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Vitoria vs Fluminense: statistics and analysis

BRASILEIRÃO 2026 · PRE-MATCH ANALYSIS

Brasileirão 2026 · Round 34

· 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
Fluminense

Fluminense

4 · 48 pts · 28 P · 13 W · 9 D · 6 L · 44:36 · GD 8

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

82.0%

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

Model factors

  • League average — goals: 2.69

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.05 × 1.67

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

  • Opponent strength: 1468 × 1550

    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 / 28

    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: 0.91 × 1.55

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

  • Model expected goals: 1.01 × 1.63

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

  • Signal consensus: 79.9

    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 82.0%, medium confidence and a sample of 28 matches per team.

League average — goals: 2.69 (Weighted average using only matches played before the fixture.) Home/away strength: 1.05 × 1.67 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1468 × 1550 (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

76.7%

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: 2.18 × 3.16

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

  • Opponent strength: 1468 × 1550

    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 / 28

    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: 5.34

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

  • Signal consensus: 82.8

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 3.5 yellow cards has a model probability of 76.7%, 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: 2.18 × 3.16 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1468 × 1550 (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

61.1%

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: 2.18 × 3.16

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

  • Opponent strength: 1468 × 1550

    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 / 28

    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: 5.34

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

  • Signal consensus: 92.1

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 4.5 yellow cards has a model probability of 61.1%, 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: 2.18 × 3.16 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1468 × 1550 (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

49.3%

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

Model factors

  • League average — goals: 2.69

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.05 × 1.67

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

  • Opponent strength: 1468 × 1550

    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 / 28

    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: 0.91 × 1.55

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

  • Model expected goals: 1.01 × 1.63

    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: 0

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance 1X has a model probability of 49.3%, medium confidence and a sample of 28 matches per team.

League average — goals: 2.69 (Weighted average using only matches played before the fixture.) Home/away strength: 1.05 × 1.67 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1468 × 1550 (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

75.9%

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

Model factors

  • League average — goals: 2.69

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.05 × 1.67

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

  • Opponent strength: 1468 × 1550

    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 / 28

    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: 0.91 × 1.55

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

  • Model expected goals: 1.01 × 1.63

    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: 0.3

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance X2 has a model probability of 75.9%, medium confidence and a sample of 28 matches per team.

League average — goals: 2.69 (Weighted average using only matches played before the fixture.) Home/away strength: 1.05 × 1.67 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1468 × 1550 (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

93.1%

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

Model factors

  • League average — goals: 2.69

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.05 × 1.67

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

  • Opponent strength: 1468 × 1550

    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 / 28

    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: 0.91 × 1.55

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

  • Model expected goals: 1.01 × 1.63

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

  • Signal consensus: 97.4

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 0.5 goals has a model probability of 93.1%, medium confidence and a sample of 28 matches per team.

League average — goals: 2.69 (Weighted average using only matches played before the fixture.) Home/away strength: 1.05 × 1.67 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1468 × 1550 (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

93.8%

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

Model factors

  • League average — shots: 27.98

    Weighted average using only matches played before the fixture.

  • Home/away strength: 12.63 × 16.52

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

  • Opponent strength: 1468 × 1550

    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 / 28

    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: 29.14

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

  • Signal consensus: 82.2

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 20.5 shots has a model probability of 93.8%, medium confidence and a sample of 28 matches per team.

League average — shots: 27.98 (Weighted average using only matches played before the fixture.) Home/away strength: 12.63 × 16.52 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1468 × 1550 (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

88.9%

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

Model factors

  • League average — shots on target: 9.14

    Weighted average using only matches played before the fixture.

  • Home/away strength: 4.64 × 5.69

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

  • Opponent strength: 1468 × 1550

    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: 77.9

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

  • Sample per team: 28 / 28

    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: 10.34

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

  • Signal consensus: 99.8

    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 88.9%, medium confidence and a sample of 28 matches per team.

League average — shots on target: 9.14 (Weighted average using only matches played before the fixture.) Home/away strength: 4.64 × 5.69 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1468 × 1550 (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

50.7%

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

Model factors

  • League average — goals: 2.69

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.05 × 1.67

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

  • Opponent strength: 1468 × 1550

    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 / 28

    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: 0.91 × 1.55

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

  • Model expected goals: 1.01 × 1.63

    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: 0

    Agreement between the parametric model and the smoothed empirical frequency.

Draw

25.2%

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

Model factors

  • League average — goals: 2.69

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.05 × 1.67

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

  • Opponent strength: 1468 × 1550

    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 / 28

    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: 0.91 × 1.55

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

  • Model expected goals: 1.01 × 1.63

    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: 92.9

    Agreement between the parametric model and the smoothed empirical frequency.

Home win

24.1%

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

Model factors

  • League average — goals: 2.69

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.05 × 1.67

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

  • Opponent strength: 1468 × 1550

    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 / 28

    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: 0.91 × 1.55

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

  • Model expected goals: 1.01 × 1.63

    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: 0.3

    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. Fluminense's 10-match sample contains 4 wins, 5 draws and 1 defeat, with 1.60 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, Fluminense has 3 wins, 6 draws and 5 defeats in 14 matches, with 1.43 goals scored and 1.57 goals conceded.

Both teams scored in 3 of 10 matches (30%) of Vitoria's sample and 8 of 10 matches (80%) of Fluminense's. Over 2.5 goals occurred in 4 of 10 matches (40%) and 5 of 10 matches (50%), respectively.

Shot volume separates the sides at 13.50 per match for Vitoria and 14.60 for Fluminense. On target, the averages are 4.00 and 5.60, respectively.

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

Form

Recent form and season

Last 5

Vitoria

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

Last 5

Fluminense

5 matches
WLWDW
W
3
D
1
L
1
GF
10
GA
8

Last 10

Vitoria

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

Last 10

Fluminense

10 matches
WLWDWWDDDD
W
4
D
5
L
1
GF
16
GA
13

Last 20

Vitoria

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

Last 20

Fluminense

20 matches
WLWDWWDDDDDLWDLWWLDW
W
8
D
8
L
4
GF
31
GA
27

Season

Vitoria

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

Season

Fluminense

28 matches
WLWDWWDDDDDLWDLWWLDWWLWWLWDW
W
13
D
9
L
6
GF
44
GA
36

Goals

Frequencies across the last 10

Average goals scored

Vitoria

0.60 · 10 matches

Fluminense

1.60 · 10 matches

Average goals conceded

Vitoria

1.70 · 10 matches

Fluminense

1.30 · 10 matches

Over 0.5

Vitoria

90% · 9 of 10 matches

Fluminense

90% · 9 of 10 matches

Over 1.5

Vitoria

70% · 7 of 10 matches

Fluminense

80% · 8 of 10 matches

Over 2.5

Vitoria

40% · 4 of 10 matches

Fluminense

50% · 5 of 10 matches

Over 3.5

Vitoria

30% · 3 of 10 matches

Fluminense

40% · 4 of 10 matches

Both teams scored

Vitoria

30% · 3 of 10 matches

Fluminense

80% · 8 of 10 matches

Clean sheet

Vitoria

30% · 3 of 10 matches

Fluminense

20% · 2 of 10 matches

Failed to score

Vitoria

50% · 5 of 10 matches

Fluminense

10% · 1 of 10 matches

Corners

Volume and observed lines

Average for

Vitoria

5.80 · 10 matches

Fluminense

5.60 · 10 matches

Average against

Vitoria

5.20 · 10 matches

Fluminense

5.80 · 10 matches

Total average

Vitoria

11.00 · 10 matches

Fluminense

11.40 · 10 matches

Over 7.5

Vitoria

80% · 8 of 10 matches

Fluminense

90% · 9 of 10 matches

Over 8.5

Vitoria

80% · 8 of 10 matches

Fluminense

90% · 9 of 10 matches

Over 9.5

Vitoria

60% · 6 of 10 matches

Fluminense

80% · 8 of 10 matches

Over 10.5

Vitoria

50% · 5 of 10 matches

Fluminense

70% · 7 of 10 matches

Over 11.5

Vitoria

50% · 5 of 10 matches

Fluminense

50% · 5 of 10 matches

Cards

Averages and frequencies

Team average

Vitoria

2.00 · 10 matches

Fluminense

2.90 · 10 matches

Opponent average

Vitoria

2.80 · 10 matches

Fluminense

2.80 · 10 matches

Total average

Vitoria

4.80 · 10 matches

Fluminense

5.70 · 10 matches

Over 2.5

Vitoria

80% · 8 of 10 matches

Fluminense

80% · 8 of 10 matches

Over 3.5

Vitoria

60% · 6 of 10 matches

Fluminense

70% · 7 of 10 matches

Over 4.5

Vitoria

50% · 5 of 10 matches

Fluminense

60% · 6 of 10 matches

Over 5.5

Vitoria

30% · 3 of 10 matches

Fluminense

60% · 6 of 10 matches

Fouls

Match intensity

Committed average

Vitoria

12.50 · 10 matches

Fluminense

12.20 · 10 matches

Opponent average

Vitoria

15.20 · 10 matches

Fluminense

13.20 · 10 matches

Total average

Vitoria

27.70 · 10 matches

Fluminense

25.40 · 10 matches

Shots

Production and concessions

Average shots

Vitoria

13.50 · 10 matches

Fluminense

14.60 · 10 matches

Average shots on target

Vitoria

4.00 · 10 matches

Fluminense

5.60 · 10 matches

Average shots conceded

Vitoria

18.40 · 10 matches

Fluminense

13.60 · 10 matches

Average shots on target conceded

Vitoria

6.20 · 10 matches

Fluminense

4.80 · 10 matches

Average xG

Vitoria

0.82 · 7 matches

Fluminense

1.48 · 7 matches

Average xG against

Vitoria

1.60 · 7 matches

Fluminense

1.11 · 7 matches

Home vs away

Vitoria at home × Fluminense away

Vitoria at home

Vitoria

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

Fluminense away

Fluminense

14 matches
WLDDDDLLWDLWLD
W
3
D
6
L
5
GF
20
GA
22
Average goals scored

Vitoria at home

1.29 · 14 matches

Fluminense away

1.43 · 14 matches

Average goals conceded

Vitoria at home

0.86 · 14 matches

Fluminense away

1.57 · 14 matches

Over 0.5

Vitoria at home

93% · 13 of 14 matches

Fluminense away

100% · 14 of 14 matches

Over 1.5

Vitoria at home

64% · 9 of 14 matches

Fluminense away

93% · 13 of 14 matches

Over 2.5

Vitoria at home

29% · 4 of 14 matches

Fluminense away

43% · 6 of 14 matches

Over 3.5

Vitoria at home

21% · 3 of 14 matches

Fluminense away

36% · 5 of 14 matches

Both teams scored

Vitoria at home

21% · 3 of 14 matches

Fluminense away

79% · 11 of 14 matches

Clean sheet

Vitoria at home

64% · 9 of 14 matches

Fluminense away

7% · 1 of 14 matches

Failed to score

Vitoria at home

21% · 3 of 14 matches

Fluminense away

14% · 2 of 14 matches

Total corner average

Vitoria at home

8.64 · 14 matches

Fluminense away

10.57 · 14 matches

Over 8.5 corners

Vitoria at home

50% · 7 of 14 matches

Fluminense away

86% · 12 of 14 matches

Total card average

Vitoria at home

5.46 · 13 matches

Fluminense away

5.00 · 14 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

Fluminense

John Kennedy

Forward

6.83

18 matches · 1147 min

9 goals · 1 assists · 26 of 34 shots on target

L. Acosta

Midfielder

7.09

23 matches · 1361 min

4 goals · 5 assists · 10 of 26 shots on target

A. Canobbio

Midfielder

6.91

21 matches · 1575 min

5 goals · 3 assists · 16 of 28 shots on target

Hulk

Forward

7.35

9 matches · 660 min

6 goals · 1 assists · 16 of 28 shots on target

K. Serna

Midfielder

6.79

27 matches · 1443 min

4 goals · 3 assists · 15 of 25 shots on target

Fábio

Goalkeeper

6.97

28 matches · 2552 min

100 saves · 32 goals conceded

Vitor Eudes

Goalkeeper

0.00

3 matches · 0 min

0 saves · 0 goals conceded

H2H

Recent meetings

Fluminense 2 × 2 Vitoria1492254
Average goals
4.00 · 1 match
Both teams scored
100% · 1 of 1 matches
Over 2.5
100% · 1 of 1 matches

H2H corners: 9.00 · 1 match

Combined view

Data convergences

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

Descriptive analysis based exclusively on available frequencies.