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Sevilla vs Levante: statistics and analysis

LA LIGA 2026/27 · PRE-MATCH ANALYSIS

Round 33

· LONDON TIME · Stadium not provided · Referee: not provided

Sevilla

Sevilla

5 · 13 pts · 7 P · 4 W · 1 D · 2 L · GD 1

VSLevante

Levante

17 · 5 pts · 6 P · 1 W · 2 D · 3 L · GD -4

Statistical engine · radaronze-v1

RadarOnze analysis

Probabilities calculated in advance. The explanatory layer organises existing factors and does not change the model’s numbers.

View in the Betting Centre

Away team to score 1+ goals

71.2%

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

Model factors

  • League average — goals: 2.77

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.42 × 1.29

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

  • Opponent strength: 1486 × 1467

    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: 61.4

    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: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 1.31 × 1.31

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

  • Model expected goals: 1.39 × 1.29

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

  • Signal consensus: 80.9

    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 71.2%, high confidence and a sample of 44 matches per team.

League average — goals: 2.77 (Weighted average using only matches played before the fixture.) Home/away strength: 1.42 × 1.29 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1486 × 1467 (Chronological Elo adjustment with no future matches used.)

No current market price is available for this signal.

The explanation organises results that have already been calculated; it does not change probabilities, odds, edge, EV, confidence or value classification.

Both teams to score

55.0%

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

Model factors

  • League average — goals: 2.77

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.42 × 1.29

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

  • Opponent strength: 1486 × 1467

    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: 61.4

    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: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 1.31 × 1.31

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

  • Model expected goals: 1.39 × 1.29

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

  • Signal consensus: 94.3

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Both teams to score has a model probability of 55.0%, high confidence and a sample of 44 matches per team.

League average — goals: 2.77 (Weighted average using only matches played before the fixture.) Home/away strength: 1.42 × 1.29 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1486 × 1467 (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

69.3%

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

Model factors

  • League average — metric: 4.44

    Weighted average using only matches played before the fixture.

  • Home/away strength: 2.83 × 2.01

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

  • Opponent strength: 1486 × 1467

    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: 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: 4.84

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

  • Signal consensus: 74.2

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 3.5 yellow cards has a model probability of 69.3%, medium confidence and a sample of 44 matches per team.

League average — metric: 4.44 (Weighted average using only matches played before the fixture.) Home/away strength: 2.83 × 2.01 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1486 × 1467 (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

73.7%

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

Model factors

  • League average — goals: 2.77

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.42 × 1.29

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

  • Opponent strength: 1486 × 1467

    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: 61.4

    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: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 1.31 × 1.31

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

  • Model expected goals: 1.39 × 1.29

    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: 87.9

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance 12 has a model probability of 73.7%, high confidence and a sample of 44 matches per team.

League average — goals: 2.77 (Weighted average using only matches played before the fixture.) Home/away strength: 1.42 × 1.29 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1486 × 1467 (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

65.3%

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

Model factors

  • League average — goals: 2.77

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.42 × 1.29

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

  • Opponent strength: 1486 × 1467

    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: 61.4

    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: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 1.31 × 1.31

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

  • Model expected goals: 1.39 × 1.29

    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: 87.6

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance 1X has a model probability of 65.3%, high confidence and a sample of 44 matches per team.

League average — goals: 2.77 (Weighted average using only matches played before the fixture.) Home/away strength: 1.42 × 1.29 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1486 × 1467 (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

61.0%

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

Model factors

  • League average — goals: 2.77

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.42 × 1.29

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

  • Opponent strength: 1486 × 1467

    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: 61.4

    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: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 1.31 × 1.31

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

  • Model expected goals: 1.39 × 1.29

    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: 75.4

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance X2 has a model probability of 61.0%, medium confidence and a sample of 44 matches per team.

League average — goals: 2.77 (Weighted average using only matches played before the fixture.) Home/away strength: 1.42 × 1.29 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1486 × 1467 (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

93.6%

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

Model factors

  • League average — goals: 2.77

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.42 × 1.29

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

  • Opponent strength: 1486 × 1467

    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: 61.4

    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: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 1.31 × 1.31

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

  • Model expected goals: 1.39 × 1.29

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

  • Signal consensus: 94.9

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 0.5 goals has a model probability of 93.6%, high confidence and a sample of 44 matches per team.

League average — goals: 2.77 (Weighted average using only matches played before the fixture.) Home/away strength: 1.42 × 1.29 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1486 × 1467 (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

75.7%

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

Model factors

  • League average — goals: 2.77

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.42 × 1.29

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

  • Opponent strength: 1486 × 1467

    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: 61.4

    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: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 1.31 × 1.31

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

  • Model expected goals: 1.39 × 1.29

    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

Over 1.5 goals has a model probability of 75.7%, high confidence and a sample of 44 matches per team.

League average — goals: 2.77 (Weighted average using only matches played before the fixture.) Home/away strength: 1.42 × 1.29 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1486 × 1467 (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

39.1%

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

Model factors

  • League average — goals: 2.77

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.42 × 1.29

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

  • Opponent strength: 1486 × 1467

    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: 61.4

    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: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 1.31 × 1.31

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

  • Model expected goals: 1.39 × 1.29

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

  • Signal consensus: 80.6

    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 39.1%, high confidence and a sample of 44 matches per team.

League average — goals: 2.77 (Weighted average using only matches played before the fixture.) Home/away strength: 1.42 × 1.29 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1486 × 1467 (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

76.1%

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

Model factors

  • League average — shots: 25.27

    Weighted average using only matches played before the fixture.

  • Home/away strength: 13.71 × 10.45

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

  • Opponent strength: 1486 × 1467

    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 / 44

    Valid home-team and away-team matches available before kick-off.

  • Historical coverage: 100.0%

    Share of previous matches with complete data for this market.

  • Model expected shots: 24.16

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

  • Signal consensus: 92.5

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 20.5 shots has a model probability of 76.1%, high confidence and a sample of 44 matches per team.

League average — shots: 25.27 (Weighted average using only matches played before the fixture.) Home/away strength: 13.71 × 10.45 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1486 × 1467 (Chronological Elo adjustment with no future matches used.)

No current market price is available for this signal.

The explanation organises results that have already been calculated; it does not change probabilities, odds, edge, EV, confidence or value classification.

Over 6.5 shots on target

71.3%

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

Model factors

  • League average — shots on target: 8.81

    Weighted average using only matches played before the fixture.

  • Home/away strength: 4.52 × 3.64

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

  • Opponent strength: 1486 × 1467

    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: 76.5

    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: 100.0%

    Share of previous matches with complete data for this market.

  • Model expected shots on target: 8.16

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

  • Signal consensus: 90.6

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 6.5 shots on target has a model probability of 71.3%, high confidence and a sample of 44 matches per team.

League average — shots on target: 8.81 (Weighted average using only matches played before the fixture.) Home/away strength: 4.52 × 3.64 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1486 × 1467 (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

34.7%

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

Model factors

  • League average — goals: 2.77

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.42 × 1.29

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

  • Opponent strength: 1486 × 1467

    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: 61.4

    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: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 1.31 × 1.31

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

  • Model expected goals: 1.39 × 1.29

    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: 87.6

    Agreement between the parametric model and the smoothed empirical frequency.

Draw

26.3%

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

Model factors

  • League average — goals: 2.77

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.42 × 1.29

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

  • Opponent strength: 1486 × 1467

    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: 61.4

    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: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 1.31 × 1.31

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

  • Model expected goals: 1.39 × 1.29

    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: 87.9

    Agreement between the parametric model and the smoothed empirical frequency.

Home win

39.0%

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

Model factors

  • League average — goals: 2.77

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.42 × 1.29

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

  • Opponent strength: 1486 × 1467

    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: 61.4

    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: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 1.31 × 1.31

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

  • Model expected goals: 1.39 × 1.29

    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: 75.4

    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, Sevilla recorded 5 wins, 1 draw and 4 defeats and averaged 1.30 goals scored per match. Levante's 10-match sample contains 4 wins, 2 draws and 4 defeats, with 1.70 goals scored per match.

The venue split shows Sevilla at home with 9 wins, 4 draws and 10 defeats in 23 matches, averaging 1.26 goals scored and 1.39 goals conceded. Away from home, Levante has 4 wins, 6 draws and 13 defeats in 23 matches, with 0.96 goals scored and 1.70 goals conceded.

Both teams scored in 6 of 10 matches (60%) of Sevilla's sample and 6 of 10 matches (60%) of Levante'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 11.30 per match for Sevilla and 14.30 for Levante. On target, the averages are 4.20 and 5.00, 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

Sevilla

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

Last 5

Levante

5 matches
LLDWD
W
1
D
2
L
2
GF
8
GA
9

Last 10

Sevilla

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

Last 10

Levante

10 matches
LLDWDLLWWW
W
4
D
2
L
4
GF
17
GA
18

Last 20

Sevilla

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

Last 20

Levante

20 matches
LLDWDLLWWWLDWWLWDDWL
W
8
D
5
L
7
GF
29
GA
32

Season

Sevilla

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

Season

Levante

44 matches
LLDWDLLWWWLDWWLWDDWLLLLDWLDWDLLLLLDLWDLWDLLL
W
12
D
11
L
21
GF
55
GA
73

Goals

Frequencies across the last 10

Average goals scored

Sevilla

1.30 · 10 matches

Levante

1.70 · 10 matches

Average goals conceded

Sevilla

1.30 · 10 matches

Levante

1.80 · 10 matches

Over 0.5

Sevilla

100% · 10 of 10 matches

Levante

80% · 8 of 10 matches

Over 1.5

Sevilla

60% · 6 of 10 matches

Levante

80% · 8 of 10 matches

Over 2.5

Sevilla

50% · 5 of 10 matches

Levante

70% · 7 of 10 matches

Over 3.5

Sevilla

40% · 4 of 10 matches

Levante

50% · 5 of 10 matches

Both teams scored

Sevilla

60% · 6 of 10 matches

Levante

60% · 6 of 10 matches

Clean sheet

Sevilla

20% · 2 of 10 matches

Levante

30% · 3 of 10 matches

Failed to score

Sevilla

20% · 2 of 10 matches

Levante

30% · 3 of 10 matches

Corners

Volume and observed lines

Average for

Sevilla

3.40 · 10 matches

Levante

4.90 · 10 matches

Average against

Sevilla

3.90 · 10 matches

Levante

5.00 · 10 matches

Total average

Sevilla

7.30 · 10 matches

Levante

9.90 · 10 matches

Over 7.5

Sevilla

50% · 5 of 10 matches

Levante

90% · 9 of 10 matches

Over 8.5

Sevilla

30% · 3 of 10 matches

Levante

60% · 6 of 10 matches

Over 9.5

Sevilla

30% · 3 of 10 matches

Levante

60% · 6 of 10 matches

Over 10.5

Sevilla

10% · 1 of 10 matches

Levante

40% · 4 of 10 matches

Over 11.5

Sevilla

10% · 1 of 10 matches

Levante

40% · 4 of 10 matches

Cards

Averages and frequencies

Team average

Sevilla

2.80 · 10 matches

Levante

1.50 · 10 matches

Opponent average

Sevilla

1.80 · 10 matches

Levante

1.60 · 10 matches

Total average

Sevilla

4.60 · 10 matches

Levante

3.10 · 10 matches

Over 2.5

Sevilla

80% · 8 of 10 matches

Levante

60% · 6 of 10 matches

Over 3.5

Sevilla

60% · 6 of 10 matches

Levante

20% · 2 of 10 matches

Over 4.5

Sevilla

40% · 4 of 10 matches

Levante

20% · 2 of 10 matches

Over 5.5

Sevilla

40% · 4 of 10 matches

Levante

10% · 1 of 10 matches

Fouls

Match intensity

Committed average

Sevilla

14.80 · 10 matches

Levante

9.90 · 10 matches

Opponent average

Sevilla

13.40 · 10 matches

Levante

11.40 · 10 matches

Total average

Sevilla

28.20 · 10 matches

Levante

21.30 · 10 matches

Shots

Production and concessions

Average shots

Sevilla

11.30 · 10 matches

Levante

14.30 · 10 matches

Average shots on target

Sevilla

4.20 · 10 matches

Levante

5.00 · 10 matches

Average shots conceded

Sevilla

10.90 · 10 matches

Levante

13.30 · 10 matches

Average shots on target conceded

Sevilla

3.70 · 10 matches

Levante

5.50 · 10 matches

Average xG

Sevilla

0.92 · 8 matches

Levante

1.89 · 9 matches

Average xG against

Sevilla

1.10 · 8 matches

Levante

1.43 · 9 matches

Home vs away

Sevilla at home × Levante away

Sevilla at home

Sevilla

23 matches
LWLWLWWWLDDDWLLWLWLWLDL
W
9
D
4
L
10
GF
29
GA
32

Levante away

Levante

23 matches
LDDLLWLDLDLLLWLLLDWDWLL
W
4
D
6
L
13
GF
22
GA
39
Average goals scored

Sevilla at home

1.26 · 23 matches

Levante away

0.96 · 23 matches

Average goals conceded

Sevilla at home

1.39 · 23 matches

Levante away

1.70 · 23 matches

Over 0.5

Sevilla at home

100% · 23 of 23 matches

Levante away

87% · 20 of 23 matches

Over 1.5

Sevilla at home

78% · 18 of 23 matches

Levante away

83% · 19 of 23 matches

Over 2.5

Sevilla at home

57% · 13 of 23 matches

Levante away

48% · 11 of 23 matches

Over 3.5

Sevilla at home

26% · 6 of 23 matches

Levante away

26% · 6 of 23 matches

Both teams scored

Sevilla at home

61% · 14 of 23 matches

Levante away

43% · 10 of 23 matches

Clean sheet

Sevilla at home

17% · 4 of 23 matches

Levante away

26% · 6 of 23 matches

Failed to score

Sevilla at home

22% · 5 of 23 matches

Levante away

43% · 10 of 23 matches

Total corner average

Sevilla at home

7.83 · 23 matches

Levante away

10.00 · 23 matches

Over 8.5 corners

Sevilla at home

39% · 9 of 23 matches

Levante away

52% · 12 of 23 matches

Total card average

Sevilla at home

5.48 · 23 matches

Levante away

4.61 · 23 matches

Players and goalkeepers

Pre-match highlights

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

Levante

Brugui

Midfielder

6.91

5 matches · 444 min

3 goals · 0 assists · 5 of 11 shots on target

Iván Romero

Forward

6.90

6 matches · 379 min

2 goals · 0 assists · 7 of 13 shots on target

Jon Ander Olasagasti

Midfielder

6.84

6 matches · 505 min

1 goals · 1 assists · 3 of 5 shots on target

E. Bardeli

Midfielder

6.67

6 matches · 380 min

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

Dela

Centre-back

7.01

6 matches · 521 min

1 goals · 0 assists · 2 of 5 shots on target

M. Ryan

Goalkeeper

7.05

6 matches · 540 min

22 saves · 9 goals conceded

Pablo Cuñat

Goalkeeper

0.00

1 matches · 0 min

0 saves · 0 goals conceded

H2H

Recent meetings

Levante 2 × 0 Sevilla1391143
Sevilla 0 × 3 Levante1390998
Average goals
2.50 · 2 matches
Both teams scored
0% · 0 of 2 matches
Over 2.5
50% · 1 of 2 matches

H2H corners: 7.50 · 2 matches

Combined view

Data convergences

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

Descriptive analysis based exclusively on available frequencies.