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Atletico Paranaense vs Sao Paulo: statistics and analysis

BRASILEIRÃO 2026 · PRE-MATCH ANALYSIS

Brasileirão 2026 · Round 38

· LONDON TIME · Arena da Baixada · Referee: not provided

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

Atletico Paranaense

Atletico Paranaense

3 · 49 pts · 28 P · 14 W · 7 D · 7 L · 43:32 · GD 11

VS
Sao Paulo

Sao Paulo

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

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

63.6%

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: 1.61 × 0.89

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

  • Opponent strength: 1556 × 1486

    Chronological Elo adjustment with no future matches used.

  • Recency: 120-day half-life

    Exponential weighting with a 0.2 floor; older matches never disappear completely.

  • Historical stability: 63.3

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

  • Sample per team: 28 / 27

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

  • Historical coverage: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 1.52 × 1.01

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

  • Model expected goals: 1.58 × 0.93

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

  • Signal consensus: 57.8

    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 63.6%, medium confidence and a sample of 27 matches per team.

League average — goals: 2.69 (Weighted average using only matches played before the fixture.) Home/away strength: 1.61 × 0.89 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1556 × 1486 (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

69.7%

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: 2.66 × 2.08

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

  • Opponent strength: 1556 × 1486

    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 / 26

    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: 4.74

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

  • Signal consensus: 99.1

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 3.5 yellow cards has a model probability of 69.7%, 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: 2.66 × 2.08 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1556 × 1486 (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

51.5%

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: 2.66 × 2.08

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

  • Opponent strength: 1556 × 1486

    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 / 26

    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: 4.74

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

  • Signal consensus: 96.8

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 4.5 yellow cards has a model probability of 51.5%, 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: 2.66 × 2.08 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1556 × 1486 (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

77.3%

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: 1.61 × 0.89

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

  • Opponent strength: 1556 × 1486

    Chronological Elo adjustment with no future matches used.

  • Recency: 120-day half-life

    Exponential weighting with a 0.2 floor; older matches never disappear completely.

  • Historical stability: 63.3

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

  • Sample per team: 28 / 27

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

  • Historical coverage: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 1.52 × 1.01

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

  • Model expected goals: 1.58 × 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: 84.9

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance 1X has a model probability of 77.3%, 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: 1.61 × 0.89 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1556 × 1486 (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

48.4%

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: 1.61 × 0.89

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

  • Opponent strength: 1556 × 1486

    Chronological Elo adjustment with no future matches used.

  • Recency: 120-day half-life

    Exponential weighting with a 0.2 floor; older matches never disappear completely.

  • Historical stability: 63.3

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

  • Sample per team: 28 / 27

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

  • Historical coverage: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 1.52 × 1.01

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

  • Model expected goals: 1.58 × 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: 88.8

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance X2 has a model probability of 48.4%, 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: 1.61 × 0.89 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1556 × 1486 (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

92.6%

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: 1.61 × 0.89

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

  • Opponent strength: 1556 × 1486

    Chronological Elo adjustment with no future matches used.

  • Recency: 120-day half-life

    Exponential weighting with a 0.2 floor; older matches never disappear completely.

  • Historical stability: 63.3

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

  • Sample per team: 28 / 27

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

  • Historical coverage: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 1.52 × 1.01

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

  • Model expected goals: 1.58 × 0.93

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

  • Signal consensus: 90.7

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 0.5 goals has a model probability of 92.6%, medium confidence and a sample of 27 matches per team.

League average — goals: 2.69 (Weighted average using only matches played before the fixture.) Home/away strength: 1.61 × 0.89 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1556 × 1486 (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

82.5%

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

Model factors

  • League average — shots: 27.98

    Weighted average using only matches played before the fixture.

  • Home/away strength: 13.45 × 11.74

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

  • Opponent strength: 1556 × 1486

    Chronological Elo adjustment with no future matches used.

  • Recency: 120-day half-life

    Exponential weighting with a 0.2 floor; older matches never disappear completely.

  • Historical stability: 84.4

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

  • Sample per team: 28 / 27

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

  • Historical coverage: 100.0%

    Share of previous matches with complete data for this market.

  • Model expected shots: 25.19

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

  • Signal consensus: 98.6

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 20.5 shots has a model probability of 82.5%, medium confidence and a sample of 27 matches per team.

League average — shots: 27.98 (Weighted average using only matches played before the fixture.) Home/away strength: 13.45 × 11.74 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1556 × 1486 (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

72.3%

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

Model factors

  • League average — shots on target: 9.15

    Weighted average using only matches played before the fixture.

  • Home/away strength: 4.90 × 3.41

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

  • Opponent strength: 1556 × 1486

    Chronological Elo adjustment with no future matches used.

  • Recency: 120-day half-life

    Exponential weighting with a 0.2 floor; older matches never disappear completely.

  • Historical stability: 78

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

  • Sample per team: 28 / 27

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

  • Historical coverage: 100.0%

    Share of previous matches with complete data for this market.

  • Model expected shots on target: 8.31

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

  • Signal consensus: 99.9

    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 72.3%, medium confidence and a sample of 27 matches per team.

League average — shots on target: 9.15 (Weighted average using only matches played before the fixture.) Home/away strength: 4.90 × 3.41 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1556 × 1486 (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

22.7%

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: 1.61 × 0.89

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

  • Opponent strength: 1556 × 1486

    Chronological Elo adjustment with no future matches used.

  • Recency: 120-day half-life

    Exponential weighting with a 0.2 floor; older matches never disappear completely.

  • Historical stability: 63.3

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

  • Sample per team: 28 / 27

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

  • Historical coverage: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 1.52 × 1.01

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

  • Model expected goals: 1.58 × 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: 84.9

    Agreement between the parametric model and the smoothed empirical frequency.

Draw

25.7%

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: 1.61 × 0.89

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

  • Opponent strength: 1556 × 1486

    Chronological Elo adjustment with no future matches used.

  • Recency: 120-day half-life

    Exponential weighting with a 0.2 floor; older matches never disappear completely.

  • Historical stability: 63.3

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

  • Sample per team: 28 / 27

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

  • Historical coverage: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 1.52 × 1.01

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

  • Model expected goals: 1.58 × 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: 95.7

    Agreement between the parametric model and the smoothed empirical frequency.

Home win

51.6%

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: 1.61 × 0.89

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

  • Opponent strength: 1556 × 1486

    Chronological Elo adjustment with no future matches used.

  • Recency: 120-day half-life

    Exponential weighting with a 0.2 floor; older matches never disappear completely.

  • Historical stability: 63.3

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

  • Sample per team: 28 / 27

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

  • Historical coverage: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 1.52 × 1.01

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

  • Model expected goals: 1.58 × 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: 88.8

    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, Atletico Paranaense recorded 5 wins, 4 draws and 1 defeat and averaged 1.90 goals scored per match. Sao Paulo's 10-match sample contains 3 wins, 2 draws and 5 defeats, with 0.90 goals scored per match.

The venue split shows Atletico Paranaense at home with 9 wins, 4 draws and 1 defeat in 14 matches, averaging 1.79 goals scored and 0.79 goals conceded. Away from home, Sao Paulo has 2 wins, 3 draws and 9 defeats in 14 matches, with 0.79 goals scored and 1.43 goals conceded.

Both teams scored in 7 of 10 matches (70%) of Atletico Paranaense's sample and 5 of 10 matches (50%) of Sao Paulo's. Over 2.5 goals occurred in 6 of 10 matches (60%) and 3 of 10 matches (30%), respectively.

Shot volume separates the sides at 12.50 per match for Atletico Paranaense and 14.30 for Sao Paulo. On target, the averages are 5.10 and 3.90, 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

Atletico Paranaense

5 matches
WDLDW
W
2
D
2
L
1
GF
12
GA
12

Last 5

Sao Paulo

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

Last 10

Atletico Paranaense

10 matches
WDLDWDWDWW
W
5
D
4
L
1
GF
19
GA
14

Last 10

Sao Paulo

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

Last 20

Atletico Paranaense

20 matches
WDLDWDWDWWWWDLDWLWLL
W
9
D
6
L
5
GF
29
GA
24

Last 20

Sao Paulo

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

Season

Atletico Paranaense

28 matches
WDLDWDWDWWWWDLDWLWLLWWWLDLWW
W
14
D
7
L
7
GF
43
GA
32

Season

Sao Paulo

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

Goals

Frequencies across the last 10

Average goals scored

Atletico Paranaense

1.90 · 10 matches

Sao Paulo

0.90 · 10 matches

Average goals conceded

Atletico Paranaense

1.40 · 10 matches

Sao Paulo

1.10 · 10 matches

Over 0.5

Atletico Paranaense

90% · 9 of 10 matches

Sao Paulo

100% · 10 of 10 matches

Over 1.5

Atletico Paranaense

90% · 9 of 10 matches

Sao Paulo

70% · 7 of 10 matches

Over 2.5

Atletico Paranaense

60% · 6 of 10 matches

Sao Paulo

30% · 3 of 10 matches

Over 3.5

Atletico Paranaense

40% · 4 of 10 matches

Sao Paulo

0% · 0 of 10 matches

Both teams scored

Atletico Paranaense

70% · 7 of 10 matches

Sao Paulo

50% · 5 of 10 matches

Clean sheet

Atletico Paranaense

30% · 3 of 10 matches

Sao Paulo

20% · 2 of 10 matches

Failed to score

Atletico Paranaense

10% · 1 of 10 matches

Sao Paulo

30% · 3 of 10 matches

Corners

Volume and observed lines

Average for

Atletico Paranaense

3.90 · 10 matches

Sao Paulo

6.60 · 10 matches

Average against

Atletico Paranaense

6.90 · 10 matches

Sao Paulo

5.20 · 10 matches

Total average

Atletico Paranaense

10.80 · 10 matches

Sao Paulo

11.80 · 10 matches

Over 7.5

Atletico Paranaense

100% · 10 of 10 matches

Sao Paulo

80% · 8 of 10 matches

Over 8.5

Atletico Paranaense

90% · 9 of 10 matches

Sao Paulo

80% · 8 of 10 matches

Over 9.5

Atletico Paranaense

70% · 7 of 10 matches

Sao Paulo

70% · 7 of 10 matches

Over 10.5

Atletico Paranaense

50% · 5 of 10 matches

Sao Paulo

50% · 5 of 10 matches

Over 11.5

Atletico Paranaense

30% · 3 of 10 matches

Sao Paulo

50% · 5 of 10 matches

Cards

Averages and frequencies

Team average

Atletico Paranaense

2.00 · 9 matches

Sao Paulo

1.70 · 10 matches

Opponent average

Atletico Paranaense

2.00 · 9 matches

Sao Paulo

2.40 · 10 matches

Total average

Atletico Paranaense

4.00 · 9 matches

Sao Paulo

4.10 · 10 matches

Over 2.5

Atletico Paranaense

67% · 6 of 9 matches

Sao Paulo

80% · 8 of 10 matches

Over 3.5

Atletico Paranaense

56% · 5 of 9 matches

Sao Paulo

60% · 6 of 10 matches

Over 4.5

Atletico Paranaense

33% · 3 of 9 matches

Sao Paulo

40% · 4 of 10 matches

Over 5.5

Atletico Paranaense

22% · 2 of 9 matches

Sao Paulo

30% · 3 of 10 matches

Fouls

Match intensity

Committed average

Atletico Paranaense

13.00 · 10 matches

Sao Paulo

13.80 · 10 matches

Opponent average

Atletico Paranaense

11.20 · 10 matches

Sao Paulo

13.60 · 10 matches

Total average

Atletico Paranaense

24.20 · 10 matches

Sao Paulo

27.40 · 10 matches

Shots

Production and concessions

Average shots

Atletico Paranaense

12.50 · 10 matches

Sao Paulo

14.30 · 10 matches

Average shots on target

Atletico Paranaense

5.10 · 10 matches

Sao Paulo

3.90 · 10 matches

Average shots conceded

Atletico Paranaense

17.10 · 10 matches

Sao Paulo

11.50 · 10 matches

Average shots on target conceded

Atletico Paranaense

4.70 · 10 matches

Sao Paulo

3.20 · 10 matches

Average xG

Atletico Paranaense

1.70 · 7 matches

Sao Paulo

1.16 · 6 matches

Average xG against

Atletico Paranaense

1.32 · 7 matches

Sao Paulo

1.23 · 6 matches

Home vs away

Atletico Paranaense at home × Sao Paulo away

Atletico Paranaense at home

Atletico Paranaense

14 matches
WDDWWDDWWWWWLW
W
9
D
4
L
1
GF
25
GA
11

Sao Paulo away

Sao Paulo

14 matches
LLLDLLLLLDLWWD
W
2
D
3
L
9
GF
11
GA
20
Average goals scored

Atletico Paranaense at home

1.79 · 14 matches

Sao Paulo away

0.79 · 14 matches

Average goals conceded

Atletico Paranaense at home

0.79 · 14 matches

Sao Paulo away

1.43 · 14 matches

Over 0.5

Atletico Paranaense at home

93% · 13 of 14 matches

Sao Paulo away

100% · 14 of 14 matches

Over 1.5

Atletico Paranaense at home

79% · 11 of 14 matches

Sao Paulo away

71% · 10 of 14 matches

Over 2.5

Atletico Paranaense at home

43% · 6 of 14 matches

Sao Paulo away

36% · 5 of 14 matches

Over 3.5

Atletico Paranaense at home

21% · 3 of 14 matches

Sao Paulo away

7% · 1 of 14 matches

Both teams scored

Atletico Paranaense at home

57% · 8 of 14 matches

Sao Paulo away

57% · 8 of 14 matches

Clean sheet

Atletico Paranaense at home

36% · 5 of 14 matches

Sao Paulo away

7% · 1 of 14 matches

Failed to score

Atletico Paranaense at home

14% · 2 of 14 matches

Sao Paulo away

36% · 5 of 14 matches

Total corner average

Atletico Paranaense at home

10.00 · 14 matches

Sao Paulo away

10.57 · 14 matches

Over 8.5 corners

Atletico Paranaense at home

79% · 11 of 14 matches

Sao Paulo away

71% · 10 of 14 matches

Total card average

Atletico Paranaense at home

5.08 · 13 matches

Sao Paulo away

5.29 · 14 matches

Players and goalkeepers

Pre-match highlights

Atletico Paranaense

K. Viveros

Forward

7.20

26 matches · 2343 min

18 goals · 3 assists · 45 of 66 shots on target

L. Esquivel

Midfielder

7.26

19 matches · 1548 min

2 goals · 5 assists · 4 of 9 shots on target

João Cruz

Midfielder

6.70

21 matches · 932 min

2 goals · 5 assists · 9 of 22 shots on target

G. Benavídez

Centre-back

7.01

22 matches · 1912 min

1 goals · 5 assists · 5 of 7 shots on target

S. Mendoza

Midfielder

6.85

28 matches · 2336 min

5 goals · 1 assists · 13 of 34 shots on target

Santos

Goalkeeper

6.23

27 matches · 2219 min

63 saves · 25 goals conceded

Mycael

Goalkeeper

6.41

4 matches · 366 min

9 saves · 0 goals conceded

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

H2H

Recent meetings

Sao Paulo 1 × 2 Atletico Paranaense1492298
Average goals
3.00 · 1 match
Both teams scored
100% · 1 of 1 matches
Over 2.5
100% · 1 of 1 matches

H2H corners: 10.00 · 1 match

Combined view

Data convergences

  • Strong statistical convergence for matches with 9+ corners across the available scopes.
  • 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.