RadarOnze

Sevilla vs Real Betis: statistics and analysis

LA LIGA 2026/27 · PRE-MATCH ANALYSIS

Round 13

· 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

83.1%

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: 1.13 × 1.70

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

  • Opponent strength: 1486 × 1578

    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: 60.4

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

  • Sample per team: 45 / 45

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

  • Historical coverage: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 1.11 × 1.56

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

  • Model expected goals: 1.12 × 1.66

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

  • Signal consensus: 71

    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 83.1%, 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: 1.13 × 1.70 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1486 × 1578 (Chronological Elo adjustment with no future matches used.)

No current market price is available for this signal.

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

Both teams to score

55.7%

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: 1.13 × 1.70

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

  • Opponent strength: 1486 × 1578

    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: 60.4

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

  • Sample per team: 45 / 45

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

  • Historical coverage: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 1.11 × 1.56

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

  • Model expected goals: 1.12 × 1.66

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

  • Signal consensus: 85.2

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Both teams to score has a model probability of 55.7%, 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: 1.13 × 1.70 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1486 × 1578 (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

61.5%

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

Model factors

  • League average — metric: 4.39

    Weighted average using only matches played before the fixture.

  • Home/away strength: 2.34 × 1.93

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

  • Opponent strength: 1486 × 1578

    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 / 44

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

  • Historical coverage: 98.7%

    Share of previous matches with complete data for this market.

  • Model expected metric: 4.26

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

  • Signal consensus: 99

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 3.5 yellow cards has a model probability of 61.5%, high confidence and a sample of 44 matches per team.

League average — metric: 4.39 (Weighted average using only matches played before the fixture.) Home/away strength: 2.34 × 1.93 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1486 × 1578 (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

75.1%

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: 1.13 × 1.70

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

  • Opponent strength: 1486 × 1578

    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: 60.4

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

  • Sample per team: 45 / 45

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

  • Historical coverage: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 1.11 × 1.56

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

  • Model expected goals: 1.12 × 1.66

    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: 95.1

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance 12 has a model probability of 75.1%, 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: 1.13 × 1.70 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1486 × 1578 (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

51.2%

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: 1.13 × 1.70

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

  • Opponent strength: 1486 × 1578

    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: 60.4

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

  • Sample per team: 45 / 45

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

  • Historical coverage: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 1.11 × 1.56

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

  • Model expected goals: 1.12 × 1.66

    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: 39.8

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance 1X has a model probability of 51.2%, 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: 1.13 × 1.70 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1486 × 1578 (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

73.7%

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: 1.13 × 1.70

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

  • Opponent strength: 1486 × 1578

    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: 60.4

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

  • Sample per team: 45 / 45

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

  • Historical coverage: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 1.11 × 1.56

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

  • Model expected goals: 1.12 × 1.66

    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: 34.7

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance X2 has a model probability of 73.7%, 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: 1.13 × 1.70 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1486 × 1578 (Chronological Elo adjustment with no future matches used.)

No current market price is available for this signal.

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

Over 0.5 goals

94.5%

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

Model factors

  • League average — goals: 2.82

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.13 × 1.70

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

  • Opponent strength: 1486 × 1578

    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: 60.4

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

  • Sample per team: 45 / 45

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

  • Historical coverage: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 1.11 × 1.56

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

  • Model expected goals: 1.12 × 1.66

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

  • Signal consensus: 90

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

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

League average — goals: 2.82 (Weighted average using only matches played before the fixture.) Home/away strength: 1.13 × 1.70 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1486 × 1578 (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

76.2%

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: 1.13 × 1.70

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

  • Opponent strength: 1486 × 1578

    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: 60.4

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

  • Sample per team: 45 / 45

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

  • Historical coverage: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 1.11 × 1.56

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

  • Model expected goals: 1.12 × 1.66

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

  • Signal consensus: 95.3

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 1.5 goals has a model probability of 76.2%, 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: 1.13 × 1.70 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1486 × 1578 (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

31.2%

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: 1.13 × 1.70

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

  • Opponent strength: 1486 × 1578

    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: 60.4

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

  • Sample per team: 45 / 45

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

  • Historical coverage: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 1.11 × 1.56

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

  • Model expected goals: 1.12 × 1.66

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

  • Signal consensus: 96.2

    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 31.2%, 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: 1.13 × 1.70 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1486 × 1578 (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

83.4%

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

Model factors

  • League average — shots: 25.47

    Weighted average using only matches played before the fixture.

  • Home/away strength: 11.63 × 14.26

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

  • Opponent strength: 1486 × 1578

    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: 25.89

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

  • Signal consensus: 69.1

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 20.5 shots has a model probability of 83.4%, high confidence and a sample of 45 matches per team.

League average — shots: 25.47 (Weighted average using only matches played before the fixture.) Home/away strength: 11.63 × 14.26 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1486 × 1578 (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

80.4%

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: 4.06 × 5.19

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

  • Opponent strength: 1486 × 1578

    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: 76.1

    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: 9.25

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

  • Signal consensus: 85.6

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 6.5 shots on target has a model probability of 80.4%, 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: 4.06 × 5.19 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1486 × 1578 (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

48.8%

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: 1.13 × 1.70

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

  • Opponent strength: 1486 × 1578

    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: 60.4

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

  • Sample per team: 45 / 45

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

  • Historical coverage: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 1.11 × 1.56

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

  • Model expected goals: 1.12 × 1.66

    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: 39.8

    Agreement between the parametric model and the smoothed empirical frequency.

Draw

24.9%

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: 1.13 × 1.70

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

  • Opponent strength: 1486 × 1578

    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: 60.4

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

  • Sample per team: 45 / 45

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

  • Historical coverage: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 1.11 × 1.56

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

  • Model expected goals: 1.12 × 1.66

    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: 95.1

    Agreement between the parametric model and the smoothed empirical frequency.

Home win

26.3%

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: 1.13 × 1.70

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

  • Opponent strength: 1486 × 1578

    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: 60.4

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

  • Sample per team: 45 / 45

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

  • Historical coverage: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 1.11 × 1.56

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

  • Model expected goals: 1.12 × 1.66

    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: 34.7

    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. Real Betis's 10-match sample contains 7 wins, 1 draw and 2 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, Real Betis has 7 wins, 10 draws and 6 defeats in 23 matches, with 1.35 goals scored and 1.57 goals conceded.

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

Shot volume separates the sides at 11.30 per match for Sevilla and 16.30 for Real Betis. On target, the averages are 4.20 and 6.20, 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

Sevilla

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

Last 5

Real Betis

5 matches
DWWWL
W
3
D
1
L
1
GF
7
GA
7

Last 10

Sevilla

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

Last 10

Real Betis

10 matches
DWWWLWWWLW
W
7
D
1
L
2
GF
14
GA
12

Last 20

Sevilla

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

Last 20

Real Betis

20 matches
DWWWLWWWLWDWDWDDLDLD
W
9
D
7
L
4
GF
28
GA
25

Season

Sevilla

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

Season

Real Betis

45 matches
DWWWLWWWLWDWDWDDLDLDDWWWLWDLWDLWDDWLDWWWDLDWD
W
20
D
16
L
9
GF
68
GA
55

Goals

Frequencies across the last 10

Average goals scored

Sevilla

1.30 · 10 matches

Real Betis

1.40 · 10 matches

Average goals conceded

Sevilla

1.30 · 10 matches

Real Betis

1.20 · 10 matches

Over 0.5

Sevilla

100% · 10 of 10 matches

Real Betis

100% · 10 of 10 matches

Over 1.5

Sevilla

60% · 6 of 10 matches

Real Betis

60% · 6 of 10 matches

Over 2.5

Sevilla

50% · 5 of 10 matches

Real Betis

50% · 5 of 10 matches

Over 3.5

Sevilla

40% · 4 of 10 matches

Real Betis

20% · 2 of 10 matches

Both teams scored

Sevilla

60% · 6 of 10 matches

Real Betis

60% · 6 of 10 matches

Clean sheet

Sevilla

20% · 2 of 10 matches

Real Betis

40% · 4 of 10 matches

Failed to score

Sevilla

20% · 2 of 10 matches

Real Betis

0% · 0 of 10 matches

Corners

Volume and observed lines

Average for

Sevilla

3.40 · 10 matches

Real Betis

4.90 · 10 matches

Average against

Sevilla

3.90 · 10 matches

Real Betis

6.40 · 10 matches

Total average

Sevilla

7.30 · 10 matches

Real Betis

11.30 · 10 matches

Over 7.5

Sevilla

50% · 5 of 10 matches

Real Betis

90% · 9 of 10 matches

Over 8.5

Sevilla

30% · 3 of 10 matches

Real Betis

90% · 9 of 10 matches

Over 9.5

Sevilla

30% · 3 of 10 matches

Real Betis

70% · 7 of 10 matches

Over 10.5

Sevilla

10% · 1 of 10 matches

Real Betis

50% · 5 of 10 matches

Over 11.5

Sevilla

10% · 1 of 10 matches

Real Betis

40% · 4 of 10 matches

Cards

Averages and frequencies

Team average

Sevilla

2.80 · 10 matches

Real Betis

1.40 · 10 matches

Opponent average

Sevilla

1.80 · 10 matches

Real Betis

2.40 · 10 matches

Total average

Sevilla

4.60 · 10 matches

Real Betis

3.80 · 10 matches

Over 2.5

Sevilla

80% · 8 of 10 matches

Real Betis

60% · 6 of 10 matches

Over 3.5

Sevilla

60% · 6 of 10 matches

Real Betis

40% · 4 of 10 matches

Over 4.5

Sevilla

40% · 4 of 10 matches

Real Betis

40% · 4 of 10 matches

Over 5.5

Sevilla

40% · 4 of 10 matches

Real Betis

40% · 4 of 10 matches

Fouls

Match intensity

Committed average

Sevilla

14.80 · 10 matches

Real Betis

10.30 · 10 matches

Opponent average

Sevilla

13.40 · 10 matches

Real Betis

10.80 · 10 matches

Total average

Sevilla

28.20 · 10 matches

Real Betis

21.10 · 10 matches

Shots

Production and concessions

Average shots

Sevilla

11.30 · 10 matches

Real Betis

16.30 · 10 matches

Average shots on target

Sevilla

4.20 · 10 matches

Real Betis

6.20 · 10 matches

Average shots conceded

Sevilla

10.90 · 10 matches

Real Betis

14.80 · 10 matches

Average shots on target conceded

Sevilla

3.70 · 10 matches

Real Betis

5.90 · 10 matches

Average xG

Sevilla

0.92 · 8 matches

Real Betis

1.58 · 8 matches

Average xG against

Sevilla

1.10 · 8 matches

Real Betis

1.80 · 8 matches

Home vs away

Sevilla at home × Real Betis away

Sevilla at home

Sevilla

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

Real Betis away

Real Betis

23 matches
DWLWLDWDLLWWLDLDWDDWDDD
W
7
D
10
L
6
GF
31
GA
36
Average goals scored

Sevilla at home

1.26 · 23 matches

Real Betis away

1.35 · 23 matches

Average goals conceded

Sevilla at home

1.39 · 23 matches

Real Betis away

1.57 · 23 matches

Over 0.5

Sevilla at home

100% · 23 of 23 matches

Real Betis away

96% · 22 of 23 matches

Over 1.5

Sevilla at home

78% · 18 of 23 matches

Real Betis away

87% · 20 of 23 matches

Over 2.5

Sevilla at home

57% · 13 of 23 matches

Real Betis away

52% · 12 of 23 matches

Over 3.5

Sevilla at home

26% · 6 of 23 matches

Real Betis away

30% · 7 of 23 matches

Both teams scored

Sevilla at home

61% · 14 of 23 matches

Real Betis away

78% · 18 of 23 matches

Clean sheet

Sevilla at home

17% · 4 of 23 matches

Real Betis away

17% · 4 of 23 matches

Failed to score

Sevilla at home

22% · 5 of 23 matches

Real Betis away

9% · 2 of 23 matches

Total corner average

Sevilla at home

7.83 · 23 matches

Real Betis away

10.52 · 23 matches

Over 8.5 corners

Sevilla at home

39% · 9 of 23 matches

Real Betis away

83% · 19 of 23 matches

Total card average

Sevilla at home

5.48 · 23 matches

Real Betis away

3.91 · 23 matches

Players and goalkeepers

Pre-match highlights

Sevilla

M. Sierra

Midfielder

7.12

7 matches · 496 min

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

Isaac

Forward

6.70

6 matches · 211 min

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

Juan Iglesias

Centre-back

6.88

7 matches · 630 min

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

Y. Fofana

Midfielder

6.70

4 matches · 276 min

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

L. Stassin

Forward

6.68

3 matches · 195 min

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

O. Vlachodimos

Goalkeeper

6.76

7 matches · 630 min

20 saves · 6 goals conceded

Fran González

Goalkeeper

0.00

2 matches · 0 min

0 saves · 0 goals conceded

Real Betis

C. Hernández

Forward

6.79

7 matches · 444 min

2 goals · 1 assists · 6 of 12 shots on target

Rodrigo Riquelme

Midfielder

6.79

7 matches · 308 min

2 goals · 0 assists · 4 of 5 shots on target

T. Parrott

Forward

5.48

5 matches · 170 min

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

Natan

Centre-back

7.34

6 matches · 540 min

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

A. Ezzalzouli

Forward

7.09

4 matches · 244 min

1 goals · 0 assists · 3 of 6 shots on target

Álvaro Vallés

Goalkeeper

8.31

7 matches · 630 min

31 saves · 6 goals conceded

Manu González

Goalkeeper

0.00

2 matches · 0 min

0 saves · 0 goals conceded

H2H

Recent meetings

Real Betis 2 × 2 Sevilla1391070
Sevilla 0 × 2 Real Betis1390958
Average goals
3.00 · 2 matches
Both teams scored
50% · 1 of 2 matches
Over 2.5
50% · 1 of 2 matches

H2H corners: 8.50 · 2 matches

Combined view

Data convergences

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

Descriptive analysis based exclusively on available frequencies.