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Fluminense vs Mirassol: statistics and analysis

BRASILEIRÃO 2026 · PRE-MATCH ANALYSIS

Brasileirão 2026 · Round 36

· LONDON TIME · Estádio do Maracanã · Referee: not provided

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

Fluminense

Fluminense

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

VS
Mirassol

Mirassol

15 · 32 pts · 28 P · 8 W · 8 D · 12 L · 33:42 · GD -9

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

65.6%

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: 1.73 × 1.01

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

  • Opponent strength: 1550 × 1480

    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: 1.54 × 0.93

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

  • Model expected goals: 1.67 × 0.99

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

  • Signal consensus: 62.3

    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 65.6%, 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: 1.73 × 1.01 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1550 × 1480 (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

71.3%

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

Model factors

  • League average — metric: 4.64

    Weighted average using only matches played before the fixture.

  • Home/away strength: 2.28 × 2.58

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

  • Opponent strength: 1550 × 1480

    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: 28 / 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: 4.86

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

  • Signal consensus: 98.1

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 3.5 yellow cards has a model probability of 71.3%, medium confidence and a sample of 28 matches per team.

League average — metric: 4.64 (Weighted average using only matches played before the fixture.) Home/away strength: 2.28 × 2.58 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1550 × 1480 (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

53.6%

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

Model factors

  • League average — metric: 4.64

    Weighted average using only matches played before the fixture.

  • Home/away strength: 2.28 × 2.58

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

  • Opponent strength: 1550 × 1480

    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: 28 / 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: 4.86

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

  • Signal consensus: 98.8

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 4.5 yellow cards has a model probability of 53.6%, medium confidence and a sample of 28 matches per team.

League average — metric: 4.64 (Weighted average using only matches played before the fixture.) Home/away strength: 2.28 × 2.58 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1550 × 1480 (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

77.1%

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: 1.73 × 1.01

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

  • Opponent strength: 1550 × 1480

    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: 1.54 × 0.93

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

  • Model expected goals: 1.67 × 0.99

    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: 89.5

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance 1X has a model probability of 77.1%, 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: 1.73 × 1.01 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1550 × 1480 (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

47.7%

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: 1.73 × 1.01

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

  • Opponent strength: 1550 × 1480

    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: 1.54 × 0.93

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

  • Model expected goals: 1.67 × 0.99

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

  • Score matrix: 0–10 goals per team

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

  • Signal consensus: 87

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance X2 has a model probability of 47.7%, 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: 1.73 × 1.01 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1550 × 1480 (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%

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: 1.73 × 1.01

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

  • Opponent strength: 1550 × 1480

    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: 1.54 × 0.93

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

  • Model expected goals: 1.67 × 0.99

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

  • Signal consensus: 90.5

    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%, 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: 1.73 × 1.01 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1550 × 1480 (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

92.0%

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: 16.14 × 11.63

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

  • Opponent strength: 1550 × 1480

    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: 27.77

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

  • Signal consensus: 99

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 20.5 shots has a model probability of 92.0%, 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: 16.14 × 11.63 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1550 × 1480 (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
28 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: 5.82 × 4.01

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

  • Opponent strength: 1550 × 1480

    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 / 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: 9.82

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

  • Signal consensus: 98.8

    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 85.7%, medium confidence and a sample of 28 matches per team.

League average — shots on target: 9.15 (Weighted average using only matches played before the fixture.) Home/away strength: 5.82 × 4.01 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1550 × 1480 (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

22.9%

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: 1.73 × 1.01

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

  • Opponent strength: 1550 × 1480

    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: 1.54 × 0.93

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

  • Model expected goals: 1.67 × 0.99

    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: 89.5

    Agreement between the parametric model and the smoothed empirical frequency.

Draw

24.8%

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: 1.73 × 1.01

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

  • Opponent strength: 1550 × 1480

    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: 1.54 × 0.93

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

  • Model expected goals: 1.67 × 0.99

    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: 76.2

    Agreement between the parametric model and the smoothed empirical frequency.

Home win

52.3%

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: 1.73 × 1.01

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

  • Opponent strength: 1550 × 1480

    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: 1.54 × 0.93

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

  • Model expected goals: 1.67 × 0.99

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

  • Score matrix: 0–10 goals per team

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

  • Signal consensus: 87

    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, Fluminense recorded 4 wins, 5 draws and 1 defeat and averaged 1.60 goals scored per match. Mirassol's 10-match sample contains 3 wins, 4 draws and 3 defeats, with 1.30 goals scored per match.

The venue split shows Fluminense at home with 10 wins, 3 draws and 1 defeat in 14 matches, averaging 1.71 goals scored and 1.00 goal conceded. Away from home, Mirassol has 2 wins, 3 draws and 8 defeats in 13 matches, with 0.92 goals scored and 1.62 goals conceded.

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

Shot volume separates the sides at 14.60 per match for Fluminense and 13.00 for Mirassol. On target, the averages are 5.60 and 4.60, 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

Fluminense

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

Last 5

Mirassol

5 matches
WDWLD
W
2
D
2
L
1
GF
7
GA
6

Last 10

Fluminense

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

Last 10

Mirassol

10 matches
WDWLDDLLWD
W
3
D
4
L
3
GF
13
GA
17

Last 20

Fluminense

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

Last 20

Mirassol

20 matches
WDWLDDLLWDWLWLDWLWLL
W
7
D
5
L
8
GF
23
GA
29

Season

Fluminense

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

Season

Mirassol

28 matches
WDWLDDLLWDWLWLDWLWLLLLLLDDDW
W
8
D
8
L
12
GF
33
GA
42

Goals

Frequencies across the last 10

Average goals scored

Fluminense

1.60 · 10 matches

Mirassol

1.30 · 10 matches

Average goals conceded

Fluminense

1.30 · 10 matches

Mirassol

1.70 · 10 matches

Over 0.5

Fluminense

90% · 9 of 10 matches

Mirassol

100% · 10 of 10 matches

Over 1.5

Fluminense

80% · 8 of 10 matches

Mirassol

100% · 10 of 10 matches

Over 2.5

Fluminense

50% · 5 of 10 matches

Mirassol

50% · 5 of 10 matches

Over 3.5

Fluminense

40% · 4 of 10 matches

Mirassol

30% · 3 of 10 matches

Both teams scored

Fluminense

80% · 8 of 10 matches

Mirassol

80% · 8 of 10 matches

Clean sheet

Fluminense

20% · 2 of 10 matches

Mirassol

10% · 1 of 10 matches

Failed to score

Fluminense

10% · 1 of 10 matches

Mirassol

10% · 1 of 10 matches

Corners

Volume and observed lines

Average for

Fluminense

5.60 · 10 matches

Mirassol

5.00 · 10 matches

Average against

Fluminense

5.80 · 10 matches

Mirassol

5.60 · 10 matches

Total average

Fluminense

11.40 · 10 matches

Mirassol

10.60 · 10 matches

Over 7.5

Fluminense

90% · 9 of 10 matches

Mirassol

60% · 6 of 10 matches

Over 8.5

Fluminense

90% · 9 of 10 matches

Mirassol

60% · 6 of 10 matches

Over 9.5

Fluminense

80% · 8 of 10 matches

Mirassol

50% · 5 of 10 matches

Over 10.5

Fluminense

70% · 7 of 10 matches

Mirassol

50% · 5 of 10 matches

Over 11.5

Fluminense

50% · 5 of 10 matches

Mirassol

50% · 5 of 10 matches

Cards

Averages and frequencies

Team average

Fluminense

2.90 · 10 matches

Mirassol

2.50 · 10 matches

Opponent average

Fluminense

2.80 · 10 matches

Mirassol

1.90 · 10 matches

Total average

Fluminense

5.70 · 10 matches

Mirassol

4.40 · 10 matches

Over 2.5

Fluminense

80% · 8 of 10 matches

Mirassol

70% · 7 of 10 matches

Over 3.5

Fluminense

70% · 7 of 10 matches

Mirassol

60% · 6 of 10 matches

Over 4.5

Fluminense

60% · 6 of 10 matches

Mirassol

50% · 5 of 10 matches

Over 5.5

Fluminense

60% · 6 of 10 matches

Mirassol

30% · 3 of 10 matches

Fouls

Match intensity

Committed average

Fluminense

12.20 · 10 matches

Mirassol

12.40 · 10 matches

Opponent average

Fluminense

13.20 · 10 matches

Mirassol

10.10 · 10 matches

Total average

Fluminense

25.40 · 10 matches

Mirassol

22.50 · 10 matches

Shots

Production and concessions

Average shots

Fluminense

14.60 · 10 matches

Mirassol

13.00 · 10 matches

Average shots on target

Fluminense

5.60 · 10 matches

Mirassol

4.60 · 10 matches

Average shots conceded

Fluminense

13.60 · 10 matches

Mirassol

14.50 · 10 matches

Average shots on target conceded

Fluminense

4.80 · 10 matches

Mirassol

4.80 · 10 matches

Average xG

Fluminense

1.48 · 7 matches

Mirassol

0.96 · 6 matches

Average xG against

Fluminense

1.11 · 7 matches

Mirassol

1.41 · 6 matches

Home vs away

Fluminense at home × Mirassol away

Fluminense at home

Fluminense

14 matches
WWWDDWDWLWWWWW
W
10
D
3
L
1
GF
24
GA
14

Mirassol away

Mirassol

13 matches
WLDLDLLLWLLLD
W
2
D
3
L
8
GF
12
GA
21
Average goals scored

Fluminense at home

1.71 · 14 matches

Mirassol away

0.92 · 13 matches

Average goals conceded

Fluminense at home

1.00 · 14 matches

Mirassol away

1.62 · 13 matches

Over 0.5

Fluminense at home

93% · 13 of 14 matches

Mirassol away

100% · 13 of 13 matches

Over 1.5

Fluminense at home

71% · 10 of 14 matches

Mirassol away

69% · 9 of 13 matches

Over 2.5

Fluminense at home

64% · 9 of 14 matches

Mirassol away

46% · 6 of 13 matches

Over 3.5

Fluminense at home

29% · 4 of 14 matches

Mirassol away

31% · 4 of 13 matches

Both teams scored

Fluminense at home

71% · 10 of 14 matches

Mirassol away

62% · 8 of 13 matches

Clean sheet

Fluminense at home

29% · 4 of 14 matches

Mirassol away

0% · 0 of 13 matches

Failed to score

Fluminense at home

7% · 1 of 14 matches

Mirassol away

38% · 5 of 13 matches

Total corner average

Fluminense at home

9.86 · 14 matches

Mirassol away

10.92 · 13 matches

Over 8.5 corners

Fluminense at home

64% · 9 of 14 matches

Mirassol away

77% · 10 of 13 matches

Total card average

Fluminense at home

6.14 · 14 matches

Mirassol away

4.23 · 13 matches

Players and goalkeepers

Pre-match highlights

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

Mirassol

Igor Formiga

Centre-back

7.03

25 matches · 2054 min

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

Eduardo

Midfielder

6.82

20 matches · 1153 min

6 goals · 0 assists · 10 of 24 shots on target

Reinaldo

Centre-back

6.93

25 matches · 2202 min

1 goals · 4 assists · 6 of 25 shots on target

Alesson

Forward

6.43

25 matches · 1638 min

0 goals · 4 assists · 15 of 28 shots on target

João Victor

Centre-back

6.90

27 matches · 2515 min

2 goals · 1 assists · 4 of 13 shots on target

Walter

Goalkeeper

6.80

24 matches · 2194 min

74 saves · 33 goals conceded

Alex Muralha

Goalkeeper

6.76

3 matches · 225 min

10 saves · 0 goals conceded

H2H

Recent meetings

Mirassol 1 × 0 Fluminense1492275
Average goals
1.00 · 1 match
Both teams scored
0% · 0 of 1 matches
Over 2.5
0% · 0 of 1 matches

H2H corners: 9.00 · 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.