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Sabah FA vs Napoli: statistics and analysis

CHAMPIONS LEAGUE 2026/27 · PRE-MATCH ANALYSIS

Matchday 7

· LONDON TIME · Bank Respublika Arena · Referee: not provided

Sabah FA

Sabah FA

34 · 0 pts · 1 P · 0 W · 0 D · 1 L · GD -4

VSNapoli

Napoli

27 · 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

62.7%

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

Model factors

  • League average — goals: 3.09

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.97 × 1.05

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

  • Opponent strength: 1527 × 1475

    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: 9 / 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: 1.97 × 1.05

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

  • Signal consensus: 68.6

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Away team to score 1+ goals has a model probability of 62.7%, medium confidence and a sample of 9 matches per team.

League average — goals: 3.09 (Weighted average using only matches played before the fixture.) Home/away strength: 1.97 × 1.05 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1527 × 1475 (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

54.5%

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

Model factors

  • League average — goals: 3.09

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.97 × 1.05

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

  • Opponent strength: 1527 × 1475

    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: 9 / 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: 1.97 × 1.05

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

  • Signal consensus: 80

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Both teams to score has a model probability of 54.5%, medium confidence and a sample of 9 matches per team.

League average — goals: 3.09 (Weighted average using only matches played before the fixture.) Home/away strength: 1.97 × 1.05 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1527 × 1475 (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

77.7%

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

Model factors

  • League average — goals: 3.09

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.97 × 1.05

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

  • Opponent strength: 1527 × 1475

    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: 9 / 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: 1.97 × 1.05

    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: 76.4

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance 12 has a model probability of 77.7%, medium confidence and a sample of 9 matches per team.

League average — goals: 3.09 (Weighted average using only matches played before the fixture.) Home/away strength: 1.97 × 1.05 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1527 × 1475 (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

95.1%

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

Model factors

  • League average — goals: 3.09

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.97 × 1.05

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

  • Opponent strength: 1527 × 1475

    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: 9 / 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: 1.97 × 1.05

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

  • Signal consensus: 99.8

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 0.5 goals has a model probability of 95.1%, medium confidence and a sample of 9 matches per team.

League average — goals: 3.09 (Weighted average using only matches played before the fixture.) Home/away strength: 1.97 × 1.05 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1527 × 1475 (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

80.4%

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

Model factors

  • League average — goals: 3.09

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.97 × 1.05

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

  • Opponent strength: 1527 × 1475

    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: 9 / 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: 1.97 × 1.05

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

  • Signal consensus: 99.9

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 1.5 goals has a model probability of 80.4%, medium confidence and a sample of 9 matches per team.

League average — goals: 3.09 (Weighted average using only matches played before the fixture.) Home/away strength: 1.97 × 1.05 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1527 × 1475 (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

57.6%

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

Model factors

  • League average — goals: 3.09

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.97 × 1.05

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

  • Opponent strength: 1527 × 1475

    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: 9 / 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: 1.97 × 1.05

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

  • Signal consensus: 88.6

    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 57.6%, medium confidence and a sample of 9 matches per team.

League average — goals: 3.09 (Weighted average using only matches played before the fixture.) Home/away strength: 1.97 × 1.05 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1527 × 1475 (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

20.6%

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

Model factors

  • League average — goals: 3.09

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.97 × 1.05

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

  • Opponent strength: 1527 × 1475

    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: 9 / 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: 1.97 × 1.05

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

  • Score matrix: 0–10 goals per team

    The 1X2 probabilities are normalised to add up to exactly 100%.

  • Signal consensus: 77

    Agreement between the parametric model and the smoothed empirical frequency.

Draw

22.3%

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

Model factors

  • League average — goals: 3.09

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.97 × 1.05

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

  • Opponent strength: 1527 × 1475

    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: 9 / 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: 1.97 × 1.05

    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: 76.4

    Agreement between the parametric model and the smoothed empirical frequency.

Home win

57.1%

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

Model factors

  • League average — goals: 3.09

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.97 × 1.05

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

  • Opponent strength: 1527 × 1475

    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: 9 / 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: 1.97 × 1.05

    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: 98.9

    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 9 recent matches, Sabah FA recorded 6 wins, 0 draws and 3 defeats and averaged 1.78 goals scored per match. Napoli's 9-match sample contains 2 wins, 2 draws and 5 defeats, with 1.00 goal scored per match.

The venue split shows Sabah FA at home with 4 wins, 0 draws and 0 defeats in 4 matches, averaging 2.50 goals scored and 0.50 goals conceded. Away from home, Napoli has 0 wins, 1 draw and 3 defeats in 4 matches, with 0.75 goals scored and 2.75 goals conceded.

Both teams scored in 4 of 9 matches (44%) of Sabah FA's sample and 4 of 9 matches (44%) of Napoli's. Over 2.5 goals occurred in 6 of 9 matches (67%) and 3 of 9 matches (33%), respectively.

Shot volume separates the sides at 18.00 per match for Sabah FA and 11.00 for Napoli. On target, the averages are 6.17 and 3.56, 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

Sabah FA

5 matches
LWLWL
W
2
D
0
L
3
GF
9
GA
10

Last 5

Napoli

5 matches
LLDLW
W
1
D
1
L
3
GF
5
GA
7

Last 9

Sabah FA

9 matches
LWLWLWWWW
W
6
D
0
L
3
GF
16
GA
11

Last 9

Napoli

9 matches
LLDLWDLWL
W
2
D
2
L
5
GF
9
GA
16

Last 9

Sabah FA

9 matches
LWLWLWWWW
W
6
D
0
L
3
GF
16
GA
11

Last 9

Napoli

9 matches
LLDLWDLWL
W
2
D
2
L
5
GF
9
GA
16

Season

Sabah FA

9 matches
LWLWLWWWW
W
6
D
0
L
3
GF
16
GA
11

Season

Napoli

9 matches
LLDLWDLWL
W
2
D
2
L
5
GF
9
GA
16

Goals

Frequencies across the last 10

Average goals scored

Sabah FA

1.78 · 9 matches

Napoli

1.00 · 9 matches

Average goals conceded

Sabah FA

1.22 · 9 matches

Napoli

1.78 · 9 matches

Over 0.5

Sabah FA

100% · 9 of 9 matches

Napoli

89% · 8 of 9 matches

Over 1.5

Sabah FA

89% · 8 of 9 matches

Napoli

78% · 7 of 9 matches

Over 2.5

Sabah FA

67% · 6 of 9 matches

Napoli

33% · 3 of 9 matches

Over 3.5

Sabah FA

33% · 3 of 9 matches

Napoli

22% · 2 of 9 matches

Both teams scored

Sabah FA

44% · 4 of 9 matches

Napoli

44% · 4 of 9 matches

Clean sheet

Sabah FA

44% · 4 of 9 matches

Napoli

22% · 2 of 9 matches

Failed to score

Sabah FA

11% · 1 of 9 matches

Napoli

44% · 4 of 9 matches

Corners

Volume and observed lines

Average for

Sabah FA

5.00 · 6 matches

Napoli

5.44 · 9 matches

Average against

Sabah FA

4.33 · 6 matches

Napoli

3.56 · 9 matches

Total average

Sabah FA

9.33 · 6 matches

Napoli

9.00 · 9 matches

Over 7.5

Sabah FA

67% · 4 of 6 matches

Napoli

78% · 7 of 9 matches

Over 8.5

Sabah FA

67% · 4 of 6 matches

Napoli

56% · 5 of 9 matches

Over 9.5

Sabah FA

50% · 3 of 6 matches

Napoli

44% · 4 of 9 matches

Over 10.5

Sabah FA

50% · 3 of 6 matches

Napoli

33% · 3 of 9 matches

Over 11.5

Sabah FA

17% · 1 of 6 matches

Napoli

22% · 2 of 9 matches

Cards

Averages and frequencies

Team average

Sabah FA

1.00 · 6 matches

Napoli

2.00 · 8 matches

Opponent average

Sabah FA

3.00 · 6 matches

Napoli

1.63 · 8 matches

Total average

Sabah FA

4.00 · 6 matches

Napoli

3.63 · 8 matches

Over 2.5

Sabah FA

83% · 5 of 6 matches

Napoli

88% · 7 of 8 matches

Over 3.5

Sabah FA

33% · 2 of 6 matches

Napoli

38% · 3 of 8 matches

Over 4.5

Sabah FA

17% · 1 of 6 matches

Napoli

25% · 2 of 8 matches

Over 5.5

Sabah FA

17% · 1 of 6 matches

Napoli

13% · 1 of 8 matches

Fouls

Match intensity

Committed average

Sabah FA

12.60 · 5 matches

Napoli

13.56 · 9 matches

Opponent average

Sabah FA

12.00 · 5 matches

Napoli

9.89 · 9 matches

Total average

Sabah FA

24.60 · 5 matches

Napoli

23.44 · 9 matches

Shots

Production and concessions

Average shots

Sabah FA

18.00 · 6 matches

Napoli

11.00 · 9 matches

Average shots on target

Sabah FA

6.17 · 6 matches

Napoli

3.56 · 9 matches

Average shots conceded

Sabah FA

14.50 · 6 matches

Napoli

13.67 · 9 matches

Average shots on target conceded

Sabah FA

5.67 · 6 matches

Napoli

5.33 · 9 matches

Average xG

Sabah FA

Insufficient data

Napoli

1.33 · 8 matches

Average xG against

Sabah FA

Insufficient data

Napoli

1.61 · 8 matches

Home vs away

Sabah FA at home × Napoli away

Sabah FA at home

Sabah FA

4 matches
WWWW
W
4
D
0
L
0
GF
10
GA
2

Napoli away

Napoli

4 matches
DLLL
W
0
D
1
L
3
GF
3
GA
11
Average goals scored

Sabah FA at home

2.50 · 4 matches

Napoli away

0.75 · 4 matches

Average goals conceded

Sabah FA at home

0.50 · 4 matches

Napoli away

2.75 · 4 matches

Over 0.5

Sabah FA at home

100% · 4 of 4 matches

Napoli away

100% · 4 of 4 matches

Over 1.5

Sabah FA at home

75% · 3 of 4 matches

Napoli away

100% · 4 of 4 matches

Over 2.5

Sabah FA at home

50% · 2 of 4 matches

Napoli away

25% · 1 of 4 matches

Over 3.5

Sabah FA at home

50% · 2 of 4 matches

Napoli away

25% · 1 of 4 matches

Both teams scored

Sabah FA at home

25% · 1 of 4 matches

Napoli away

50% · 2 of 4 matches

Clean sheet

Sabah FA at home

75% · 3 of 4 matches

Napoli away

0% · 0 of 4 matches

Failed to score

Sabah FA at home

0% · 0 of 4 matches

Napoli away

50% · 2 of 4 matches

Total corner average

Sabah FA at home

12.50 · 2 matches

Napoli away

10.75 · 4 matches

Over 8.5 corners

Sabah FA at home

100% · 2 of 2 matches

Napoli away

75% · 3 of 4 matches

Total card average

Sabah FA at home

6.00 · 2 matches

Napoli away

4.00 · 4 matches

Players and goalkeepers

Pre-match highlights

Sabah FA

J. Mickels

Forward

5.95

6 matches · 552 min

3 goals · 1 assists · 8 of 21 shots on target

V. Simić

Forward

6.41

6 matches · 512 min

3 goals · 0 assists · 4 of 6 shots on target

A. Isaev

Midfielder

5.88

6 matches · 401 min

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

T. Puchacz

Centre-back

5.63

6 matches · 545 min

0 goals · 3 assists · 0 of 5 shots on target

U. Rahmonaliyev

Midfielder

5.90

6 matches · 516 min

1 goals · 1 assists · 5 of 10 shots on target

S. Pokatilov

Goalkeeper

5.61

6 matches · 575 min

18 saves · 6 goals conceded

A. Ramazanov

Goalkeeper

0.00

2 matches · 0 min

0 saves · 0 goals conceded

Napoli

Rafa Marín

Centre-back

7.10

1 matches · 90 min

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

M. Olivera

Centre-back

6.85

1 matches · 90 min

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

Amir Rrahmani

Centre-back

6.76

1 matches · 90 min

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

G. Di Lorenzo

Centre-back

6.73

1 matches · 90 min

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

M. Politano

Midfielder

6.64

1 matches · 57 min

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

A. Meret

Goalkeeper

7.40

1 matches · 45 min

3 saves · 0 goals conceded

V. Milinković-Savić

Goalkeeper

6.72

1 matches · 45 min

3 saves · 0 goals conceded

H2H

Recent meetings

Insufficient data

Combined view

Data convergences

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

Descriptive analysis based exclusively on available frequencies.