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Atletico Madrid vs Sevilla: statistics and analysis

LA LIGA 2026/27 · PRE-MATCH ANALYSIS

Round 32

· LONDON TIME · Metropolitano Stadium · Referee: not provided

Atletico Madrid

Atletico Madrid

2 · 16 pts · 7 P · 5 W · 1 D · 1 L · GD 9

VSSevilla

Sevilla

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

Statistical engine · radaronze-v1

RadarOnze analysis

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

View in the Betting Centre

Away team to score 1+ goals

65.9%

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

Model factors

  • League average — goals: 2.77

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.95 × 1.01

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

  • Opponent strength: 1578 × 1486

    Chronological Elo adjustment with no future matches used.

  • Recency: 120-day half-life

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

  • Historical stability: 61.3

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

  • Sample per team: 45 / 45

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

  • Historical coverage: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 1.76 × 0.95

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

  • Model expected goals: 1.90 × 0.99

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

  • Signal consensus: 60

    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 65.9%, medium confidence and a sample of 45 matches per team.

League average — goals: 2.77 (Weighted average using only matches played before the fixture.) Home/away strength: 1.95 × 1.01 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1578 × 1486 (Chronological Elo adjustment with no future matches used.)

No current market price is available for this signal.

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

Both teams to score

53.8%

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

Model factors

  • League average — goals: 2.77

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.95 × 1.01

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

  • Opponent strength: 1578 × 1486

    Chronological Elo adjustment with no future matches used.

  • Recency: 120-day half-life

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

  • Historical stability: 61.3

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

  • Sample per team: 45 / 45

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

  • Historical coverage: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 1.76 × 0.95

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

  • Model expected goals: 1.90 × 0.99

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

  • Signal consensus: 94.5

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Both teams to score has a model probability of 53.8%, high confidence and a sample of 45 matches per team.

League average — goals: 2.77 (Weighted average using only matches played before the fixture.) Home/away strength: 1.95 × 1.01 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1578 × 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

64.4%

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

Model factors

  • League average — metric: 4.44

    Weighted average using only matches played before the fixture.

  • Home/away strength: 2.22 × 2.22

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

  • Opponent strength: 1578 × 1486

    Chronological Elo adjustment with no future matches used.

  • Recency: 120-day half-life

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

  • Historical stability: 67.6

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

  • Sample per team: 43 / 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: 4.44

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

  • Signal consensus: 95

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 3.5 yellow cards has a model probability of 64.4%, high confidence and a sample of 43 matches per team.

League average — metric: 4.44 (Weighted average using only matches played before the fixture.) Home/away strength: 2.22 × 2.22 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1578 × 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

77.2%

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

Model factors

  • League average — goals: 2.77

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.95 × 1.01

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

  • Opponent strength: 1578 × 1486

    Chronological Elo adjustment with no future matches used.

  • Recency: 120-day half-life

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

  • Historical stability: 61.3

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

  • Sample per team: 45 / 45

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

  • Historical coverage: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 1.76 × 0.95

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

  • Model expected goals: 1.90 × 0.99

    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: 88.5

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance 12 has a model probability of 77.2%, high confidence and a sample of 45 matches per team.

League average — goals: 2.77 (Weighted average using only matches played before the fixture.) Home/away strength: 1.95 × 1.01 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1578 × 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

79.8%

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

Model factors

  • League average — goals: 2.77

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.95 × 1.01

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

  • Opponent strength: 1578 × 1486

    Chronological Elo adjustment with no future matches used.

  • Recency: 120-day half-life

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

  • Historical stability: 61.3

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

  • Sample per team: 45 / 45

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

  • Historical coverage: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 1.76 × 0.95

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

  • Model expected goals: 1.90 × 0.99

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

  • Score matrix: 0–10 goals per team

    The 1X2 probabilities are normalised to add up to exactly 100%.

  • Signal consensus: 66.4

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance 1X has a model probability of 79.8%, medium confidence and a sample of 45 matches per team.

League average — goals: 2.77 (Weighted average using only matches played before the fixture.) Home/away strength: 1.95 × 1.01 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1578 × 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

43.0%

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

Model factors

  • League average — goals: 2.77

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.95 × 1.01

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

  • Opponent strength: 1578 × 1486

    Chronological Elo adjustment with no future matches used.

  • Recency: 120-day half-life

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

  • Historical stability: 61.3

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

  • Sample per team: 45 / 45

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

  • Historical coverage: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 1.76 × 0.95

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

  • Model expected goals: 1.90 × 0.99

    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: 78.2

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance X2 has a model probability of 43.0%, medium confidence and a sample of 45 matches per team.

League average — goals: 2.77 (Weighted average using only matches played before the fixture.) Home/away strength: 1.95 × 1.01 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1578 × 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

95.1%

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

Model factors

  • League average — goals: 2.77

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.95 × 1.01

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

  • Opponent strength: 1578 × 1486

    Chronological Elo adjustment with no future matches used.

  • Recency: 120-day half-life

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

  • Historical stability: 61.3

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

  • Sample per team: 45 / 45

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

  • Historical coverage: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 1.76 × 0.95

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

  • Model expected goals: 1.90 × 0.99

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

  • Signal consensus: 90.9

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 0.5 goals has a model probability of 95.1%, high confidence and a sample of 45 matches per team.

League average — goals: 2.77 (Weighted average using only matches played before the fixture.) Home/away strength: 1.95 × 1.01 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1578 × 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

78.1%

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

Model factors

  • League average — goals: 2.77

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.95 × 1.01

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

  • Opponent strength: 1578 × 1486

    Chronological Elo adjustment with no future matches used.

  • Recency: 120-day half-life

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

  • Historical stability: 61.3

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

  • Sample per team: 45 / 45

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

  • Historical coverage: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 1.76 × 0.95

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

  • Model expected goals: 1.90 × 0.99

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

  • Signal consensus: 97.6

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 1.5 goals has a model probability of 78.1%, high confidence and a sample of 45 matches per team.

League average — goals: 2.77 (Weighted average using only matches played before the fixture.) Home/away strength: 1.95 × 1.01 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1578 × 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

55.6%

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

Model factors

  • League average — goals: 2.77

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.95 × 1.01

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

  • Opponent strength: 1578 × 1486

    Chronological Elo adjustment with no future matches used.

  • Recency: 120-day half-life

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

  • Historical stability: 61.3

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

  • Sample per team: 45 / 45

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

  • Historical coverage: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 1.76 × 0.95

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

  • Model expected goals: 1.90 × 0.99

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

  • Signal consensus: 88.3

    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 55.6%, high confidence and a sample of 45 matches per team.

League average — goals: 2.77 (Weighted average using only matches played before the fixture.) Home/away strength: 1.95 × 1.01 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1578 × 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

70.5%

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

Model factors

  • League average — shots: 25.28

    Weighted average using only matches played before the fixture.

  • Home/away strength: 13.63 × 9.62

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

  • Opponent strength: 1578 × 1486

    Chronological Elo adjustment with no future matches used.

  • Recency: 120-day half-life

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

  • Historical stability: 83.7

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

  • Sample per team: 45 / 45

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

  • Historical coverage: 100.0%

    Share of previous matches with complete data for this market.

  • Model expected shots: 23.25

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

  • Signal consensus: 96.1

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 20.5 shots has a model probability of 70.5%, high confidence and a sample of 45 matches per team.

League average — shots: 25.28 (Weighted average using only matches played before the fixture.) Home/away strength: 13.63 × 9.62 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1578 × 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

76.1%

high
View full analysis
Sample
45 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: 5.60 × 3.06

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

  • Opponent strength: 1578 × 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: 76.5

    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 on target: 8.66

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

  • Signal consensus: 99.9

    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 76.1%, high confidence and a sample of 45 matches per team.

League average — shots on target: 8.81 (Weighted average using only matches played before the fixture.) Home/away strength: 5.60 × 3.06 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1578 × 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

20.2%

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

Model factors

  • League average — goals: 2.77

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.95 × 1.01

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

  • Opponent strength: 1578 × 1486

    Chronological Elo adjustment with no future matches used.

  • Recency: 120-day half-life

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

  • Historical stability: 61.3

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

  • Sample per team: 45 / 45

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

  • Historical coverage: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 1.76 × 0.95

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

  • Model expected goals: 1.90 × 0.99

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

  • Score matrix: 0–10 goals per team

    The 1X2 probabilities are normalised to add up to exactly 100%.

  • Signal consensus: 66.4

    Agreement between the parametric model and the smoothed empirical frequency.

Draw

22.8%

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

Model factors

  • League average — goals: 2.77

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.95 × 1.01

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

  • Opponent strength: 1578 × 1486

    Chronological Elo adjustment with no future matches used.

  • Recency: 120-day half-life

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

  • Historical stability: 61.3

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

  • Sample per team: 45 / 45

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

  • Historical coverage: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 1.76 × 0.95

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

  • Model expected goals: 1.90 × 0.99

    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: 88.5

    Agreement between the parametric model and the smoothed empirical frequency.

Home win

57.0%

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

Model factors

  • League average — goals: 2.77

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.95 × 1.01

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

  • Opponent strength: 1578 × 1486

    Chronological Elo adjustment with no future matches used.

  • Recency: 120-day half-life

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

  • Historical stability: 61.3

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

  • Sample per team: 45 / 45

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

  • Historical coverage: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 1.76 × 0.95

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

  • Model expected goals: 1.90 × 0.99

    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: 78.2

    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, Atletico Madrid recorded 7 wins, 1 draw and 2 defeats and averaged 2.00 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 Atletico Madrid at home with 18 wins, 2 draws and 3 defeats in 23 matches, averaging 2.13 goals scored and 0.87 goals conceded. Away from home, Sevilla has 7 wins, 4 draws and 11 defeats in 22 matches, with 1.23 goals scored and 1.68 goals conceded.

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

Shot volume separates the sides at 14.90 per match for Atletico Madrid and 11.30 for Sevilla. On target, the averages are 5.70 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

Atletico Madrid

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

Last 5

Sevilla

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

Last 10

Atletico Madrid

10 matches
WWWLWDWLWW
W
7
D
1
L
2
GF
20
GA
13

Last 10

Sevilla

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

Last 20

Atletico Madrid

20 matches
WWWLWDWLWWLWWLLLLWWW
W
12
D
1
L
7
GF
36
GA
28

Last 20

Sevilla

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

Season

Atletico Madrid

45 matches
WWWLWDWLWWLWWLLLLWWWWLLDWWDWWLLWWWWWWDWWDWDDL
W
26
D
7
L
12
GF
78
GA
51

Season

Sevilla

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

Goals

Frequencies across the last 10

Average goals scored

Atletico Madrid

2.00 · 10 matches

Sevilla

1.30 · 10 matches

Average goals conceded

Atletico Madrid

1.30 · 10 matches

Sevilla

1.30 · 10 matches

Over 0.5

Atletico Madrid

100% · 10 of 10 matches

Sevilla

100% · 10 of 10 matches

Over 1.5

Atletico Madrid

90% · 9 of 10 matches

Sevilla

60% · 6 of 10 matches

Over 2.5

Atletico Madrid

80% · 8 of 10 matches

Sevilla

50% · 5 of 10 matches

Over 3.5

Atletico Madrid

40% · 4 of 10 matches

Sevilla

40% · 4 of 10 matches

Both teams scored

Atletico Madrid

50% · 5 of 10 matches

Sevilla

60% · 6 of 10 matches

Clean sheet

Atletico Madrid

40% · 4 of 10 matches

Sevilla

20% · 2 of 10 matches

Failed to score

Atletico Madrid

10% · 1 of 10 matches

Sevilla

20% · 2 of 10 matches

Corners

Volume and observed lines

Average for

Atletico Madrid

5.70 · 10 matches

Sevilla

3.40 · 10 matches

Average against

Atletico Madrid

4.20 · 10 matches

Sevilla

3.90 · 10 matches

Total average

Atletico Madrid

9.90 · 10 matches

Sevilla

7.30 · 10 matches

Over 7.5

Atletico Madrid

70% · 7 of 10 matches

Sevilla

50% · 5 of 10 matches

Over 8.5

Atletico Madrid

50% · 5 of 10 matches

Sevilla

30% · 3 of 10 matches

Over 9.5

Atletico Madrid

50% · 5 of 10 matches

Sevilla

30% · 3 of 10 matches

Over 10.5

Atletico Madrid

50% · 5 of 10 matches

Sevilla

10% · 1 of 10 matches

Over 11.5

Atletico Madrid

40% · 4 of 10 matches

Sevilla

10% · 1 of 10 matches

Cards

Averages and frequencies

Team average

Atletico Madrid

2.20 · 10 matches

Sevilla

2.80 · 10 matches

Opponent average

Atletico Madrid

2.00 · 10 matches

Sevilla

1.80 · 10 matches

Total average

Atletico Madrid

4.20 · 10 matches

Sevilla

4.60 · 10 matches

Over 2.5

Atletico Madrid

70% · 7 of 10 matches

Sevilla

80% · 8 of 10 matches

Over 3.5

Atletico Madrid

50% · 5 of 10 matches

Sevilla

60% · 6 of 10 matches

Over 4.5

Atletico Madrid

40% · 4 of 10 matches

Sevilla

40% · 4 of 10 matches

Over 5.5

Atletico Madrid

20% · 2 of 10 matches

Sevilla

40% · 4 of 10 matches

Fouls

Match intensity

Committed average

Atletico Madrid

11.80 · 10 matches

Sevilla

14.80 · 10 matches

Opponent average

Atletico Madrid

11.00 · 10 matches

Sevilla

13.40 · 10 matches

Total average

Atletico Madrid

22.80 · 10 matches

Sevilla

28.20 · 10 matches

Shots

Production and concessions

Average shots

Atletico Madrid

14.90 · 10 matches

Sevilla

11.30 · 10 matches

Average shots on target

Atletico Madrid

5.70 · 10 matches

Sevilla

4.20 · 10 matches

Average shots conceded

Atletico Madrid

13.00 · 10 matches

Sevilla

10.90 · 10 matches

Average shots on target conceded

Atletico Madrid

4.70 · 10 matches

Sevilla

3.70 · 10 matches

Average xG

Atletico Madrid

1.30 · 8 matches

Sevilla

0.92 · 8 matches

Average xG against

Atletico Madrid

1.66 · 8 matches

Sevilla

1.10 · 8 matches

Home vs away

Atletico Madrid at home × Sevilla away

Atletico Madrid at home

Atletico Madrid

23 matches
WWDWWLWLWWWLWWWWWWWWWWD
W
18
D
2
L
3
GF
49
GA
20

Sevilla away

Sevilla

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

Atletico Madrid at home

2.13 · 23 matches

Sevilla away

1.23 · 22 matches

Average goals conceded

Atletico Madrid at home

0.87 · 23 matches

Sevilla away

1.68 · 22 matches

Over 0.5

Atletico Madrid at home

100% · 23 of 23 matches

Sevilla away

100% · 22 of 22 matches

Over 1.5

Atletico Madrid at home

74% · 17 of 23 matches

Sevilla away

77% · 17 of 22 matches

Over 2.5

Atletico Madrid at home

57% · 13 of 23 matches

Sevilla away

55% · 12 of 22 matches

Over 3.5

Atletico Madrid at home

35% · 8 of 23 matches

Sevilla away

32% · 7 of 22 matches

Both teams scored

Atletico Madrid at home

48% · 11 of 23 matches

Sevilla away

59% · 13 of 22 matches

Clean sheet

Atletico Madrid at home

43% · 10 of 23 matches

Sevilla away

18% · 4 of 22 matches

Failed to score

Atletico Madrid at home

9% · 2 of 23 matches

Sevilla away

23% · 5 of 22 matches

Total corner average

Atletico Madrid at home

10.74 · 23 matches

Sevilla away

10.14 · 22 matches

Over 8.5 corners

Atletico Madrid at home

70% · 16 of 23 matches

Sevilla away

59% · 13 of 22 matches

Total card average

Atletico Madrid at home

4.32 · 22 matches

Sevilla away

4.86 · 22 matches

Players and goalkeepers

Pre-match highlights

Atletico Madrid

Álex Baena

Midfielder

7.24

7 matches · 455 min

4 goals · 1 assists · 7 of 13 shots on target

J. David

Forward

8.18

3 matches · 160 min

3 goals · 1 assists · 6 of 10 shots on target

G. Simeone

Midfielder

6.82

7 matches · 474 min

2 goals · 2 assists · 2 of 6 shots on target

Lee Kang-In

Forward

7.10

7 matches · 469 min

2 goals · 1 assists · 6 of 15 shots on target

Álex Grimaldo

Centre-back

6.87

6 matches · 535 min

2 goals · 1 assists · 5 of 9 shots on target

J. Oblak

Goalkeeper

6.89

7 matches · 630 min

16 saves · 6 goals conceded

Salvador Esquivel

Goalkeeper

0.00

1 matches · 0 min

0 saves · 0 goals conceded

Sevilla

M. Sierra

Midfielder

7.12

7 matches · 496 min

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

Isaac

Forward

6.70

6 matches · 211 min

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

Juan Iglesias

Centre-back

6.88

7 matches · 630 min

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

Y. Fofana

Midfielder

6.70

4 matches · 276 min

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

L. Stassin

Forward

6.68

3 matches · 195 min

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

O. Vlachodimos

Goalkeeper

6.76

7 matches · 630 min

20 saves · 6 goals conceded

Fran González

Goalkeeper

0.00

2 matches · 0 min

0 saves · 0 goals conceded

H2H

Recent meetings

Sevilla 1 × 3 Atletico Madrid1570362
Sevilla 2 × 1 Atletico Madrid1391128
Atletico Madrid 3 × 0 Sevilla1390920
Average goals
3.33 · 3 matches
Both teams scored
67% · 2 of 3 matches
Over 2.5
100% · 3 of 3 matches

H2H corners: 10.33 · 3 matches

Combined view

Data convergences

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

Descriptive analysis based exclusively on available frequencies.