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Chapecoense-sc vs Mirassol: statistics and analysis

BRASILEIRÃO 2026 · PRE-MATCH ANALYSIS

Brasileirão 2026 · Round 34

· LONDON TIME · Arena Condá · Referee: not provided

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

Chapecoense-sc

Chapecoense-sc

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

VS
Mirassol

Mirassol

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

Statistical engine · radaronze-v1

RadarOnze analysis

Probabilities calculated in advance. The explanatory layer organises existing factors and does not change the model’s numbers.

View in the Betting Centre

Away team to score 1+ goals

80.4%

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: 1.21 × 1.79

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

  • Opponent strength: 1416 × 1480

    Chronological Elo adjustment with no future matches used.

  • Recency: 120-day half-life

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

  • Historical stability: 63.3

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

  • Sample per team: 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: 1.09 × 1.38

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

  • Model expected goals: 1.18 × 1.68

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

  • Signal consensus: 88.6

    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 80.4%, 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: 1.21 × 1.79 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1416 × 1480 (Chronological Elo adjustment with no future matches used.)

No current market price is available for this signal.

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

Over 3.5 yellow cards

58.7%

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: 1.86 × 2.16

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

  • Opponent strength: 1416 × 1480

    Chronological Elo adjustment with no future matches used.

  • Recency: 120-day half-life

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

  • Historical stability: 70.1

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

  • Sample per team: 25 / 28

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

  • Historical coverage: 98.2%

    Share of previous matches with complete data for this market.

  • Model expected metric: 4.02

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

  • Signal consensus: 77.3

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 3.5 yellow cards has a model probability of 58.7%, 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: 1.86 × 2.16 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1416 × 1480 (Chronological Elo adjustment with no future matches used.)

No current market price is available for this signal.

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

Over 4.5 yellow cards

39.4%

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: 1.86 × 2.16

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

  • Opponent strength: 1416 × 1480

    Chronological Elo adjustment with no future matches used.

  • Recency: 120-day half-life

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

  • Historical stability: 70.1

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

  • Sample per team: 25 / 28

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

  • Historical coverage: 98.2%

    Share of previous matches with complete data for this market.

  • Model expected metric: 4.02

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

  • Signal consensus: 74.2

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 4.5 yellow cards has a model probability of 39.4%, 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: 1.86 × 2.16 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1416 × 1480 (Chronological Elo adjustment with no future matches used.)

No current market price is available for this signal.

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

Double chance 1X

52.0%

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: 1.21 × 1.79

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

  • Opponent strength: 1416 × 1480

    Chronological Elo adjustment with no future matches used.

  • Recency: 120-day half-life

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

  • Historical stability: 63.3

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

  • Sample per team: 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: 1.09 × 1.38

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

  • Model expected goals: 1.18 × 1.68

    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: 23.7

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance 1X has a model probability of 52.0%, 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: 1.21 × 1.79 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1416 × 1480 (Chronological Elo adjustment with no future matches used.)

No current market price is available for this signal.

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

Double chance X2

72.7%

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: 1.21 × 1.79

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

  • Opponent strength: 1416 × 1480

    Chronological Elo adjustment with no future matches used.

  • Recency: 120-day half-life

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

  • Historical stability: 63.3

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

  • Sample per team: 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: 1.09 × 1.38

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

  • Model expected goals: 1.18 × 1.68

    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: 37.8

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance X2 has a model probability of 72.7%, 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: 1.21 × 1.79 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1416 × 1480 (Chronological Elo adjustment with no future matches used.)

No current market price is available for this signal.

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

Over 0.5 goals

94.9%

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: 1.21 × 1.79

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

  • Opponent strength: 1416 × 1480

    Chronological Elo adjustment with no future matches used.

  • Recency: 120-day half-life

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

  • Historical stability: 63.3

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

  • Sample per team: 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: 1.09 × 1.38

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

  • Model expected goals: 1.18 × 1.68

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

  • Signal consensus: 91.1

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 0.5 goals has a model probability of 94.9%, 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: 1.21 × 1.79 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1416 × 1480 (Chronological Elo adjustment with no future matches used.)

No current market price is available for this signal.

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

Over 20.5 shots

93.3%

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: 12.66 × 15.63

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

  • Opponent strength: 1416 × 1480

    Chronological Elo adjustment with no future matches used.

  • Recency: 120-day half-life

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

  • Historical stability: 84.4

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

  • Sample per team: 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: 28.30

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

  • Signal consensus: 98.8

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 20.5 shots has a model probability of 93.3%, 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: 12.66 × 15.63 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1416 × 1480 (Chronological Elo adjustment with no future matches used.)

No current market price is available for this signal.

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

Over 6.5 shots on target

79.5%

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

Model factors

  • League average — shots on target: 9.14

    Weighted average using only matches played before the fixture.

  • Home/away strength: 3.57 × 5.36

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

  • Opponent strength: 1416 × 1480

    Chronological Elo adjustment with no future matches used.

  • Recency: 120-day half-life

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

  • Historical stability: 77.9

    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: 8.93

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

  • Signal consensus: 88.8

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 6.5 shots on target has a model probability of 79.5%, medium confidence and a sample of 27 matches per team.

League average — shots on target: 9.14 (Weighted average using only matches played before the fixture.) Home/away strength: 3.57 × 5.36 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1416 × 1480 (Chronological Elo adjustment with no future matches used.)

No current market price is available for this signal.

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

Result probabilities — 1X2Complementary statistical view. It does not take part in top signals or tickets.

Away win

48.0%

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: 1.21 × 1.79

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

  • Opponent strength: 1416 × 1480

    Chronological Elo adjustment with no future matches used.

  • Recency: 120-day half-life

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

  • Historical stability: 63.3

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

  • Sample per team: 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: 1.09 × 1.38

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

  • Model expected goals: 1.18 × 1.68

    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: 23.7

    Agreement between the parametric model and the smoothed empirical frequency.

Draw

24.7%

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: 1.21 × 1.79

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

  • Opponent strength: 1416 × 1480

    Chronological Elo adjustment with no future matches used.

  • Recency: 120-day half-life

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

  • Historical stability: 63.3

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

  • Sample per team: 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: 1.09 × 1.38

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

  • Model expected goals: 1.18 × 1.68

    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: 85.5

    Agreement between the parametric model and the smoothed empirical frequency.

Home win

27.3%

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: 1.21 × 1.79

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

  • Opponent strength: 1416 × 1480

    Chronological Elo adjustment with no future matches used.

  • Recency: 120-day half-life

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

  • Historical stability: 63.3

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

  • Sample per team: 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: 1.09 × 1.38

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

  • Model expected goals: 1.18 × 1.68

    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: 37.8

    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, Chapecoense-sc recorded 2 wins, 3 draws and 5 defeats and averaged 1.20 goals scored per match. Mirassol's 10-match sample contains 3 wins, 4 draws and 3 defeats, with 1.30 goals scored per match.

The venue split shows Chapecoense-sc at home with 2 wins, 5 draws and 6 defeats in 13 matches, averaging 1.38 goals scored and 2.23 goals conceded. Away from home, Mirassol has 2 wins, 3 draws and 8 defeats in 13 matches, with 0.92 goals scored and 1.62 goals conceded.

Both teams scored in 7 of 10 matches (70%) of Chapecoense-sc's sample and 8 of 10 matches (80%) of Mirassol's. Over 2.5 goals occurred in 7 of 10 matches (70%) and 5 of 10 matches (50%), respectively.

Shot volume separates the sides at 12.40 per match for Chapecoense-sc and 13.00 for Mirassol. On target, the averages are 3.50 and 4.60, respectively.

Historical frequencies describe the available sample; they are not a promise or certainty about a future result.

Form

Recent form and season

Last 5

Chapecoense-sc

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

Last 5

Mirassol

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

Last 10

Chapecoense-sc

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

Last 10

Mirassol

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

Last 20

Chapecoense-sc

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

Last 20

Mirassol

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

Season

Chapecoense-sc

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

Season

Mirassol

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

Goals

Frequencies across the last 10

Average goals scored

Chapecoense-sc

1.20 · 10 matches

Mirassol

1.30 · 10 matches

Average goals conceded

Chapecoense-sc

2.00 · 10 matches

Mirassol

1.70 · 10 matches

Over 0.5

Chapecoense-sc

100% · 10 of 10 matches

Mirassol

100% · 10 of 10 matches

Over 1.5

Chapecoense-sc

90% · 9 of 10 matches

Mirassol

100% · 10 of 10 matches

Over 2.5

Chapecoense-sc

70% · 7 of 10 matches

Mirassol

50% · 5 of 10 matches

Over 3.5

Chapecoense-sc

40% · 4 of 10 matches

Mirassol

30% · 3 of 10 matches

Both teams scored

Chapecoense-sc

70% · 7 of 10 matches

Mirassol

80% · 8 of 10 matches

Clean sheet

Chapecoense-sc

10% · 1 of 10 matches

Mirassol

10% · 1 of 10 matches

Failed to score

Chapecoense-sc

20% · 2 of 10 matches

Mirassol

10% · 1 of 10 matches

Corners

Volume and observed lines

Average for

Chapecoense-sc

4.30 · 10 matches

Mirassol

5.00 · 10 matches

Average against

Chapecoense-sc

6.10 · 10 matches

Mirassol

5.60 · 10 matches

Total average

Chapecoense-sc

10.40 · 10 matches

Mirassol

10.60 · 10 matches

Over 7.5

Chapecoense-sc

80% · 8 of 10 matches

Mirassol

60% · 6 of 10 matches

Over 8.5

Chapecoense-sc

60% · 6 of 10 matches

Mirassol

60% · 6 of 10 matches

Over 9.5

Chapecoense-sc

60% · 6 of 10 matches

Mirassol

50% · 5 of 10 matches

Over 10.5

Chapecoense-sc

50% · 5 of 10 matches

Mirassol

50% · 5 of 10 matches

Over 11.5

Chapecoense-sc

40% · 4 of 10 matches

Mirassol

50% · 5 of 10 matches

Cards

Averages and frequencies

Team average

Chapecoense-sc

2.20 · 10 matches

Mirassol

2.50 · 10 matches

Opponent average

Chapecoense-sc

1.70 · 10 matches

Mirassol

1.90 · 10 matches

Total average

Chapecoense-sc

3.90 · 10 matches

Mirassol

4.40 · 10 matches

Over 2.5

Chapecoense-sc

70% · 7 of 10 matches

Mirassol

70% · 7 of 10 matches

Over 3.5

Chapecoense-sc

50% · 5 of 10 matches

Mirassol

60% · 6 of 10 matches

Over 4.5

Chapecoense-sc

40% · 4 of 10 matches

Mirassol

50% · 5 of 10 matches

Over 5.5

Chapecoense-sc

20% · 2 of 10 matches

Mirassol

30% · 3 of 10 matches

Fouls

Match intensity

Committed average

Chapecoense-sc

14.40 · 10 matches

Mirassol

12.40 · 10 matches

Opponent average

Chapecoense-sc

10.80 · 10 matches

Mirassol

10.10 · 10 matches

Total average

Chapecoense-sc

25.20 · 10 matches

Mirassol

22.50 · 10 matches

Shots

Production and concessions

Average shots

Chapecoense-sc

12.40 · 10 matches

Mirassol

13.00 · 10 matches

Average shots on target

Chapecoense-sc

3.50 · 10 matches

Mirassol

4.60 · 10 matches

Average shots conceded

Chapecoense-sc

16.20 · 10 matches

Mirassol

14.50 · 10 matches

Average shots on target conceded

Chapecoense-sc

5.60 · 10 matches

Mirassol

4.80 · 10 matches

Average xG

Chapecoense-sc

1.05 · 7 matches

Mirassol

0.96 · 6 matches

Average xG against

Chapecoense-sc

1.52 · 7 matches

Mirassol

1.41 · 6 matches

Home vs away

Chapecoense-sc at home × Mirassol away

Chapecoense-sc at home

Chapecoense-sc

13 matches
LWDLLLLDLDDDW
W
2
D
5
L
6
GF
18
GA
29

Mirassol away

Mirassol

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

Chapecoense-sc at home

1.38 · 13 matches

Mirassol away

0.92 · 13 matches

Average goals conceded

Chapecoense-sc at home

2.23 · 13 matches

Mirassol away

1.62 · 13 matches

Over 0.5

Chapecoense-sc at home

92% · 12 of 13 matches

Mirassol away

100% · 13 of 13 matches

Over 1.5

Chapecoense-sc at home

85% · 11 of 13 matches

Mirassol away

69% · 9 of 13 matches

Over 2.5

Chapecoense-sc at home

69% · 9 of 13 matches

Mirassol away

46% · 6 of 13 matches

Over 3.5

Chapecoense-sc at home

54% · 7 of 13 matches

Mirassol away

31% · 4 of 13 matches

Both teams scored

Chapecoense-sc at home

69% · 9 of 13 matches

Mirassol away

62% · 8 of 13 matches

Clean sheet

Chapecoense-sc at home

15% · 2 of 13 matches

Mirassol away

0% · 0 of 13 matches

Failed to score

Chapecoense-sc at home

23% · 3 of 13 matches

Mirassol away

38% · 5 of 13 matches

Total corner average

Chapecoense-sc at home

9.62 · 13 matches

Mirassol away

10.92 · 13 matches

Over 8.5 corners

Chapecoense-sc at home

62% · 8 of 13 matches

Mirassol away

77% · 10 of 13 matches

Total card average

Chapecoense-sc at home

4.25 · 12 matches

Mirassol away

4.23 · 13 matches

Players and goalkeepers

Pre-match highlights

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

Mirassol

Igor Formiga

Centre-back

7.03

25 matches · 2054 min

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

Eduardo

Midfielder

6.82

20 matches · 1153 min

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

Reinaldo

Centre-back

6.93

25 matches · 2202 min

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

Alesson

Forward

6.43

25 matches · 1638 min

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

João Victor

Centre-back

6.90

27 matches · 2515 min

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

Walter

Goalkeeper

6.80

24 matches · 2194 min

74 saves · 33 goals conceded

Alex Muralha

Goalkeeper

6.76

3 matches · 225 min

10 saves · 0 goals conceded

H2H

Recent meetings

Mirassol 1 × 1 Chapecoense-sc1492256
Average goals
2.00 · 1 match
Both teams scored
100% · 1 of 1 matches
Over 2.5
0% · 0 of 1 matches

H2H corners: 9.00 · 1 match

Combined view

Data convergences

  • Both scopes show a high frequency of the home team scoring.
  • Both scopes show a high frequency of the away team scoring.

Descriptive analysis based exclusively on available frequencies.