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Remo vs Chapecoense-sc: statistics and analysis

BRASILEIRÃO 2026 · PRE-MATCH ANALYSIS

Brasileirão 2026 · Round 35

· LONDON TIME · Estadio Evandro Almeida · Referee: not provided

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

Remo

Remo

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

VS
Chapecoense-sc

Chapecoense-sc

20 · 18 pts · 27 P · 3 W · 9 D · 15 L · 29:53 · GD -24

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

71.2%

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

Model factors

  • League average — goals: 2.69

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.51 × 1.27

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

  • Opponent strength: 1428 × 1416

    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: 1.33 × 1.15

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

  • Model expected goals: 1.46 × 1.24

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

  • Signal consensus: 95.8

    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 71.2%, medium confidence and a sample of 27 matches per team.

League average — goals: 2.69 (Weighted average using only matches played before the fixture.) Home/away strength: 1.51 × 1.27 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1428 × 1416 (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

52.3%

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

Model factors

  • League average — metric: 4.64

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.64 × 2.03

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

  • Opponent strength: 1428 × 1416

    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 / 25

    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: 3.67

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

  • Signal consensus: 69

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 3.5 yellow cards has a model probability of 52.3%, medium confidence and a sample of 25 matches per team.

League average — metric: 4.64 (Weighted average using only matches played before the fixture.) Home/away strength: 1.64 × 2.03 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1428 × 1416 (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

32.6%

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

Model factors

  • League average — metric: 4.64

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.64 × 2.03

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

  • Opponent strength: 1428 × 1416

    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 / 25

    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: 3.67

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

  • Signal consensus: 74.6

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 4.5 yellow cards has a model probability of 32.6%, medium confidence and a sample of 25 matches per team.

League average — metric: 4.64 (Weighted average using only matches played before the fixture.) Home/away strength: 1.64 × 2.03 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1428 × 1416 (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

67.9%

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: 1.51 × 1.27

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

  • Opponent strength: 1428 × 1416

    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: 1.33 × 1.15

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

  • Model expected goals: 1.46 × 1.24

    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

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance 1X has a model probability of 67.9%, 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: 1.51 × 1.27 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1428 × 1416 (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

58.2%

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

Model factors

  • League average — goals: 2.69

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.51 × 1.27

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

  • Opponent strength: 1428 × 1416

    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: 1.33 × 1.15

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

  • Model expected goals: 1.46 × 1.24

    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: 93.9

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance X2 has a model probability of 58.2%, medium confidence and a sample of 27 matches per team.

League average — goals: 2.69 (Weighted average using only matches played before the fixture.) Home/away strength: 1.51 × 1.27 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1428 × 1416 (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

93.9%

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: 1.51 × 1.27

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

  • Opponent strength: 1428 × 1416

    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: 1.33 × 1.15

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

  • Model expected goals: 1.46 × 1.24

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

  • Signal consensus: 91.2

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 0.5 goals has a model probability of 93.9%, 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: 1.51 × 1.27 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1428 × 1416 (Chronological Elo adjustment with no future matches used.)

No current market price is available for this signal.

The explanation organises results that have already been calculated; it does not change probabilities, odds, edge, EV, confidence or value classification.

Over 20.5 shots

91.6%

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: 15.31 × 12.73

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

  • Opponent strength: 1428 × 1416

    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: 28.04

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

  • Signal consensus: 84

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 20.5 shots has a model probability of 91.6%, 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: 15.31 × 12.73 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1428 × 1416 (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

80.9%

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: 5.10 × 4.17

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

  • Opponent strength: 1428 × 1416

    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: 9.27

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

  • Signal consensus: 89.7

    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 80.9%, 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: 5.10 × 4.17 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1428 × 1416 (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

32.1%

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: 1.51 × 1.27

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

  • Opponent strength: 1428 × 1416

    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: 1.33 × 1.15

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

  • Model expected goals: 1.46 × 1.24

    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

    Agreement between the parametric model and the smoothed empirical frequency.

Draw

26.1%

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: 1.51 × 1.27

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

  • Opponent strength: 1428 × 1416

    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: 1.33 × 1.15

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

  • Model expected goals: 1.46 × 1.24

    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: 93.8

    Agreement between the parametric model and the smoothed empirical frequency.

Home win

41.8%

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: 1.51 × 1.27

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

  • Opponent strength: 1428 × 1416

    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: 1.33 × 1.15

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

  • Model expected goals: 1.46 × 1.24

    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: 93.9

    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, Remo recorded 1 win, 2 draws and 7 defeats and averaged 1.10 goals scored per match. Chapecoense-sc's 10-match sample contains 2 wins, 3 draws and 5 defeats, with 1.20 goals scored per match.

The venue split shows Remo at home with 3 wins, 5 draws and 6 defeats in 14 matches, averaging 1.29 goals scored and 1.36 goals conceded. Away from home, Chapecoense-sc has 1 win, 4 draws and 9 defeats in 14 matches, with 0.79 goals scored and 1.71 goals conceded.

Both teams scored in 7 of 10 matches (70%) of Remo's sample and 7 of 10 matches (70%) of Chapecoense-sc's. Over 2.5 goals occurred in 7 of 10 matches (70%) and 7 of 10 matches (70%), respectively.

Shot volume separates the sides at 12.90 per match for Remo and 12.40 for Chapecoense-sc. On target, the averages are 3.40 and 3.50, 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

Remo

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

Last 5

Chapecoense-sc

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

Last 10

Remo

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

Last 10

Chapecoense-sc

10 matches
DLWLWDLDLL
W
2
D
3
L
5
GF
12
GA
20

Last 20

Remo

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

Last 20

Chapecoense-sc

20 matches
DLWLWDLDLLLLLDLLLLDL
W
2
D
5
L
13
GF
20
GA
42

Season

Remo

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

Season

Chapecoense-sc

27 matches
DLWLWDLDLLLLLDLLLLDLLDDLDDW
W
3
D
9
L
15
GF
29
GA
53

Goals

Frequencies across the last 10

Average goals scored

Remo

1.10 · 10 matches

Chapecoense-sc

1.20 · 10 matches

Average goals conceded

Remo

1.80 · 10 matches

Chapecoense-sc

2.00 · 10 matches

Over 0.5

Remo

100% · 10 of 10 matches

Chapecoense-sc

100% · 10 of 10 matches

Over 1.5

Remo

90% · 9 of 10 matches

Chapecoense-sc

90% · 9 of 10 matches

Over 2.5

Remo

70% · 7 of 10 matches

Chapecoense-sc

70% · 7 of 10 matches

Over 3.5

Remo

20% · 2 of 10 matches

Chapecoense-sc

40% · 4 of 10 matches

Both teams scored

Remo

70% · 7 of 10 matches

Chapecoense-sc

70% · 7 of 10 matches

Clean sheet

Remo

10% · 1 of 10 matches

Chapecoense-sc

10% · 1 of 10 matches

Failed to score

Remo

20% · 2 of 10 matches

Chapecoense-sc

20% · 2 of 10 matches

Corners

Volume and observed lines

Average for

Remo

5.00 · 10 matches

Chapecoense-sc

4.30 · 10 matches

Average against

Remo

5.90 · 10 matches

Chapecoense-sc

6.10 · 10 matches

Total average

Remo

10.90 · 10 matches

Chapecoense-sc

10.40 · 10 matches

Over 7.5

Remo

80% · 8 of 10 matches

Chapecoense-sc

80% · 8 of 10 matches

Over 8.5

Remo

80% · 8 of 10 matches

Chapecoense-sc

60% · 6 of 10 matches

Over 9.5

Remo

50% · 5 of 10 matches

Chapecoense-sc

60% · 6 of 10 matches

Over 10.5

Remo

50% · 5 of 10 matches

Chapecoense-sc

50% · 5 of 10 matches

Over 11.5

Remo

50% · 5 of 10 matches

Chapecoense-sc

40% · 4 of 10 matches

Cards

Averages and frequencies

Team average

Remo

2.10 · 10 matches

Chapecoense-sc

2.20 · 10 matches

Opponent average

Remo

1.70 · 10 matches

Chapecoense-sc

1.70 · 10 matches

Total average

Remo

3.80 · 10 matches

Chapecoense-sc

3.90 · 10 matches

Over 2.5

Remo

80% · 8 of 10 matches

Chapecoense-sc

70% · 7 of 10 matches

Over 3.5

Remo

60% · 6 of 10 matches

Chapecoense-sc

50% · 5 of 10 matches

Over 4.5

Remo

30% · 3 of 10 matches

Chapecoense-sc

40% · 4 of 10 matches

Over 5.5

Remo

10% · 1 of 10 matches

Chapecoense-sc

20% · 2 of 10 matches

Fouls

Match intensity

Committed average

Remo

10.60 · 10 matches

Chapecoense-sc

14.40 · 10 matches

Opponent average

Remo

12.60 · 10 matches

Chapecoense-sc

10.80 · 10 matches

Total average

Remo

23.20 · 10 matches

Chapecoense-sc

25.20 · 10 matches

Shots

Production and concessions

Average shots

Remo

12.90 · 10 matches

Chapecoense-sc

12.40 · 10 matches

Average shots on target

Remo

3.40 · 10 matches

Chapecoense-sc

3.50 · 10 matches

Average shots conceded

Remo

13.80 · 10 matches

Chapecoense-sc

16.20 · 10 matches

Average shots on target conceded

Remo

5.40 · 10 matches

Chapecoense-sc

5.60 · 10 matches

Average xG

Remo

0.92 · 7 matches

Chapecoense-sc

1.05 · 7 matches

Average xG against

Remo

1.38 · 7 matches

Chapecoense-sc

1.52 · 7 matches

Home vs away

Remo at home × Chapecoense-sc away

Remo at home

Remo

14 matches
LLLDWWLDLDWLDD
W
3
D
5
L
6
GF
18
GA
19

Chapecoense-sc away

Chapecoense-sc

14 matches
DWLLDLLLDLLLLD
W
1
D
4
L
9
GF
11
GA
24
Average goals scored

Remo at home

1.29 · 14 matches

Chapecoense-sc away

0.79 · 14 matches

Average goals conceded

Remo at home

1.36 · 14 matches

Chapecoense-sc away

1.71 · 14 matches

Over 0.5

Remo at home

100% · 14 of 14 matches

Chapecoense-sc away

100% · 14 of 14 matches

Over 1.5

Remo at home

79% · 11 of 14 matches

Chapecoense-sc away

93% · 13 of 14 matches

Over 2.5

Remo at home

43% · 6 of 14 matches

Chapecoense-sc away

43% · 6 of 14 matches

Over 3.5

Remo at home

29% · 4 of 14 matches

Chapecoense-sc away

14% · 2 of 14 matches

Both teams scored

Remo at home

64% · 9 of 14 matches

Chapecoense-sc away

64% · 9 of 14 matches

Clean sheet

Remo at home

14% · 2 of 14 matches

Chapecoense-sc away

0% · 0 of 14 matches

Failed to score

Remo at home

21% · 3 of 14 matches

Chapecoense-sc away

36% · 5 of 14 matches

Total corner average

Remo at home

12.29 · 14 matches

Chapecoense-sc away

10.64 · 14 matches

Over 8.5 corners

Remo at home

79% · 11 of 14 matches

Chapecoense-sc away

64% · 9 of 14 matches

Total card average

Remo at home

4.07 · 14 matches

Chapecoense-sc away

4.23 · 13 matches

Players and goalkeepers

Pre-match highlights

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

Chapecoense-sc

Giovanni Augusto

Midfielder

7.08

17 matches · 981 min

1 goals · 5 assists · 3 of 7 shots on target

Marcinho

Midfielder

6.64

23 matches · 1333 min

3 goals · 1 assists · 8 of 19 shots on target

Bruno Pacheco

Centre-back

6.63

16 matches · 1166 min

1 goals · 3 assists · 1 of 4 shots on target

Túlio

Forward

7.00

4 matches · 276 min

2 goals · 0 assists · 5 of 9 shots on target

Rafael Carvalheira

Midfielder

6.67

14 matches · 942 min

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

Anderson

Goalkeeper

6.75

10 matches · 960 min

35 saves · 19 goals conceded

Rafael Santos

Goalkeeper

6.10

4 matches · 360 min

20 saves · 10 goals conceded

H2H

Recent meetings

Chapecoense-sc 2 × 3 Remo1492265
Average goals
5.00 · 1 match
Both teams scored
100% · 1 of 1 matches
Over 2.5
100% · 1 of 1 matches

H2H corners: 12.00 · 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.
  • Recent histories converge towards matches with three or more goals.

Descriptive analysis based exclusively on available frequencies.