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Valencia vs Sevilla: statistics and analysis

LA LIGA 2026/27 · PRE-MATCH ANALYSIS

Round 21

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

Valencia

Valencia

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

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

75.6%

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: 1.18 × 1.50

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

  • Opponent strength: 1471 × 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: 60.8

    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: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 1.31 × 1.04

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

  • Model expected goals: 1.22 × 1.37

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

  • Signal consensus: 88.5

    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 75.6%, 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: 1.18 × 1.50 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1471 × 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

53.3%

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: 1.18 × 1.50

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

  • Opponent strength: 1471 × 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: 60.8

    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: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 1.31 × 1.04

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

  • Model expected goals: 1.22 × 1.37

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

  • Signal consensus: 90.6

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Both teams to score has a model probability of 53.3%, 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: 1.18 × 1.50 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1471 × 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

67.0%

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: 1.84 × 2.78

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

  • Opponent strength: 1471 × 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: 4.62

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

  • Signal consensus: 90

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 3.5 yellow cards has a model probability of 67.0%, 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: 1.84 × 2.78 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1471 × 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

73.2%

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: 1.18 × 1.50

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

  • Opponent strength: 1471 × 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: 60.8

    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: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 1.31 × 1.04

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

  • Model expected goals: 1.22 × 1.37

    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: 80.8

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance 12 has a model probability of 73.2%, 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: 1.18 × 1.50 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1471 × 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

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: 1.18 × 1.50

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

  • Opponent strength: 1471 × 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: 60.8

    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: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 1.31 × 1.04

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

  • Model expected goals: 1.22 × 1.37

    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: 85.5

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance 1X 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: 1.18 × 1.50 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1471 × 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

66.9%

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: 1.18 × 1.50

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

  • Opponent strength: 1471 × 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: 60.8

    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: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 1.31 × 1.04

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

  • Model expected goals: 1.22 × 1.37

    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: 66.1

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance X2 has a model probability of 66.9%, 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: 1.18 × 1.50 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1471 × 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

93.3%

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: 1.18 × 1.50

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

  • Opponent strength: 1471 × 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: 60.8

    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: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 1.31 × 1.04

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

  • Model expected goals: 1.22 × 1.37

    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

Over 0.5 goals has a model probability of 93.3%, 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: 1.18 × 1.50 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1471 × 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

73.4%

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: 1.18 × 1.50

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

  • Opponent strength: 1471 × 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: 60.8

    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: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 1.31 × 1.04

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

  • Model expected goals: 1.22 × 1.37

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

  • Signal consensus: 95.9

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 1.5 goals has a model probability of 73.4%, 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: 1.18 × 1.50 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1471 × 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

32.7%

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: 1.18 × 1.50

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

  • Opponent strength: 1471 × 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: 60.8

    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: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 1.31 × 1.04

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

  • Model expected goals: 1.22 × 1.37

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

  • Signal consensus: 78.8

    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 32.7%, 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: 1.18 × 1.50 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1471 × 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

67.0%

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

Model factors

  • League average — shots: 25.41

    Weighted average using only matches played before the fixture.

  • Home/away strength: 10.85 × 11.79

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

  • Opponent strength: 1471 × 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: 83.7

    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: 22.65

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

  • Signal consensus: 91.7

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 20.5 shots has a model probability of 67.0%, high confidence and a sample of 45 matches per team.

League average — shots: 25.41 (Weighted average using only matches played before the fixture.) Home/away strength: 10.85 × 11.79 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1471 × 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

61.1%

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

Model factors

  • League average — shots on target: 8.88

    Weighted average using only matches played before the fixture.

  • Home/away strength: 3.40 × 3.92

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

  • Opponent strength: 1471 × 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: 76.3

    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: 7.33

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

  • Signal consensus: 82

    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 61.1%, high confidence and a sample of 45 matches per team.

League average — shots on target: 8.88 (Weighted average using only matches played before the fixture.) Home/away strength: 3.40 × 3.92 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1471 × 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

40.1%

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: 1.18 × 1.50

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

  • Opponent strength: 1471 × 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: 60.8

    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: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 1.31 × 1.04

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

  • Model expected goals: 1.22 × 1.37

    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: 85.5

    Agreement between the parametric model and the smoothed empirical frequency.

Draw

26.8%

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: 1.18 × 1.50

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

  • Opponent strength: 1471 × 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: 60.8

    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: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 1.31 × 1.04

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

  • Model expected goals: 1.22 × 1.37

    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: 80.8

    Agreement between the parametric model and the smoothed empirical frequency.

Home win

33.1%

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: 1.18 × 1.50

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

  • Opponent strength: 1471 × 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: 60.8

    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: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 1.31 × 1.04

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

  • Model expected goals: 1.22 × 1.37

    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: 66.1

    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. Sevilla's 10-match sample contains 5 wins, 1 draw and 4 defeats, with 1.30 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, 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 5 of 10 matches (50%) of Valencia's sample and 6 of 10 matches (60%) of Sevilla's. Over 2.5 goals occurred in 5 of 10 matches (50%) and 5 of 10 matches (50%), respectively.

Shot volume separates the sides at 11.80 per match for Valencia and 11.30 for Sevilla. On target, the averages are 3.40 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

Valencia

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

Last 5

Sevilla

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

Last 10

Valencia

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

Last 10

Sevilla

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

Last 20

Valencia

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

Last 20

Sevilla

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

Season

Valencia

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

Season

Sevilla

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

Goals

Frequencies across the last 10

Average goals scored

Valencia

1.20 · 10 matches

Sevilla

1.30 · 10 matches

Average goals conceded

Valencia

1.80 · 10 matches

Sevilla

1.30 · 10 matches

Over 0.5

Valencia

90% · 9 of 10 matches

Sevilla

100% · 10 of 10 matches

Over 1.5

Valencia

60% · 6 of 10 matches

Sevilla

60% · 6 of 10 matches

Over 2.5

Valencia

50% · 5 of 10 matches

Sevilla

50% · 5 of 10 matches

Over 3.5

Valencia

50% · 5 of 10 matches

Sevilla

40% · 4 of 10 matches

Both teams scored

Valencia

50% · 5 of 10 matches

Sevilla

60% · 6 of 10 matches

Clean sheet

Valencia

20% · 2 of 10 matches

Sevilla

20% · 2 of 10 matches

Failed to score

Valencia

40% · 4 of 10 matches

Sevilla

20% · 2 of 10 matches

Corners

Volume and observed lines

Average for

Valencia

4.50 · 10 matches

Sevilla

3.40 · 10 matches

Average against

Valencia

3.80 · 10 matches

Sevilla

3.90 · 10 matches

Total average

Valencia

8.30 · 10 matches

Sevilla

7.30 · 10 matches

Over 7.5

Valencia

50% · 5 of 10 matches

Sevilla

50% · 5 of 10 matches

Over 8.5

Valencia

50% · 5 of 10 matches

Sevilla

30% · 3 of 10 matches

Over 9.5

Valencia

50% · 5 of 10 matches

Sevilla

30% · 3 of 10 matches

Over 10.5

Valencia

20% · 2 of 10 matches

Sevilla

10% · 1 of 10 matches

Over 11.5

Valencia

20% · 2 of 10 matches

Sevilla

10% · 1 of 10 matches

Cards

Averages and frequencies

Team average

Valencia

1.80 · 10 matches

Sevilla

2.80 · 10 matches

Opponent average

Valencia

2.10 · 10 matches

Sevilla

1.80 · 10 matches

Total average

Valencia

3.90 · 10 matches

Sevilla

4.60 · 10 matches

Over 2.5

Valencia

90% · 9 of 10 matches

Sevilla

80% · 8 of 10 matches

Over 3.5

Valencia

70% · 7 of 10 matches

Sevilla

60% · 6 of 10 matches

Over 4.5

Valencia

30% · 3 of 10 matches

Sevilla

40% · 4 of 10 matches

Over 5.5

Valencia

0% · 0 of 10 matches

Sevilla

40% · 4 of 10 matches

Fouls

Match intensity

Committed average

Valencia

10.50 · 10 matches

Sevilla

14.80 · 10 matches

Opponent average

Valencia

11.60 · 10 matches

Sevilla

13.40 · 10 matches

Total average

Valencia

22.10 · 10 matches

Sevilla

28.20 · 10 matches

Shots

Production and concessions

Average shots

Valencia

11.80 · 10 matches

Sevilla

11.30 · 10 matches

Average shots on target

Valencia

3.40 · 10 matches

Sevilla

4.20 · 10 matches

Average shots conceded

Valencia

13.20 · 10 matches

Sevilla

10.90 · 10 matches

Average shots on target conceded

Valencia

4.30 · 10 matches

Sevilla

3.70 · 10 matches

Average xG

Valencia

0.94 · 9 matches

Sevilla

0.92 · 8 matches

Average xG against

Valencia

1.41 · 9 matches

Sevilla

1.10 · 8 matches

Home vs away

Valencia at home × Sevilla away

Valencia at home

Valencia

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

Sevilla away

Sevilla

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

Valencia at home

1.26 · 23 matches

Sevilla away

1.23 · 22 matches

Average goals conceded

Valencia at home

1.39 · 23 matches

Sevilla away

1.68 · 22 matches

Over 0.5

Valencia at home

96% · 22 of 23 matches

Sevilla away

100% · 22 of 22 matches

Over 1.5

Valencia at home

83% · 19 of 23 matches

Sevilla away

77% · 17 of 22 matches

Over 2.5

Valencia at home

39% · 9 of 23 matches

Sevilla away

55% · 12 of 22 matches

Over 3.5

Valencia at home

26% · 6 of 23 matches

Sevilla away

32% · 7 of 22 matches

Both teams scored

Valencia at home

57% · 13 of 23 matches

Sevilla away

59% · 13 of 22 matches

Clean sheet

Valencia at home

22% · 5 of 23 matches

Sevilla away

18% · 4 of 22 matches

Failed to score

Valencia at home

26% · 6 of 23 matches

Sevilla away

23% · 5 of 22 matches

Total corner average

Valencia at home

9.83 · 23 matches

Sevilla away

10.14 · 22 matches

Over 8.5 corners

Valencia at home

65% · 15 of 23 matches

Sevilla away

59% · 13 of 22 matches

Total card average

Valencia at home

4.87 · 23 matches

Sevilla away

4.86 · 22 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

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

Sevilla 1 × 0 Valencia1570381
Sevilla 0 × 2 Valencia1391107
Valencia 1 × 1 Sevilla1390967
Average goals
1.67 · 3 matches
Both teams scored
33% · 1 of 3 matches
Over 2.5
0% · 0 of 3 matches

H2H corners: 6.00 · 3 matches

Combined view

Data convergences

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

Descriptive analysis based exclusively on available frequencies.