RadarOnze

Sevilla vs Alaves: statistics and analysis

LA LIGA 2026/27 · PRE-MATCH ANALYSIS

Round 12

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

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

72.8%

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

Model factors

  • League average — goals: 2.82

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.19 × 1.29

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

  • Opponent strength: 1486 × 1481

    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: 1.10 × 1.31

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

  • Model expected goals: 1.16 × 1.29

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

  • Signal consensus: 97

    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 72.8%, high confidence and a sample of 45 matches per team.

League average — goals: 2.82 (Weighted average using only matches played before the fixture.) Home/away strength: 1.19 × 1.29 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1486 × 1481 (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

51.5%

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

Model factors

  • League average — goals: 2.82

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.19 × 1.29

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

  • Opponent strength: 1486 × 1481

    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: 1.10 × 1.31

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

  • Model expected goals: 1.16 × 1.29

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

  • Signal consensus: 78.3

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Both teams to score has a model probability of 51.5%, medium confidence and a sample of 45 matches per team.

League average — goals: 2.82 (Weighted average using only matches played before the fixture.) Home/away strength: 1.19 × 1.29 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1486 × 1481 (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

68.8%

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 × 2.25

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

  • Opponent strength: 1486 × 1481

    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: 4.74

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

  • Signal consensus: 89.2

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 3.5 yellow cards has a model probability of 68.8%, 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 × 2.25 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1486 × 1481 (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

72.4%

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

Model factors

  • League average — goals: 2.82

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.19 × 1.29

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

  • Opponent strength: 1486 × 1481

    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: 1.10 × 1.31

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

  • Model expected goals: 1.16 × 1.29

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

  • Score matrix: 0–10 goals per team

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

  • Signal consensus: 81.3

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance 12 has a model probability of 72.4%, medium confidence and a sample of 45 matches per team.

League average — goals: 2.82 (Weighted average using only matches played before the fixture.) Home/away strength: 1.19 × 1.29 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1486 × 1481 (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

60.8%

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

Model factors

  • League average — goals: 2.82

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.19 × 1.29

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

  • Opponent strength: 1486 × 1481

    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: 1.10 × 1.31

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

  • Model expected goals: 1.16 × 1.29

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

  • Score matrix: 0–10 goals per team

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

  • Signal consensus: 73.9

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance 1X has a model probability of 60.8%, medium confidence and a sample of 45 matches per team.

League average — goals: 2.82 (Weighted average using only matches played before the fixture.) Home/away strength: 1.19 × 1.29 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1486 × 1481 (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

66.8%

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

Model factors

  • League average — goals: 2.82

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.19 × 1.29

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

  • Opponent strength: 1486 × 1481

    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: 1.10 × 1.31

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

  • Model expected goals: 1.16 × 1.29

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

  • Score matrix: 0–10 goals per team

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

  • Signal consensus: 55

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance X2 has a model probability of 66.8%, medium confidence and a sample of 45 matches per team.

League average — goals: 2.82 (Weighted average using only matches played before the fixture.) Home/away strength: 1.19 × 1.29 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1486 × 1481 (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

92.4%

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

Model factors

  • League average — goals: 2.82

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.19 × 1.29

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

  • Opponent strength: 1486 × 1481

    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: 1.10 × 1.31

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

  • Model expected goals: 1.16 × 1.29

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

  • Signal consensus: 87.2

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 0.5 goals has a model probability of 92.4%, high confidence and a sample of 45 matches per team.

League average — goals: 2.82 (Weighted average using only matches played before the fixture.) Home/away strength: 1.19 × 1.29 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1486 × 1481 (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

70.6%

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

Model factors

  • League average — goals: 2.82

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.19 × 1.29

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

  • Opponent strength: 1486 × 1481

    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: 1.10 × 1.31

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

  • Model expected goals: 1.16 × 1.29

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

  • Signal consensus: 97.3

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 1.5 goals has a model probability of 70.6%, high confidence and a sample of 45 matches per team.

League average — goals: 2.82 (Weighted average using only matches played before the fixture.) Home/away strength: 1.19 × 1.29 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1486 × 1481 (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

32.4%

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

Model factors

  • League average — goals: 2.82

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.19 × 1.29

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

  • Opponent strength: 1486 × 1481

    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: 1.10 × 1.31

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

  • Model expected goals: 1.16 × 1.29

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

  • Signal consensus: 99.7

    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 32.4%, high confidence and a sample of 45 matches per team.

League average — goals: 2.82 (Weighted average using only matches played before the fixture.) Home/away strength: 1.19 × 1.29 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1486 × 1481 (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

70.0%

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

Model factors

  • League average — shots: 25.48

    Weighted average using only matches played before the fixture.

  • Home/away strength: 12.36 × 10.90

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

  • Opponent strength: 1486 × 1481

    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: 83.6

    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: 23.26

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

  • Signal consensus: 89.6

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 20.5 shots has a model probability of 70.0%, high confidence and a sample of 45 matches per team.

League average — shots: 25.48 (Weighted average using only matches played before the fixture.) Home/away strength: 12.36 × 10.90 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1486 × 1481 (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

63.0%

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

Model factors

  • League average — shots on target: 8.92

    Weighted average using only matches played before the fixture.

  • Home/away strength: 3.75 × 3.74

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

  • Opponent strength: 1486 × 1481

    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: 7.50

    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 6.5 shots on target has a model probability of 63.0%, high confidence and a sample of 45 matches per team.

League average — shots on target: 8.92 (Weighted average using only matches played before the fixture.) Home/away strength: 3.75 × 3.74 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1486 × 1481 (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

39.2%

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

Model factors

  • League average — goals: 2.82

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.19 × 1.29

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

  • Opponent strength: 1486 × 1481

    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: 1.10 × 1.31

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

  • Model expected goals: 1.16 × 1.29

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

  • Score matrix: 0–10 goals per team

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

  • Signal consensus: 73.9

    Agreement between the parametric model and the smoothed empirical frequency.

Draw

27.6%

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

Model factors

  • League average — goals: 2.82

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.19 × 1.29

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

  • Opponent strength: 1486 × 1481

    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: 1.10 × 1.31

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

  • Model expected goals: 1.16 × 1.29

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

  • Score matrix: 0–10 goals per team

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

  • Signal consensus: 81.3

    Agreement between the parametric model and the smoothed empirical frequency.

Home win

33.2%

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

Model factors

  • League average — goals: 2.82

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.19 × 1.29

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

  • Opponent strength: 1486 × 1481

    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: 1.10 × 1.31

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

  • Model expected goals: 1.16 × 1.29

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

  • Score matrix: 0–10 goals per team

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

  • Signal consensus: 55

    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. Alaves's 10-match sample contains 5 wins, 2 draws and 3 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, Alaves has 4 wins, 6 draws and 12 defeats in 22 matches, with 0.95 goals scored and 1.55 goals conceded.

Both teams scored in 6 of 10 matches (60%) of Sevilla's sample and 4 of 10 matches (40%) of Alaves's. Over 2.5 goals occurred in 5 of 10 matches (50%) and 4 of 10 matches (40%), respectively.

Shot volume separates the sides at 11.30 per match for Sevilla and 12.20 for Alaves. On target, the averages are 4.20 and 4.60, 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

Alaves

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

Last 10

Sevilla

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

Last 10

Alaves

10 matches
DLLWWDWLWW
W
5
D
2
L
3
GF
14
GA
8

Last 20

Sevilla

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

Last 20

Alaves

20 matches
DLLWWDWLWWDLWLDDWDLL
W
7
D
6
L
7
GF
32
GA
30

Season

Sevilla

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

Season

Alaves

45 matches
DLLWWDWLWWDLWLDDWDLLDDLWWLLDLLWLLLWLDWLDLWDLW
W
14
D
12
L
19
GF
55
GA
62

Goals

Frequencies across the last 10

Average goals scored

Sevilla

1.30 · 10 matches

Alaves

1.40 · 10 matches

Average goals conceded

Sevilla

1.30 · 10 matches

Alaves

0.80 · 10 matches

Over 0.5

Sevilla

100% · 10 of 10 matches

Alaves

90% · 9 of 10 matches

Over 1.5

Sevilla

60% · 6 of 10 matches

Alaves

50% · 5 of 10 matches

Over 2.5

Sevilla

50% · 5 of 10 matches

Alaves

40% · 4 of 10 matches

Over 3.5

Sevilla

40% · 4 of 10 matches

Alaves

10% · 1 of 10 matches

Both teams scored

Sevilla

60% · 6 of 10 matches

Alaves

40% · 4 of 10 matches

Clean sheet

Sevilla

20% · 2 of 10 matches

Alaves

50% · 5 of 10 matches

Failed to score

Sevilla

20% · 2 of 10 matches

Alaves

20% · 2 of 10 matches

Corners

Volume and observed lines

Average for

Sevilla

3.40 · 10 matches

Alaves

4.80 · 10 matches

Average against

Sevilla

3.90 · 10 matches

Alaves

5.00 · 10 matches

Total average

Sevilla

7.30 · 10 matches

Alaves

9.80 · 10 matches

Over 7.5

Sevilla

50% · 5 of 10 matches

Alaves

60% · 6 of 10 matches

Over 8.5

Sevilla

30% · 3 of 10 matches

Alaves

50% · 5 of 10 matches

Over 9.5

Sevilla

30% · 3 of 10 matches

Alaves

50% · 5 of 10 matches

Over 10.5

Sevilla

10% · 1 of 10 matches

Alaves

30% · 3 of 10 matches

Over 11.5

Sevilla

10% · 1 of 10 matches

Alaves

30% · 3 of 10 matches

Cards

Averages and frequencies

Team average

Sevilla

2.80 · 10 matches

Alaves

1.90 · 10 matches

Opponent average

Sevilla

1.80 · 10 matches

Alaves

2.50 · 10 matches

Total average

Sevilla

4.60 · 10 matches

Alaves

4.40 · 10 matches

Over 2.5

Sevilla

80% · 8 of 10 matches

Alaves

90% · 9 of 10 matches

Over 3.5

Sevilla

60% · 6 of 10 matches

Alaves

60% · 6 of 10 matches

Over 4.5

Sevilla

40% · 4 of 10 matches

Alaves

40% · 4 of 10 matches

Over 5.5

Sevilla

40% · 4 of 10 matches

Alaves

30% · 3 of 10 matches

Fouls

Match intensity

Committed average

Sevilla

14.80 · 10 matches

Alaves

14.00 · 10 matches

Opponent average

Sevilla

13.40 · 10 matches

Alaves

12.70 · 10 matches

Total average

Sevilla

28.20 · 10 matches

Alaves

26.70 · 10 matches

Shots

Production and concessions

Average shots

Sevilla

11.30 · 10 matches

Alaves

12.20 · 10 matches

Average shots on target

Sevilla

4.20 · 10 matches

Alaves

4.60 · 10 matches

Average shots conceded

Sevilla

10.90 · 10 matches

Alaves

11.60 · 10 matches

Average shots on target conceded

Sevilla

3.70 · 10 matches

Alaves

3.60 · 10 matches

Average xG

Sevilla

0.92 · 8 matches

Alaves

1.41 · 9 matches

Average xG against

Sevilla

1.10 · 8 matches

Alaves

0.97 · 9 matches

Home vs away

Sevilla at home × Alaves away

Sevilla at home

Sevilla

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

Alaves away

Alaves

22 matches
DLDWDLDWLLDWLLLLLLLDWL
W
4
D
6
L
12
GF
21
GA
34
Average goals scored

Sevilla at home

1.26 · 23 matches

Alaves away

0.95 · 22 matches

Average goals conceded

Sevilla at home

1.39 · 23 matches

Alaves away

1.55 · 22 matches

Over 0.5

Sevilla at home

100% · 23 of 23 matches

Alaves away

95% · 21 of 22 matches

Over 1.5

Sevilla at home

78% · 18 of 23 matches

Alaves away

64% · 14 of 22 matches

Over 2.5

Sevilla at home

57% · 13 of 23 matches

Alaves away

41% · 9 of 22 matches

Over 3.5

Sevilla at home

26% · 6 of 23 matches

Alaves away

23% · 5 of 22 matches

Both teams scored

Sevilla at home

61% · 14 of 23 matches

Alaves away

55% · 12 of 22 matches

Clean sheet

Sevilla at home

17% · 4 of 23 matches

Alaves away

14% · 3 of 22 matches

Failed to score

Sevilla at home

22% · 5 of 23 matches

Alaves away

36% · 8 of 22 matches

Total corner average

Sevilla at home

7.83 · 23 matches

Alaves away

9.82 · 22 matches

Over 8.5 corners

Sevilla at home

39% · 9 of 23 matches

Alaves away

64% · 14 of 22 matches

Total card average

Sevilla at home

5.48 · 23 matches

Alaves away

4.68 · 22 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

Alaves

M. Díaz

Forward

7.30

7 matches · 323 min

3 goals · 3 assists · 8 of 8 shots on target

L. Boyé

Forward

7.09

6 matches · 484 min

4 goals · 0 assists · 6 of 11 shots on target

Angel Pérez

Centre-back

7.07

7 matches · 492 min

0 goals · 3 assists · 4 of 7 shots on target

N. Tenaglia

Centre-back

6.92

7 matches · 585 min

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

Pablo Ibáñez

Midfielder

6.91

7 matches · 580 min

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

Sivera

Goalkeeper

7.35

7 matches · 630 min

23 saves · 6 goals conceded

A. Giménez

Goalkeeper

0.00

1 matches · 0 min

0 saves · 0 goals conceded

H2H

Recent meetings

Sevilla 1 × 1 Alaves1391058
Alaves 1 × 2 Sevilla1390859
Average goals
2.50 · 2 matches
Both teams scored
100% · 2 of 2 matches
Over 2.5
50% · 1 of 2 matches

H2H corners: 5.50 · 2 matches

Combined view

Data convergences

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

Descriptive analysis based exclusively on available frequencies.