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Celta Vigo vs Sevilla: statistics and analysis

LA LIGA 2026/27 · PRE-MATCH ANALYSIS

Round 34

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

Celta Vigo

Celta Vigo

14 · 7 pts · 7 P · 1 W · 4 D · 2 L · GD 2

VSSevilla

Sevilla

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

Statistical engine · radaronze-v1

RadarOnze analysis

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

View in the Betting Centre

Away team to score 1+ goals

72.7%

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

Model factors

  • League average — goals: 2.76

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.48 × 1.31

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

  • Opponent strength: 1496 × 1486

    Chronological Elo adjustment with no future matches used.

  • Recency: 120-day half-life

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

  • Historical stability: 61.4

    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: 1.39 × 1.11

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

  • Model expected goals: 1.46 × 1.25

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

  • Signal consensus: 83.3

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Away team to score 1+ goals has a model probability of 72.7%, high confidence and a sample of 45 matches per team.

League average — goals: 2.76 (Weighted average using only matches played before the fixture.) Home/away strength: 1.48 × 1.31 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1496 × 1486 (Chronological Elo adjustment with no future matches used.)

No current market price is available for this signal.

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

Both teams to score

55.8%

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

Model factors

  • League average — goals: 2.76

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.48 × 1.31

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

  • Opponent strength: 1496 × 1486

    Chronological Elo adjustment with no future matches used.

  • Recency: 120-day half-life

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

  • Historical stability: 61.4

    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: 1.39 × 1.11

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

  • Model expected goals: 1.46 × 1.25

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

  • Signal consensus: 86.8

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Both teams to score has a model probability of 55.8%, high confidence and a sample of 45 matches per team.

League average — goals: 2.76 (Weighted average using only matches played before the fixture.) Home/away strength: 1.48 × 1.31 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1496 × 1486 (Chronological Elo adjustment with no future matches used.)

No current market price is available for this signal.

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

Over 3.5 yellow cards

64.3%

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

Model factors

  • League average — metric: 4.44

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.79 × 2.66

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

  • Opponent strength: 1496 × 1486

    Chronological Elo adjustment with no future matches used.

  • Recency: 120-day half-life

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

  • Historical stability: 67.6

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

  • Sample per team: 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: 4.44

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

  • Signal consensus: 93.6

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 3.5 yellow cards has a model probability of 64.3%, high confidence and a sample of 45 matches per team.

League average — metric: 4.44 (Weighted average using only matches played before the fixture.) Home/away strength: 1.79 × 2.66 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1496 × 1486 (Chronological Elo adjustment with no future matches used.)

No current market price is available for this signal.

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

Double chance 12

73.9%

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

Model factors

  • League average — goals: 2.76

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.48 × 1.31

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

  • Opponent strength: 1496 × 1486

    Chronological Elo adjustment with no future matches used.

  • Recency: 120-day half-life

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

  • Historical stability: 61.4

    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: 1.39 × 1.11

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

  • Model expected goals: 1.46 × 1.25

    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: 97.9

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance 12 has a model probability of 73.9%, high confidence and a sample of 45 matches per team.

League average — goals: 2.76 (Weighted average using only matches played before the fixture.) Home/away strength: 1.48 × 1.31 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1496 × 1486 (Chronological Elo adjustment with no future matches used.)

No current market price is available for this signal.

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

Double chance 1X

67.4%

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

Model factors

  • League average — goals: 2.76

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.48 × 1.31

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

  • Opponent strength: 1496 × 1486

    Chronological Elo adjustment with no future matches used.

  • Recency: 120-day half-life

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

  • Historical stability: 61.4

    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: 1.39 × 1.11

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

  • Model expected goals: 1.46 × 1.25

    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: 90.9

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance 1X has a model probability of 67.4%, high confidence and a sample of 45 matches per team.

League average — goals: 2.76 (Weighted average using only matches played before the fixture.) Home/away strength: 1.48 × 1.31 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1496 × 1486 (Chronological Elo adjustment with no future matches used.)

No current market price is available for this signal.

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

Double chance X2

58.6%

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

Model factors

  • League average — goals: 2.76

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.48 × 1.31

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

  • Opponent strength: 1496 × 1486

    Chronological Elo adjustment with no future matches used.

  • Recency: 120-day half-life

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

  • Historical stability: 61.4

    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: 1.39 × 1.11

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

  • Model expected goals: 1.46 × 1.25

    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: 89.1

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance X2 has a model probability of 58.6%, high confidence and a sample of 45 matches per team.

League average — goals: 2.76 (Weighted average using only matches played before the fixture.) Home/away strength: 1.48 × 1.31 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1496 × 1486 (Chronological Elo adjustment with no future matches used.)

No current market price is available for this signal.

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

Over 0.5 goals

93.7%

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

Model factors

  • League average — goals: 2.76

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.48 × 1.31

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

  • Opponent strength: 1496 × 1486

    Chronological Elo adjustment with no future matches used.

  • Recency: 120-day half-life

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

  • Historical stability: 61.4

    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: 1.39 × 1.11

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

  • Model expected goals: 1.46 × 1.25

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

  • Signal consensus: 95

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 0.5 goals has a model probability of 93.7%, high confidence and a sample of 45 matches per team.

League average — goals: 2.76 (Weighted average using only matches played before the fixture.) Home/away strength: 1.48 × 1.31 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1496 × 1486 (Chronological Elo adjustment with no future matches used.)

No current market price is available for this signal.

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

Over 1.5 goals

76.0%

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

Model factors

  • League average — goals: 2.76

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.48 × 1.31

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

  • Opponent strength: 1496 × 1486

    Chronological Elo adjustment with no future matches used.

  • Recency: 120-day half-life

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

  • Historical stability: 61.4

    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: 1.39 × 1.11

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

  • Model expected goals: 1.46 × 1.25

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

  • Signal consensus: 90.8

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 1.5 goals has a model probability of 76.0%, high confidence and a sample of 45 matches per team.

League average — goals: 2.76 (Weighted average using only matches played before the fixture.) Home/away strength: 1.48 × 1.31 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1496 × 1486 (Chronological Elo adjustment with no future matches used.)

No current market price is available for this signal.

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

Home team to score 2+ goals

40.9%

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

Model factors

  • League average — goals: 2.76

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.48 × 1.31

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

  • Opponent strength: 1496 × 1486

    Chronological Elo adjustment with no future matches used.

  • Recency: 120-day half-life

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

  • Historical stability: 61.4

    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: 1.39 × 1.11

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

  • Model expected goals: 1.46 × 1.25

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

  • Signal consensus: 75

    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 40.9%, medium confidence and a sample of 45 matches per team.

League average — goals: 2.76 (Weighted average using only matches played before the fixture.) Home/away strength: 1.48 × 1.31 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1496 × 1486 (Chronological Elo adjustment with no future matches used.)

No current market price is available for this signal.

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

Over 20.5 shots

62.0%

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

Model factors

  • League average — shots: 25.26

    Weighted average using only matches played before the fixture.

  • Home/away strength: 10.10 × 11.78

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

  • Opponent strength: 1496 × 1486

    Chronological Elo adjustment with no future matches used.

  • Recency: 120-day half-life

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

  • Historical stability: 83.7

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

  • Sample per team: 45 / 45

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

  • Historical coverage: 100.0%

    Share of previous matches with complete data for this market.

  • Model expected shots: 21.88

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

  • Signal consensus: 77.7

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 20.5 shots has a model probability of 62.0%, high confidence and a sample of 45 matches per team.

League average — shots: 25.26 (Weighted average using only matches played before the fixture.) Home/away strength: 10.10 × 11.78 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1496 × 1486 (Chronological Elo adjustment with no future matches used.)

No current market price is available for this signal.

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

Over 6.5 shots on target

69.0%

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

Model factors

  • League average — shots on target: 8.81

    Weighted average using only matches played before the fixture.

  • Home/away strength: 4.10 × 3.90

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

  • Opponent strength: 1496 × 1486

    Chronological Elo adjustment with no future matches used.

  • Recency: 120-day half-life

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

  • Historical stability: 76.5

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

  • Sample per team: 45 / 45

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

  • Historical coverage: 100.0%

    Share of previous matches with complete data for this market.

  • Model expected shots on target: 7.99

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

  • Signal consensus: 94.8

    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 69.0%, high confidence and a sample of 45 matches per team.

League average — shots on target: 8.81 (Weighted average using only matches played before the fixture.) Home/away strength: 4.10 × 3.90 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1496 × 1486 (Chronological Elo adjustment with no future matches used.)

No current market price is available for this signal.

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

Result probabilities — 1X2Complementary statistical view. It does not take part in top signals or tickets.

Away win

32.6%

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

Model factors

  • League average — goals: 2.76

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.48 × 1.31

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

  • Opponent strength: 1496 × 1486

    Chronological Elo adjustment with no future matches used.

  • Recency: 120-day half-life

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

  • Historical stability: 61.4

    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: 1.39 × 1.11

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

  • Model expected goals: 1.46 × 1.25

    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: 90.9

    Agreement between the parametric model and the smoothed empirical frequency.

Draw

26.1%

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

Model factors

  • League average — goals: 2.76

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.48 × 1.31

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

  • Opponent strength: 1496 × 1486

    Chronological Elo adjustment with no future matches used.

  • Recency: 120-day half-life

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

  • Historical stability: 61.4

    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: 1.39 × 1.11

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

  • Model expected goals: 1.46 × 1.25

    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: 97.9

    Agreement between the parametric model and the smoothed empirical frequency.

Home win

41.4%

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

Model factors

  • League average — goals: 2.76

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.48 × 1.31

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

  • Opponent strength: 1496 × 1486

    Chronological Elo adjustment with no future matches used.

  • Recency: 120-day half-life

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

  • Historical stability: 61.4

    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: 1.39 × 1.11

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

  • Model expected goals: 1.46 × 1.25

    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: 89.1

    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, Celta Vigo recorded 2 wins, 5 draws and 3 defeats and averaged 1.20 goals scored per match. Sevilla's 10-match sample contains 5 wins, 1 draw and 4 defeats, with 1.30 goals scored per match.

The venue split shows Celta Vigo at home with 7 wins, 6 draws and 10 defeats in 23 matches, averaging 1.57 goals scored and 1.43 goals conceded. Away from home, Sevilla has 7 wins, 4 draws and 11 defeats in 22 matches, with 1.23 goals scored and 1.68 goals conceded.

Both teams scored in 5 of 10 matches (50%) of Celta Vigo's sample and 6 of 10 matches (60%) of Sevilla's. Over 2.5 goals occurred in 3 of 10 matches (30%) and 5 of 10 matches (50%), respectively.

Shot volume separates the sides at 9.80 per match for Celta Vigo and 11.30 for Sevilla. On target, the averages are 3.70 and 4.20, respectively.

Historical frequencies describe the available sample; they are not a promise or certainty about a future result.

Form

Recent form and season

Last 5

Celta Vigo

5 matches
WDDDL
W
1
D
3
L
1
GF
7
GA
4

Last 5

Sevilla

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

Last 10

Celta Vigo

10 matches
WDDDLLDWDL
W
2
D
5
L
3
GF
12
GA
10

Last 10

Sevilla

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

Last 20

Celta Vigo

20 matches
WDDDLLDWDLWWLLLWLDLW
W
6
D
6
L
8
GF
27
GA
27

Last 20

Sevilla

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

Season

Celta Vigo

45 matches
WDDDLLDWDLWWLLLWLDLWWDLDLWWWDWWLWLWWDDLDDDDDL
W
15
D
16
L
14
GF
61
GA
54

Season

Sevilla

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

Goals

Frequencies across the last 10

Average goals scored

Celta Vigo

1.20 · 10 matches

Sevilla

1.30 · 10 matches

Average goals conceded

Celta Vigo

1.00 · 10 matches

Sevilla

1.30 · 10 matches

Over 0.5

Celta Vigo

80% · 8 of 10 matches

Sevilla

100% · 10 of 10 matches

Over 1.5

Celta Vigo

70% · 7 of 10 matches

Sevilla

60% · 6 of 10 matches

Over 2.5

Celta Vigo

30% · 3 of 10 matches

Sevilla

50% · 5 of 10 matches

Over 3.5

Celta Vigo

20% · 2 of 10 matches

Sevilla

40% · 4 of 10 matches

Both teams scored

Celta Vigo

50% · 5 of 10 matches

Sevilla

60% · 6 of 10 matches

Clean sheet

Celta Vigo

40% · 4 of 10 matches

Sevilla

20% · 2 of 10 matches

Failed to score

Celta Vigo

30% · 3 of 10 matches

Sevilla

20% · 2 of 10 matches

Corners

Volume and observed lines

Average for

Celta Vigo

3.10 · 10 matches

Sevilla

3.40 · 10 matches

Average against

Celta Vigo

4.50 · 10 matches

Sevilla

3.90 · 10 matches

Total average

Celta Vigo

7.60 · 10 matches

Sevilla

7.30 · 10 matches

Over 7.5

Celta Vigo

50% · 5 of 10 matches

Sevilla

50% · 5 of 10 matches

Over 8.5

Celta Vigo

20% · 2 of 10 matches

Sevilla

30% · 3 of 10 matches

Over 9.5

Celta Vigo

20% · 2 of 10 matches

Sevilla

30% · 3 of 10 matches

Over 10.5

Celta Vigo

20% · 2 of 10 matches

Sevilla

10% · 1 of 10 matches

Over 11.5

Celta Vigo

10% · 1 of 10 matches

Sevilla

10% · 1 of 10 matches

Cards

Averages and frequencies

Team average

Celta Vigo

1.60 · 10 matches

Sevilla

2.80 · 10 matches

Opponent average

Celta Vigo

2.40 · 10 matches

Sevilla

1.80 · 10 matches

Total average

Celta Vigo

4.00 · 10 matches

Sevilla

4.60 · 10 matches

Over 2.5

Celta Vigo

70% · 7 of 10 matches

Sevilla

80% · 8 of 10 matches

Over 3.5

Celta Vigo

50% · 5 of 10 matches

Sevilla

60% · 6 of 10 matches

Over 4.5

Celta Vigo

40% · 4 of 10 matches

Sevilla

40% · 4 of 10 matches

Over 5.5

Celta Vigo

20% · 2 of 10 matches

Sevilla

40% · 4 of 10 matches

Fouls

Match intensity

Committed average

Celta Vigo

10.40 · 10 matches

Sevilla

14.80 · 10 matches

Opponent average

Celta Vigo

13.80 · 10 matches

Sevilla

13.40 · 10 matches

Total average

Celta Vigo

24.20 · 10 matches

Sevilla

28.20 · 10 matches

Shots

Production and concessions

Average shots

Celta Vigo

9.80 · 10 matches

Sevilla

11.30 · 10 matches

Average shots on target

Celta Vigo

3.70 · 10 matches

Sevilla

4.20 · 10 matches

Average shots conceded

Celta Vigo

13.70 · 10 matches

Sevilla

10.90 · 10 matches

Average shots on target conceded

Celta Vigo

4.50 · 10 matches

Sevilla

3.70 · 10 matches

Average xG

Celta Vigo

0.98 · 9 matches

Sevilla

0.92 · 8 matches

Average xG against

Celta Vigo

1.43 · 9 matches

Sevilla

1.10 · 8 matches

Home vs away

Celta Vigo at home × Sevilla away

Celta Vigo at home

Celta Vigo

23 matches
WDLLWLWLLLWLWWWLLDDDDDL
W
7
D
6
L
10
GF
36
GA
33

Sevilla away

Sevilla

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

Celta Vigo at home

1.57 · 23 matches

Sevilla away

1.23 · 22 matches

Average goals conceded

Celta Vigo at home

1.43 · 23 matches

Sevilla away

1.68 · 22 matches

Over 0.5

Celta Vigo at home

100% · 23 of 23 matches

Sevilla away

100% · 22 of 22 matches

Over 1.5

Celta Vigo at home

91% · 21 of 23 matches

Sevilla away

77% · 17 of 22 matches

Over 2.5

Celta Vigo at home

48% · 11 of 23 matches

Sevilla away

55% · 12 of 22 matches

Over 3.5

Celta Vigo at home

26% · 6 of 23 matches

Sevilla away

32% · 7 of 22 matches

Both teams scored

Celta Vigo at home

61% · 14 of 23 matches

Sevilla away

59% · 13 of 22 matches

Clean sheet

Celta Vigo at home

22% · 5 of 23 matches

Sevilla away

18% · 4 of 22 matches

Failed to score

Celta Vigo at home

17% · 4 of 23 matches

Sevilla away

23% · 5 of 22 matches

Total corner average

Celta Vigo at home

8.26 · 23 matches

Sevilla away

10.14 · 22 matches

Over 8.5 corners

Celta Vigo at home

39% · 9 of 23 matches

Sevilla away

59% · 13 of 22 matches

Total card average

Celta Vigo at home

4.13 · 23 matches

Sevilla away

4.86 · 22 matches

Players and goalkeepers

Pre-match highlights

Celta Vigo

Miguel Román

Midfielder

7.37

7 matches · 579 min

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

Hugo González

Forward

7.03

4 matches · 235 min

1 goals · 2 assists · 4 of 6 shots on target

Hugo Álvarez

Midfielder

6.88

5 matches · 279 min

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

Pablo Durán

Forward

6.77

5 matches · 246 min

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

I. Moriba

Midfielder

6.94

7 matches · 492 min

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

I. Radu

Goalkeeper

7.26

7 matches · 630 min

21 saves · 6 goals conceded

A. Bayındır

Goalkeeper

0.00

1 matches · 0 min

0 saves · 0 goals conceded

Sevilla

M. Sierra

Midfielder

7.12

7 matches · 496 min

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

Isaac

Forward

6.70

6 matches · 211 min

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

Juan Iglesias

Centre-back

6.88

7 matches · 630 min

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

Y. Fofana

Midfielder

6.70

4 matches · 276 min

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

L. Stassin

Forward

6.68

3 matches · 195 min

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

O. Vlachodimos

Goalkeeper

6.76

7 matches · 630 min

20 saves · 6 goals conceded

Fran González

Goalkeeper

0.00

2 matches · 0 min

0 saves · 0 goals conceded

H2H

Recent meetings

Celta Vigo 1 × 0 Sevilla1391191
Sevilla 0 × 1 Celta Vigo1391006
Average goals
1.00 · 2 matches
Both teams scored
0% · 0 of 2 matches
Over 2.5
0% · 0 of 2 matches

H2H corners: 7.00 · 2 matches

Combined view

Data convergences

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

Descriptive analysis based exclusively on available frequencies.