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Bahia vs Atletico-MG: statistics and analysis

BRASILEIRÃO 2026 · PRE-MATCH ANALYSIS

Brasileirão 2026 · Round 38

· LONDON TIME · Arena Fonte Nova · Referee: not provided

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

Bahia

Bahia

5 · 46 pts · 28 P · 12 W · 10 D · 6 L · 43:35 · GD 8

VS
Atletico-MG

Atletico-MG

7 · 40 pts · 27 P · 11 W · 7 D · 9 L · 36:32 · GD 4

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

68.0%

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: 1.31 × 1.16

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

  • Opponent strength: 1538 × 1522

    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: 1.28 × 1.10

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

  • Model expected goals: 1.30 × 1.14

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

  • Signal consensus: 98.6

    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 68.0%, 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: 1.31 × 1.16 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1538 × 1522 (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

58.0%

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: 2.07 × 2.09

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

  • Opponent strength: 1538 × 1522

    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 / 27

    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: 4.17

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

  • Signal consensus: 75.3

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 3.5 yellow cards has a model probability of 58.0%, 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: 2.07 × 2.09 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1538 × 1522 (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

40.2%

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: 2.07 × 2.09

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

  • Opponent strength: 1538 × 1522

    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 / 27

    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: 4.17

    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 4.5 yellow cards has a model probability of 40.2%, 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: 2.07 × 2.09 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1538 × 1522 (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

67.4%

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: 1.31 × 1.16

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

  • Opponent strength: 1538 × 1522

    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: 1.28 × 1.10

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

  • Model expected goals: 1.30 × 1.14

    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: 67.4

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance 1X has a model probability of 67.4%, 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: 1.31 × 1.16 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1538 × 1522 (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

60.2%

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: 1.31 × 1.16

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

  • Opponent strength: 1538 × 1522

    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: 1.28 × 1.10

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

  • Model expected goals: 1.30 × 1.14

    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: 77.4

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance X2 has a model probability of 60.2%, 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: 1.31 × 1.16 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1538 × 1522 (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

91.6%

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: 1.31 × 1.16

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

  • Opponent strength: 1538 × 1522

    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: 1.28 × 1.10

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

  • Model expected goals: 1.30 × 1.14

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

  • Signal consensus: 96.7

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 0.5 goals has a model probability of 91.6%, 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: 1.31 × 1.16 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1538 × 1522 (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

90.3%

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: 14.87 × 12.45

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

  • Opponent strength: 1538 × 1522

    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: 27.32

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

  • Signal consensus: 92.9

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 20.5 shots has a model probability of 90.3%, 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: 14.87 × 12.45 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1538 × 1522 (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

76.7%

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: 4.43 × 4.21

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

  • Opponent strength: 1538 × 1522

    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: 8.65

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

  • Signal consensus: 89.3

    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 76.7%, 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: 4.43 × 4.21 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1538 × 1522 (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

32.6%

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: 1.31 × 1.16

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

  • Opponent strength: 1538 × 1522

    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: 1.28 × 1.10

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

  • Model expected goals: 1.30 × 1.14

    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: 67.4

    Agreement between the parametric model and the smoothed empirical frequency.

Draw

27.6%

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: 1.31 × 1.16

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

  • Opponent strength: 1538 × 1522

    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: 1.28 × 1.10

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

  • Model expected goals: 1.30 × 1.14

    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: 89.6

    Agreement between the parametric model and the smoothed empirical frequency.

Home win

39.8%

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: 1.31 × 1.16

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

  • Opponent strength: 1538 × 1522

    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: 1.28 × 1.10

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

  • Model expected goals: 1.30 × 1.14

    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: 77.4

    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, Bahia recorded 4 wins, 5 draws and 1 defeat and averaged 1.60 goals scored per match. Atletico-MG's 10-match sample contains 5 wins, 4 draws and 1 defeat, with 1.50 goals scored per match.

The venue split shows Bahia at home with 6 wins, 6 draws and 2 defeats in 14 matches, averaging 1.57 goals scored and 1.00 goal conceded. Away from home, Atletico-MG has 4 wins, 2 draws and 8 defeats in 14 matches, with 0.93 goals scored and 1.14 goals conceded.

Both teams scored in 7 of 10 matches (70%) of Bahia's sample and 6 of 10 matches (60%) of Atletico-MG's. Over 2.5 goals occurred in 5 of 10 matches (50%) and 5 of 10 matches (50%), respectively.

Shot volume separates the sides at 14.60 per match for Bahia and 13.40 for Atletico-MG. On target, the averages are 4.30 and 5.00, 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

Bahia

5 matches
LWWWW
W
4
D
0
L
1
GF
11
GA
7

Last 5

Atletico-MG

5 matches
DWLWD
W
2
D
2
L
1
GF
6
GA
5

Last 10

Bahia

10 matches
LWWWWDDDDD
W
4
D
5
L
1
GF
16
GA
12

Last 10

Atletico-MG

10 matches
DWLWDWDWDW
W
5
D
4
L
1
GF
15
GA
9

Last 20

Bahia

20 matches
LWWWWDDDDDWWLDLDDLWL
W
7
D
8
L
5
GF
31
GA
28

Last 20

Atletico-MG

20 matches
DWLWDWDWDWLWDWLLLWWL
W
9
D
5
L
6
GF
28
GA
22

Season

Bahia

28 matches
LWWWWDDDDDWWLDLDDLWLWLWWDWDW
W
12
D
10
L
6
GF
43
GA
35

Season

Atletico-MG

27 matches
DWLWDWDWDWLWDWLLLWWLWLWLDLD
W
11
D
7
L
9
GF
36
GA
32

Goals

Frequencies across the last 10

Average goals scored

Bahia

1.60 · 10 matches

Atletico-MG

1.50 · 10 matches

Average goals conceded

Bahia

1.20 · 10 matches

Atletico-MG

0.90 · 10 matches

Over 0.5

Bahia

80% · 8 of 10 matches

Atletico-MG

90% · 9 of 10 matches

Over 1.5

Bahia

80% · 8 of 10 matches

Atletico-MG

80% · 8 of 10 matches

Over 2.5

Bahia

50% · 5 of 10 matches

Atletico-MG

50% · 5 of 10 matches

Over 3.5

Bahia

30% · 3 of 10 matches

Atletico-MG

20% · 2 of 10 matches

Both teams scored

Bahia

70% · 7 of 10 matches

Atletico-MG

60% · 6 of 10 matches

Clean sheet

Bahia

30% · 3 of 10 matches

Atletico-MG

30% · 3 of 10 matches

Failed to score

Bahia

20% · 2 of 10 matches

Atletico-MG

20% · 2 of 10 matches

Corners

Volume and observed lines

Average for

Bahia

4.70 · 10 matches

Atletico-MG

5.20 · 10 matches

Average against

Bahia

5.60 · 10 matches

Atletico-MG

5.90 · 10 matches

Total average

Bahia

10.30 · 10 matches

Atletico-MG

11.10 · 10 matches

Over 7.5

Bahia

90% · 9 of 10 matches

Atletico-MG

70% · 7 of 10 matches

Over 8.5

Bahia

80% · 8 of 10 matches

Atletico-MG

70% · 7 of 10 matches

Over 9.5

Bahia

50% · 5 of 10 matches

Atletico-MG

60% · 6 of 10 matches

Over 10.5

Bahia

30% · 3 of 10 matches

Atletico-MG

50% · 5 of 10 matches

Over 11.5

Bahia

30% · 3 of 10 matches

Atletico-MG

40% · 4 of 10 matches

Cards

Averages and frequencies

Team average

Bahia

1.80 · 10 matches

Atletico-MG

1.80 · 10 matches

Opponent average

Bahia

1.80 · 10 matches

Atletico-MG

1.70 · 10 matches

Total average

Bahia

3.60 · 10 matches

Atletico-MG

3.50 · 10 matches

Over 2.5

Bahia

70% · 7 of 10 matches

Atletico-MG

70% · 7 of 10 matches

Over 3.5

Bahia

40% · 4 of 10 matches

Atletico-MG

20% · 2 of 10 matches

Over 4.5

Bahia

30% · 3 of 10 matches

Atletico-MG

20% · 2 of 10 matches

Over 5.5

Bahia

10% · 1 of 10 matches

Atletico-MG

20% · 2 of 10 matches

Fouls

Match intensity

Committed average

Bahia

12.30 · 10 matches

Atletico-MG

11.70 · 10 matches

Opponent average

Bahia

10.70 · 10 matches

Atletico-MG

13.50 · 10 matches

Total average

Bahia

23.00 · 10 matches

Atletico-MG

25.20 · 10 matches

Shots

Production and concessions

Average shots

Bahia

14.60 · 10 matches

Atletico-MG

13.40 · 10 matches

Average shots on target

Bahia

4.30 · 10 matches

Atletico-MG

5.00 · 10 matches

Average shots conceded

Bahia

14.00 · 10 matches

Atletico-MG

16.60 · 10 matches

Average shots on target conceded

Bahia

4.60 · 10 matches

Atletico-MG

3.80 · 10 matches

Average xG

Bahia

1.60 · 6 matches

Atletico-MG

1.40 · 6 matches

Average xG against

Bahia

0.85 · 6 matches

Atletico-MG

0.99 · 6 matches

Home vs away

Bahia at home × Atletico-MG away

Bahia at home

Bahia

14 matches
WWDDWWDLDLWWDD
W
6
D
6
L
2
GF
22
GA
14

Atletico-MG away

Atletico-MG

14 matches
LDDWWLWLLWLLLL
W
4
D
2
L
8
GF
13
GA
16
Average goals scored

Bahia at home

1.57 · 14 matches

Atletico-MG away

0.93 · 14 matches

Average goals conceded

Bahia at home

1.00 · 14 matches

Atletico-MG away

1.14 · 14 matches

Over 0.5

Bahia at home

93% · 13 of 14 matches

Atletico-MG away

93% · 13 of 14 matches

Over 1.5

Bahia at home

93% · 13 of 14 matches

Atletico-MG away

57% · 8 of 14 matches

Over 2.5

Bahia at home

50% · 7 of 14 matches

Atletico-MG away

36% · 5 of 14 matches

Over 3.5

Bahia at home

14% · 2 of 14 matches

Atletico-MG away

21% · 3 of 14 matches

Both teams scored

Bahia at home

71% · 10 of 14 matches

Atletico-MG away

29% · 4 of 14 matches

Clean sheet

Bahia at home

29% · 4 of 14 matches

Atletico-MG away

21% · 3 of 14 matches

Failed to score

Bahia at home

7% · 1 of 14 matches

Atletico-MG away

57% · 8 of 14 matches

Total corner average

Bahia at home

10.50 · 14 matches

Atletico-MG away

10.36 · 14 matches

Over 8.5 corners

Bahia at home

79% · 11 of 14 matches

Atletico-MG away

64% · 9 of 14 matches

Total card average

Bahia at home

5.00 · 14 matches

Atletico-MG away

5.07 · 14 matches

Players and goalkeepers

Pre-match highlights

Bahia

Luciano Juba

Centre-back

7.05

24 matches · 1966 min

9 goals · 1 assists · 16 of 23 shots on target

Jean Lucas

Midfielder

6.70

24 matches · 1644 min

4 goals · 3 assists · 7 of 19 shots on target

Erick Pulga

Forward

6.98

26 matches · 1891 min

3 goals · 2 assists · 14 of 30 shots on target

David Duarte

Centre-back

7.17

20 matches · 1784 min

3 goals · 1 assists · 8 of 17 shots on target

Rodrigo Nestor

Midfielder

6.92

20 matches · 1213 min

1 goals · 3 assists · 8 of 29 shots on target

Ronaldo

Goalkeeper

7.21

18 matches · 1568 min

57 saves · 10 goals conceded

Léo Vieira

Goalkeeper

7.18

9 matches · 774 min

36 saves · 12 goals conceded

Atletico-MG

T. Cuello

Midfielder

7.05

22 matches · 1587 min

5 goals · 2 assists · 14 of 38 shots on target

Reinier

Forward

6.90

18 matches · 924 min

4 goals · 2 assists · 13 of 19 shots on target

Victor Hugo

Midfielder

6.94

19 matches · 1501 min

4 goals · 1 assists · 10 of 16 shots on target

M. Cassierra

Forward

6.72

20 matches · 1002 min

3 goals · 2 assists · 9 of 17 shots on target

Bernard

Midfielder

6.66

22 matches · 1194 min

2 goals · 2 assists · 4 of 11 shots on target

Everson

Goalkeeper

7.15

22 matches · 2024 min

68 saves · 26 goals conceded

Gabriel Delfim

Goalkeeper

6.37

4 matches · 360 min

7 saves · 1 goals conceded

H2H

Recent meetings

Atletico-MG 1 × 1 Bahia1492290
Average goals
2.00 · 1 match
Both teams scored
100% · 1 of 1 matches
Over 2.5
0% · 0 of 1 matches

H2H corners: 10.00 · 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.