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Valencia vs Real Madrid: statistics and analysis

LA LIGA 2026/27 · PRE-MATCH ANALYSIS

Round 12

· LONDON TIME · Estadio de Mestalla · Referee: not provided

Valencia

Valencia

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

VSReal Madrid

Real Madrid

4 · 15 pts · 7 P · 5 W · 0 D · 2 L · GD 10

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

89.8%

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

Model factors

  • League average — goals: 2.82

    Weighted average using only matches played before the fixture.

  • Home/away strength: 0.81 × 2.35

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

  • Opponent strength: 1471 × 1630

    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: 60.3

    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.

  • Expected Goals: 0.87 × 2.32

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

  • Model expected goals: 0.83 × 2.34

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

  • Signal consensus: 92.9

    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 89.8%, high confidence and a sample of 45 matches per team.

League average — goals: 2.82 (Weighted average using only matches played before the fixture.) Home/away strength: 0.81 × 2.35 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1471 × 1630 (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

51.7%

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

Model factors

  • League average — goals: 2.82

    Weighted average using only matches played before the fixture.

  • Home/away strength: 0.81 × 2.35

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

  • Opponent strength: 1471 × 1630

    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: 60.3

    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.

  • Expected Goals: 0.87 × 2.32

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

  • Model expected goals: 0.83 × 2.34

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

  • Signal consensus: 88.4

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Both teams to score has a model probability of 51.7%, high confidence and a sample of 45 matches per team.

League average — goals: 2.82 (Weighted average using only matches played before the fixture.) Home/away strength: 0.81 × 2.35 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1471 × 1630 (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

64.1%

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

Model factors

  • League average — metric: 4.39

    Weighted average using only matches played before the fixture.

  • Home/away strength: 2.06 × 2.41

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

  • Opponent strength: 1471 × 1630

    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: 67.9

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

  • Sample per team: 45 / 44

    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: 4.46

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

  • Signal consensus: 86.5

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 3.5 yellow cards has a model probability of 64.1%, high confidence and a sample of 44 matches per team.

League average — metric: 4.39 (Weighted average using only matches played before the fixture.) Home/away strength: 2.06 × 2.41 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1471 × 1630 (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

81.8%

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

Model factors

  • League average — goals: 2.82

    Weighted average using only matches played before the fixture.

  • Home/away strength: 0.81 × 2.35

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

  • Opponent strength: 1471 × 1630

    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: 60.3

    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.

  • Expected Goals: 0.87 × 2.32

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

  • Model expected goals: 0.83 × 2.34

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

  • Score matrix: 0–10 goals per team

    The 1X2 probabilities are normalised to add up to exactly 100%.

  • Signal consensus: 96.6

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance 12 has a model probability of 81.8%, high confidence and a sample of 45 matches per team.

League average — goals: 2.82 (Weighted average using only matches played before the fixture.) Home/away strength: 0.81 × 2.35 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1471 × 1630 (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

31.1%

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

Model factors

  • League average — goals: 2.82

    Weighted average using only matches played before the fixture.

  • Home/away strength: 0.81 × 2.35

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

  • Opponent strength: 1471 × 1630

    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: 60.3

    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.

  • Expected Goals: 0.87 × 2.32

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

  • Model expected goals: 0.83 × 2.34

    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: 0

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance 1X has a model probability of 31.1%, medium confidence and a sample of 45 matches per team.

League average — goals: 2.82 (Weighted average using only matches played before the fixture.) Home/away strength: 0.81 × 2.35 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1471 × 1630 (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

87.1%

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

Model factors

  • League average — goals: 2.82

    Weighted average using only matches played before the fixture.

  • Home/away strength: 0.81 × 2.35

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

  • Opponent strength: 1471 × 1630

    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: 60.3

    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.

  • Expected Goals: 0.87 × 2.32

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

  • Model expected goals: 0.83 × 2.34

    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: 0

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance X2 has a model probability of 87.1%, medium confidence and a sample of 45 matches per team.

League average — goals: 2.82 (Weighted average using only matches played before the fixture.) Home/away strength: 0.81 × 2.35 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1471 × 1630 (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

95.8%

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

Model factors

  • League average — goals: 2.82

    Weighted average using only matches played before the fixture.

  • Home/away strength: 0.81 × 2.35

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

  • Opponent strength: 1471 × 1630

    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: 60.3

    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.

  • Expected Goals: 0.87 × 2.32

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

  • Model expected goals: 0.83 × 2.34

    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 0.5 goals has a model probability of 95.8%, high confidence and a sample of 45 matches per team.

League average — goals: 2.82 (Weighted average using only matches played before the fixture.) Home/away strength: 0.81 × 2.35 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1471 × 1630 (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

81.2%

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

Model factors

  • League average — goals: 2.82

    Weighted average using only matches played before the fixture.

  • Home/away strength: 0.81 × 2.35

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

  • Opponent strength: 1471 × 1630

    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: 60.3

    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.

  • Expected Goals: 0.87 × 2.32

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

  • Model expected goals: 0.83 × 2.34

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

  • Signal consensus: 84

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 1.5 goals has a model probability of 81.2%, high confidence and a sample of 45 matches per team.

League average — goals: 2.82 (Weighted average using only matches played before the fixture.) Home/away strength: 0.81 × 2.35 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1471 × 1630 (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

21.4%

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

Model factors

  • League average — goals: 2.82

    Weighted average using only matches played before the fixture.

  • Home/away strength: 0.81 × 2.35

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

  • Opponent strength: 1471 × 1630

    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: 60.3

    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.

  • Expected Goals: 0.87 × 2.32

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

  • Model expected goals: 0.83 × 2.34

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

  • Signal consensus: 82.6

    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 21.4%, high confidence and a sample of 45 matches per team.

League average — goals: 2.82 (Weighted average using only matches played before the fixture.) Home/away strength: 0.81 × 2.35 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1471 × 1630 (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

92.1%

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

Model factors

  • League average — shots: 25.48

    Weighted average using only matches played before the fixture.

  • Home/away strength: 9.72 × 19.15

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

  • Opponent strength: 1471 × 1630

    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: 28.87

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

  • Signal consensus: 66.2

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 20.5 shots has a model probability of 92.1%, high confidence and a sample of 45 matches per team.

League average — shots: 25.48 (Weighted average using only matches played before the fixture.) Home/away strength: 9.72 × 19.15 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1471 × 1630 (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

80.7%

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

Model factors

  • League average — shots on target: 8.92

    Weighted average using only matches played before the fixture.

  • Home/away strength: 2.65 × 6.69

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

  • Opponent strength: 1471 × 1630

    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

    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: 9.34

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

  • Signal consensus: 78.7

    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 80.7%, high confidence and a sample of 45 matches per team.

League average — shots on target: 8.92 (Weighted average using only matches played before the fixture.) Home/away strength: 2.65 × 6.69 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1471 × 1630 (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

68.9%

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

Model factors

  • League average — goals: 2.82

    Weighted average using only matches played before the fixture.

  • Home/away strength: 0.81 × 2.35

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

  • Opponent strength: 1471 × 1630

    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: 60.3

    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.

  • Expected Goals: 0.87 × 2.32

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

  • Model expected goals: 0.83 × 2.34

    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: 0

    Agreement between the parametric model and the smoothed empirical frequency.

Draw

18.2%

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

Model factors

  • League average — goals: 2.82

    Weighted average using only matches played before the fixture.

  • Home/away strength: 0.81 × 2.35

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

  • Opponent strength: 1471 × 1630

    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: 60.3

    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.

  • Expected Goals: 0.87 × 2.32

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

  • Model expected goals: 0.83 × 2.34

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

  • Score matrix: 0–10 goals per team

    The 1X2 probabilities are normalised to add up to exactly 100%.

  • Signal consensus: 96.6

    Agreement between the parametric model and the smoothed empirical frequency.

Home win

12.9%

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

Model factors

  • League average — goals: 2.82

    Weighted average using only matches played before the fixture.

  • Home/away strength: 0.81 × 2.35

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

  • Opponent strength: 1471 × 1630

    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: 60.3

    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.

  • Expected Goals: 0.87 × 2.32

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

  • Model expected goals: 0.83 × 2.34

    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: 0

    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, Valencia recorded 3 wins, 2 draws and 5 defeats and averaged 1.20 goals scored per match. Real Madrid's 10-match sample contains 8 wins, 0 draws and 2 defeats, with 2.50 goals scored per match.

The venue split shows Valencia at home with 8 wins, 7 draws and 8 defeats in 23 matches, averaging 1.26 goals scored and 1.39 goals conceded. Away from home, Real Madrid has 13 wins, 4 draws and 6 defeats in 23 matches, with 1.65 goals scored and 1.09 goals conceded.

Both teams scored in 5 of 10 matches (50%) of Valencia's sample and 6 of 10 matches (60%) of Real Madrid's. Over 2.5 goals occurred in 5 of 10 matches (50%) and 7 of 10 matches (70%), respectively.

Shot volume separates the sides at 11.80 per match for Valencia and 17.60 for Real Madrid. On target, the averages are 3.40 and 6.90, 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

Valencia

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

Last 5

Real Madrid

5 matches
LWWLW
W
3
D
0
L
2
GF
12
GA
6

Last 10

Valencia

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

Last 10

Real Madrid

10 matches
LWWLWWWWWW
W
8
D
0
L
2
GF
25
GA
10

Last 20

Valencia

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

Last 20

Real Madrid

20 matches
LWWLWWWWWWLWDWDLWWWL
W
13
D
2
L
5
GF
41
GA
22

Season

Valencia

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

Season

Real Madrid

45 matches
LWWLWWWWWWLWDWDLWWWLLWWWWWWWWLWDDDWWWWLWWWWWW
W
32
D
5
L
8
GF
95
GA
43

Goals

Frequencies across the last 10

Average goals scored

Valencia

1.20 · 10 matches

Real Madrid

2.50 · 10 matches

Average goals conceded

Valencia

1.80 · 10 matches

Real Madrid

1.00 · 10 matches

Over 0.5

Valencia

90% · 9 of 10 matches

Real Madrid

100% · 10 of 10 matches

Over 1.5

Valencia

60% · 6 of 10 matches

Real Madrid

80% · 8 of 10 matches

Over 2.5

Valencia

50% · 5 of 10 matches

Real Madrid

70% · 7 of 10 matches

Over 3.5

Valencia

50% · 5 of 10 matches

Real Madrid

50% · 5 of 10 matches

Both teams scored

Valencia

50% · 5 of 10 matches

Real Madrid

60% · 6 of 10 matches

Clean sheet

Valencia

20% · 2 of 10 matches

Real Madrid

30% · 3 of 10 matches

Failed to score

Valencia

40% · 4 of 10 matches

Real Madrid

10% · 1 of 10 matches

Corners

Volume and observed lines

Average for

Valencia

4.50 · 10 matches

Real Madrid

5.80 · 10 matches

Average against

Valencia

3.80 · 10 matches

Real Madrid

3.90 · 10 matches

Total average

Valencia

8.30 · 10 matches

Real Madrid

9.70 · 10 matches

Over 7.5

Valencia

50% · 5 of 10 matches

Real Madrid

70% · 7 of 10 matches

Over 8.5

Valencia

50% · 5 of 10 matches

Real Madrid

50% · 5 of 10 matches

Over 9.5

Valencia

50% · 5 of 10 matches

Real Madrid

40% · 4 of 10 matches

Over 10.5

Valencia

20% · 2 of 10 matches

Real Madrid

40% · 4 of 10 matches

Over 11.5

Valencia

20% · 2 of 10 matches

Real Madrid

30% · 3 of 10 matches

Cards

Averages and frequencies

Team average

Valencia

1.80 · 10 matches

Real Madrid

1.67 · 9 matches

Opponent average

Valencia

2.10 · 10 matches

Real Madrid

2.67 · 9 matches

Total average

Valencia

3.90 · 10 matches

Real Madrid

4.33 · 9 matches

Over 2.5

Valencia

90% · 9 of 10 matches

Real Madrid

67% · 6 of 9 matches

Over 3.5

Valencia

70% · 7 of 10 matches

Real Madrid

67% · 6 of 9 matches

Over 4.5

Valencia

30% · 3 of 10 matches

Real Madrid

56% · 5 of 9 matches

Over 5.5

Valencia

0% · 0 of 10 matches

Real Madrid

44% · 4 of 9 matches

Fouls

Match intensity

Committed average

Valencia

10.50 · 10 matches

Real Madrid

8.40 · 10 matches

Opponent average

Valencia

11.60 · 10 matches

Real Madrid

15.20 · 10 matches

Total average

Valencia

22.10 · 10 matches

Real Madrid

23.60 · 10 matches

Shots

Production and concessions

Average shots

Valencia

11.80 · 10 matches

Real Madrid

17.60 · 10 matches

Average shots on target

Valencia

3.40 · 10 matches

Real Madrid

6.90 · 10 matches

Average shots conceded

Valencia

13.20 · 10 matches

Real Madrid

12.00 · 10 matches

Average shots on target conceded

Valencia

4.30 · 10 matches

Real Madrid

4.00 · 10 matches

Average xG

Valencia

0.94 · 9 matches

Real Madrid

2.49 · 9 matches

Average xG against

Valencia

1.41 · 9 matches

Real Madrid

0.87 · 9 matches

Home vs away

Valencia at home × Real Madrid away

Valencia at home

Valencia

23 matches
LLLDWDLWLWWLWDDDWDLLWWD
W
8
D
7
L
8
GF
29
GA
32

Real Madrid away

Real Madrid

23 matches
LWLWWLWDLWLWWWWDDDWLWWW
W
13
D
4
L
6
GF
38
GA
25
Average goals scored

Valencia at home

1.26 · 23 matches

Real Madrid away

1.65 · 23 matches

Average goals conceded

Valencia at home

1.39 · 23 matches

Real Madrid away

1.09 · 23 matches

Over 0.5

Valencia at home

96% · 22 of 23 matches

Real Madrid away

96% · 22 of 23 matches

Over 1.5

Valencia at home

83% · 19 of 23 matches

Real Madrid away

83% · 19 of 23 matches

Over 2.5

Valencia at home

39% · 9 of 23 matches

Real Madrid away

57% · 13 of 23 matches

Over 3.5

Valencia at home

26% · 6 of 23 matches

Real Madrid away

17% · 4 of 23 matches

Both teams scored

Valencia at home

57% · 13 of 23 matches

Real Madrid away

57% · 13 of 23 matches

Clean sheet

Valencia at home

22% · 5 of 23 matches

Real Madrid away

35% · 8 of 23 matches

Failed to score

Valencia at home

26% · 6 of 23 matches

Real Madrid away

13% · 3 of 23 matches

Total corner average

Valencia at home

9.83 · 23 matches

Real Madrid away

10.13 · 23 matches

Over 8.5 corners

Valencia at home

65% · 15 of 23 matches

Real Madrid away

65% · 15 of 23 matches

Total card average

Valencia at home

4.87 · 23 matches

Real Madrid away

4.78 · 23 matches

Players and goalkeepers

Pre-match highlights

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

Real Madrid

Kylian Mbappé

Forward

7.96

7 matches · 630 min

7 goals · 2 assists · 22 of 32 shots on target

J. Bellingham

Midfielder

7.78

7 matches · 529 min

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

Vinícius Júnior

Midfielder

7.01

7 matches · 565 min

1 goals · 3 assists · 6 of 17 shots on target

A. Güler

Midfielder

7.44

7 matches · 353 min

1 goals · 2 assists · 4 of 9 shots on target

Carlos Espí

Forward

5.76

5 matches · 35 min

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

T. Courtois

Goalkeeper

6.78

7 matches · 630 min

21 saves · 6 goals conceded

A. Lunin

Goalkeeper

0.00

1 matches · 0 min

0 saves · 0 goals conceded

H2H

Recent meetings

Valencia 0 × 2 Real Madrid1391047
Real Madrid 4 × 0 Valencia1390925
Average goals
3.00 · 2 matches
Both teams scored
0% · 0 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 away team scoring.

Descriptive analysis based exclusively on available frequencies.