · 180 min

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

Luis Rioja

Forward

6.80

4 matches · 116 min

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

U. Sadiq

Forward

6.73

3 matches · 158 min

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

Javi Guerra

Midfielder

6.55

7 matches · 565 min

0 goals · 1 assists · 1 of 9 shots on target

Hugo Duro

Forward

6.52

7 matches · 272 min

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

S. Dimitrievski

Goalkeeper

6.59

7 matches · 630 min

22 saves · 10 goals conceded

K. van Oevelen

Goalkeeper

0.00

1 matches · 0 min

0 saves · 0 goals conceded

H2H

Recent meetings

Villarreal 2 × 1 Valencia1391068
Valencia 0 × 2 Villarreal1390918
Average goals
2.50 · 2 matches
Both teams scored
50% · 1 of 2 matches
Over 2.5
50% · 1 of 2 matches

H2H corners: 10.50 · 2 matches

Combined view

Data convergences

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

Descriptive analysis based exclusively on available frequencies.