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Sao Paulo vs Remo: statistics and analysis

BRASILEIRÃO 2026 · PRE-MATCH ANALYSIS

Brasileirão 2026 · Round 37

· LONDON TIME · Estadio Do MorumBIS · Referee: not provided

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

Sao Paulo

Sao Paulo

11 · 36 pts · 27 P · 10 W · 6 D · 11 L · 32:30 · GD 2

VS
Remo

Remo

19 · 23 pts · 28 P · 5 W · 8 D · 15 L · 32:47 · GD -15

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

62.4%

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: 1.65 × 0.91

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

  • Opponent strength: 1486 × 1428

    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: 1.46 × 0.97

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

  • Model expected goals: 1.60 × 0.93

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

  • Signal consensus: 73.6

    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 62.4%, 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: 1.65 × 0.91 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1486 × 1428 (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

55.2%

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

Model factors

  • League average — metric: 4.64

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.84 × 1.98

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

  • Opponent strength: 1486 × 1428

    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: 26 / 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: 3.82

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

  • Signal consensus: 71.9

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 3.5 yellow cards has a model probability of 55.2%, medium confidence and a sample of 26 matches per team.

League average — metric: 4.64 (Weighted average using only matches played before the fixture.) Home/away strength: 1.84 × 1.98 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1486 × 1428 (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

35.5%

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

Model factors

  • League average — metric: 4.64

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.84 × 1.98

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

  • Opponent strength: 1486 × 1428

    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: 26 / 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: 3.82

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

  • Signal consensus: 75.8

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 4.5 yellow cards has a model probability of 35.5%, medium confidence and a sample of 26 matches per team.

League average — metric: 4.64 (Weighted average using only matches played before the fixture.) Home/away strength: 1.84 × 1.98 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1486 × 1428 (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

77.5%

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: 1.65 × 0.91

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

  • Opponent strength: 1486 × 1428

    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: 1.46 × 0.97

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

  • Model expected goals: 1.60 × 0.93

    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: 96.7

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance 1X has a model probability of 77.5%, 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: 1.65 × 0.91 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1486 × 1428 (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

48.1%

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: 1.65 × 0.91

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

  • Opponent strength: 1486 × 1428

    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: 1.46 × 0.97

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

  • Model expected goals: 1.60 × 0.93

    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: 99.6

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance X2 has a model probability of 48.1%, 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: 1.65 × 0.91 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1486 × 1428 (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
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: 1.65 × 0.91

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

  • Opponent strength: 1486 × 1428

    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: 1.46 × 0.97

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

  • Model expected goals: 1.60 × 0.93

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

  • Signal consensus: 85.8

    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 27 matches per team.

League average — goals: 2.69 (Weighted average using only matches played before the fixture.) Home/away strength: 1.65 × 0.91 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1486 × 1428 (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

83.0%

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: 14.45 × 10.75

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

  • Opponent strength: 1486 × 1428

    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: 25.20

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

  • Signal consensus: 93.4

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 20.5 shots has a model probability of 83.0%, 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: 14.45 × 10.75 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1486 × 1428 (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

67.6%

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: 5.03 × 2.81

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

  • Opponent strength: 1486 × 1428

    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: 7.84

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

  • Signal consensus: 87.5

    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 67.6%, 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: 5.03 × 2.81 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1486 × 1428 (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

22.5%

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: 1.65 × 0.91

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

  • Opponent strength: 1486 × 1428

    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: 1.46 × 0.97

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

  • Model expected goals: 1.60 × 0.93

    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: 96.7

    Agreement between the parametric model and the smoothed empirical frequency.

Draw

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: 1.65 × 0.91

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

  • Opponent strength: 1486 × 1428

    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: 1.46 × 0.97

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

  • Model expected goals: 1.60 × 0.93

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

  • Score matrix: 0–10 goals per team

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

  • Signal consensus: 97.4

    Agreement between the parametric model and the smoothed empirical frequency.

Home win

51.9%

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: 1.65 × 0.91

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

  • Opponent strength: 1486 × 1428

    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: 1.46 × 0.97

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

  • Model expected goals: 1.60 × 0.93

    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: 99.6

    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, Sao Paulo recorded 3 wins, 2 draws and 5 defeats and averaged 0.90 goals scored per match. Remo's 10-match sample contains 1 win, 2 draws and 7 defeats, with 1.10 goals scored per match.

The venue split shows Sao Paulo at home with 8 wins, 3 draws and 2 defeats in 13 matches, averaging 1.62 goals scored and 0.77 goals conceded. Away from home, Remo has 2 wins, 3 draws and 9 defeats in 14 matches, with 1.00 goal scored and 2.00 goals conceded.

Both teams scored in 5 of 10 matches (50%) of Sao Paulo's sample and 7 of 10 matches (70%) of Remo's. Over 2.5 goals occurred in 3 of 10 matches (30%) and 7 of 10 matches (70%), respectively.

Shot volume separates the sides at 14.30 per match for Sao Paulo and 12.90 for Remo. On target, the averages are 3.90 and 3.40, 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

Sao Paulo

5 matches
WLWWL
W
3
D
0
L
2
GF
5
GA
4

Last 5

Remo

5 matches
LLLLL
W
0
D
0
L
5
GF
5
GA
10

Last 10

Sao Paulo

10 matches
WLWWLDLDLL
W
3
D
2
L
5
GF
9
GA
11

Last 10

Remo

10 matches
LLLLLDDLWL
W
1
D
2
L
7
GF
11
GA
18

Last 20

Sao Paulo

20 matches
WLWWLDLDLLDLLDWLLWDL
W
5
D
5
L
10
GF
22
GA
26

Last 20

Remo

20 matches
LLLLLDDLWLWLWDWLLDDL
W
4
D
5
L
11
GF
22
GA
32

Season

Sao Paulo

27 matches
WLWWLDLDLLDLLDWLLWDLLWWWWDW
W
10
D
6
L
11
GF
32
GA
30

Season

Remo

28 matches
LLLLLDDLWLWLWDWLLDDLWLLLDDDL
W
5
D
8
L
15
GF
32
GA
47

Goals

Frequencies across the last 10

Average goals scored

Sao Paulo

0.90 · 10 matches

Remo

1.10 · 10 matches

Average goals conceded

Sao Paulo

1.10 · 10 matches

Remo

1.80 · 10 matches

Over 0.5

Sao Paulo

100% · 10 of 10 matches

Remo

100% · 10 of 10 matches

Over 1.5

Sao Paulo

70% · 7 of 10 matches

Remo

90% · 9 of 10 matches

Over 2.5

Sao Paulo

30% · 3 of 10 matches

Remo

70% · 7 of 10 matches

Over 3.5

Sao Paulo

0% · 0 of 10 matches

Remo

20% · 2 of 10 matches

Both teams scored

Sao Paulo

50% · 5 of 10 matches

Remo

70% · 7 of 10 matches

Clean sheet

Sao Paulo

20% · 2 of 10 matches

Remo

10% · 1 of 10 matches

Failed to score

Sao Paulo

30% · 3 of 10 matches

Remo

20% · 2 of 10 matches

Corners

Volume and observed lines

Average for

Sao Paulo

6.60 · 10 matches

Remo

5.00 · 10 matches

Average against

Sao Paulo

5.20 · 10 matches

Remo

5.90 · 10 matches

Total average

Sao Paulo

11.80 · 10 matches

Remo

10.90 · 10 matches

Over 7.5

Sao Paulo

80% · 8 of 10 matches

Remo

80% · 8 of 10 matches

Over 8.5

Sao Paulo

80% · 8 of 10 matches

Remo

80% · 8 of 10 matches

Over 9.5

Sao Paulo

70% · 7 of 10 matches

Remo

50% · 5 of 10 matches

Over 10.5

Sao Paulo

50% · 5 of 10 matches

Remo

50% · 5 of 10 matches

Over 11.5

Sao Paulo

50% · 5 of 10 matches

Remo

50% · 5 of 10 matches

Cards

Averages and frequencies

Team average

Sao Paulo

1.70 · 10 matches

Remo

2.10 · 10 matches

Opponent average

Sao Paulo

2.40 · 10 matches

Remo

1.70 · 10 matches

Total average

Sao Paulo

4.10 · 10 matches

Remo

3.80 · 10 matches

Over 2.5

Sao Paulo

80% · 8 of 10 matches

Remo

80% · 8 of 10 matches

Over 3.5

Sao Paulo

60% · 6 of 10 matches

Remo

60% · 6 of 10 matches

Over 4.5

Sao Paulo

40% · 4 of 10 matches

Remo

30% · 3 of 10 matches

Over 5.5

Sao Paulo

30% · 3 of 10 matches

Remo

10% · 1 of 10 matches

Fouls

Match intensity

Committed average

Sao Paulo

13.80 · 10 matches

Remo

10.60 · 10 matches

Opponent average

Sao Paulo

13.60 · 10 matches

Remo

12.60 · 10 matches

Total average

Sao Paulo

27.40 · 10 matches

Remo

23.20 · 10 matches

Shots

Production and concessions

Average shots

Sao Paulo

14.30 · 10 matches

Remo

12.90 · 10 matches

Average shots on target

Sao Paulo

3.90 · 10 matches

Remo

3.40 · 10 matches

Average shots conceded

Sao Paulo

11.50 · 10 matches

Remo

13.80 · 10 matches

Average shots on target conceded

Sao Paulo

3.20 · 10 matches

Remo

5.40 · 10 matches

Average xG

Sao Paulo

1.16 · 6 matches

Remo

0.92 · 7 matches

Average xG against

Sao Paulo

1.23 · 6 matches

Remo

1.38 · 7 matches

Home vs away

Sao Paulo at home × Remo away

Sao Paulo at home

Sao Paulo

13 matches
WWWDLDDWWLWWW
W
8
D
3
L
2
GF
21
GA
10

Remo away

Remo

14 matches
LLDLLWWLDLLLDL
W
2
D
3
L
9
GF
14
GA
28
Average goals scored

Sao Paulo at home

1.62 · 13 matches

Remo away

1.00 · 14 matches

Average goals conceded

Sao Paulo at home

0.77 · 13 matches

Remo away

2.00 · 14 matches

Over 0.5

Sao Paulo at home

100% · 13 of 13 matches

Remo away

93% · 13 of 14 matches

Over 1.5

Sao Paulo at home

77% · 10 of 13 matches

Remo away

86% · 12 of 14 matches

Over 2.5

Sao Paulo at home

38% · 5 of 13 matches

Remo away

64% · 9 of 14 matches

Over 3.5

Sao Paulo at home

15% · 2 of 13 matches

Remo away

21% · 3 of 14 matches

Both teams scored

Sao Paulo at home

54% · 7 of 13 matches

Remo away

57% · 8 of 14 matches

Clean sheet

Sao Paulo at home

38% · 5 of 13 matches

Remo away

7% · 1 of 14 matches

Failed to score

Sao Paulo at home

8% · 1 of 13 matches

Remo away

43% · 6 of 14 matches

Total corner average

Sao Paulo at home

12.08 · 13 matches

Remo away

9.79 · 14 matches

Over 8.5 corners

Sao Paulo at home

69% · 9 of 13 matches

Remo away

79% · 11 of 14 matches

Total card average

Sao Paulo at home

4.33 · 12 matches

Remo away

3.93 · 14 matches

Players and goalkeepers

Pre-match highlights

Sao Paulo

Luciano

Midfielder

6.99

21 matches · 1568 min

8 goals · 2 assists · 15 of 30 shots on target

J. Calleri

Forward

6.50

23 matches · 1749 min

8 goals · 1 assists · 16 of 36 shots on target

Artur

Midfielder

6.98

17 matches · 1409 min

2 goals · 2 assists · 12 of 27 shots on target

Ferreira

Forward

6.92

21 matches · 826 min

4 goals · 0 assists · 9 of 19 shots on target

Marcos Antônio

Midfielder

6.70

20 matches · 1489 min

1 goals · 2 assists · 3 of 14 shots on target

Rafael

Goalkeeper

6.52

26 matches · 2293 min

62 saves · 27 goals conceded

Carlos Coronel

Goalkeeper

2.33

3 matches · 90 min

5 saves · 0 goals conceded

Remo

Alef Manga

Forward

6.78

28 matches · 1817 min

5 goals · 3 assists · 15 of 34 shots on target

Jája Silva

Forward

6.67

22 matches · 1411 min

7 goals · 1 assists · 17 of 29 shots on target

Vitor Bueno

Forward

6.80

21 matches · 1112 min

4 goals · 3 assists · 14 of 21 shots on target

Yago Pikachu

Midfielder

6.58

27 matches · 1704 min

3 goals · 2 assists · 9 of 19 shots on target

Gabriel Taliari

Midfielder

6.68

16 matches · 1141 min

4 goals · 0 assists · 9 of 25 shots on target

Marcelo Rangel

Goalkeeper

6.97

27 matches · 2522 min

101 saves · 42 goals conceded

Ivan

Goalkeeper

1.83

4 matches · 90 min

4 saves · 0 goals conceded

H2H

Recent meetings

Remo 1 × 0 Sao Paulo1492287
Average goals
1.00 · 1 match
Both teams scored
0% · 0 of 1 matches
Over 2.5
0% · 0 of 1 matches

H2H corners: 13.00 · 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.