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Vitoria vs Santos: statistics and analysis

BRASILEIRÃO 2026 · PRE-MATCH ANALYSIS

Brasileirão 2026 · Round 37

· LONDON TIME · Barradao · Referee: not provided

Use the scopes and indicators below to understand both teams’ current form. Statistics provide context, but do not determine the outcome.

Vitoria

Vitoria

13 · 33 pts · 28 P · 9 W · 6 D · 13 L · 28:42 · GD -14

VS
Santos

Santos

8 · 38 pts · 27 P · 10 W · 8 D · 9 L · 41:40 · 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

81.9%

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

Model factors

  • League average — goals: 2.69

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.08 × 1.64

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

  • Opponent strength: 1468 × 1516

    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: 63.3

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

  • Sample per team: 28 / 27

    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: 1.06 × 1.62

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

  • Model expected goals: 1.08 × 1.64

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

  • Signal consensus: 80.9

    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 81.9%, medium confidence and a sample of 27 matches per team.

League average — goals: 2.69 (Weighted average using only matches played before the fixture.) Home/away strength: 1.08 × 1.64 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1468 × 1516 (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

75.4%

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

Model factors

  • League average — metric: 4.64

    Weighted average using only matches played before the fixture.

  • Home/away strength: 2.08 × 3.08

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

  • Opponent strength: 1468 × 1516

    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: 70.1

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

  • Sample per team: 27 / 27

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

  • Historical coverage: 98.2%

    Share of previous matches with complete data for this market.

  • Model expected metric: 5.16

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

  • Signal consensus: 96.7

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 3.5 yellow cards has a model probability of 75.4%, medium confidence and a sample of 27 matches per team.

League average — metric: 4.64 (Weighted average using only matches played before the fixture.) Home/away strength: 2.08 × 3.08 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1468 × 1516 (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 4.5 yellow cards

59.1%

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

Model factors

  • League average — metric: 4.64

    Weighted average using only matches played before the fixture.

  • Home/away strength: 2.08 × 3.08

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

  • Opponent strength: 1468 × 1516

    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: 70.1

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

  • Sample per team: 27 / 27

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

  • Historical coverage: 98.2%

    Share of previous matches with complete data for this market.

  • Model expected metric: 5.16

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

  • Signal consensus: 93.7

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 4.5 yellow cards has a model probability of 59.1%, medium confidence and a sample of 27 matches per team.

League average — metric: 4.64 (Weighted average using only matches played before the fixture.) Home/away strength: 2.08 × 3.08 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1468 × 1516 (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

50.6%

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

Model factors

  • League average — goals: 2.69

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.08 × 1.64

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

  • Opponent strength: 1468 × 1516

    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: 63.3

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

  • Sample per team: 28 / 27

    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: 1.06 × 1.62

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

  • Model expected goals: 1.08 × 1.64

    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: 27.8

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance 1X has a model probability of 50.6%, medium confidence and a sample of 27 matches per team.

League average — goals: 2.69 (Weighted average using only matches played before the fixture.) Home/away strength: 1.08 × 1.64 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1468 × 1516 (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

74.5%

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

Model factors

  • League average — goals: 2.69

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.08 × 1.64

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

  • Opponent strength: 1468 × 1516

    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: 63.3

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

  • Sample per team: 28 / 27

    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: 1.06 × 1.62

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

  • Model expected goals: 1.08 × 1.64

    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: 26.3

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance X2 has a model probability of 74.5%, medium confidence and a sample of 27 matches per team.

League average — goals: 2.69 (Weighted average using only matches played before the fixture.) Home/away strength: 1.08 × 1.64 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1468 × 1516 (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

93.6%

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

Model factors

  • League average — goals: 2.69

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.08 × 1.64

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

  • Opponent strength: 1468 × 1516

    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: 63.3

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

  • Sample per team: 28 / 27

    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: 1.06 × 1.62

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

  • Model expected goals: 1.08 × 1.64

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

  • Signal consensus: 96.3

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 0.5 goals has a model probability of 93.6%, medium confidence and a sample of 27 matches per team.

League average — goals: 2.69 (Weighted average using only matches played before the fixture.) Home/away strength: 1.08 × 1.64 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1468 × 1516 (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

93.2%

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

Model factors

  • League average — shots: 27.98

    Weighted average using only matches played before the fixture.

  • Home/away strength: 13.14 × 15.99

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

  • Opponent strength: 1468 × 1516

    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: 84.4

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

  • Sample per team: 28 / 27

    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: 29.13

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

  • Signal consensus: 74.4

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 20.5 shots has a model probability of 93.2%, medium confidence and a sample of 27 matches per team.

League average — shots: 27.98 (Weighted average using only matches played before the fixture.) Home/away strength: 13.14 × 15.99 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1468 × 1516 (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

79.4%

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

Model factors

  • League average — shots on target: 9.15

    Weighted average using only matches played before the fixture.

  • Home/away strength: 4.09 × 4.88

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

  • Opponent strength: 1468 × 1516

    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: 78

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

  • Sample per team: 28 / 27

    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: 8.97

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

  • Signal consensus: 95.8

    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 79.4%, medium confidence and a sample of 27 matches per team.

League average — shots on target: 9.15 (Weighted average using only matches played before the fixture.) Home/away strength: 4.09 × 4.88 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1468 × 1516 (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

49.4%

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

Model factors

  • League average — goals: 2.69

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.08 × 1.64

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

  • Opponent strength: 1468 × 1516

    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: 63.3

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

  • Sample per team: 28 / 27

    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: 1.06 × 1.62

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

  • Model expected goals: 1.08 × 1.64

    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: 27.8

    Agreement between the parametric model and the smoothed empirical frequency.

Draw

25.1%

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

Model factors

  • League average — goals: 2.69

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.08 × 1.64

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

  • Opponent strength: 1468 × 1516

    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: 63.3

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

  • Sample per team: 28 / 27

    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: 1.06 × 1.62

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

  • Model expected goals: 1.08 × 1.64

    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: 98.9

    Agreement between the parametric model and the smoothed empirical frequency.

Home win

25.5%

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

Model factors

  • League average — goals: 2.69

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.08 × 1.64

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

  • Opponent strength: 1468 × 1516

    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: 63.3

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

  • Sample per team: 28 / 27

    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: 1.06 × 1.62

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

  • Model expected goals: 1.08 × 1.64

    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: 26.3

    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, Vitoria recorded 2 wins, 2 draws and 6 defeats and averaged 0.60 goals scored per match. Santos's 10-match sample contains 6 wins, 2 draws and 2 defeats, with 1.80 goals scored per match.

The venue split shows Vitoria at home with 9 wins, 1 draw and 4 defeats in 14 matches, averaging 1.29 goals scored and 0.86 goals conceded. Away from home, Santos has 4 wins, 4 draws and 5 defeats in 13 matches, with 1.62 goals scored and 1.69 goals conceded.

Both teams scored in 3 of 10 matches (30%) of Vitoria's sample and 7 of 10 matches (70%) of Santos's. Over 2.5 goals occurred in 4 of 10 matches (40%) and 7 of 10 matches (70%), respectively.

Shot volume separates the sides at 13.50 per match for Vitoria and 15.70 for Santos. On target, the averages are 4.00 and 5.40, 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

Vitoria

5 matches
LDWLL
W
1
D
1
L
3
GF
5
GA
9

Last 5

Santos

5 matches
WWWWD
W
4
D
1
L
0
GF
9
GA
5

Last 10

Vitoria

10 matches
LDWLLWLLLD
W
2
D
2
L
6
GF
6
GA
17

Last 10

Santos

10 matches
WWWWDWLDLW
W
6
D
2
L
2
GF
18
GA
12

Last 20

Vitoria

20 matches
LDWLLWLLLDWLWLDWLDWD
W
6
D
5
L
9
GF
20
GA
29

Last 20

Santos

20 matches
WWWWDWLDLWLLWDDLWLWD
W
9
D
5
L
6
GF
31
GA
27

Season

Vitoria

28 matches
LDWLLWLLLDWLWLDWLDWDLWLWDLLW
W
9
D
6
L
13
GF
28
GA
42

Season

Santos

27 matches
WWWWDWLDLWLLWDDLWLWDLDDWLDL
W
10
D
8
L
9
GF
41
GA
40

Goals

Frequencies across the last 10

Average goals scored

Vitoria

0.60 · 10 matches

Santos

1.80 · 10 matches

Average goals conceded

Vitoria

1.70 · 10 matches

Santos

1.20 · 10 matches

Over 0.5

Vitoria

90% · 9 of 10 matches

Santos

100% · 10 of 10 matches

Over 1.5

Vitoria

70% · 7 of 10 matches

Santos

90% · 9 of 10 matches

Over 2.5

Vitoria

40% · 4 of 10 matches

Santos

70% · 7 of 10 matches

Over 3.5

Vitoria

30% · 3 of 10 matches

Santos

30% · 3 of 10 matches

Both teams scored

Vitoria

30% · 3 of 10 matches

Santos

70% · 7 of 10 matches

Clean sheet

Vitoria

30% · 3 of 10 matches

Santos

20% · 2 of 10 matches

Failed to score

Vitoria

50% · 5 of 10 matches

Santos

10% · 1 of 10 matches

Corners

Volume and observed lines

Average for

Vitoria

5.80 · 10 matches

Santos

6.00 · 10 matches

Average against

Vitoria

5.20 · 10 matches

Santos

4.20 · 10 matches

Total average

Vitoria

11.00 · 10 matches

Santos

10.20 · 10 matches

Over 7.5

Vitoria

80% · 8 of 10 matches

Santos

80% · 8 of 10 matches

Over 8.5

Vitoria

80% · 8 of 10 matches

Santos

80% · 8 of 10 matches

Over 9.5

Vitoria

60% · 6 of 10 matches

Santos

50% · 5 of 10 matches

Over 10.5

Vitoria

50% · 5 of 10 matches

Santos

40% · 4 of 10 matches

Over 11.5

Vitoria

50% · 5 of 10 matches

Santos

40% · 4 of 10 matches

Cards

Averages and frequencies

Team average

Vitoria

2.00 · 10 matches

Santos

2.60 · 10 matches

Opponent average

Vitoria

2.80 · 10 matches

Santos

3.00 · 10 matches

Total average

Vitoria

4.80 · 10 matches

Santos

5.60 · 10 matches

Over 2.5

Vitoria

80% · 8 of 10 matches

Santos

80% · 8 of 10 matches

Over 3.5

Vitoria

60% · 6 of 10 matches

Santos

80% · 8 of 10 matches

Over 4.5

Vitoria

50% · 5 of 10 matches

Santos

80% · 8 of 10 matches

Over 5.5

Vitoria

30% · 3 of 10 matches

Santos

60% · 6 of 10 matches

Fouls

Match intensity

Committed average

Vitoria

12.50 · 10 matches

Santos

13.70 · 10 matches

Opponent average

Vitoria

15.20 · 10 matches

Santos

11.90 · 10 matches

Total average

Vitoria

27.70 · 10 matches

Santos

25.60 · 10 matches

Shots

Production and concessions

Average shots

Vitoria

13.50 · 10 matches

Santos

15.70 · 10 matches

Average shots on target

Vitoria

4.00 · 10 matches

Santos

5.40 · 10 matches

Average shots conceded

Vitoria

18.40 · 10 matches

Santos

13.20 · 10 matches

Average shots on target conceded

Vitoria

6.20 · 10 matches

Santos

4.50 · 10 matches

Average xG

Vitoria

0.82 · 7 matches

Santos

1.51 · 7 matches

Average xG against

Vitoria

1.60 · 7 matches

Santos

1.08 · 7 matches

Home vs away

Vitoria at home × Santos away

Vitoria at home

Vitoria

14 matches
LWLWLWWWDWWWLW
W
9
D
1
L
4
GF
18
GA
12

Santos away

Santos

13 matches
WWWWLLDDLDDLL
W
4
D
4
L
5
GF
21
GA
22
Average goals scored

Vitoria at home

1.29 · 14 matches

Santos away

1.62 · 13 matches

Average goals conceded

Vitoria at home

0.86 · 14 matches

Santos away

1.69 · 13 matches

Over 0.5

Vitoria at home

93% · 13 of 14 matches

Santos away

92% · 12 of 13 matches

Over 1.5

Vitoria at home

64% · 9 of 14 matches

Santos away

85% · 11 of 13 matches

Over 2.5

Vitoria at home

29% · 4 of 14 matches

Santos away

77% · 10 of 13 matches

Over 3.5

Vitoria at home

21% · 3 of 14 matches

Santos away

46% · 6 of 13 matches

Both teams scored

Vitoria at home

21% · 3 of 14 matches

Santos away

77% · 10 of 13 matches

Clean sheet

Vitoria at home

64% · 9 of 14 matches

Santos away

23% · 3 of 13 matches

Failed to score

Vitoria at home

21% · 3 of 14 matches

Santos away

8% · 1 of 13 matches

Total corner average

Vitoria at home

8.64 · 14 matches

Santos away

10.00 · 13 matches

Over 8.5 corners

Vitoria at home

50% · 7 of 14 matches

Santos away

77% · 10 of 13 matches

Total card average

Vitoria at home

5.46 · 13 matches

Santos away

4.85 · 13 matches

Players and goalkeepers

Pre-match highlights

Vitoria

Rene

Forward

7.02

21 matches · 1436 min

9 goals · 1 assists · 27 of 42 shots on target

Erick

Midfielder

7.01

26 matches · 1826 min

3 goals · 5 assists · 11 of 23 shots on target

Gabriel Baralhas

Midfielder

6.87

18 matches · 1580 min

2 goals · 3 assists · 5 of 16 shots on target

Matheuzinho

Midfielder

6.57

26 matches · 1561 min

3 goals · 2 assists · 16 of 31 shots on target

Renato Kayzer

Forward

6.15

20 matches · 823 min

4 goals · 1 assists · 9 of 17 shots on target

Lucas Arcanjo

Goalkeeper

7.14

24 matches · 2220 min

91 saves · 26 goals conceded

Yuri Sena

Goalkeeper

0.00

3 matches · 0 min

0 saves · 0 goals conceded

Santos

Gabriel Barbosa

Forward

7.16

19 matches · 1398 min

11 goals · 3 assists · 13 of 31 shots on target

Neymar

Forward

7.63

12 matches · 1054 min

6 goals · 3 assists · 18 of 34 shots on target

B. Rollheiser

Midfielder

6.80

22 matches · 885 min

4 goals · 2 assists · 8 of 18 shots on target

Á. Barreal

Forward

6.78

21 matches · 1437 min

5 goals · 1 assists · 13 of 27 shots on target

C. Oliva

Midfielder

6.81

20 matches · 1275 min

2 goals · 2 assists · 3 of 10 shots on target

Gabriel Brazão

Goalkeeper

6.69

24 matches · 2194 min

68 saves · 34 goals conceded

Diógenes

Goalkeeper

4.23

5 matches · 276 min

9 saves · 2 goals conceded

H2H

Recent meetings

Santos 3 × 1 Vitoria1492288
Average goals
4.00 · 1 match
Both teams scored
100% · 1 of 1 matches
Over 2.5
100% · 1 of 1 matches

H2H corners: 6.00 · 1 match

Combined view

Data convergences

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

Descriptive analysis based exclusively on available frequencies.