RadarOnze
PTEN
≡

Bayern München vs FC Augsburg: statistics and analysis

BUNDESLIGA 2026/27 · PRE-MATCH ANALYSIS

Round 22

· LONDON TIME · Allianz Arena · Referee: not provided

Bayern München

Bayern München

2 · 10 pts · 4 P · 3 W · 1 D · 0 L · GD 12

VSFC Augsburg

FC Augsburg

4 · 7 pts · 4 P · 2 W · 1 D · 1 L · GD 5

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

67.7%

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

Model factors

  • League average — goals: 3.33

    Weighted average using only matches played before the fixture.

  • Home/away strength: 3.55 × 1.05

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

  • Opponent strength: 1684 × 1502

    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: 64

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

  • Sample per team: 38 / 38

    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: 3.13 × 1.10

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

  • Model expected goals: 3.43 × 1.06

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

  • Signal consensus: 69.9

    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 67.7%, medium confidence and a sample of 38 matches per team.

League average — goals: 3.33 (Weighted average using only matches played before the fixture.) Home/away strength: 3.55 × 1.05 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1684 × 1502 (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 12

87.8%

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

Model factors

  • League average — goals: 3.33

    Weighted average using only matches played before the fixture.

  • Home/away strength: 3.55 × 1.05

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

  • Opponent strength: 1684 × 1502

    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: 64

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

  • Sample per team: 38 / 38

    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: 3.13 × 1.10

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

  • Model expected goals: 3.43 × 1.06

    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: 70.1

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance 12 has a model probability of 87.8%, medium confidence and a sample of 38 matches per team.

League average — goals: 3.33 (Weighted average using only matches played before the fixture.) Home/away strength: 3.55 × 1.05 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1684 × 1502 (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

90.8%

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

Model factors

  • League average — goals: 3.33

    Weighted average using only matches played before the fixture.

  • Home/away strength: 3.55 × 1.05

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

  • Opponent strength: 1684 × 1502

    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: 64

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

  • Sample per team: 38 / 38

    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: 3.13 × 1.10

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

  • Model expected goals: 3.43 × 1.06

    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: 22.7

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance 1X has a model probability of 90.8%, medium confidence and a sample of 38 matches per team.

League average — goals: 3.33 (Weighted average using only matches played before the fixture.) Home/away strength: 3.55 × 1.05 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1684 × 1502 (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

21.4%

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

Model factors

  • League average — goals: 3.33

    Weighted average using only matches played before the fixture.

  • Home/away strength: 3.55 × 1.05

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

  • Opponent strength: 1684 × 1502

    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: 64

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

  • Sample per team: 38 / 38

    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: 3.13 × 1.10

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

  • Model expected goals: 3.43 × 1.06

    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: 0

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance X2 has a model probability of 21.4%, medium confidence and a sample of 38 matches per team.

League average — goals: 3.33 (Weighted average using only matches played before the fixture.) Home/away strength: 3.55 × 1.05 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1684 × 1502 (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

98.0%

high
View full analysis
Sample
38 matches/team
Model
radaronze-v1

Model factors

  • League average — goals: 3.33

    Weighted average using only matches played before the fixture.

  • Home/away strength: 3.55 × 1.05

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

  • Opponent strength: 1684 × 1502

    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: 64

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

  • Sample per team: 38 / 38

    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: 3.13 × 1.10

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

  • Model expected goals: 3.43 × 1.06

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

  • Signal consensus: 92.3

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 0.5 goals has a model probability of 98.0%, high confidence and a sample of 38 matches per team.

League average — goals: 3.33 (Weighted average using only matches played before the fixture.) Home/away strength: 3.55 × 1.05 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1684 × 1502 (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.

Home team to score 2+ goals

86.1%

high
View full analysis
Sample
38 matches/team
Model
radaronze-v1

Model factors

  • League average — goals: 3.33

    Weighted average using only matches played before the fixture.

  • Home/away strength: 3.55 × 1.05

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

  • Opponent strength: 1684 × 1502

    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: 64

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

  • Sample per team: 38 / 38

    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: 3.13 × 1.10

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

  • Model expected goals: 3.43 × 1.06

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

  • Signal consensus: 94

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Home team to score 2+ goals has a model probability of 86.1%, high confidence and a sample of 38 matches per team.

League average — goals: 3.33 (Weighted average using only matches played before the fixture.) Home/away strength: 3.55 × 1.05 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1684 × 1502 (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

96.5%

high
View full analysis
Sample
38 matches/team
Model
radaronze-v1

Model factors

  • League average — shots: 27.34

    Weighted average using only matches played before the fixture.

  • Home/away strength: 21.96 × 9.48

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

  • Opponent strength: 1684 × 1502

    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: 85.3

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

  • Sample per team: 38 / 38

    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: 31.45

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

  • Signal consensus: 80

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 20.5 shots has a model probability of 96.5%, high confidence and a sample of 38 matches per team.

League average — shots: 27.34 (Weighted average using only matches played before the fixture.) Home/away strength: 21.96 × 9.48 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1684 × 1502 (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

9.2%

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

Model factors

  • League average — goals: 3.33

    Weighted average using only matches played before the fixture.

  • Home/away strength: 3.55 × 1.05

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

  • Opponent strength: 1684 × 1502

    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: 64

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

  • Sample per team: 38 / 38

    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: 3.13 × 1.10

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

  • Model expected goals: 3.43 × 1.06

    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: 22.7

    Agreement between the parametric model and the smoothed empirical frequency.

Draw

12.2%

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

Model factors

  • League average — goals: 3.33

    Weighted average using only matches played before the fixture.

  • Home/away strength: 3.55 × 1.05

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

  • Opponent strength: 1684 × 1502

    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: 64

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

  • Sample per team: 38 / 38

    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: 3.13 × 1.10

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

  • Model expected goals: 3.43 × 1.06

    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: 70.1

    Agreement between the parametric model and the smoothed empirical frequency.

Home win

78.6%

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

Model factors

  • League average — goals: 3.33

    Weighted average using only matches played before the fixture.

  • Home/away strength: 3.55 × 1.05

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

  • Opponent strength: 1684 × 1502

    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: 64

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

  • Sample per team: 38 / 38

    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: 3.13 × 1.10

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

  • Model expected goals: 3.43 × 1.06

    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: 0

    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, Bayern München recorded 8 wins, 2 draws and 0 defeats and averaged 3.60 goals scored per match. FC Augsburg's 10-match sample contains 5 wins, 3 draws and 2 defeats, with 2.20 goals scored per match.

The venue split shows Bayern München at home with 16 wins, 2 draws and 1 defeat in 19 matches, averaging 4.21 goals scored and 1.05 goals conceded. Away from home, FC Augsburg has 6 wins, 2 draws and 11 defeats in 19 matches, with 1.37 goals scored and 1.95 goals conceded.

Both teams scored in 6 of 10 matches (60%) of Bayern München's sample and 8 of 10 matches (80%) of FC Augsburg's. Over 2.5 goals occurred in 8 of 10 matches (80%) and 9 of 10 matches (90%), respectively.

Shot volume separates the sides at 20.40 per match for Bayern München and 14.00 for FC Augsburg. On target, the averages are 8.10 and 6.30, 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

Bayern München

5 matches
WWDWW
W
4
D
1
L
0
GF
19
GA
3

Last 5

FC Augsburg

5 matches
LDWWL
W
2
D
1
L
2
GF
11
GA
10

Last 10

Bayern München

10 matches
WWDWWWDWWW
W
8
D
2
L
0
GF
36
GA
11

Last 10

FC Augsburg

10 matches
LDWWLWWDWD
W
5
D
3
L
2
GF
22
GA
16

Last 20

Bayern München

20 matches
WWDWWWDWWWWWDWWWWWDL
W
15
D
4
L
1
GF
65
GA
24

Last 20

FC Augsburg

20 matches
LDWWLWWDWDDLLLWWWLWW
W
10
D
4
L
6
GF
36
GA
32

Season

Bayern München

38 matches
WWDWWWDWWWWWDWWWWWDLWWWWDWWWDWWWWWWWWW
W
31
D
6
L
1
GF
136
GA
38

Season

FC Augsburg

38 matches
LDWWLWWDWDDLLLWWWLWWDDLDLWLWLLLDWLLLLW
W
14
D
8
L
16
GF
56
GA
67

Goals

Frequencies across the last 10

Average goals scored

Bayern München

3.60 · 10 matches

FC Augsburg

2.20 · 10 matches

Average goals conceded

Bayern München

1.10 · 10 matches

FC Augsburg

1.60 · 10 matches

Over 0.5

Bayern München

90% · 9 of 10 matches

FC Augsburg

100% · 10 of 10 matches

Over 1.5

Bayern München

80% · 8 of 10 matches

FC Augsburg

100% · 10 of 10 matches

Over 2.5

Bayern München

80% · 8 of 10 matches

FC Augsburg

90% · 9 of 10 matches

Over 3.5

Bayern München

70% · 7 of 10 matches

FC Augsburg

70% · 7 of 10 matches

Both teams scored

Bayern München

60% · 6 of 10 matches

FC Augsburg

80% · 8 of 10 matches

Clean sheet

Bayern München

40% · 4 of 10 matches

FC Augsburg

10% · 1 of 10 matches

Failed to score

Bayern München

10% · 1 of 10 matches

FC Augsburg

10% · 1 of 10 matches

Corners

Volume and observed lines

Average for

Bayern München

7.80 · 10 matches

FC Augsburg

5.00 · 10 matches

Average against

Bayern München

3.40 · 10 matches

FC Augsburg

6.40 · 10 matches

Total average

Bayern München

11.20 · 10 matches

FC Augsburg

11.40 · 10 matches

Over 7.5

Bayern München

90% · 9 of 10 matches

FC Augsburg

80% · 8 of 10 matches

Over 8.5

Bayern München

80% · 8 of 10 matches

FC Augsburg

70% · 7 of 10 matches

Over 9.5

Bayern München

70% · 7 of 10 matches

FC Augsburg

70% · 7 of 10 matches

Over 10.5

Bayern München

60% · 6 of 10 matches

FC Augsburg

60% · 6 of 10 matches

Over 11.5

Bayern München

40% · 4 of 10 matches

FC Augsburg

60% · 6 of 10 matches

Cards

Averages and frequencies

Team average

Bayern München

1.33 · 9 matches

FC Augsburg

1.60 · 10 matches

Opponent average

Bayern München

1.78 · 9 matches

FC Augsburg

1.80 · 10 matches

Total average

Bayern München

3.11 · 9 matches

FC Augsburg

3.40 · 10 matches

Over 2.5

Bayern München

67% · 6 of 9 matches

FC Augsburg

60% · 6 of 10 matches

Over 3.5

Bayern München

44% · 4 of 9 matches

FC Augsburg

40% · 4 of 10 matches

Over 4.5

Bayern München

11% · 1 of 9 matches

FC Augsburg

10% · 1 of 10 matches

Over 5.5

Bayern München

0% · 0 of 9 matches

FC Augsburg

10% · 1 of 10 matches

Fouls

Match intensity

Committed average

Bayern München

8.20 · 10 matches

FC Augsburg

8.10 · 10 matches

Opponent average

Bayern München

8.50 · 10 matches

FC Augsburg

10.00 · 10 matches

Total average

Bayern München

16.70 · 10 matches

FC Augsburg

18.10 · 10 matches

Shots

Production and concessions

Average shots

Bayern München

20.40 · 10 matches

FC Augsburg

14.00 · 10 matches

Average shots on target

Bayern München

8.10 · 10 matches

FC Augsburg

6.30 · 10 matches

Average shots conceded

Bayern München

9.90 · 10 matches

FC Augsburg

19.90 · 10 matches

Average shots on target conceded

Bayern München

3.80 · 10 matches

FC Augsburg

6.70 · 10 matches

Average xG

Bayern München

2.98 · 8 matches

FC Augsburg

1.99 · 8 matches

Average xG against

Bayern München

1.52 · 8 matches

FC Augsburg

2.05 · 8 matches

Home vs away

Bayern München at home × FC Augsburg away

Bayern München at home

Bayern München

19 matches
WWWDWWWWWLWDWWWWWWW
W
16
D
2
L
1
GF
80
GA
20

FC Augsburg away

FC Augsburg

19 matches
LWLWWDLLWLWLLLLDLLW
W
6
D
2
L
11
GF
26
GA
37
Average goals scored

Bayern München at home

4.21 · 19 matches

FC Augsburg away

1.37 · 19 matches

Average goals conceded

Bayern München at home

1.05 · 19 matches

FC Augsburg away

1.95 · 19 matches

Over 0.5

Bayern München at home

100% · 19 of 19 matches

FC Augsburg away

100% · 19 of 19 matches

Over 1.5

Bayern München at home

100% · 19 of 19 matches

FC Augsburg away

95% · 18 of 19 matches

Over 2.5

Bayern München at home

100% · 19 of 19 matches

FC Augsburg away

74% · 14 of 19 matches

Over 3.5

Bayern München at home

84% · 16 of 19 matches

FC Augsburg away

42% · 8 of 19 matches

Both teams scored

Bayern München at home

68% · 13 of 19 matches

FC Augsburg away

68% · 13 of 19 matches

Clean sheet

Bayern München at home

32% · 6 of 19 matches

FC Augsburg away

0% · 0 of 19 matches

Failed to score

Bayern München at home

0% · 0 of 19 matches

FC Augsburg away

32% · 6 of 19 matches

Total corner average

Bayern München at home

10.84 · 19 matches

FC Augsburg away

9.74 · 19 matches

Over 8.5 corners

Bayern München at home

68% · 13 of 19 matches

FC Augsburg away

63% · 12 of 19 matches

Total card average

Bayern München at home

3.06 · 18 matches

FC Augsburg away

4.06 · 18 matches

Players and goalkeepers

Pre-match highlights

Bayern München

M. Olise

Midfielder

7.94

4 matches · 303 min

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

H. Kane

Forward

7.68

4 matches · 296 min

3 goals · 1 assists · 5 of 13 shots on target

I. Saibari

Midfielder

7.34

4 matches · 178 min

1 goals · 2 assists · 3 of 8 shots on target

J. Kimmich

Midfielder

7.86

4 matches · 295 min

0 goals · 2 assists · 1 of 1 shots on target

A. Davies

Centre-back

7.63

4 matches · 272 min

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

M. Neuer

Goalkeeper

5.54

4 matches · 270 min

6 saves · 1 goals conceded

J. Urbig

Goalkeeper

3.35

2 matches · 90 min

0 saves · 0 goals conceded

FC Augsburg

F. Rieder

Midfielder

7.36

4 matches · 353 min

1 goals · 3 assists · 4 of 6 shots on target

M. Gregoritsch

Forward

7.41

4 matches · 293 min

3 goals · 0 assists · 8 of 9 shots on target

A. Kade

Forward

9.70

1 matches · 90 min

1 goals · 1 assists · 4 of 5 shots on target

A. Claude-Maurice

Midfielder

6.73

3 matches · 98 min

1 goals · 1 assists · 2 of 3 shots on target

R. Fellhauer

Midfielder

6.41

4 matches · 304 min

2 goals · 0 assists · 3 of 3 shots on target

F. Dahmen

Goalkeeper

7.57

4 matches · 360 min

21 saves · 1 goals conceded

N. Labrović

Goalkeeper

0.00

2 matches · 0 min

0 saves · 0 goals conceded

H2H

Recent meetings

Bayern München 1 × 2 FC Augsburg1388471
FC Augsburg 2 × 3 Bayern München1388317
Average goals
4.00 · 2 matches
Both teams scored
100% · 2 of 2 matches
Over 2.5
100% · 2 of 2 matches

H2H corners: 12.00 · 2 matches

Combined view

Data convergences

  • Both scopes show a high frequency of the home team scoring.
  • Recent histories converge towards matches with three or more goals.

Descriptive analysis based exclusively on available frequencies.