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FC Porto vs Slavia Praha: statistics and analysis

CHAMPIONS LEAGUE 2026/27 · PRE-MATCH ANALYSIS

Matchday 7

· LONDON TIME · Stadium not provided · Referee: not provided

FC Porto

FC Porto

31 · 0 pts · 1 P · 0 W · 0 D · 1 L · GD -2

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

63.5%

low
View full analysis
Sample
1 matches/team
Model
radaronze-v1

Model factors

  • League average — goals: 3.09

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.95 × 1.13

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

  • Opponent strength: 1489 × 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: 60.7

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

  • Sample per team: 1 / 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: 1.95 × 1.13

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

  • Signal consensus: 44.1

    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 63.5%, low confidence and a sample of 1 matches per team.

League average — goals: 3.09 (Weighted average using only matches played before the fixture.) Home/away strength: 1.95 × 1.13 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1489 × 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

56.4%

low
View full analysis
Sample
1 matches/team
Model
radaronze-v1

Model factors

  • League average — goals: 3.09

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.95 × 1.13

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

  • Opponent strength: 1489 × 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: 60.7

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

  • Sample per team: 1 / 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: 1.95 × 1.13

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

  • Signal consensus: 78.5

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Both teams to score has a model probability of 56.4%, low confidence and a sample of 1 matches per team.

League average — goals: 3.09 (Weighted average using only matches played before the fixture.) Home/away strength: 1.95 × 1.13 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1489 × 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

77.4%

low
View full analysis
Sample
1 matches/team
Model
radaronze-v1

Model factors

  • League average — goals: 3.09

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.95 × 1.13

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

  • Opponent strength: 1489 × 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: 60.7

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

  • Sample per team: 1 / 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: 1.95 × 1.13

    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: 96.1

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance 12 has a model probability of 77.4%, low confidence and a sample of 1 matches per team.

League average — goals: 3.09 (Weighted average using only matches played before the fixture.) Home/away strength: 1.95 × 1.13 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1489 × 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

94.7%

low
View full analysis
Sample
1 matches/team
Model
radaronze-v1

Model factors

  • League average — goals: 3.09

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.95 × 1.13

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

  • Opponent strength: 1489 × 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: 60.7

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

  • Sample per team: 1 / 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: 1.95 × 1.13

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

  • Signal consensus: 90.3

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 0.5 goals has a model probability of 94.7%, low confidence and a sample of 1 matches per team.

League average — goals: 3.09 (Weighted average using only matches played before the fixture.) Home/away strength: 1.95 × 1.13 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1489 × 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

81.1%

low
View full analysis
Sample
1 matches/team
Model
radaronze-v1

Model factors

  • League average — goals: 3.09

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.95 × 1.13

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

  • Opponent strength: 1489 × 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: 60.7

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

  • Sample per team: 1 / 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: 1.95 × 1.13

    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

Over 1.5 goals has a model probability of 81.1%, low confidence and a sample of 1 matches per team.

League average — goals: 3.09 (Weighted average using only matches played before the fixture.) Home/away strength: 1.95 × 1.13 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1489 × 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

52.6%

low
View full analysis
Sample
1 matches/team
Model
radaronze-v1

Model factors

  • League average — goals: 3.09

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.95 × 1.13

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

  • Opponent strength: 1489 × 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: 60.7

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

  • Sample per team: 1 / 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: 1.95 × 1.13

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

  • Signal consensus: 29.6

    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 52.6%, low confidence and a sample of 1 matches per team.

League average — goals: 3.09 (Weighted average using only matches played before the fixture.) Home/away strength: 1.95 × 1.13 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1489 × 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

22.4%

low
View full analysis
Sample
1 matches/team
Model
radaronze-v1

Model factors

  • League average — goals: 3.09

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.95 × 1.13

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

  • Opponent strength: 1489 × 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: 60.7

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

  • Sample per team: 1 / 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: 1.95 × 1.13

    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: 58.2

    Agreement between the parametric model and the smoothed empirical frequency.

Draw

22.6%

low
View full analysis
Sample
1 matches/team
Model
radaronze-v1

Model factors

  • League average — goals: 3.09

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.95 × 1.13

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

  • Opponent strength: 1489 × 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: 60.7

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

  • Sample per team: 1 / 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: 1.95 × 1.13

    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: 96.1

    Agreement between the parametric model and the smoothed empirical frequency.

Home win

55.0%

low
View full analysis
Sample
1 matches/team
Model
radaronze-v1

Model factors

  • League average — goals: 3.09

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.95 × 1.13

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

  • Opponent strength: 1489 × 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: 60.7

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

  • Sample per team: 1 / 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: 1.95 × 1.13

    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: 62.7

    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 1 recent match, FC Porto recorded 0 wins, 0 draws and 1 defeat and averaged 0.00 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 FC Porto at home with 0 wins, 0 draws and 1 defeat in 1 match, averaging 0.00 goals scored and 2.00 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 0 of 1 matches (0%) of FC Porto's sample and 4 of 9 matches (44%) of Slavia Praha's. Over 2.5 goals occurred in 0 of 1 matches (0%) and 7 of 9 matches (78%), respectively.

Shot volume separates the sides at 5.00 per match for FC Porto and 13.00 for Slavia Praha. On target, the averages are 0.00 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

FC Porto

1 match
L
W
0
D
0
L
1
GF
0
GA
2

Last 5

Slavia Praha

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

Last 1

FC Porto

1 match
L
W
0
D
0
L
1
GF
0
GA
2

Last 9

Slavia Praha

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

Last 1

FC Porto

1 match
L
W
0
D
0
L
1
GF
0
GA
2

Last 9

Slavia Praha

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

Season

FC Porto

1 match
L
W
0
D
0
L
1
GF
0
GA
2

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

FC Porto

0.00 · 1 match

Slavia Praha

0.78 · 9 matches

Average goals conceded

FC Porto

2.00 · 1 match

Slavia Praha

2.44 · 9 matches

Over 0.5

FC Porto

100% · 1 of 1 matches

Slavia Praha

78% · 7 of 9 matches

Over 1.5

FC Porto

100% · 1 of 1 matches

Slavia Praha

78% · 7 of 9 matches

Over 2.5

FC Porto

0% · 0 of 1 matches

Slavia Praha

78% · 7 of 9 matches

Over 3.5

FC Porto

0% · 0 of 1 matches

Slavia Praha

44% · 4 of 9 matches

Both teams scored

FC Porto

0% · 0 of 1 matches

Slavia Praha

44% · 4 of 9 matches

Clean sheet

FC Porto

0% · 0 of 1 matches

Slavia Praha

22% · 2 of 9 matches

Failed to score

FC Porto

100% · 1 of 1 matches

Slavia Praha

56% · 5 of 9 matches

Corners

Volume and observed lines

Average for

FC Porto

2.00 · 1 match

Slavia Praha

3.67 · 9 matches

Average against

FC Porto

5.00 · 1 match

Slavia Praha

6.22 · 9 matches

Total average

FC Porto

7.00 · 1 match

Slavia Praha

9.89 · 9 matches

Over 7.5

FC Porto

0% · 0 of 1 matches

Slavia Praha

78% · 7 of 9 matches

Over 8.5

FC Porto

0% · 0 of 1 matches

Slavia Praha

78% · 7 of 9 matches

Over 9.5

FC Porto

0% · 0 of 1 matches

Slavia Praha

56% · 5 of 9 matches

Over 10.5

FC Porto

0% · 0 of 1 matches

Slavia Praha

44% · 4 of 9 matches

Over 11.5

FC Porto

0% · 0 of 1 matches

Slavia Praha

22% · 2 of 9 matches

Cards

Averages and frequencies

Team average

FC Porto

1.00 · 1 match

Slavia Praha

1.89 · 9 matches

Opponent average

FC Porto

3.00 · 1 match

Slavia Praha

2.33 · 9 matches

Total average

FC Porto

4.00 · 1 match

Slavia Praha

4.22 · 9 matches

Over 2.5

FC Porto

100% · 1 of 1 matches

Slavia Praha

78% · 7 of 9 matches

Over 3.5

FC Porto

100% · 1 of 1 matches

Slavia Praha

67% · 6 of 9 matches

Over 4.5

FC Porto

0% · 0 of 1 matches

Slavia Praha

56% · 5 of 9 matches

Over 5.5

FC Porto

0% · 0 of 1 matches

Slavia Praha

22% · 2 of 9 matches

Fouls

Match intensity

Committed average

FC Porto

10.00 · 1 match

Slavia Praha

15.89 · 9 matches

Opponent average

FC Porto

17.00 · 1 match

Slavia Praha

10.67 · 9 matches

Total average

FC Porto

27.00 · 1 match

Slavia Praha

26.56 · 9 matches

Shots

Production and concessions

Average shots

FC Porto

5.00 · 1 match

Slavia Praha

13.00 · 9 matches

Average shots on target

FC Porto

0.00 · 1 match

Slavia Praha

3.89 · 9 matches

Average shots conceded

FC Porto

20.00 · 1 match

Slavia Praha

17.67 · 9 matches

Average shots on target conceded

FC Porto

10.00 · 1 match

Slavia Praha

7.89 · 9 matches

Average xG

FC Porto

Insufficient data

Slavia Praha

1.19 · 8 matches

Average xG against

FC Porto

Insufficient data

Slavia Praha

2.21 · 8 matches

Home vs away

FC Porto at home × Slavia Praha away

FC Porto at home

FC Porto

1 match
L
W
0
D
0
L
1
GF
0
GA
2

Slavia Praha away

Slavia Praha

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

FC Porto at home

0.00 · 1 match

Slavia Praha away

0.25 · 4 matches

Average goals conceded

FC Porto at home

2.00 · 1 match

Slavia Praha away

2.50 · 4 matches

Over 0.5

FC Porto at home

100% · 1 of 1 matches

Slavia Praha away

75% · 3 of 4 matches

Over 1.5

FC Porto at home

100% · 1 of 1 matches

Slavia Praha away

75% · 3 of 4 matches

Over 2.5

FC Porto at home

0% · 0 of 1 matches

Slavia Praha away

75% · 3 of 4 matches

Over 3.5

FC Porto at home

0% · 0 of 1 matches

Slavia Praha away

25% · 1 of 4 matches

Both teams scored

FC Porto at home

0% · 0 of 1 matches

Slavia Praha away

25% · 1 of 4 matches

Clean sheet

FC Porto at home

0% · 0 of 1 matches

Slavia Praha away

25% · 1 of 4 matches

Failed to score

FC Porto at home

100% · 1 of 1 matches

Slavia Praha away

75% · 3 of 4 matches

Total corner average

FC Porto at home

7.00 · 1 match

Slavia Praha away

8.75 · 4 matches

Over 8.5 corners

FC Porto at home

0% · 0 of 1 matches

Slavia Praha away

75% · 3 of 4 matches

Total card average

FC Porto at home

4.00 · 1 match

Slavia Praha away

4.50 · 4 matches

Players and goalkeepers

Pre-match highlights

FC Porto

N. Pérez

Centre-back

6.62

1 matches · 90 min

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

J. Kiwior

Centre-back

6.61

1 matches · 90 min

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

S. Giménez

Forward

6.52

1 matches · 17 min

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

Borja Sainz

Forward

6.44

1 matches · 22 min

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

Martim Fernandes

Centre-back

6.42

1 matches · 73 min

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

Diogo Costa

Goalkeeper

8.27

1 matches · 90 min

8 saves · 0 goals conceded

Andorinha

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

No strong convergence was identified from the available samples.

Descriptive analysis based exclusively on available frequencies.