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Botafogo vs Bahia: statistics and analysis

BRASILEIRÃO 2026 · PRE-MATCH ANALYSIS

Brasileirão 2026 · Round 37

· LONDON TIME · Estadio Olimpico Nilton Santos · Referee: not provided

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

Botafogo

Botafogo

12 · 35 pts · 28 P · 9 W · 8 D · 11 L · 41:45 · GD -4

VS
Bahia

Bahia

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

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

83.0%

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: 1.31 × 1.74

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

  • Opponent strength: 1484 × 1538

    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: 1.22 × 1.64

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

  • Model expected goals: 1.28 × 1.71

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

  • Signal consensus: 85.9

    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 83.0%, 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: 1.31 × 1.74 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1484 × 1538 (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

63.2%

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: 2.42 × 1.97

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

  • Opponent strength: 1484 × 1538

    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: 4.40

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

  • Signal consensus: 90.2

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 3.5 yellow cards has a model probability of 63.2%, 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: 2.42 × 1.97 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1484 × 1538 (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

45.9%

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: 2.42 × 1.97

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

  • Opponent strength: 1484 × 1538

    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: 4.40

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

  • Signal consensus: 84.7

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 4.5 yellow cards has a model probability of 45.9%, 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: 2.42 × 1.97 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1484 × 1538 (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

53.3%

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: 1.31 × 1.74

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

  • Opponent strength: 1484 × 1538

    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: 1.22 × 1.64

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

  • Model expected goals: 1.28 × 1.71

    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: 25.2

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance 1X has a model probability of 53.3%, 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: 1.31 × 1.74 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1484 × 1538 (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

71.0%

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: 1.31 × 1.74

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

  • Opponent strength: 1484 × 1538

    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: 1.22 × 1.64

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

  • Model expected goals: 1.28 × 1.71

    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: 53.9

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance X2 has a model probability of 71.0%, 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: 1.31 × 1.74 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1484 × 1538 (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

94.2%

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: 1.31 × 1.74

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

  • Opponent strength: 1484 × 1538

    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: 1.22 × 1.64

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

  • Model expected goals: 1.28 × 1.71

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

  • Signal consensus: 89.3

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 0.5 goals has a model probability of 94.2%, 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: 1.31 × 1.74 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1484 × 1538 (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

96.2%

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: 15.04 × 16.46

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

  • Opponent strength: 1484 × 1538

    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: 31.50

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

  • Signal consensus: 75.8

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 20.5 shots has a model probability of 96.2%, 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: 15.04 × 16.46 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1484 × 1538 (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

91.4%

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: 5.43 × 5.56

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

  • Opponent strength: 1484 × 1538

    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: 10.99

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

  • Signal consensus: 90.3

    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 91.4%, 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: 5.43 × 5.56 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1484 × 1538 (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

46.7%

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: 1.31 × 1.74

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

  • Opponent strength: 1484 × 1538

    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: 1.22 × 1.64

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

  • Model expected goals: 1.28 × 1.71

    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: 25.2

    Agreement between the parametric model and the smoothed empirical frequency.

Draw

24.3%

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: 1.31 × 1.74

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

  • Opponent strength: 1484 × 1538

    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: 1.22 × 1.64

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

  • Model expected goals: 1.28 × 1.71

    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: 70.9

    Agreement between the parametric model and the smoothed empirical frequency.

Home win

29.0%

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: 1.31 × 1.74

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

  • Opponent strength: 1484 × 1538

    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: 1.22 × 1.64

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

  • Model expected goals: 1.28 × 1.71

    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: 53.9

    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, Botafogo recorded 2 wins, 4 draws and 4 defeats and averaged 0.80 goals scored per match. Bahia's 10-match sample contains 4 wins, 5 draws and 1 defeat, with 1.60 goals scored per match.

The venue split shows Botafogo at home with 5 wins, 6 draws and 3 defeats in 14 matches, averaging 1.71 goals scored and 1.43 goals conceded. Away from home, Bahia has 6 wins, 4 draws and 4 defeats in 14 matches, with 1.50 goals scored and 1.50 goals conceded.

Both teams scored in 4 of 10 matches (40%) of Botafogo's sample and 7 of 10 matches (70%) of Bahia's. Over 2.5 goals occurred in 3 of 10 matches (30%) and 5 of 10 matches (50%), respectively.

Shot volume separates the sides at 16.80 per match for Botafogo and 14.60 for Bahia. On target, the averages are 5.40 and 4.30, 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

Botafogo

5 matches
LWDDL
W
1
D
2
L
2
GF
4
GA
8

Last 5

Bahia

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

Last 10

Botafogo

10 matches
LWDDLLLDWD
W
2
D
4
L
4
GF
8
GA
13

Last 10

Bahia

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

Last 20

Botafogo

20 matches
LWDDLLLDWDWLDWDLDWDW
W
6
D
8
L
6
GF
27
GA
27

Last 20

Bahia

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

Season

Botafogo

28 matches
LWDDLLLDWDWLDWDLDWDWWLWLLLLW
W
9
D
8
L
11
GF
41
GA
45

Season

Bahia

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

Goals

Frequencies across the last 10

Average goals scored

Botafogo

0.80 · 10 matches

Bahia

1.60 · 10 matches

Average goals conceded

Botafogo

1.30 · 10 matches

Bahia

1.20 · 10 matches

Over 0.5

Botafogo

80% · 8 of 10 matches

Bahia

80% · 8 of 10 matches

Over 1.5

Botafogo

60% · 6 of 10 matches

Bahia

80% · 8 of 10 matches

Over 2.5

Botafogo

30% · 3 of 10 matches

Bahia

50% · 5 of 10 matches

Over 3.5

Botafogo

20% · 2 of 10 matches

Bahia

30% · 3 of 10 matches

Both teams scored

Botafogo

40% · 4 of 10 matches

Bahia

70% · 7 of 10 matches

Clean sheet

Botafogo

30% · 3 of 10 matches

Bahia

30% · 3 of 10 matches

Failed to score

Botafogo

50% · 5 of 10 matches

Bahia

20% · 2 of 10 matches

Corners

Volume and observed lines

Average for

Botafogo

5.40 · 10 matches

Bahia

4.70 · 10 matches

Average against

Botafogo

5.20 · 10 matches

Bahia

5.60 · 10 matches

Total average

Botafogo

10.60 · 10 matches

Bahia

10.30 · 10 matches

Over 7.5

Botafogo

80% · 8 of 10 matches

Bahia

90% · 9 of 10 matches

Over 8.5

Botafogo

60% · 6 of 10 matches

Bahia

80% · 8 of 10 matches

Over 9.5

Botafogo

60% · 6 of 10 matches

Bahia

50% · 5 of 10 matches

Over 10.5

Botafogo

50% · 5 of 10 matches

Bahia

30% · 3 of 10 matches

Over 11.5

Botafogo

50% · 5 of 10 matches

Bahia

30% · 3 of 10 matches

Cards

Averages and frequencies

Team average

Botafogo

2.60 · 10 matches

Bahia

1.80 · 10 matches

Opponent average

Botafogo

1.80 · 10 matches

Bahia

1.80 · 10 matches

Total average

Botafogo

4.40 · 10 matches

Bahia

3.60 · 10 matches

Over 2.5

Botafogo

60% · 6 of 10 matches

Bahia

70% · 7 of 10 matches

Over 3.5

Botafogo

50% · 5 of 10 matches

Bahia

40% · 4 of 10 matches

Over 4.5

Botafogo

50% · 5 of 10 matches

Bahia

30% · 3 of 10 matches

Over 5.5

Botafogo

40% · 4 of 10 matches

Bahia

10% · 1 of 10 matches

Fouls

Match intensity

Committed average

Botafogo

13.50 · 10 matches

Bahia

12.30 · 10 matches

Opponent average

Botafogo

12.30 · 10 matches

Bahia

10.70 · 10 matches

Total average

Botafogo

25.80 · 10 matches

Bahia

23.00 · 10 matches

Shots

Production and concessions

Average shots

Botafogo

16.80 · 10 matches

Bahia

14.60 · 10 matches

Average shots on target

Botafogo

5.40 · 10 matches

Bahia

4.30 · 10 matches

Average shots conceded

Botafogo

13.80 · 10 matches

Bahia

14.00 · 10 matches

Average shots on target conceded

Botafogo

5.00 · 10 matches

Bahia

4.60 · 10 matches

Average xG

Botafogo

1.22 · 7 matches

Bahia

1.60 · 6 matches

Average xG against

Botafogo

1.18 · 7 matches

Bahia

0.85 · 6 matches

Home vs away

Botafogo at home × Bahia away

Botafogo at home

Botafogo

14 matches
WDDLDDWWLDDWLW
W
5
D
6
L
3
GF
24
GA
20

Bahia away

Bahia

14 matches
LWWDDDLDLWLWWW
W
6
D
4
L
4
GF
21
GA
21
Average goals scored

Botafogo at home

1.71 · 14 matches

Bahia away

1.50 · 14 matches

Average goals conceded

Botafogo at home

1.43 · 14 matches

Bahia away

1.50 · 14 matches

Over 0.5

Botafogo at home

86% · 12 of 14 matches

Bahia away

93% · 13 of 14 matches

Over 1.5

Botafogo at home

86% · 12 of 14 matches

Bahia away

79% · 11 of 14 matches

Over 2.5

Botafogo at home

71% · 10 of 14 matches

Bahia away

57% · 8 of 14 matches

Over 3.5

Botafogo at home

50% · 7 of 14 matches

Bahia away

36% · 5 of 14 matches

Both teams scored

Botafogo at home

71% · 10 of 14 matches

Bahia away

64% · 9 of 14 matches

Clean sheet

Botafogo at home

21% · 3 of 14 matches

Bahia away

29% · 4 of 14 matches

Failed to score

Botafogo at home

21% · 3 of 14 matches

Bahia away

14% · 2 of 14 matches

Total corner average

Botafogo at home

10.29 · 14 matches

Bahia away

11.64 · 14 matches

Over 8.5 corners

Botafogo at home

64% · 9 of 14 matches

Bahia away

79% · 11 of 14 matches

Total card average

Botafogo at home

4.93 · 14 matches

Bahia away

4.79 · 14 matches

Players and goalkeepers

Pre-match highlights

Botafogo

Danilo Santos

Midfielder

7.19

21 matches · 1779 min

9 goals · 2 assists · 16 of 30 shots on target

Arthur Cabral

Forward

6.89

23 matches · 1865 min

7 goals · 1 assists · 26 of 47 shots on target

Alex Telles

Centre-back

6.69

25 matches · 1950 min

3 goals · 4 assists · 4 of 14 shots on target

Álvaro Montoro

Midfielder

6.92

25 matches · 1702 min

1 goals · 5 assists · 12 of 21 shots on target

Edenílson

Midfielder

6.39

19 matches · 837 min

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

Gabriel Batista

Goalkeeper

6.72

6 matches · 540 min

25 saves · 6 goals conceded

Warleson

Goalkeeper

3.75

8 matches · 375 min

12 saves · 2 goals conceded

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

H2H

Recent meetings

Bahia 2 × 1 Botafogo1492281
Average goals
3.00 · 1 match
Both teams scored
100% · 1 of 1 matches
Over 2.5
100% · 1 of 1 matches

H2H corners: 14.00 · 1 match

Combined view

Data convergences

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

Descriptive analysis based exclusively on available frequencies.