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RB Bragantino vs Fluminense: statistics and analysis

BRASILEIRÃO 2026 · PRE-MATCH ANALYSIS

Brasileirão 2026 · Round 38

· LONDON TIME · Estadio Cicero de Souza Marques · Referee: not provided

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

RB Bragantino

RB Bragantino

10 · 36 pts · 27 P · 10 W · 6 D · 11 L · 33:31 · GD 2

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

78.2%

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: 1.25 × 1.53

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

  • Opponent strength: 1492 × 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: 27 / 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: 1.17 × 1.13

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

  • Model expected goals: 1.23 × 1.42

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

  • Signal consensus: 67.4

    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 78.2%, 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: 1.25 × 1.53 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1492 × 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

75.8%

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: 2.59 × 2.57

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

  • Opponent strength: 1492 × 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: 5.17

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

  • Signal consensus: 99.6

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 3.5 yellow cards has a model probability of 75.8%, 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: 2.59 × 2.57 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1492 × 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

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: 2.59 × 2.57

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

  • Opponent strength: 1492 × 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: 5.17

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

  • Signal consensus: 96.6

    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: 2.59 × 2.57 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1492 × 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

59.1%

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: 1.25 × 1.53

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

  • Opponent strength: 1492 × 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: 27 / 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: 1.17 × 1.13

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

  • Model expected goals: 1.23 × 1.42

    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: 41.5

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance 1X has a model probability of 59.1%, 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: 1.25 × 1.53 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1492 × 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

67.4%

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: 1.25 × 1.53

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

  • Opponent strength: 1492 × 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: 27 / 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: 1.17 × 1.13

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

  • Model expected goals: 1.23 × 1.42

    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: 49.7

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance X2 has a model probability of 67.4%, 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: 1.25 × 1.53 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1492 × 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

93.2%

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: 1.25 × 1.53

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

  • Opponent strength: 1492 × 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: 27 / 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: 1.17 × 1.13

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

  • Model expected goals: 1.23 × 1.42

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

  • Signal consensus: 95.2

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 0.5 goals has a model probability of 93.2%, 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: 1.25 × 1.53 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1492 × 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

91.3%

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: 14.90 × 12.80

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

  • Opponent strength: 1492 × 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: 27 / 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: 27.70

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

  • Signal consensus: 91

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 20.5 shots has a model probability of 91.3%, 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: 14.90 × 12.80 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1492 × 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

85.7%

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: 5.11 × 4.78

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

  • Opponent strength: 1492 × 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: 78

    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: 100.0%

    Share of previous matches with complete data for this market.

  • Model expected shots on target: 9.90

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

  • Signal consensus: 91.4

    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 85.7%, 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: 5.11 × 4.78 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1492 × 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

40.9%

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: 1.25 × 1.53

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

  • Opponent strength: 1492 × 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: 27 / 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: 1.17 × 1.13

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

  • Model expected goals: 1.23 × 1.42

    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: 41.5

    Agreement between the parametric model and the smoothed empirical frequency.

Draw

26.4%

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: 1.25 × 1.53

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

  • Opponent strength: 1492 × 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: 27 / 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: 1.17 × 1.13

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

  • Model expected goals: 1.23 × 1.42

    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: 91.4

    Agreement between the parametric model and the smoothed empirical frequency.

Home win

32.6%

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: 1.25 × 1.53

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

  • Opponent strength: 1492 × 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: 27 / 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: 1.17 × 1.13

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

  • Model expected goals: 1.23 × 1.42

    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: 49.7

    Agreement between the parametric model and the smoothed empirical frequency.

18+ · Statistical estimates, not guaranteed outcomes. Bet responsibly.

Data interpretation

RadarOnze analysis

An original, deterministic reading of the real samples shown on this page.

Across 10 recent matches, RB Bragantino recorded 2 wins, 4 draws and 4 defeats and averaged 1.10 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 RB Bragantino at home with 6 wins, 2 draws and 5 defeats in 13 matches, averaging 1.46 goals scored and 1.08 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 7 of 10 matches (70%) of RB Bragantino'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 15.80 per match for RB Bragantino and 14.60 for Fluminense. On target, the averages are 4.90 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

RB Bragantino

5 matches
LDLLW
W
1
D
1
L
3
GF
6
GA
8

Last 5

Fluminense

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

Last 10

RB Bragantino

10 matches
LDLLWDLDDW
W
2
D
4
L
4
GF
11
GA
13

Last 10

Fluminense

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

Last 20

RB Bragantino

20 matches
LDLLWDLDDWWWLWLWLWWL
W
8
D
4
L
8
GF
28
GA
23

Last 20

Fluminense

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

Season

RB Bragantino

27 matches
LDLLWDLDDWWWLWLWLWWLLLDDLWW
W
10
D
6
L
11
GF
33
GA
31

Season

Fluminense

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

Goals

Frequencies across the last 10

Average goals scored

RB Bragantino

1.10 · 10 matches

Fluminense

1.60 · 10 matches

Average goals conceded

RB Bragantino

1.30 · 10 matches

Fluminense

1.30 · 10 matches

Over 0.5

RB Bragantino

90% · 9 of 10 matches

Fluminense

90% · 9 of 10 matches

Over 1.5

RB Bragantino

80% · 8 of 10 matches

Fluminense

80% · 8 of 10 matches

Over 2.5

RB Bragantino

40% · 4 of 10 matches

Fluminense

50% · 5 of 10 matches

Over 3.5

RB Bragantino

20% · 2 of 10 matches

Fluminense

40% · 4 of 10 matches

Both teams scored

RB Bragantino

70% · 7 of 10 matches

Fluminense

80% · 8 of 10 matches

Clean sheet

RB Bragantino

20% · 2 of 10 matches

Fluminense

20% · 2 of 10 matches

Failed to score

RB Bragantino

20% · 2 of 10 matches

Fluminense

10% · 1 of 10 matches

Corners

Volume and observed lines

Average for

RB Bragantino

5.90 · 10 matches

Fluminense

5.60 · 10 matches

Average against

RB Bragantino

5.20 · 10 matches

Fluminense

5.80 · 10 matches

Total average

RB Bragantino

11.10 · 10 matches

Fluminense

11.40 · 10 matches

Over 7.5

RB Bragantino

70% · 7 of 10 matches

Fluminense

90% · 9 of 10 matches

Over 8.5

RB Bragantino

60% · 6 of 10 matches

Fluminense

90% · 9 of 10 matches

Over 9.5

RB Bragantino

50% · 5 of 10 matches

Fluminense

80% · 8 of 10 matches

Over 10.5

RB Bragantino

50% · 5 of 10 matches

Fluminense

70% · 7 of 10 matches

Over 11.5

RB Bragantino

50% · 5 of 10 matches

Fluminense

50% · 5 of 10 matches

Cards

Averages and frequencies

Team average

RB Bragantino

2.70 · 10 matches

Fluminense

2.90 · 10 matches

Opponent average

RB Bragantino

2.50 · 10 matches

Fluminense

2.80 · 10 matches

Total average

RB Bragantino

5.20 · 10 matches

Fluminense

5.70 · 10 matches

Over 2.5

RB Bragantino

90% · 9 of 10 matches

Fluminense

80% · 8 of 10 matches

Over 3.5

RB Bragantino

90% · 9 of 10 matches

Fluminense

70% · 7 of 10 matches

Over 4.5

RB Bragantino

70% · 7 of 10 matches

Fluminense

60% · 6 of 10 matches

Over 5.5

RB Bragantino

50% · 5 of 10 matches

Fluminense

60% · 6 of 10 matches

Fouls

Match intensity

Committed average

RB Bragantino

12.30 · 10 matches

Fluminense

12.20 · 10 matches

Opponent average

RB Bragantino

10.70 · 10 matches

Fluminense

13.20 · 10 matches

Total average

RB Bragantino

23.00 · 10 matches

Fluminense

25.40 · 10 matches

Shots

Production and concessions

Average shots

RB Bragantino

15.80 · 10 matches

Fluminense

14.60 · 10 matches

Average shots on target

RB Bragantino

4.90 · 10 matches

Fluminense

5.60 · 10 matches

Average shots conceded

RB Bragantino

14.00 · 10 matches

Fluminense

13.60 · 10 matches

Average shots on target conceded

RB Bragantino

4.50 · 10 matches

Fluminense

4.80 · 10 matches

Average xG

RB Bragantino

1.22 · 7 matches

Fluminense

1.48 · 7 matches

Average xG against

RB Bragantino

1.23 · 7 matches

Fluminense

1.11 · 7 matches

Home vs away

RB Bragantino at home × Fluminense away

RB Bragantino at home

RB Bragantino

13 matches
LWLDWWLWWLLDW
W
6
D
2
L
5
GF
19
GA
14

Fluminense away

Fluminense

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

RB Bragantino at home

1.46 · 13 matches

Fluminense away

1.43 · 14 matches

Average goals conceded

RB Bragantino at home

1.08 · 13 matches

Fluminense away

1.57 · 14 matches

Over 0.5

RB Bragantino at home

92% · 12 of 13 matches

Fluminense away

100% · 14 of 14 matches

Over 1.5

RB Bragantino at home

69% · 9 of 13 matches

Fluminense away

93% · 13 of 14 matches

Over 2.5

RB Bragantino at home

46% · 6 of 13 matches

Fluminense away

43% · 6 of 14 matches

Over 3.5

RB Bragantino at home

23% · 3 of 13 matches

Fluminense away

36% · 5 of 14 matches

Both teams scored

RB Bragantino at home

46% · 6 of 13 matches

Fluminense away

79% · 11 of 14 matches

Clean sheet

RB Bragantino at home

38% · 5 of 13 matches

Fluminense away

7% · 1 of 14 matches

Failed to score

RB Bragantino at home

23% · 3 of 13 matches

Fluminense away

14% · 2 of 14 matches

Total corner average

RB Bragantino at home

11.23 · 13 matches

Fluminense away

10.57 · 14 matches

Over 8.5 corners

RB Bragantino at home

77% · 10 of 13 matches

Fluminense away

86% · 12 of 14 matches

Total card average

RB Bragantino at home

5.23 · 13 matches

Fluminense away

5.00 · 14 matches

Players and goalkeepers

Pre-match highlights

RB Bragantino

I. Pitta

Forward

6.74

24 matches · 1663 min

6 goals · 2 assists · 15 of 40 shots on target

Lucas Barbosa

Midfielder

7.02

25 matches · 2224 min

5 goals · 2 assists · 23 of 52 shots on target

Juninho Capixaba

Centre-back

6.94

23 matches · 2100 min

3 goals · 2 assists · 8 of 24 shots on target

Fernando

Midfielder

6.94

14 matches · 701 min

3 goals · 1 assists · 8 of 22 shots on target

Henry Mosquera

Forward

6.71

22 matches · 1287 min

0 goals · 4 assists · 12 of 25 shots on target

Tiago Volpi

Goalkeeper

7.13

20 matches · 1848 min

60 saves · 17 goals conceded

Cleiton

Goalkeeper

5.46

10 matches · 650 min

17 saves · 8 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 1 × 1 RB Bragantino1492295
Average goals
2.00 · 1 match
Both teams scored
100% · 1 of 1 matches
Over 2.5
0% · 0 of 1 matches

H2H corners: 15.00 · 1 match

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.