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Inter vs VfB Stuttgart: statistics and analysis

CHAMPIONS LEAGUE 2026/27 · PRE-MATCH ANALYSIS

Matchday 5

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

Inter

Inter

25 · 0 pts · 1 P · 0 W · 0 D · 1 L · GD -1

VSVfB Stuttgart

VfB Stuttgart

6 · 3 pts · 1 P · 1 W · 0 D · 0 L · GD 2

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

76.1%

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

Model factors

  • League average — goals: 3.07

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.62 × 1.51

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

  • Opponent strength: 1489 × 1509

    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: 61

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

  • Sample per team: 11 / 1

    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: 1.62 × 1.51

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

  • Signal consensus: 76.7

    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 76.1%, low confidence and a sample of 1 matches per team.

League average — goals: 3.07 (Weighted average using only matches played before the fixture.) Home/away strength: 1.62 × 1.51 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1489 × 1509 (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

61.4%

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

Model factors

  • League average — goals: 3.07

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.62 × 1.51

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

  • Opponent strength: 1489 × 1509

    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: 61

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

  • Sample per team: 11 / 1

    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: 1.62 × 1.51

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

  • Signal consensus: 86.5

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Both teams to score has a model probability of 61.4%, low confidence and a sample of 1 matches per team.

League average — goals: 3.07 (Weighted average using only matches played before the fixture.) Home/away strength: 1.62 × 1.51 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1489 × 1509 (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

75.7%

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

Model factors

  • League average — goals: 3.07

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.62 × 1.51

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

  • Opponent strength: 1489 × 1509

    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: 61

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

  • Sample per team: 11 / 1

    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: 1.62 × 1.51

    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: 68.1

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance 12 has a model probability of 75.7%, low confidence and a sample of 1 matches per team.

League average — goals: 3.07 (Weighted average using only matches played before the fixture.) Home/away strength: 1.62 × 1.51 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1489 × 1509 (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

95.7%

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

Model factors

  • League average — goals: 3.07

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.62 × 1.51

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

  • Opponent strength: 1489 × 1509

    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: 61

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

  • Sample per team: 11 / 1

    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: 1.62 × 1.51

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

  • Signal consensus: 99.4

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 0.5 goals has a model probability of 95.7%, low confidence and a sample of 1 matches per team.

League average — goals: 3.07 (Weighted average using only matches played before the fixture.) Home/away strength: 1.62 × 1.51 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1489 × 1509 (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

82.3%

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

Model factors

  • League average — goals: 3.07

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.62 × 1.51

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

  • Opponent strength: 1489 × 1509

    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: 61

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

  • Sample per team: 11 / 1

    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: 1.62 × 1.51

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

  • Signal consensus: 95.2

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 1.5 goals has a model probability of 82.3%, low confidence and a sample of 1 matches per team.

League average — goals: 3.07 (Weighted average using only matches played before the fixture.) Home/away strength: 1.62 × 1.51 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1489 × 1509 (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

47.3%

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

Model factors

  • League average — goals: 3.07

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.62 × 1.51

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

  • Opponent strength: 1489 × 1509

    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: 61

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

  • Sample per team: 11 / 1

    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: 1.62 × 1.51

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

  • Signal consensus: 89.2

    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 47.3%, low confidence and a sample of 1 matches per team.

League average — goals: 3.07 (Weighted average using only matches played before the fixture.) Home/away strength: 1.62 × 1.51 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1489 × 1509 (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

35.6%

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

Model factors

  • League average — goals: 3.07

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.62 × 1.51

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

  • Opponent strength: 1489 × 1509

    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: 61

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

  • Sample per team: 11 / 1

    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: 1.62 × 1.51

    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: 86.5

    Agreement between the parametric model and the smoothed empirical frequency.

Draw

24.3%

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

Model factors

  • League average — goals: 3.07

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.62 × 1.51

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

  • Opponent strength: 1489 × 1509

    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: 61

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

  • Sample per team: 11 / 1

    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: 1.62 × 1.51

    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: 68.1

    Agreement between the parametric model and the smoothed empirical frequency.

Home win

40.1%

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

Model factors

  • League average — goals: 3.07

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.62 × 1.51

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

  • Opponent strength: 1489 × 1509

    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: 61

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

  • Sample per team: 11 / 1

    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: 1.62 × 1.51

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

  • Score matrix: 0–10 goals per team

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

  • Signal consensus: 53.9

    Agreement between the parametric model and the smoothed empirical frequency.

18+ · Statistical estimates, not guaranteed outcomes. Bet responsibly.

Data interpretation

RadarOnze analysis

An original, deterministic reading of the real samples shown on this page.

Across 10 recent matches, Inter recorded 4 wins, 0 draws and 6 defeats and averaged 1.60 goals scored per match. VfB Stuttgart's 1-match sample contains 1 win, 0 draws and 0 defeats, with 3.00 goals scored per match.

Both teams scored in 6 of 10 matches (60%) of Inter's sample and 1 of 1 matches (100%) of VfB Stuttgart's. Over 2.5 goals occurred in 8 of 10 matches (80%) and 1 of 1 matches (100%), respectively.

Shot volume separates the sides at 18.70 per match for Inter and 17.00 for VfB Stuttgart. On target, the averages are 5.70 and 3.00, 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

Inter

5 matches
LLLWL
W
1
D
0
L
4
GF
6
GA
10

Last 5

VfB Stuttgart

1 match
W
W
1
D
0
L
0
GF
3
GA
1

Last 10

Inter

10 matches
LLLWLLLWWW
W
4
D
0
L
6
GF
16
GA
14

Last 1

VfB Stuttgart

1 match
W
W
1
D
0
L
0
GF
3
GA
1

Last 11

Inter

11 matches
LLLWLLLWWWW
W
5
D
0
L
6
GF
18
GA
14

Last 1

VfB Stuttgart

1 match
W
W
1
D
0
L
0
GF
3
GA
1

Season

Inter

11 matches
LLLWLLLWWWW
W
5
D
0
L
6
GF
18
GA
14

Season

VfB Stuttgart

1 match
W
W
1
D
0
L
0
GF
3
GA
1

Goals

Frequencies across the last 10

Average goals scored

Inter

1.60 · 10 matches

VfB Stuttgart

3.00 · 1 match

Average goals conceded

Inter

1.40 · 10 matches

VfB Stuttgart

1.00 · 1 match

Over 0.5

Inter

100% · 10 of 10 matches

VfB Stuttgart

100% · 1 of 1 matches

Over 1.5

Inter

90% · 9 of 10 matches

VfB Stuttgart

100% · 1 of 1 matches

Over 2.5

Inter

80% · 8 of 10 matches

VfB Stuttgart

100% · 1 of 1 matches

Over 3.5

Inter

30% · 3 of 10 matches

VfB Stuttgart

100% · 1 of 1 matches

Both teams scored

Inter

60% · 6 of 10 matches

VfB Stuttgart

100% · 1 of 1 matches

Clean sheet

Inter

30% · 3 of 10 matches

VfB Stuttgart

0% · 0 of 1 matches

Failed to score

Inter

10% · 1 of 10 matches

VfB Stuttgart

0% · 0 of 1 matches

Corners

Volume and observed lines

Average for

Inter

6.70 · 10 matches

VfB Stuttgart

4.00 · 1 match

Average against

Inter

3.60 · 10 matches

VfB Stuttgart

5.00 · 1 match

Total average

Inter

10.30 · 10 matches

VfB Stuttgart

9.00 · 1 match

Over 7.5

Inter

70% · 7 of 10 matches

VfB Stuttgart

100% · 1 of 1 matches

Over 8.5

Inter

60% · 6 of 10 matches

VfB Stuttgart

100% · 1 of 1 matches

Over 9.5

Inter

50% · 5 of 10 matches

VfB Stuttgart

0% · 0 of 1 matches

Over 10.5

Inter

50% · 5 of 10 matches

VfB Stuttgart

0% · 0 of 1 matches

Over 11.5

Inter

40% · 4 of 10 matches

VfB Stuttgart

0% · 0 of 1 matches

Cards

Averages and frequencies

Team average

Inter

1.60 · 10 matches

VfB Stuttgart

0.00 · 1 match

Opponent average

Inter

1.10 · 10 matches

VfB Stuttgart

3.00 · 1 match

Total average

Inter

2.70 · 10 matches

VfB Stuttgart

3.00 · 1 match

Over 2.5

Inter

50% · 5 of 10 matches

VfB Stuttgart

100% · 1 of 1 matches

Over 3.5

Inter

30% · 3 of 10 matches

VfB Stuttgart

0% · 0 of 1 matches

Over 4.5

Inter

10% · 1 of 10 matches

VfB Stuttgart

0% · 0 of 1 matches

Over 5.5

Inter

0% · 0 of 10 matches

VfB Stuttgart

0% · 0 of 1 matches

Fouls

Match intensity

Committed average

Inter

10.00 · 10 matches

VfB Stuttgart

13.00 · 1 match

Opponent average

Inter

13.30 · 10 matches

VfB Stuttgart

13.00 · 1 match

Total average

Inter

23.30 · 10 matches

VfB Stuttgart

26.00 · 1 match

Shots

Production and concessions

Average shots

Inter

18.70 · 10 matches

VfB Stuttgart

17.00 · 1 match

Average shots on target

Inter

5.70 · 10 matches

VfB Stuttgart

3.00 · 1 match

Average shots conceded

Inter

10.90 · 10 matches

VfB Stuttgart

9.00 · 1 match

Average shots on target conceded

Inter

4.70 · 10 matches

VfB Stuttgart

3.00 · 1 match

Average xG

Inter

2.11 · 9 matches

VfB Stuttgart

Insufficient data

Average xG against

Inter

1.06 · 9 matches

VfB Stuttgart

Insufficient data

Home vs away

Inter at home × VfB Stuttgart away

Inter at home

Inter

5 matches
LLLWW
W
2
D
0
L
3
GF
7
GA
7

VfB Stuttgart away

VfB Stuttgart

0 matches

Insufficient data

Average goals scored

Inter at home

1.40 · 5 matches

VfB Stuttgart away

0.00 · 0 matches

Average goals conceded

Inter at home

1.40 · 5 matches

VfB Stuttgart away

0.00 · 0 matches

Over 0.5

Inter at home

100% · 5 of 5 matches

VfB Stuttgart away

Insufficient data

Over 1.5

Inter at home

80% · 4 of 5 matches

VfB Stuttgart away

Insufficient data

Over 2.5

Inter at home

80% · 4 of 5 matches

VfB Stuttgart away

Insufficient data

Over 3.5

Inter at home

20% · 1 of 5 matches

VfB Stuttgart away

Insufficient data

Both teams scored

Inter at home

60% · 3 of 5 matches

VfB Stuttgart away

Insufficient data

Clean sheet

Inter at home

20% · 1 of 5 matches

VfB Stuttgart away

Insufficient data

Failed to score

Inter at home

20% · 1 of 5 matches

VfB Stuttgart away

Insufficient data

Total corner average

Inter at home

10.80 · 5 matches

VfB Stuttgart away

Insufficient data

Over 8.5 corners

Inter at home

80% · 4 of 5 matches

VfB Stuttgart away

Insufficient data

Total card average

Inter at home

3.00 · 5 matches

VfB Stuttgart away

Insufficient data

Players and goalkeepers

Pre-match highlights

Inter

Carlos Augusto

Centre-back

8.20

1 matches · 83 min

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

Lautaro Martínez

Forward

7.52

1 matches · 90 min

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

H. Çalhanoğlu

Midfielder

7.20

1 matches · 60 min

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

N. Barella

Midfielder

7.11

1 matches · 60 min

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

P. Sučić

Midfielder

7.03

1 matches · 30 min

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

Josep Martínez

Goalkeeper

7.60

1 matches · 90 min

6 saves · 0 goals conceded

R. Di Gennaro

Goalkeeper

0.00

1 matches · 0 min

0 saves · 0 goals conceded

VfB Stuttgart

E. Demirović

Forward

9.50

1 matches · 62 min

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

D. Undav

Midfielder

7.97

1 matches · 90 min

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

A. Stiller

Midfielder

7.70

1 matches · 90 min

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

J. Chabot

Centre-back

7.44

1 matches · 90 min

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

B. El Khannouss

Midfielder

6.90

1 matches · 71 min

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

F. Bredlow

Goalkeeper

6.55

1 matches · 90 min

2 saves · 0 goals conceded

M. Funk

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

Descriptive analysis based exclusively on available frequencies.