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Sevilla vs Racing Santander: statistics and analysis

LA LIGA 2026/27 · PRE-MATCH ANALYSIS

Round 17

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

Sevilla

Sevilla

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

VSRacing Santander

Racing Santander

16 · 7 pts · 7 P · 2 W · 1 D · 4 L · GD -10

Statistical engine · radaronze-v1

RadarOnze analysis

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

View in the Betting Centre

Away team to score 1+ goals

75.5%

low
View full analysis
Sample
7 matches/team
Model
radaronze-v1

Model factors

  • League average — goals: 2.81

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.95 × 1.49

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

  • Opponent strength: 1486 × 1487

    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: 60.6

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

  • Sample per team: 45 / 7

    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: not used

    Coverage or sample was insufficient before this fixture.

  • Model expected goals: 1.95 × 1.49

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

  • Signal consensus: 75.1

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Away team to score 1+ goals has a model probability of 75.5%, low confidence and a sample of 7 matches per team.

League average — goals: 2.81 (Weighted average using only matches played before the fixture.) Home/away strength: 1.95 × 1.49 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1486 × 1487 (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

65.3%

low
View full analysis
Sample
7 matches/team
Model
radaronze-v1

Model factors

  • League average — goals: 2.81

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.95 × 1.49

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

  • Opponent strength: 1486 × 1487

    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: 60.6

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

  • Sample per team: 45 / 7

    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: not used

    Coverage or sample was insufficient before this fixture.

  • Model expected goals: 1.95 × 1.49

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

  • Signal consensus: 86

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Both teams to score has a model probability of 65.3%, low confidence and a sample of 7 matches per team.

League average — goals: 2.81 (Weighted average using only matches played before the fixture.) Home/away strength: 1.95 × 1.49 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1486 × 1487 (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

73.4%

low
View full analysis
Sample
7 matches/team
Model
radaronze-v1

Model factors

  • League average — metric: 4.4

    Weighted average using only matches played before the fixture.

  • Home/away strength: 2.70 × 2.39

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

  • Opponent strength: 1486 × 1487

    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: 67.8

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

  • Sample per team: 45 / 7

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

  • Historical coverage: 98.7%

    Share of previous matches with complete data for this market.

  • Model expected metric: 5.09

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

  • Signal consensus: 83

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 3.5 yellow cards has a model probability of 73.4%, low confidence and a sample of 7 matches per team.

League average — metric: 4.4 (Weighted average using only matches played before the fixture.) Home/away strength: 2.70 × 2.39 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1486 × 1487 (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

77.4%

low
View full analysis
Sample
7 matches/team
Model
radaronze-v1

Model factors

  • League average — goals: 2.81

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.95 × 1.49

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

  • Opponent strength: 1486 × 1487

    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: 60.6

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

  • Sample per team: 45 / 7

    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: not used

    Coverage or sample was insufficient before this fixture.

  • Model expected goals: 1.95 × 1.49

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

  • Score matrix: 0–10 goals per team

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

  • Signal consensus: 86.4

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance 12 has a model probability of 77.4%, low confidence and a sample of 7 matches per team.

League average — goals: 2.81 (Weighted average using only matches played before the fixture.) Home/away strength: 1.95 × 1.49 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1486 × 1487 (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

70.2%

low
View full analysis
Sample
7 matches/team
Model
radaronze-v1

Model factors

  • League average — goals: 2.81

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.95 × 1.49

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

  • Opponent strength: 1486 × 1487

    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: 60.6

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

  • Sample per team: 45 / 7

    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: not used

    Coverage or sample was insufficient before this fixture.

  • Model expected goals: 1.95 × 1.49

    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: 99

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance 1X has a model probability of 70.2%, low confidence and a sample of 7 matches per team.

League average — goals: 2.81 (Weighted average using only matches played before the fixture.) Home/away strength: 1.95 × 1.49 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1486 × 1487 (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

52.4%

low
View full analysis
Sample
7 matches/team
Model
radaronze-v1

Model factors

  • League average — goals: 2.81

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.95 × 1.49

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

  • Opponent strength: 1486 × 1487

    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: 60.6

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

  • Sample per team: 45 / 7

    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: not used

    Coverage or sample was insufficient before this fixture.

  • Model expected goals: 1.95 × 1.49

    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: 87.2

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance X2 has a model probability of 52.4%, low confidence and a sample of 7 matches per team.

League average — goals: 2.81 (Weighted average using only matches played before the fixture.) Home/away strength: 1.95 × 1.49 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1486 × 1487 (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

97.1%

low
View full analysis
Sample
7 matches/team
Model
radaronze-v1

Model factors

  • League average — goals: 2.81

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.95 × 1.49

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

  • Opponent strength: 1486 × 1487

    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: 60.6

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

  • Sample per team: 45 / 7

    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: not used

    Coverage or sample was insufficient before this fixture.

  • Model expected goals: 1.95 × 1.49

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

  • Signal consensus: 95.6

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 0.5 goals has a model probability of 97.1%, low confidence and a sample of 7 matches per team.

League average — goals: 2.81 (Weighted average using only matches played before the fixture.) Home/away strength: 1.95 × 1.49 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1486 × 1487 (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

84.1%

low
View full analysis
Sample
7 matches/team
Model
radaronze-v1

Model factors

  • League average — goals: 2.81

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.95 × 1.49

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

  • Opponent strength: 1486 × 1487

    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: 60.6

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

  • Sample per team: 45 / 7

    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: not used

    Coverage or sample was insufficient before this fixture.

  • Model expected goals: 1.95 × 1.49

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

  • Signal consensus: 78.6

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 1.5 goals has a model probability of 84.1%, low confidence and a sample of 7 matches per team.

League average — goals: 2.81 (Weighted average using only matches played before the fixture.) Home/away strength: 1.95 × 1.49 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1486 × 1487 (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

52.9%

low
View full analysis
Sample
7 matches/team
Model
radaronze-v1

Model factors

  • League average — goals: 2.81

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.95 × 1.49

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

  • Opponent strength: 1486 × 1487

    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: 60.6

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

  • Sample per team: 45 / 7

    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: not used

    Coverage or sample was insufficient before this fixture.

  • Model expected goals: 1.95 × 1.49

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

  • Signal consensus: 32.1

    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 52.9%, low confidence and a sample of 7 matches per team.

League average — goals: 2.81 (Weighted average using only matches played before the fixture.) Home/away strength: 1.95 × 1.49 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1486 × 1487 (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

72.3%

low
View full analysis
Sample
7 matches/team
Model
radaronze-v1

Model factors

  • League average — shots: 25.44

    Weighted average using only matches played before the fixture.

  • Home/away strength: 13.67 × 10.00

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

  • Opponent strength: 1486 × 1487

    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 / 7

    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: 23.67

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

  • Signal consensus: 83

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 20.5 shots has a model probability of 72.3%, low confidence and a sample of 7 matches per team.

League average — shots: 25.44 (Weighted average using only matches played before the fixture.) Home/away strength: 13.67 × 10.00 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1486 × 1487 (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

77.7%

low
View full analysis
Sample
7 matches/team
Model
radaronze-v1

Model factors

  • League average — shots on target: 8.9

    Weighted average using only matches played before the fixture.

  • Home/away strength: 5.06 × 3.88

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

  • Opponent strength: 1486 × 1487

    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 / 7

    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: 8.94

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

  • Signal consensus: 86.6

    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 77.7%, low confidence and a sample of 7 matches per team.

League average — shots on target: 8.9 (Weighted average using only matches played before the fixture.) Home/away strength: 5.06 × 3.88 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1486 × 1487 (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

29.8%

low
View full analysis
Sample
7 matches/team
Model
radaronze-v1

Model factors

  • League average — goals: 2.81

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.95 × 1.49

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

  • Opponent strength: 1486 × 1487

    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: 60.6

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

  • Sample per team: 45 / 7

    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: not used

    Coverage or sample was insufficient before this fixture.

  • Model expected goals: 1.95 × 1.49

    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: 99

    Agreement between the parametric model and the smoothed empirical frequency.

Draw

22.6%

low
View full analysis
Sample
7 matches/team
Model
radaronze-v1

Model factors

  • League average — goals: 2.81

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.95 × 1.49

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

  • Opponent strength: 1486 × 1487

    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: 60.6

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

  • Sample per team: 45 / 7

    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: not used

    Coverage or sample was insufficient before this fixture.

  • Model expected goals: 1.95 × 1.49

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

  • Score matrix: 0–10 goals per team

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

  • Signal consensus: 86.4

    Agreement between the parametric model and the smoothed empirical frequency.

Home win

47.6%

low
View full analysis
Sample
7 matches/team
Model
radaronze-v1

Model factors

  • League average — goals: 2.81

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.95 × 1.49

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

  • Opponent strength: 1486 × 1487

    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: 60.6

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

  • Sample per team: 45 / 7

    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: not used

    Coverage or sample was insufficient before this fixture.

  • Model expected goals: 1.95 × 1.49

    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: 87.2

    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, Sevilla recorded 5 wins, 1 draw and 4 defeats and averaged 1.30 goals scored per match. Racing Santander's 7-match sample contains 2 wins, 1 draw and 4 defeats, with 1.57 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, Racing Santander has 0 wins, 0 draws and 4 defeats in 4 matches, with 1.00 goal scored and 4.00 goals conceded.

Both teams scored in 6 of 10 matches (60%) of Sevilla's sample and 5 of 7 matches (71%) of Racing Santander's. Over 2.5 goals occurred in 5 of 10 matches (50%) and 6 of 7 matches (86%), respectively.

Shot volume separates the sides at 11.30 per match for Sevilla and 10.29 for Racing Santander. On target, the averages are 4.20 and 4.00, 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

Racing Santander

5 matches
LLWLW
W
2
D
0
L
3
GF
9
GA
18

Last 10

Sevilla

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

Last 7

Racing Santander

7 matches
LLWLWLD
W
2
D
1
L
4
GF
11
GA
21

Last 20

Sevilla

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

Last 7

Racing Santander

7 matches
LLWLWLD
W
2
D
1
L
4
GF
11
GA
21

Season

Sevilla

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

Season

Racing Santander

7 matches
LLWLWLD
W
2
D
1
L
4
GF
11
GA
21

Goals

Frequencies across the last 10

Average goals scored

Sevilla

1.30 · 10 matches

Racing Santander

1.57 · 7 matches

Average goals conceded

Sevilla

1.30 · 10 matches

Racing Santander

3.00 · 7 matches

Over 0.5

Sevilla

100% · 10 of 10 matches

Racing Santander

100% · 7 of 7 matches

Over 1.5

Sevilla

60% · 6 of 10 matches

Racing Santander

86% · 6 of 7 matches

Over 2.5

Sevilla

50% · 5 of 10 matches

Racing Santander

86% · 6 of 7 matches

Over 3.5

Sevilla

40% · 4 of 10 matches

Racing Santander

71% · 5 of 7 matches

Both teams scored

Sevilla

60% · 6 of 10 matches

Racing Santander

71% · 5 of 7 matches

Clean sheet

Sevilla

20% · 2 of 10 matches

Racing Santander

0% · 0 of 7 matches

Failed to score

Sevilla

20% · 2 of 10 matches

Racing Santander

29% · 2 of 7 matches

Corners

Volume and observed lines

Average for

Sevilla

3.40 · 10 matches

Racing Santander

4.29 · 7 matches

Average against

Sevilla

3.90 · 10 matches

Racing Santander

9.14 · 7 matches

Total average

Sevilla

7.30 · 10 matches

Racing Santander

13.43 · 7 matches

Over 7.5

Sevilla

50% · 5 of 10 matches

Racing Santander

86% · 6 of 7 matches

Over 8.5

Sevilla

30% · 3 of 10 matches

Racing Santander

86% · 6 of 7 matches

Over 9.5

Sevilla

30% · 3 of 10 matches

Racing Santander

86% · 6 of 7 matches

Over 10.5

Sevilla

10% · 1 of 10 matches

Racing Santander

71% · 5 of 7 matches

Over 11.5

Sevilla

10% · 1 of 10 matches

Racing Santander

71% · 5 of 7 matches

Cards

Averages and frequencies

Team average

Sevilla

2.80 · 10 matches

Racing Santander

2.71 · 7 matches

Opponent average

Sevilla

1.80 · 10 matches

Racing Santander

2.71 · 7 matches

Total average

Sevilla

4.60 · 10 matches

Racing Santander

5.43 · 7 matches

Over 2.5

Sevilla

80% · 8 of 10 matches

Racing Santander

100% · 7 of 7 matches

Over 3.5

Sevilla

60% · 6 of 10 matches

Racing Santander

86% · 6 of 7 matches

Over 4.5

Sevilla

40% · 4 of 10 matches

Racing Santander

71% · 5 of 7 matches

Over 5.5

Sevilla

40% · 4 of 10 matches

Racing Santander

57% · 4 of 7 matches

Fouls

Match intensity

Committed average

Sevilla

14.80 · 10 matches

Racing Santander

14.29 · 7 matches

Opponent average

Sevilla

13.40 · 10 matches

Racing Santander

14.57 · 7 matches

Total average

Sevilla

28.20 · 10 matches

Racing Santander

28.86 · 7 matches

Shots

Production and concessions

Average shots

Sevilla

11.30 · 10 matches

Racing Santander

10.29 · 7 matches

Average shots on target

Sevilla

4.20 · 10 matches

Racing Santander

4.00 · 7 matches

Average shots conceded

Sevilla

10.90 · 10 matches

Racing Santander

16.71 · 7 matches

Average shots on target conceded

Sevilla

3.70 · 10 matches

Racing Santander

7.29 · 7 matches

Average xG

Sevilla

0.92 · 8 matches

Racing Santander

1.48 · 5 matches

Average xG against

Sevilla

1.10 · 8 matches

Racing Santander

1.31 · 5 matches

Home vs away

Sevilla at home × Racing Santander away

Sevilla at home

Sevilla

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

Racing Santander away

Racing Santander

4 matches
LLLL
W
0
D
0
L
4
GF
4
GA
16
Average goals scored

Sevilla at home

1.26 · 23 matches

Racing Santander away

1.00 · 4 matches

Average goals conceded

Sevilla at home

1.39 · 23 matches

Racing Santander away

4.00 · 4 matches

Over 0.5

Sevilla at home

100% · 23 of 23 matches

Racing Santander away

100% · 4 of 4 matches

Over 1.5

Sevilla at home

78% · 18 of 23 matches

Racing Santander away

75% · 3 of 4 matches

Over 2.5

Sevilla at home

57% · 13 of 23 matches

Racing Santander away

75% · 3 of 4 matches

Over 3.5

Sevilla at home

26% · 6 of 23 matches

Racing Santander away

75% · 3 of 4 matches

Both teams scored

Sevilla at home

61% · 14 of 23 matches

Racing Santander away

50% · 2 of 4 matches

Clean sheet

Sevilla at home

17% · 4 of 23 matches

Racing Santander away

0% · 0 of 4 matches

Failed to score

Sevilla at home

22% · 5 of 23 matches

Racing Santander away

50% · 2 of 4 matches

Total corner average

Sevilla at home

7.83 · 23 matches

Racing Santander away

13.25 · 4 matches

Over 8.5 corners

Sevilla at home

39% · 9 of 23 matches

Racing Santander away

75% · 3 of 4 matches

Total card average

Sevilla at home

5.48 · 23 matches

Racing Santander away

5.75 · 4 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

Racing Santander

M. Zabiri

Forward

7.12

7 matches · 386 min

6 goals · 0 assists · 8 of 10 shots on target

Iñigo Vicente

Midfielder

7.17

7 matches · 544 min

0 goals · 2 assists · 1 of 4 shots on target

Andrés Martín

Forward

6.83

3 matches · 239 min

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

Sergio Canales

Midfielder

6.58

7 matches · 507 min

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

Jorge Salinas

Centre-back

6.57

7 matches · 544 min

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

Julen Agirrezabala

Goalkeeper

6.91

7 matches · 630 min

30 saves · 9 goals conceded

Laro Gómez

Goalkeeper

0.00

2 matches · 0 min

0 saves · 0 goals conceded

H2H

Recent meetings

Insufficient data

Combined view

Data convergences

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

Descriptive analysis based exclusively on available frequencies.