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Bayern München vs Slavia Praha: statistics and analysis

CHAMPIONS LEAGUE 2026/27 · PRE-MATCH ANALYSIS

Matchday 6

· LONDON TIME · Allianz Arena · Referee: not provided

Bayern München

Bayern München

2 · 3 pts · 1 P · 1 W · 0 D · 0 L · GD 5

VSSlavia Praha

Slavia Praha

23 · 0 pts · 1 P · 0 W · 0 D · 1 L · GD -1

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

58.0%

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

Model factors

  • League average — goals: 3.08

    Weighted average using only matches played before the fixture.

  • Home/away strength: 3.27 × 0.93

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

  • Opponent strength: 1589 × 1445

    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: 60.9

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

  • Sample per team: 15 / 9

    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: not used

    Coverage or sample was insufficient before this fixture.

  • Model expected goals: 3.27 × 0.93

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

  • Signal consensus: 64.7

    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 58.0%, medium confidence and a sample of 9 matches per team.

League average — goals: 3.08 (Weighted average using only matches played before the fixture.) Home/away strength: 3.27 × 0.93 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1589 × 1445 (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.

Both teams to score

58.3%

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

Model factors

  • League average — goals: 3.08

    Weighted average using only matches played before the fixture.

  • Home/away strength: 3.27 × 0.93

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

  • Opponent strength: 1589 × 1445

    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: 60.9

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

  • Sample per team: 15 / 9

    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: not used

    Coverage or sample was insufficient before this fixture.

  • Model expected goals: 3.27 × 0.93

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

  • Signal consensus: 99.6

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Both teams to score has a model probability of 58.3%, medium confidence and a sample of 9 matches per team.

League average — goals: 3.08 (Weighted average using only matches played before the fixture.) Home/away strength: 3.27 × 0.93 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1589 × 1445 (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

87.7%

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

Model factors

  • League average — goals: 3.08

    Weighted average using only matches played before the fixture.

  • Home/away strength: 3.27 × 0.93

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

  • Opponent strength: 1589 × 1445

    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: 60.9

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

  • Sample per team: 15 / 9

    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: not used

    Coverage or sample was insufficient before this fixture.

  • Model expected goals: 3.27 × 0.93

    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: 80

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance 12 has a model probability of 87.7%, medium confidence and a sample of 9 matches per team.

League average — goals: 3.08 (Weighted average using only matches played before the fixture.) Home/away strength: 3.27 × 0.93 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1589 × 1445 (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

97.5%

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

Model factors

  • League average — goals: 3.08

    Weighted average using only matches played before the fixture.

  • Home/away strength: 3.27 × 0.93

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

  • Opponent strength: 1589 × 1445

    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: 60.9

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

  • Sample per team: 15 / 9

    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: not used

    Coverage or sample was insufficient before this fixture.

  • Model expected goals: 3.27 × 0.93

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

  • Signal consensus: 87.3

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 0.5 goals has a model probability of 97.5%, medium confidence and a sample of 9 matches per team.

League average — goals: 3.08 (Weighted average using only matches played before the fixture.) Home/away strength: 3.27 × 0.93 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1589 × 1445 (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 1.5 goals

90.8%

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

Model factors

  • League average — goals: 3.08

    Weighted average using only matches played before the fixture.

  • Home/away strength: 3.27 × 0.93

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

  • Opponent strength: 1589 × 1445

    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: 60.9

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

  • Sample per team: 15 / 9

    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: not used

    Coverage or sample was insufficient before this fixture.

  • Model expected goals: 3.27 × 0.93

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

  • Signal consensus: 81.6

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 1.5 goals has a model probability of 90.8%, medium confidence and a sample of 9 matches per team.

League average — goals: 3.08 (Weighted average using only matches played before the fixture.) Home/away strength: 3.27 × 0.93 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1589 × 1445 (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

83.7%

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

Model factors

  • League average — goals: 3.08

    Weighted average using only matches played before the fixture.

  • Home/away strength: 3.27 × 0.93

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

  • Opponent strength: 1589 × 1445

    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: 60.9

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

  • Sample per team: 15 / 9

    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: not used

    Coverage or sample was insufficient before this fixture.

  • Model expected goals: 3.27 × 0.93

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

  • Signal consensus: 100

    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 83.7%, medium confidence and a sample of 9 matches per team.

League average — goals: 3.08 (Weighted average using only matches played before the fixture.) Home/away strength: 3.27 × 0.93 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1589 × 1445 (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

8.7%

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

Model factors

  • League average — goals: 3.08

    Weighted average using only matches played before the fixture.

  • Home/away strength: 3.27 × 0.93

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

  • Opponent strength: 1589 × 1445

    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: 60.9

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

  • Sample per team: 15 / 9

    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: not used

    Coverage or sample was insufficient before this fixture.

  • Model expected goals: 3.27 × 0.93

    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: 23.1

    Agreement between the parametric model and the smoothed empirical frequency.

Draw

12.3%

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

Model factors

  • League average — goals: 3.08

    Weighted average using only matches played before the fixture.

  • Home/away strength: 3.27 × 0.93

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

  • Opponent strength: 1589 × 1445

    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: 60.9

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

  • Sample per team: 15 / 9

    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: not used

    Coverage or sample was insufficient before this fixture.

  • Model expected goals: 3.27 × 0.93

    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: 80

    Agreement between the parametric model and the smoothed empirical frequency.

Home win

79.0%

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

Model factors

  • League average — goals: 3.08

    Weighted average using only matches played before the fixture.

  • Home/away strength: 3.27 × 0.93

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

  • Opponent strength: 1589 × 1445

    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: 60.9

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

  • Sample per team: 15 / 9

    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: not used

    Coverage or sample was insufficient before this fixture.

  • Model expected goals: 3.27 × 0.93

    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: 3.6

    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, 1 draw and 1 defeat and averaged 3.30 goals scored per match. Slavia Praha's 9-match sample contains 0 wins, 3 draws and 6 defeats, with 0.78 goals scored per match.

The venue split shows Bayern München at home with 7 wins, 1 draw and 0 defeats in 8 matches, averaging 3.25 goals scored and 0.88 goals conceded. Away from home, Slavia Praha has 0 wins, 1 draw and 3 defeats in 4 matches, with 0.25 goals scored and 2.50 goals conceded.

Both teams scored in 8 of 10 matches (80%) of Bayern München's sample and 4 of 9 matches (44%) of Slavia Praha's. Over 2.5 goals occurred in 8 of 10 matches (80%) and 7 of 9 matches (78%), respectively.

Shot volume separates the sides at 19.80 per match for Bayern München and 13.00 for Slavia Praha. On target, the averages are 8.50 and 3.89, 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
WDLWW
W
3
D
1
L
1
GF
16
GA
10

Last 5

Slavia Praha

5 matches
LLLLD
W
0
D
1
L
4
GF
5
GA
14

Last 10

Bayern München

10 matches
WDLWWWWWWW
W
8
D
1
L
1
GF
33
GA
14

Last 9

Slavia Praha

9 matches
LLLLDLDLD
W
0
D
3
L
6
GF
7
GA
22

Last 15

Bayern München

15 matches
WDLWWWWWWWLWWWW
W
12
D
1
L
2
GF
48
GA
20

Last 9

Slavia Praha

9 matches
LLLLDLDLD
W
0
D
3
L
6
GF
7
GA
22

Season

Bayern München

15 matches
WDLWWWWWWWLWWWW
W
12
D
1
L
2
GF
48
GA
20

Season

Slavia Praha

9 matches
LLLLDLDLD
W
0
D
3
L
6
GF
7
GA
22

Goals

Frequencies across the last 10

Average goals scored

Bayern München

3.30 · 10 matches

Slavia Praha

0.78 · 9 matches

Average goals conceded

Bayern München

1.40 · 10 matches

Slavia Praha

2.44 · 9 matches

Over 0.5

Bayern München

100% · 10 of 10 matches

Slavia Praha

78% · 7 of 9 matches

Over 1.5

Bayern München

100% · 10 of 10 matches

Slavia Praha

78% · 7 of 9 matches

Over 2.5

Bayern München

80% · 8 of 10 matches

Slavia Praha

78% · 7 of 9 matches

Over 3.5

Bayern München

60% · 6 of 10 matches

Slavia Praha

44% · 4 of 9 matches

Both teams scored

Bayern München

80% · 8 of 10 matches

Slavia Praha

44% · 4 of 9 matches

Clean sheet

Bayern München

20% · 2 of 10 matches

Slavia Praha

22% · 2 of 9 matches

Failed to score

Bayern München

0% · 0 of 10 matches

Slavia Praha

56% · 5 of 9 matches

Corners

Volume and observed lines

Average for

Bayern München

5.90 · 10 matches

Slavia Praha

3.67 · 9 matches

Average against

Bayern München

3.70 · 10 matches

Slavia Praha

6.22 · 9 matches

Total average

Bayern München

9.60 · 10 matches

Slavia Praha

9.89 · 9 matches

Over 7.5

Bayern München

70% · 7 of 10 matches

Slavia Praha

78% · 7 of 9 matches

Over 8.5

Bayern München

70% · 7 of 10 matches

Slavia Praha

78% · 7 of 9 matches

Over 9.5

Bayern München

30% · 3 of 10 matches

Slavia Praha

56% · 5 of 9 matches

Over 10.5

Bayern München

30% · 3 of 10 matches

Slavia Praha

44% · 4 of 9 matches

Over 11.5

Bayern München

10% · 1 of 10 matches

Slavia Praha

22% · 2 of 9 matches

Cards

Averages and frequencies

Team average

Bayern München

2.11 · 9 matches

Slavia Praha

1.89 · 9 matches

Opponent average

Bayern München

2.89 · 9 matches

Slavia Praha

2.33 · 9 matches

Total average

Bayern München

5.00 · 9 matches

Slavia Praha

4.22 · 9 matches

Over 2.5

Bayern München

89% · 8 of 9 matches

Slavia Praha

78% · 7 of 9 matches

Over 3.5

Bayern München

67% · 6 of 9 matches

Slavia Praha

67% · 6 of 9 matches

Over 4.5

Bayern München

56% · 5 of 9 matches

Slavia Praha

56% · 5 of 9 matches

Over 5.5

Bayern München

33% · 3 of 9 matches

Slavia Praha

22% · 2 of 9 matches

Fouls

Match intensity

Committed average

Bayern München

9.70 · 10 matches

Slavia Praha

15.89 · 9 matches

Opponent average

Bayern München

9.50 · 10 matches

Slavia Praha

10.67 · 9 matches

Total average

Bayern München

19.20 · 10 matches

Slavia Praha

26.56 · 9 matches

Shots

Production and concessions

Average shots

Bayern München

19.80 · 10 matches

Slavia Praha

13.00 · 9 matches

Average shots on target

Bayern München

8.50 · 10 matches

Slavia Praha

3.89 · 9 matches

Average shots conceded

Bayern München

10.90 · 10 matches

Slavia Praha

17.67 · 9 matches

Average shots on target conceded

Bayern München

4.50 · 10 matches

Slavia Praha

7.89 · 9 matches

Average xG

Bayern München

2.78 · 9 matches

Slavia Praha

1.19 · 8 matches

Average xG against

Bayern München

1.47 · 9 matches

Slavia Praha

2.21 · 8 matches

Home vs away

Bayern München at home × Slavia Praha away

Bayern München at home

Bayern München

8 matches
WDWWWWWW
W
7
D
1
L
0
GF
26
GA
7

Slavia Praha away

Slavia Praha

4 matches
LLDL
W
0
D
1
L
3
GF
1
GA
10
Average goals scored

Bayern München at home

3.25 · 8 matches

Slavia Praha away

0.25 · 4 matches

Average goals conceded

Bayern München at home

0.88 · 8 matches

Slavia Praha away

2.50 · 4 matches

Over 0.5

Bayern München at home

100% · 8 of 8 matches

Slavia Praha away

75% · 3 of 4 matches

Over 1.5

Bayern München at home

100% · 8 of 8 matches

Slavia Praha away

75% · 3 of 4 matches

Over 2.5

Bayern München at home

75% · 6 of 8 matches

Slavia Praha away

75% · 3 of 4 matches

Over 3.5

Bayern München at home

75% · 6 of 8 matches

Slavia Praha away

25% · 1 of 4 matches

Both teams scored

Bayern München at home

63% · 5 of 8 matches

Slavia Praha away

25% · 1 of 4 matches

Clean sheet

Bayern München at home

38% · 3 of 8 matches

Slavia Praha away

25% · 1 of 4 matches

Failed to score

Bayern München at home

0% · 0 of 8 matches

Slavia Praha away

75% · 3 of 4 matches

Total corner average

Bayern München at home

8.50 · 8 matches

Slavia Praha away

8.75 · 4 matches

Over 8.5 corners

Bayern München at home

63% · 5 of 8 matches

Slavia Praha away

75% · 3 of 4 matches

Total card average

Bayern München at home

4.29 · 7 matches

Slavia Praha away

4.50 · 4 matches

Players and goalkeepers

Pre-match highlights

Bayern München

M. Olise

Midfielder

9.66

1 matches · 90 min

2 goals · 1 assists · 4 of 7 shots on target

H. Kane

Forward

8.51

1 matches · 90 min

1 goals · 1 assists · 2 of 6 shots on target

A. Davies

Centre-back

7.90

1 matches · 80 min

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

J. Musiala

Midfielder

7.86

1 matches · 65 min

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

L. Karl

Midfielder

6.71

1 matches · 10 min

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

M. Neuer

Goalkeeper

6.83

1 matches · 90 min

0 saves · 0 goals conceded

S. Ulreich

Goalkeeper

0.00

1 matches · 0 min

0 saves · 0 goals conceded

Slavia Praha

D. Šturm

Forward

8.10

1 matches · 90 min

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

S. Isife

Midfielder

6.90

1 matches · 84 min

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

M. Sadílek

Midfielder

6.79

1 matches · 90 min

0 goals · 0 assists · 1 of 3 shots on target

I. Schranz

Forward

6.45

1 matches · 6 min

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

Š. Chaloupek

Centre-back

6.35

1 matches · 90 min

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

J. Markovič

Goalkeeper

6.66

1 matches · 90 min

4 saves · 0 goals conceded

Adam Rezek

Goalkeeper

0.00

1 matches · 0 min

0 saves · 0 goals conceded

H2H

Recent meetings

Insufficient data

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.