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Barcelona vs Sevilla: statistics and analysis

LA LIGA 2026/27 · PRE-MATCH ANALYSIS

Round 30

· LONDON TIME · Camp Nou · Referee: not provided

Barcelona

Barcelona

1 · 21 pts · 7 P · 7 W · 0 D · 0 L · GD 24

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

61.7%

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

Model factors

  • League average — goals: 2.77

    Weighted average using only matches played before the fixture.

  • Home/away strength: 2.89 × 0.87

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

  • Opponent strength: 1693 × 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: 61.3

    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: 2.46 × 0.83

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

  • Model expected goals: 2.77 × 0.86

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

  • Signal consensus: 45.5

    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 61.7%, medium confidence and a sample of 45 matches per team.

League average — goals: 2.77 (Weighted average using only matches played before the fixture.) Home/away strength: 2.89 × 0.87 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1693 × 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

54.7%

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

Model factors

  • League average — goals: 2.77

    Weighted average using only matches played before the fixture.

  • Home/away strength: 2.89 × 0.87

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

  • Opponent strength: 1693 × 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: 61.3

    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: 2.46 × 0.83

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

  • Model expected goals: 2.77 × 0.86

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

  • Signal consensus: 90.9

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Both teams to score has a model probability of 54.7%, high confidence and a sample of 45 matches per team.

League average — goals: 2.77 (Weighted average using only matches played before the fixture.) Home/away strength: 2.89 × 0.87 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1693 × 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

58.0%

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

Model factors

  • League average — metric: 4.43

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.87 × 2.18

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

  • Opponent strength: 1693 × 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: 67.6

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

  • Sample per team: 44 / 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: 4.05

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

  • Signal consensus: 95.9

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 3.5 yellow cards has a model probability of 58.0%, high confidence and a sample of 44 matches per team.

League average — metric: 4.43 (Weighted average using only matches played before the fixture.) Home/away strength: 1.87 × 2.18 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1693 × 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

84.9%

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

Model factors

  • League average — goals: 2.77

    Weighted average using only matches played before the fixture.

  • Home/away strength: 2.89 × 0.87

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

  • Opponent strength: 1693 × 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: 61.3

    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: 2.46 × 0.83

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

  • Model expected goals: 2.77 × 0.86

    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: 98.2

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance 12 has a model probability of 84.9%, high confidence and a sample of 45 matches per team.

League average — goals: 2.77 (Weighted average using only matches played before the fixture.) Home/away strength: 2.89 × 0.87 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1693 × 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

89.6%

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

Model factors

  • League average — goals: 2.77

    Weighted average using only matches played before the fixture.

  • Home/away strength: 2.89 × 0.87

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

  • Opponent strength: 1693 × 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: 61.3

    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: 2.46 × 0.83

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

  • Model expected goals: 2.77 × 0.86

    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: 18.8

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance 1X has a model probability of 89.6%, medium confidence and a sample of 45 matches per team.

League average — goals: 2.77 (Weighted average using only matches played before the fixture.) Home/away strength: 2.89 × 0.87 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1693 × 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

25.5%

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

Model factors

  • League average — goals: 2.77

    Weighted average using only matches played before the fixture.

  • Home/away strength: 2.89 × 0.87

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

  • Opponent strength: 1693 × 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: 61.3

    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: 2.46 × 0.83

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

  • Model expected goals: 2.77 × 0.86

    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: 20.8

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance X2 has a model probability of 25.5%, medium confidence and a sample of 45 matches per team.

League average — goals: 2.77 (Weighted average using only matches played before the fixture.) Home/away strength: 2.89 × 0.87 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1693 × 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

97.6%

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

Model factors

  • League average — goals: 2.77

    Weighted average using only matches played before the fixture.

  • Home/away strength: 2.89 × 0.87

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

  • Opponent strength: 1693 × 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: 61.3

    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: 2.46 × 0.83

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

  • Model expected goals: 2.77 × 0.86

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

  • Signal consensus: 96.6

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 0.5 goals has a model probability of 97.6%, high confidence and a sample of 45 matches per team.

League average — goals: 2.77 (Weighted average using only matches played before the fixture.) Home/away strength: 2.89 × 0.87 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1693 × 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

86.6%

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

Model factors

  • League average — goals: 2.77

    Weighted average using only matches played before the fixture.

  • Home/away strength: 2.89 × 0.87

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

  • Opponent strength: 1693 × 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: 61.3

    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: 2.46 × 0.83

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

  • Model expected goals: 2.77 × 0.86

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

  • Signal consensus: 84.8

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 1.5 goals has a model probability of 86.6%, high confidence and a sample of 45 matches per team.

League average — goals: 2.77 (Weighted average using only matches played before the fixture.) Home/away strength: 2.89 × 0.87 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1693 × 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

76.7%

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

Model factors

  • League average — goals: 2.77

    Weighted average using only matches played before the fixture.

  • Home/away strength: 2.89 × 0.87

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

  • Opponent strength: 1693 × 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: 61.3

    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: 2.46 × 0.83

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

  • Model expected goals: 2.77 × 0.86

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

  • Signal consensus: 95.4

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

League average — goals: 2.77 (Weighted average using only matches played before the fixture.) Home/away strength: 2.89 × 0.87 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1693 × 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

79.5%

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

Model factors

  • League average — shots: 25.3

    Weighted average using only matches played before the fixture.

  • Home/away strength: 17.08 × 7.93

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

  • Opponent strength: 1693 × 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: 25.01

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

  • Signal consensus: 73.1

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 20.5 shots has a model probability of 79.5%, high confidence and a sample of 45 matches per team.

League average — shots: 25.3 (Weighted average using only matches played before the fixture.) Home/away strength: 17.08 × 7.93 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1693 × 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

83.5%

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

Model factors

  • League average — shots on target: 8.82

    Weighted average using only matches played before the fixture.

  • Home/away strength: 6.90 × 2.78

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

  • Opponent strength: 1693 × 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: 76.4

    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: 9.68

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

  • Signal consensus: 82.8

    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 83.5%, high confidence and a sample of 45 matches per team.

League average — shots on target: 8.82 (Weighted average using only matches played before the fixture.) Home/away strength: 6.90 × 2.78 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1693 × 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

10.4%

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

Model factors

  • League average — goals: 2.77

    Weighted average using only matches played before the fixture.

  • Home/away strength: 2.89 × 0.87

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

  • Opponent strength: 1693 × 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: 61.3

    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: 2.46 × 0.83

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

  • Model expected goals: 2.77 × 0.86

    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: 18.8

    Agreement between the parametric model and the smoothed empirical frequency.

Draw

15.1%

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

Model factors

  • League average — goals: 2.77

    Weighted average using only matches played before the fixture.

  • Home/away strength: 2.89 × 0.87

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

  • Opponent strength: 1693 × 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: 61.3

    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: 2.46 × 0.83

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

  • Model expected goals: 2.77 × 0.86

    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: 98.2

    Agreement between the parametric model and the smoothed empirical frequency.

Home win

74.5%

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

Model factors

  • League average — goals: 2.77

    Weighted average using only matches played before the fixture.

  • Home/away strength: 2.89 × 0.87

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

  • Opponent strength: 1693 × 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: 61.3

    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: 2.46 × 0.83

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

  • Model expected goals: 2.77 × 0.86

    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: 20.8

    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, Barcelona recorded 8 wins, 0 draws and 2 defeats and averaged 3.50 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 Barcelona at home with 22 wins, 0 draws and 0 defeats in 22 matches, averaging 3.23 goals scored and 0.64 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 6 of 10 matches (60%) of Barcelona's sample and 6 of 10 matches (60%) of Sevilla's. Over 2.5 goals occurred in 8 of 10 matches (80%) and 5 of 10 matches (50%), respectively.

Shot volume separates the sides at 18.40 per match for Barcelona and 11.30 for Sevilla. On target, the averages are 7.10 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

Barcelona

5 matches
WWWWW
W
5
D
0
L
0
GF
24
GA
7

Last 5

Sevilla

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

Last 10

Barcelona

10 matches
WWWWWWWLWL
W
8
D
0
L
2
GF
35
GA
12

Last 10

Sevilla

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

Last 20

Barcelona

20 matches
WWWWWWWLWLWWWWWWWWWW
W
18
D
0
L
2
GF
59
GA
18

Last 20

Sevilla

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

Season

Barcelona

45 matches
WWWWWWWLWLWWWWWWWWWWWLWWWLWWWWWWWWWLWLWWWWDWW
W
38
D
1
L
6
GF
126
GA
43

Season

Sevilla

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

Goals

Frequencies across the last 10

Average goals scored

Barcelona

3.50 · 10 matches

Sevilla

1.30 · 10 matches

Average goals conceded

Barcelona

1.20 · 10 matches

Sevilla

1.30 · 10 matches

Over 0.5

Barcelona

100% · 10 of 10 matches

Sevilla

100% · 10 of 10 matches

Over 1.5

Barcelona

90% · 9 of 10 matches

Sevilla

60% · 6 of 10 matches

Over 2.5

Barcelona

80% · 8 of 10 matches

Sevilla

50% · 5 of 10 matches

Over 3.5

Barcelona

80% · 8 of 10 matches

Sevilla

40% · 4 of 10 matches

Both teams scored

Barcelona

60% · 6 of 10 matches

Sevilla

60% · 6 of 10 matches

Clean sheet

Barcelona

30% · 3 of 10 matches

Sevilla

20% · 2 of 10 matches

Failed to score

Barcelona

10% · 1 of 10 matches

Sevilla

20% · 2 of 10 matches

Corners

Volume and observed lines

Average for

Barcelona

7.00 · 10 matches

Sevilla

3.40 · 10 matches

Average against

Barcelona

3.50 · 10 matches

Sevilla

3.90 · 10 matches

Total average

Barcelona

10.50 · 10 matches

Sevilla

7.30 · 10 matches

Over 7.5

Barcelona

70% · 7 of 10 matches

Sevilla

50% · 5 of 10 matches

Over 8.5

Barcelona

60% · 6 of 10 matches

Sevilla

30% · 3 of 10 matches

Over 9.5

Barcelona

60% · 6 of 10 matches

Sevilla

30% · 3 of 10 matches

Over 10.5

Barcelona

40% · 4 of 10 matches

Sevilla

10% · 1 of 10 matches

Over 11.5

Barcelona

40% · 4 of 10 matches

Sevilla

10% · 1 of 10 matches

Cards

Averages and frequencies

Team average

Barcelona

1.30 · 10 matches

Sevilla

2.80 · 10 matches

Opponent average

Barcelona

1.20 · 10 matches

Sevilla

1.80 · 10 matches

Total average

Barcelona

2.50 · 10 matches

Sevilla

4.60 · 10 matches

Over 2.5

Barcelona

50% · 5 of 10 matches

Sevilla

80% · 8 of 10 matches

Over 3.5

Barcelona

30% · 3 of 10 matches

Sevilla

60% · 6 of 10 matches

Over 4.5

Barcelona

10% · 1 of 10 matches

Sevilla

40% · 4 of 10 matches

Over 5.5

Barcelona

0% · 0 of 10 matches

Sevilla

40% · 4 of 10 matches

Fouls

Match intensity

Committed average

Barcelona

9.00 · 10 matches

Sevilla

14.80 · 10 matches

Opponent average

Barcelona

10.40 · 10 matches

Sevilla

13.40 · 10 matches

Total average

Barcelona

19.40 · 10 matches

Sevilla

28.20 · 10 matches

Shots

Production and concessions

Average shots

Barcelona

18.40 · 10 matches

Sevilla

11.30 · 10 matches

Average shots on target

Barcelona

7.10 · 10 matches

Sevilla

4.20 · 10 matches

Average shots conceded

Barcelona

8.60 · 10 matches

Sevilla

10.90 · 10 matches

Average shots on target conceded

Barcelona

3.30 · 10 matches

Sevilla

3.70 · 10 matches

Average xG

Barcelona

2.69 · 8 matches

Sevilla

0.92 · 8 matches

Average xG against

Barcelona

1.04 · 8 matches

Sevilla

1.10 · 8 matches

Home vs away

Barcelona at home × Sevilla away

Barcelona at home

Barcelona

22 matches
WWWWWWWWWWWWWWWWWWWWWW
W
22
D
0
L
0
GF
71
GA
14

Sevilla away

Sevilla

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

Barcelona at home

3.23 · 22 matches

Sevilla away

1.23 · 22 matches

Average goals conceded

Barcelona at home

0.64 · 22 matches

Sevilla away

1.68 · 22 matches

Over 0.5

Barcelona at home

100% · 22 of 22 matches

Sevilla away

100% · 22 of 22 matches

Over 1.5

Barcelona at home

91% · 20 of 22 matches

Sevilla away

77% · 17 of 22 matches

Over 2.5

Barcelona at home

77% · 17 of 22 matches

Sevilla away

55% · 12 of 22 matches

Over 3.5

Barcelona at home

50% · 11 of 22 matches

Sevilla away

32% · 7 of 22 matches

Both teams scored

Barcelona at home

50% · 11 of 22 matches

Sevilla away

59% · 13 of 22 matches

Clean sheet

Barcelona at home

50% · 11 of 22 matches

Sevilla away

18% · 4 of 22 matches

Failed to score

Barcelona at home

0% · 0 of 22 matches

Sevilla away

23% · 5 of 22 matches

Total corner average

Barcelona at home

11.82 · 22 matches

Sevilla away

10.14 · 22 matches

Over 8.5 corners

Barcelona at home

82% · 18 of 22 matches

Sevilla away

59% · 13 of 22 matches

Total card average

Barcelona at home

3.43 · 21 matches

Sevilla away

4.86 · 22 matches

Players and goalkeepers

Pre-match highlights

Barcelona

Raphinha

Forward

8.49

7 matches · 555 min

12 goals · 3 assists · 16 of 21 shots on target

Lamine Yamal

Forward

8.48

7 matches · 581 min

7 goals · 4 assists · 14 of 32 shots on target

Fermín

Midfielder

6.51

7 matches · 447 min

4 goals · 2 assists · 8 of 9 shots on target

K. Adeyemi

Forward

7.12

7 matches · 242 min

2 goals · 2 assists · 7 of 15 shots on target

A. Gordon

Forward

5.91

7 matches · 397 min

0 goals · 4 assists · 4 of 10 shots on target

Joan García

Goalkeeper

7.00

6 matches · 495 min

11 saves · 4 goals conceded

D. Livaković

Goalkeeper

3.60

2 matches · 90 min

2 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 × 3 Barcelona1570400
Barcelona 5 × 2 Sevilla1391091
Sevilla 4 × 1 Barcelona1390898
Average goals
5.33 · 3 matches
Both teams scored
100% · 3 of 3 matches
Over 2.5
100% · 3 of 3 matches

H2H corners: 8.00 · 3 matches

Combined view

Data convergences

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

Descriptive analysis based exclusively on available frequencies.