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Atletico Paranaense vs Remo: statistics and analysis

BRASILEIRÃO 2026 · PRE-MATCH ANALYSIS

Brasileirão 2026 · Round 36

· 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
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

61.1%

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: 2.15 × 0.91

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

  • Opponent strength: 1556 × 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: 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: 1.77 × 0.82

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

  • Model expected goals: 2.04 × 0.89

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

  • Signal consensus: 68.9

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Away team to score 1+ goals has a model probability of 61.1%, 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: 2.15 × 0.91 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1556 × 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

57.3%

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: 2.11 × 1.81

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

  • Opponent strength: 1556 × 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: 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: 3.93

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

  • Signal consensus: 71.4

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 3.5 yellow cards has a model probability of 57.3%, 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: 2.11 × 1.81 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1556 × 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

36.8%

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: 2.11 × 1.81

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

  • Opponent strength: 1556 × 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: 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: 3.93

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

  • Signal consensus: 84.4

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 4.5 yellow cards has a model probability of 36.8%, 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: 2.11 × 1.81 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1556 × 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

83.5%

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: 2.15 × 0.91

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

  • Opponent strength: 1556 × 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: 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: 1.77 × 0.82

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

  • Model expected goals: 2.04 × 0.89

    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: 68

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance 1X has a model probability of 83.5%, 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: 2.15 × 0.91 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1556 × 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

37.6%

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: 2.15 × 0.91

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

  • Opponent strength: 1556 × 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: 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: 1.77 × 0.82

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

  • Model expected goals: 2.04 × 0.89

    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: 46.5

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance X2 has a model probability of 37.6%, 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: 2.15 × 0.91 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1556 × 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

94.6%

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: 2.15 × 0.91

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

  • Opponent strength: 1556 × 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: 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: 1.77 × 0.82

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

  • Model expected goals: 2.04 × 0.89

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

  • Signal consensus: 99.8

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 0.5 goals has a model probability of 94.6%, 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: 2.15 × 0.91 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1556 × 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

84.3%

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: 14.98 × 10.69

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

  • Opponent strength: 1556 × 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: 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: 25.67

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

  • Signal consensus: 95.1

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 20.5 shots has a model probability of 84.3%, 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: 14.98 × 10.69 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1556 × 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

79.9%

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: 6.48 × 2.84

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

  • Opponent strength: 1556 × 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: 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: 9.32

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

  • Signal consensus: 70.9

    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 79.9%, 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: 6.48 × 2.84 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1556 × 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

16.5%

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: 2.15 × 0.91

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

  • Opponent strength: 1556 × 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: 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: 1.77 × 0.82

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

  • Model expected goals: 2.04 × 0.89

    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: 68

    Agreement between the parametric model and the smoothed empirical frequency.

Draw

21.2%

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

Model factors

  • League average — goals: 2.69

    Weighted average using only matches played before the fixture.

  • Home/away strength: 2.15 × 0.91

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

  • Opponent strength: 1556 × 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: 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: 1.77 × 0.82

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

  • Model expected goals: 2.04 × 0.89

    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: 78.1

    Agreement between the parametric model and the smoothed empirical frequency.

Home win

62.4%

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: 2.15 × 0.91

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

  • Opponent strength: 1556 × 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: 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: 1.77 × 0.82

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

  • Model expected goals: 2.04 × 0.89

    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: 46.5

    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. Remo's 10-match sample contains 1 win, 2 draws and 7 defeats, with 1.10 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, 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 7 of 10 matches (70%) of Atletico Paranaense's sample and 7 of 10 matches (70%) of Remo's. Over 2.5 goals occurred in 6 of 10 matches (60%) and 7 of 10 matches (70%), respectively.

Shot volume separates the sides at 12.50 per match for Atletico Paranaense and 12.90 for Remo. On target, the averages are 5.10 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

Atletico Paranaense

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

Last 5

Remo

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

Last 10

Atletico Paranaense

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

Last 10

Remo

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

Last 20

Atletico Paranaense

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

Last 20

Remo

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

Season

Atletico Paranaense

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

Season

Remo

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

Goals

Frequencies across the last 10

Average goals scored

Atletico Paranaense

1.90 · 10 matches

Remo

1.10 · 10 matches

Average goals conceded

Atletico Paranaense

1.40 · 10 matches

Remo

1.80 · 10 matches

Over 0.5

Atletico Paranaense

90% · 9 of 10 matches

Remo

100% · 10 of 10 matches

Over 1.5

Atletico Paranaense

90% · 9 of 10 matches

Remo

90% · 9 of 10 matches

Over 2.5

Atletico Paranaense

60% · 6 of 10 matches

Remo

70% · 7 of 10 matches

Over 3.5

Atletico Paranaense

40% · 4 of 10 matches

Remo

20% · 2 of 10 matches

Both teams scored

Atletico Paranaense

70% · 7 of 10 matches

Remo

70% · 7 of 10 matches

Clean sheet

Atletico Paranaense

30% · 3 of 10 matches

Remo

10% · 1 of 10 matches

Failed to score

Atletico Paranaense

10% · 1 of 10 matches

Remo

20% · 2 of 10 matches

Corners

Volume and observed lines

Average for

Atletico Paranaense

3.90 · 10 matches

Remo

5.00 · 10 matches

Average against

Atletico Paranaense

6.90 · 10 matches

Remo

5.90 · 10 matches

Total average

Atletico Paranaense

10.80 · 10 matches

Remo

10.90 · 10 matches

Over 7.5

Atletico Paranaense

100% · 10 of 10 matches

Remo

80% · 8 of 10 matches

Over 8.5

Atletico Paranaense

90% · 9 of 10 matches

Remo

80% · 8 of 10 matches

Over 9.5

Atletico Paranaense

70% · 7 of 10 matches

Remo

50% · 5 of 10 matches

Over 10.5

Atletico Paranaense

50% · 5 of 10 matches

Remo

50% · 5 of 10 matches

Over 11.5

Atletico Paranaense

30% · 3 of 10 matches

Remo

50% · 5 of 10 matches

Cards

Averages and frequencies

Team average

Atletico Paranaense

2.00 · 9 matches

Remo

2.10 · 10 matches

Opponent average

Atletico Paranaense

2.00 · 9 matches

Remo

1.70 · 10 matches

Total average

Atletico Paranaense

4.00 · 9 matches

Remo

3.80 · 10 matches

Over 2.5

Atletico Paranaense

67% · 6 of 9 matches

Remo

80% · 8 of 10 matches

Over 3.5

Atletico Paranaense

56% · 5 of 9 matches

Remo

60% · 6 of 10 matches

Over 4.5

Atletico Paranaense

33% · 3 of 9 matches

Remo

30% · 3 of 10 matches

Over 5.5

Atletico Paranaense

22% · 2 of 9 matches

Remo

10% · 1 of 10 matches

Fouls

Match intensity

Committed average

Atletico Paranaense

13.00 · 10 matches

Remo

10.60 · 10 matches

Opponent average

Atletico Paranaense

11.20 · 10 matches

Remo

12.60 · 10 matches

Total average

Atletico Paranaense

24.20 · 10 matches

Remo

23.20 · 10 matches

Shots

Production and concessions

Average shots

Atletico Paranaense

12.50 · 10 matches

Remo

12.90 · 10 matches

Average shots on target

Atletico Paranaense

5.10 · 10 matches

Remo

3.40 · 10 matches

Average shots conceded

Atletico Paranaense

17.10 · 10 matches

Remo

13.80 · 10 matches

Average shots on target conceded

Atletico Paranaense

4.70 · 10 matches

Remo

5.40 · 10 matches

Average xG

Atletico Paranaense

1.70 · 7 matches

Remo

0.92 · 7 matches

Average xG against

Atletico Paranaense

1.32 · 7 matches

Remo

1.38 · 7 matches

Home vs away

Atletico Paranaense at home × Remo away

Atletico Paranaense at home

Atletico Paranaense

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

Remo away

Remo

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

Atletico Paranaense at home

1.79 · 14 matches

Remo away

1.00 · 14 matches

Average goals conceded

Atletico Paranaense at home

0.79 · 14 matches

Remo away

2.00 · 14 matches

Over 0.5

Atletico Paranaense at home

93% · 13 of 14 matches

Remo away

93% · 13 of 14 matches

Over 1.5

Atletico Paranaense at home

79% · 11 of 14 matches

Remo away

86% · 12 of 14 matches

Over 2.5

Atletico Paranaense at home

43% · 6 of 14 matches

Remo away

64% · 9 of 14 matches

Over 3.5

Atletico Paranaense at home

21% · 3 of 14 matches

Remo away

21% · 3 of 14 matches

Both teams scored

Atletico Paranaense at home

57% · 8 of 14 matches

Remo away

57% · 8 of 14 matches

Clean sheet

Atletico Paranaense at home

36% · 5 of 14 matches

Remo away

7% · 1 of 14 matches

Failed to score

Atletico Paranaense at home

14% · 2 of 14 matches

Remo away

43% · 6 of 14 matches

Total corner average

Atletico Paranaense at home

10.00 · 14 matches

Remo away

9.79 · 14 matches

Over 8.5 corners

Atletico Paranaense at home

79% · 11 of 14 matches

Remo away

79% · 11 of 14 matches

Total card average

Atletico Paranaense at home

5.08 · 13 matches

Remo away

3.93 · 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

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 × 2 Atletico Paranaense1492276
Average goals
3.00 · 1 match
Both teams scored
100% · 1 of 1 matches
Over 2.5
100% · 1 of 1 matches

H2H corners: 13.00 · 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.
  • Recent histories converge towards matches with three or more goals.

Descriptive analysis based exclusively on available frequencies.