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Getafe vs Sevilla: statistics and analysis

LA LIGA 2026/27 · PRE-MATCH ANALYSIS

Round 11

· LONDON TIME · Coliseum · Referee: not provided

Getafe

Getafe

11 · 8 pts · 7 P · 2 W · 2 D · 3 L · GD -3

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

64.7%

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

Model factors

  • League average — goals: 2.83

    Weighted average using only matches played before the fixture.

  • Home/away strength: 0.98 × 0.97

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

  • Opponent strength: 1484 × 1486

    Chronological Elo adjustment with no future matches used.

  • Recency: 120-day half-life

    Exponential weighting with a 0.2 floor; older matches never disappear completely.

  • Historical stability: 60.3

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

  • Sample per team: 45 / 45

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

  • Historical coverage: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 0.97 × 0.87

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

  • Model expected goals: 0.98 × 0.94

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

  • Signal consensus: 50.3

    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 64.7%, medium confidence and a sample of 45 matches per team.

League average — goals: 2.83 (Weighted average using only matches played before the fixture.) Home/away strength: 0.98 × 0.97 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1484 × 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

39.8%

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

Model factors

  • League average — goals: 2.83

    Weighted average using only matches played before the fixture.

  • Home/away strength: 0.98 × 0.97

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

  • Opponent strength: 1484 × 1486

    Chronological Elo adjustment with no future matches used.

  • Recency: 120-day half-life

    Exponential weighting with a 0.2 floor; older matches never disappear completely.

  • Historical stability: 60.3

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

  • Sample per team: 45 / 45

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

  • Historical coverage: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 0.97 × 0.87

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

  • Model expected goals: 0.98 × 0.94

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

  • Signal consensus: 75.9

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Both teams to score has a model probability of 39.8%, medium confidence and a sample of 45 matches per team.

League average — goals: 2.83 (Weighted average using only matches played before the fixture.) Home/away strength: 0.98 × 0.97 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1484 × 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

76.4%

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

Model factors

  • League average — metric: 4.39

    Weighted average using only matches played before the fixture.

  • Home/away strength: 2.49 × 2.77

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

  • Opponent strength: 1484 × 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: 67.9

    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: 5.26

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

  • Signal consensus: 91.8

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 3.5 yellow cards has a model probability of 76.4%, high confidence and a sample of 45 matches per team.

League average — metric: 4.39 (Weighted average using only matches played before the fixture.) Home/away strength: 2.49 × 2.77 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1484 × 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

68.2%

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

Model factors

  • League average — goals: 2.83

    Weighted average using only matches played before the fixture.

  • Home/away strength: 0.98 × 0.97

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

  • Opponent strength: 1484 × 1486

    Chronological Elo adjustment with no future matches used.

  • Recency: 120-day half-life

    Exponential weighting with a 0.2 floor; older matches never disappear completely.

  • Historical stability: 60.3

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

  • Sample per team: 45 / 45

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

  • Historical coverage: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 0.97 × 0.87

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

  • Model expected goals: 0.98 × 0.94

    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: 59.5

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance 12 has a model probability of 68.2%, medium confidence and a sample of 45 matches per team.

League average — goals: 2.83 (Weighted average using only matches played before the fixture.) Home/away strength: 0.98 × 0.97 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1484 × 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

66.8%

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

Model factors

  • League average — goals: 2.83

    Weighted average using only matches played before the fixture.

  • Home/away strength: 0.98 × 0.97

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

  • Opponent strength: 1484 × 1486

    Chronological Elo adjustment with no future matches used.

  • Recency: 120-day half-life

    Exponential weighting with a 0.2 floor; older matches never disappear completely.

  • Historical stability: 60.3

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

  • Sample per team: 45 / 45

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

  • Historical coverage: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 0.97 × 0.87

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

  • Model expected goals: 0.98 × 0.94

    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: 93.5

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance 1X has a model probability of 66.8%, high confidence and a sample of 45 matches per team.

League average — goals: 2.83 (Weighted average using only matches played before the fixture.) Home/away strength: 0.98 × 0.97 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1484 × 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

65.0%

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

Model factors

  • League average — goals: 2.83

    Weighted average using only matches played before the fixture.

  • Home/away strength: 0.98 × 0.97

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

  • Opponent strength: 1484 × 1486

    Chronological Elo adjustment with no future matches used.

  • Recency: 120-day half-life

    Exponential weighting with a 0.2 floor; older matches never disappear completely.

  • Historical stability: 60.3

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

  • Sample per team: 45 / 45

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

  • Historical coverage: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 0.97 × 0.87

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

  • Model expected goals: 0.98 × 0.94

    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: 52.9

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance X2 has a model probability of 65.0%, medium confidence and a sample of 45 matches per team.

League average — goals: 2.83 (Weighted average using only matches played before the fixture.) Home/away strength: 0.98 × 0.97 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1484 × 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

87.7%

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

Model factors

  • League average — goals: 2.83

    Weighted average using only matches played before the fixture.

  • Home/away strength: 0.98 × 0.97

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

  • Opponent strength: 1484 × 1486

    Chronological Elo adjustment with no future matches used.

  • Recency: 120-day half-life

    Exponential weighting with a 0.2 floor; older matches never disappear completely.

  • Historical stability: 60.3

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

  • Sample per team: 45 / 45

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

  • Historical coverage: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 0.97 × 0.87

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

  • Model expected goals: 0.98 × 0.94

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

  • Signal consensus: 67.7

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 0.5 goals has a model probability of 87.7%, medium confidence and a sample of 45 matches per team.

League average — goals: 2.83 (Weighted average using only matches played before the fixture.) Home/away strength: 0.98 × 0.97 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1484 × 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

58.8%

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

Model factors

  • League average — goals: 2.83

    Weighted average using only matches played before the fixture.

  • Home/away strength: 0.98 × 0.97

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

  • Opponent strength: 1484 × 1486

    Chronological Elo adjustment with no future matches used.

  • Recency: 120-day half-life

    Exponential weighting with a 0.2 floor; older matches never disappear completely.

  • Historical stability: 60.3

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

  • Sample per team: 45 / 45

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

  • Historical coverage: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 0.97 × 0.87

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

  • Model expected goals: 0.98 × 0.94

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

  • Signal consensus: 76.8

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 1.5 goals has a model probability of 58.8%, medium confidence and a sample of 45 matches per team.

League average — goals: 2.83 (Weighted average using only matches played before the fixture.) Home/away strength: 0.98 × 0.97 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1484 × 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

24.3%

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

Model factors

  • League average — goals: 2.83

    Weighted average using only matches played before the fixture.

  • Home/away strength: 0.98 × 0.97

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

  • Opponent strength: 1484 × 1486

    Chronological Elo adjustment with no future matches used.

  • Recency: 120-day half-life

    Exponential weighting with a 0.2 floor; older matches never disappear completely.

  • Historical stability: 60.3

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

  • Sample per team: 45 / 45

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

  • Historical coverage: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 0.97 × 0.87

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

  • Model expected goals: 0.98 × 0.94

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

  • Signal consensus: 83.4

    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 24.3%, high confidence and a sample of 45 matches per team.

League average — goals: 2.83 (Weighted average using only matches played before the fixture.) Home/away strength: 0.98 × 0.97 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1484 × 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

47.9%

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

Model factors

  • League average — shots: 25.49

    Weighted average using only matches played before the fixture.

  • Home/away strength: 9.43 × 10.62

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

  • Opponent strength: 1484 × 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: 83.5

    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: 20.04

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

  • Signal consensus: 54.9

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 20.5 shots has a model probability of 47.9%, medium confidence and a sample of 45 matches per team.

League average — shots: 25.49 (Weighted average using only matches played before the fixture.) Home/away strength: 9.43 × 10.62 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1484 × 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

54.2%

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

Model factors

  • League average — shots on target: 8.93

    Weighted average using only matches played before the fixture.

  • Home/away strength: 3.13 × 3.65

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

  • Opponent strength: 1484 × 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

    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: 6.79

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

  • Signal consensus: 67.7

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 6.5 shots on target has a model probability of 54.2%, high confidence and a sample of 45 matches per team.

League average — shots on target: 8.93 (Weighted average using only matches played before the fixture.) Home/away strength: 3.13 × 3.65 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1484 × 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

33.2%

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

Model factors

  • League average — goals: 2.83

    Weighted average using only matches played before the fixture.

  • Home/away strength: 0.98 × 0.97

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

  • Opponent strength: 1484 × 1486

    Chronological Elo adjustment with no future matches used.

  • Recency: 120-day half-life

    Exponential weighting with a 0.2 floor; older matches never disappear completely.

  • Historical stability: 60.3

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

  • Sample per team: 45 / 45

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

  • Historical coverage: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 0.97 × 0.87

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

  • Model expected goals: 0.98 × 0.94

    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: 93.5

    Agreement between the parametric model and the smoothed empirical frequency.

Draw

31.8%

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

Model factors

  • League average — goals: 2.83

    Weighted average using only matches played before the fixture.

  • Home/away strength: 0.98 × 0.97

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

  • Opponent strength: 1484 × 1486

    Chronological Elo adjustment with no future matches used.

  • Recency: 120-day half-life

    Exponential weighting with a 0.2 floor; older matches never disappear completely.

  • Historical stability: 60.3

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

  • Sample per team: 45 / 45

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

  • Historical coverage: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 0.97 × 0.87

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

  • Model expected goals: 0.98 × 0.94

    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: 59.5

    Agreement between the parametric model and the smoothed empirical frequency.

Home win

35.0%

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

Model factors

  • League average — goals: 2.83

    Weighted average using only matches played before the fixture.

  • Home/away strength: 0.98 × 0.97

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

  • Opponent strength: 1484 × 1486

    Chronological Elo adjustment with no future matches used.

  • Recency: 120-day half-life

    Exponential weighting with a 0.2 floor; older matches never disappear completely.

  • Historical stability: 60.3

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

  • Sample per team: 45 / 45

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

  • Historical coverage: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 0.97 × 0.87

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

  • Model expected goals: 0.98 × 0.94

    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: 52.9

    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, Getafe recorded 4 wins, 2 draws and 4 defeats and averaged 0.80 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 Getafe at home with 10 wins, 5 draws and 8 defeats in 23 matches, averaging 0.96 goals scored and 0.78 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 3 of 10 matches (30%) of Getafe's sample and 6 of 10 matches (60%) of Sevilla's. Over 2.5 goals occurred in 2 of 10 matches (20%) and 5 of 10 matches (50%), respectively.

Shot volume separates the sides at 9.80 per match for Getafe and 11.30 for Sevilla. On target, the averages are 2.60 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

Getafe

5 matches
WLDDL
W
1
D
2
L
2
GF
3
GA
4

Last 5

Sevilla

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

Last 10

Getafe

10 matches
WLDDLWLWLW
W
4
D
2
L
4
GF
8
GA
9

Last 10

Sevilla

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

Last 20

Getafe

20 matches
WLDDLWLWLWDLLWLWWLWW
W
9
D
3
L
8
GF
16
GA
16

Last 20

Sevilla

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

Season

Getafe

45 matches
WLDDLWLWLWDLLWLWWLWWLWWDDLLDLLLWLLWWLLDDLWLWW
W
17
D
8
L
20
GF
36
GA
45

Season

Sevilla

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

Goals

Frequencies across the last 10

Average goals scored

Getafe

0.80 · 10 matches

Sevilla

1.30 · 10 matches

Average goals conceded

Getafe

0.90 · 10 matches

Sevilla

1.30 · 10 matches

Over 0.5

Getafe

100% · 10 of 10 matches

Sevilla

100% · 10 of 10 matches

Over 1.5

Getafe

40% · 4 of 10 matches

Sevilla

60% · 6 of 10 matches

Over 2.5

Getafe

20% · 2 of 10 matches

Sevilla

50% · 5 of 10 matches

Over 3.5

Getafe

10% · 1 of 10 matches

Sevilla

40% · 4 of 10 matches

Both teams scored

Getafe

30% · 3 of 10 matches

Sevilla

60% · 6 of 10 matches

Clean sheet

Getafe

30% · 3 of 10 matches

Sevilla

20% · 2 of 10 matches

Failed to score

Getafe

40% · 4 of 10 matches

Sevilla

20% · 2 of 10 matches

Corners

Volume and observed lines

Average for

Getafe

3.30 · 10 matches

Sevilla

3.40 · 10 matches

Average against

Getafe

4.80 · 10 matches

Sevilla

3.90 · 10 matches

Total average

Getafe

8.10 · 10 matches

Sevilla

7.30 · 10 matches

Over 7.5

Getafe

50% · 5 of 10 matches

Sevilla

50% · 5 of 10 matches

Over 8.5

Getafe

30% · 3 of 10 matches

Sevilla

30% · 3 of 10 matches

Over 9.5

Getafe

30% · 3 of 10 matches

Sevilla

30% · 3 of 10 matches

Over 10.5

Getafe

20% · 2 of 10 matches

Sevilla

10% · 1 of 10 matches

Over 11.5

Getafe

20% · 2 of 10 matches

Sevilla

10% · 1 of 10 matches

Cards

Averages and frequencies

Team average

Getafe

3.20 · 10 matches

Sevilla

2.80 · 10 matches

Opponent average

Getafe

2.70 · 10 matches

Sevilla

1.80 · 10 matches

Total average

Getafe

5.90 · 10 matches

Sevilla

4.60 · 10 matches

Over 2.5

Getafe

100% · 10 of 10 matches

Sevilla

80% · 8 of 10 matches

Over 3.5

Getafe

90% · 9 of 10 matches

Sevilla

60% · 6 of 10 matches

Over 4.5

Getafe

70% · 7 of 10 matches

Sevilla

40% · 4 of 10 matches

Over 5.5

Getafe

60% · 6 of 10 matches

Sevilla

40% · 4 of 10 matches

Fouls

Match intensity

Committed average

Getafe

15.00 · 10 matches

Sevilla

14.80 · 10 matches

Opponent average

Getafe

15.30 · 10 matches

Sevilla

13.40 · 10 matches

Total average

Getafe

30.30 · 10 matches

Sevilla

28.20 · 10 matches

Shots

Production and concessions

Average shots

Getafe

9.80 · 10 matches

Sevilla

11.30 · 10 matches

Average shots on target

Getafe

2.60 · 10 matches

Sevilla

4.20 · 10 matches

Average shots conceded

Getafe

12.30 · 10 matches

Sevilla

10.90 · 10 matches

Average shots on target conceded

Getafe

4.10 · 10 matches

Sevilla

3.70 · 10 matches

Average xG

Getafe

0.69 · 8 matches

Sevilla

0.92 · 8 matches

Average xG against

Getafe

1.05 · 8 matches

Sevilla

1.10 · 8 matches

Home vs away

Getafe at home × Sevilla away

Getafe at home

Getafe

23 matches
WDDWWWLLWWLWDLLLWLWLDDW
W
10
D
5
L
8
GF
22
GA
18

Sevilla away

Sevilla

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

Getafe at home

0.96 · 23 matches

Sevilla away

1.23 · 22 matches

Average goals conceded

Getafe at home

0.78 · 23 matches

Sevilla away

1.68 · 22 matches

Over 0.5

Getafe at home

96% · 22 of 23 matches

Sevilla away

100% · 22 of 22 matches

Over 1.5

Getafe at home

57% · 13 of 23 matches

Sevilla away

77% · 17 of 22 matches

Over 2.5

Getafe at home

17% · 4 of 23 matches

Sevilla away

55% · 12 of 22 matches

Over 3.5

Getafe at home

4% · 1 of 23 matches

Sevilla away

32% · 7 of 22 matches

Both teams scored

Getafe at home

35% · 8 of 23 matches

Sevilla away

59% · 13 of 22 matches

Clean sheet

Getafe at home

35% · 8 of 23 matches

Sevilla away

18% · 4 of 22 matches

Failed to score

Getafe at home

35% · 8 of 23 matches

Sevilla away

23% · 5 of 22 matches

Total corner average

Getafe at home

8.61 · 23 matches

Sevilla away

10.14 · 22 matches

Over 8.5 corners

Getafe at home

43% · 10 of 23 matches

Sevilla away

59% · 13 of 22 matches

Total card average

Getafe at home

5.09 · 23 matches

Sevilla away

4.86 · 22 matches

Players and goalkeepers

Pre-match highlights

Getafe

Iván Azón

Forward

6.97

4 matches · 272 min

1 goals · 1 assists · 4 of 8 shots on target

M. Satriano

Midfielder

6.76

7 matches · 544 min

1 goals · 1 assists · 3 of 11 shots on target

Ramón Terrats

Midfielder

7.16

6 matches · 532 min

1 goals · 0 assists · 6 of 17 shots on target

E. Ünal

Forward

6.49

7 matches · 540 min

1 goals · 0 assists · 2 of 9 shots on target

Andrés García

Centre-back

6.89

6 matches · 472 min

0 goals · 0 assists · 1 of 6 shots on target

David Soria

Goalkeeper

7.35

7 matches · 630 min

23 saves · 6 goals conceded

Diego Ferrer

Goalkeeper

0.00

2 matches · 0 min

0 saves · 0 goals conceded

Sevilla

M. Sierra

Midfielder

7.12

7 matches · 496 min

2 goals · 0 assists · 5 of 8 shots on target

Isaac

Forward

6.70

6 matches · 211 min

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

Juan Iglesias

Centre-back

6.88

7 matches · 630 min

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

Y. Fofana

Midfielder

6.70

4 matches · 276 min

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

L. Stassin

Forward

6.68

3 matches · 195 min

1 goals · 0 assists · 4 of 7 shots on target

O. Vlachodimos

Goalkeeper

6.76

7 matches · 630 min

20 saves · 6 goals conceded

Fran González

Goalkeeper

0.00

2 matches · 0 min

0 saves · 0 goals conceded

H2H

Recent meetings

Getafe 0 × 1 Sevilla1391065
Sevilla 1 × 2 Getafe1390837
Average goals
2.00 · 2 matches
Both teams scored
50% · 1 of 2 matches
Over 2.5
50% · 1 of 2 matches

H2H corners: 6.00 · 2 matches

Combined view

Data convergences

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

Descriptive analysis based exclusively on available frequencies.