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Sevilla vs Elche: statistics and analysis

LA LIGA 2026/27 · PRE-MATCH ANALYSIS

Round 29

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

Sevilla

Sevilla

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

VSElche

Elche

18 · 5 pts · 7 P · 1 W · 2 D · 4 L · GD -6

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

75.4%

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

Model factors

  • League average — goals: 2.78

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.51 × 1.39

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

  • Opponent strength: 1486 × 1453

    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: 61.2

    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: 1.39 × 1.08

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

  • Model expected goals: 1.48 × 1.30

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

  • Signal consensus: 64.6

    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 75.4%, medium confidence and a sample of 45 matches per team.

League average — goals: 2.78 (Weighted average using only matches played before the fixture.) Home/away strength: 1.51 × 1.39 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1486 × 1453 (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

57.7%

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

Model factors

  • League average — goals: 2.78

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.51 × 1.39

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

  • Opponent strength: 1486 × 1453

    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: 61.2

    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: 1.39 × 1.08

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

  • Model expected goals: 1.48 × 1.30

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

  • Signal consensus: 79.2

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Both teams to score has a model probability of 57.7%, high confidence and a sample of 45 matches per team.

League average — goals: 2.78 (Weighted average using only matches played before the fixture.) Home/away strength: 1.51 × 1.39 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1486 × 1453 (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

70.2%

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

Model factors

  • League average — metric: 4.43

    Weighted average using only matches played before the fixture.

  • Home/away strength: 2.72 × 2.11

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

  • Opponent strength: 1486 × 1453

    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: 67.7

    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: 98.7%

    Share of previous matches with complete data for this market.

  • Model expected metric: 4.83

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

  • Signal consensus: 88.4

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 3.5 yellow cards has a model probability of 70.2%, high confidence and a sample of 45 matches per team.

League average — metric: 4.43 (Weighted average using only matches played before the fixture.) Home/away strength: 2.72 × 2.11 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1486 × 1453 (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

74.2%

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

Model factors

  • League average — goals: 2.78

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.51 × 1.39

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

  • Opponent strength: 1486 × 1453

    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: 61.2

    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: 1.39 × 1.08

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

  • Model expected goals: 1.48 × 1.30

    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: 93.7

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance 12 has a model probability of 74.2%, high confidence and a sample of 45 matches per team.

League average — goals: 2.78 (Weighted average using only matches played before the fixture.) Home/away strength: 1.51 × 1.39 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1486 × 1453 (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

66.7%

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

Model factors

  • League average — goals: 2.78

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.51 × 1.39

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

  • Opponent strength: 1486 × 1453

    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: 61.2

    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: 1.39 × 1.08

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

  • Model expected goals: 1.48 × 1.30

    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: 86.4

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance 1X has a model probability of 66.7%, high confidence and a sample of 45 matches per team.

League average — goals: 2.78 (Weighted average using only matches played before the fixture.) Home/away strength: 1.51 × 1.39 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1486 × 1453 (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

59.1%

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

Model factors

  • League average — goals: 2.78

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.51 × 1.39

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

  • Opponent strength: 1486 × 1453

    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: 61.2

    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: 1.39 × 1.08

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

  • Model expected goals: 1.48 × 1.30

    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: 79.9

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance X2 has a model probability of 59.1%, medium confidence and a sample of 45 matches per team.

League average — goals: 2.78 (Weighted average using only matches played before the fixture.) Home/away strength: 1.51 × 1.39 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1486 × 1453 (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

94.5%

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

Model factors

  • League average — goals: 2.78

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.51 × 1.39

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

  • Opponent strength: 1486 × 1453

    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: 61.2

    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: 1.39 × 1.08

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

  • Model expected goals: 1.48 × 1.30

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

  • Signal consensus: 91

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 0.5 goals has a model probability of 94.5%, high confidence and a sample of 45 matches per team.

League average — goals: 2.78 (Weighted average using only matches played before the fixture.) Home/away strength: 1.51 × 1.39 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1486 × 1453 (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

77.1%

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

Model factors

  • League average — goals: 2.78

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.51 × 1.39

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

  • Opponent strength: 1486 × 1453

    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: 61.2

    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: 1.39 × 1.08

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

  • Model expected goals: 1.48 × 1.30

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

  • Signal consensus: 92.6

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 1.5 goals has a model probability of 77.1%, high confidence and a sample of 45 matches per team.

League average — goals: 2.78 (Weighted average using only matches played before the fixture.) Home/away strength: 1.51 × 1.39 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1486 × 1453 (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

41.4%

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

Model factors

  • League average — goals: 2.78

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.51 × 1.39

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

  • Opponent strength: 1486 × 1453

    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: 61.2

    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: 1.39 × 1.08

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

  • Model expected goals: 1.48 × 1.30

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

  • Signal consensus: 72.4

    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 41.4%, medium confidence and a sample of 45 matches per team.

League average — goals: 2.78 (Weighted average using only matches played before the fixture.) Home/away strength: 1.51 × 1.39 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1486 × 1453 (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

68.9%

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

Model factors

  • League average — shots: 25.32

    Weighted average using only matches played before the fixture.

  • Home/away strength: 13.47 × 9.53

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

  • Opponent strength: 1486 × 1453

    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: 23.00

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

  • Signal consensus: 98.5

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 20.5 shots has a model probability of 68.9%, high confidence and a sample of 45 matches per team.

League average — shots: 25.32 (Weighted average using only matches played before the fixture.) Home/away strength: 13.47 × 9.53 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1486 × 1453 (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

70.3%

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

Model factors

  • League average — shots on target: 8.83

    Weighted average using only matches played before the fixture.

  • Home/away strength: 4.32 × 3.71

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

  • Opponent strength: 1486 × 1453

    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: 8.03

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

  • Signal consensus: 83.3

    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 70.3%, high confidence and a sample of 45 matches per team.

League average — shots on target: 8.83 (Weighted average using only matches played before the fixture.) Home/away strength: 4.32 × 3.71 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1486 × 1453 (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

33.3%

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

Model factors

  • League average — goals: 2.78

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.51 × 1.39

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

  • Opponent strength: 1486 × 1453

    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: 61.2

    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: 1.39 × 1.08

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

  • Model expected goals: 1.48 × 1.30

    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: 86.4

    Agreement between the parametric model and the smoothed empirical frequency.

Draw

25.8%

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

Model factors

  • League average — goals: 2.78

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.51 × 1.39

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

  • Opponent strength: 1486 × 1453

    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: 61.2

    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: 1.39 × 1.08

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

  • Model expected goals: 1.48 × 1.30

    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: 93.7

    Agreement between the parametric model and the smoothed empirical frequency.

Home win

40.9%

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

Model factors

  • League average — goals: 2.78

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.51 × 1.39

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

  • Opponent strength: 1486 × 1453

    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: 61.2

    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: 1.39 × 1.08

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

  • Model expected goals: 1.48 × 1.30

    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: 79.9

    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. Elche's 10-match sample contains 2 wins, 3 draws and 5 defeats, with 1.40 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, Elche has 2 wins, 7 draws and 14 defeats in 23 matches, with 1.13 goals scored and 1.91 goals conceded.

Both teams scored in 6 of 10 matches (60%) of Sevilla's sample and 8 of 10 matches (80%) of Elche's. Over 2.5 goals occurred in 5 of 10 matches (50%) and 6 of 10 matches (60%), respectively.

Shot volume separates the sides at 11.30 per match for Sevilla and 10.00 for Elche. On target, the averages are 4.20 and 4.10, 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

Elche

5 matches
WLDLL
W
1
D
1
L
3
GF
10
GA
11

Last 10

Sevilla

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

Last 10

Elche

10 matches
WLDLLLDDWL
W
2
D
3
L
5
GF
14
GA
20

Last 20

Sevilla

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

Last 20

Elche

20 matches
WLDLLLDDWLDLWWWLWLLD
W
6
D
5
L
9
GF
28
GA
37

Season

Sevilla

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

Season

Elche

45 matches
WLDLLLDDWLDLWWWLWLLDLDLLLDDLWLWLDDLLDLWDWDWDD
W
11
D
15
L
19
GF
60
GA
74

Goals

Frequencies across the last 10

Average goals scored

Sevilla

1.30 · 10 matches

Elche

1.40 · 10 matches

Average goals conceded

Sevilla

1.30 · 10 matches

Elche

2.00 · 10 matches

Over 0.5

Sevilla

100% · 10 of 10 matches

Elche

100% · 10 of 10 matches

Over 1.5

Sevilla

60% · 6 of 10 matches

Elche

90% · 9 of 10 matches

Over 2.5

Sevilla

50% · 5 of 10 matches

Elche

60% · 6 of 10 matches

Over 3.5

Sevilla

40% · 4 of 10 matches

Elche

50% · 5 of 10 matches

Both teams scored

Sevilla

60% · 6 of 10 matches

Elche

80% · 8 of 10 matches

Clean sheet

Sevilla

20% · 2 of 10 matches

Elche

10% · 1 of 10 matches

Failed to score

Sevilla

20% · 2 of 10 matches

Elche

10% · 1 of 10 matches

Corners

Volume and observed lines

Average for

Sevilla

3.40 · 10 matches

Elche

3.70 · 10 matches

Average against

Sevilla

3.90 · 10 matches

Elche

4.00 · 10 matches

Total average

Sevilla

7.30 · 10 matches

Elche

7.70 · 10 matches

Over 7.5

Sevilla

50% · 5 of 10 matches

Elche

50% · 5 of 10 matches

Over 8.5

Sevilla

30% · 3 of 10 matches

Elche

30% · 3 of 10 matches

Over 9.5

Sevilla

30% · 3 of 10 matches

Elche

20% · 2 of 10 matches

Over 10.5

Sevilla

10% · 1 of 10 matches

Elche

20% · 2 of 10 matches

Over 11.5

Sevilla

10% · 1 of 10 matches

Elche

20% · 2 of 10 matches

Cards

Averages and frequencies

Team average

Sevilla

2.80 · 10 matches

Elche

2.90 · 10 matches

Opponent average

Sevilla

1.80 · 10 matches

Elche

2.20 · 10 matches

Total average

Sevilla

4.60 · 10 matches

Elche

5.10 · 10 matches

Over 2.5

Sevilla

80% · 8 of 10 matches

Elche

90% · 9 of 10 matches

Over 3.5

Sevilla

60% · 6 of 10 matches

Elche

80% · 8 of 10 matches

Over 4.5

Sevilla

40% · 4 of 10 matches

Elche

70% · 7 of 10 matches

Over 5.5

Sevilla

40% · 4 of 10 matches

Elche

50% · 5 of 10 matches

Fouls

Match intensity

Committed average

Sevilla

14.80 · 10 matches

Elche

14.60 · 10 matches

Opponent average

Sevilla

13.40 · 10 matches

Elche

13.60 · 10 matches

Total average

Sevilla

28.20 · 10 matches

Elche

28.20 · 10 matches

Shots

Production and concessions

Average shots

Sevilla

11.30 · 10 matches

Elche

10.00 · 10 matches

Average shots on target

Sevilla

4.20 · 10 matches

Elche

4.10 · 10 matches

Average shots conceded

Sevilla

10.90 · 10 matches

Elche

13.70 · 10 matches

Average shots on target conceded

Sevilla

3.70 · 10 matches

Elche

4.70 · 10 matches

Average xG

Sevilla

0.92 · 8 matches

Elche

0.92 · 9 matches

Average xG against

Sevilla

1.10 · 8 matches

Elche

1.72 · 9 matches

Home vs away

Sevilla at home × Elche away

Sevilla at home

Sevilla

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

Elche away

Elche

23 matches
WDLDDLLWLLLLLLDLLLLLDDD
W
2
D
7
L
14
GF
26
GA
44
Average goals scored

Sevilla at home

1.26 · 23 matches

Elche away

1.13 · 23 matches

Average goals conceded

Sevilla at home

1.39 · 23 matches

Elche away

1.91 · 23 matches

Over 0.5

Sevilla at home

100% · 23 of 23 matches

Elche away

100% · 23 of 23 matches

Over 1.5

Sevilla at home

78% · 18 of 23 matches

Elche away

87% · 20 of 23 matches

Over 2.5

Sevilla at home

57% · 13 of 23 matches

Elche away

61% · 14 of 23 matches

Over 3.5

Sevilla at home

26% · 6 of 23 matches

Elche away

43% · 10 of 23 matches

Both teams scored

Sevilla at home

61% · 14 of 23 matches

Elche away

87% · 20 of 23 matches

Clean sheet

Sevilla at home

17% · 4 of 23 matches

Elche away

0% · 0 of 23 matches

Failed to score

Sevilla at home

22% · 5 of 23 matches

Elche away

13% · 3 of 23 matches

Total corner average

Sevilla at home

7.83 · 23 matches

Elche away

8.39 · 23 matches

Over 8.5 corners

Sevilla at home

39% · 9 of 23 matches

Elche away

43% · 10 of 23 matches

Total card average

Sevilla at home

5.48 · 23 matches

Elche away

4.52 · 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

Elche

Fer Niño

Forward

7.29

7 matches · 470 min

5 goals · 0 assists · 9 of 10 shots on target

Tete Morente

Forward

6.54

7 matches · 398 min

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

R. Revivo

Centre-back

6.77

4 matches · 266 min

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

L. Cepeda

Forward

6.77

7 matches · 227 min

0 goals · 2 assists · 5 of 7 shots on target

T. Lemar

Midfielder

6.93

4 matches · 165 min

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

M. Dituro

Goalkeeper

6.34

7 matches · 630 min

18 saves · 16 goals conceded

Alejandro Iturbe

Goalkeeper

0.00

1 matches · 0 min

0 saves · 0 goals conceded

H2H

Recent meetings

Elche 2 × 2 Sevilla1391012
Sevilla 2 × 2 Elche1390858
Average goals
4.00 · 2 matches
Both teams scored
100% · 2 of 2 matches
Over 2.5
100% · 2 of 2 matches

H2H corners: 10.00 · 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.