RadarOnze

Manchester City vs Manchester United: statistics and analysis

PREMIER LEAGUE 2026/27 · PRE-MATCH ANALYSIS

Round 30

· LONDON TIME · Etihad Stadium · Referee: not provided

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

72.6%

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

Model factors

  • League average — goals: 2.76

    Weighted average using only matches played before the fixture.

  • Home/away strength: 2.02 × 1.16

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

  • Opponent strength: 1641 × 1575

    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: 60.5

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

  • Sample per team: 43 / 43

    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: 1.73 × 1.28

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

  • Model expected goals: 1.94 × 1.19

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

  • Signal consensus: 60.6

    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 72.6%, medium confidence and a sample of 43 matches per team.

League average — goals: 2.76 (Weighted average using only matches played before the fixture.) Home/away strength: 2.02 × 1.16 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1641 × 1575 (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 4.5 yellow cards

31.4%

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

Model factors

  • League average — metric: 3.92

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.97 × 1.69

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

  • Opponent strength: 1641 × 1575

    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: 68.2

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

  • Sample per team: 41 / 42

    Valid home-team and away-team matches available before kick-off.

  • Historical coverage: 96.7%

    Share of previous matches with complete data for this market.

  • Model expected metric: 3.67

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

  • Signal consensus: 90

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 4.5 yellow cards has a model probability of 31.4%, high confidence and a sample of 41 matches per team.

League average — metric: 3.92 (Weighted average using only matches played before the fixture.) Home/away strength: 1.97 × 1.69 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1641 × 1575 (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

76.2%

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

Model factors

  • League average — goals: 2.76

    Weighted average using only matches played before the fixture.

  • Home/away strength: 2.02 × 1.16

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

  • Opponent strength: 1641 × 1575

    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: 60.5

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

  • Sample per team: 43 / 43

    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: 1.73 × 1.28

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

  • Model expected goals: 1.94 × 1.19

    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: 85

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance 1X has a model probability of 76.2%, medium confidence and a sample of 43 matches per team.

League average — goals: 2.76 (Weighted average using only matches played before the fixture.) Home/away strength: 2.02 × 1.16 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1641 × 1575 (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

46.5%

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

Model factors

  • League average — goals: 2.76

    Weighted average using only matches played before the fixture.

  • Home/away strength: 2.02 × 1.16

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

  • Opponent strength: 1641 × 1575

    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: 60.5

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

  • Sample per team: 43 / 43

    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: 1.73 × 1.28

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

  • Model expected goals: 1.94 × 1.19

    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: 71.2

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance X2 has a model probability of 46.5%, medium confidence and a sample of 43 matches per team.

League average — goals: 2.76 (Weighted average using only matches played before the fixture.) Home/away strength: 2.02 × 1.16 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1641 × 1575 (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

89.0%

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

Model factors

  • League average — shots: 25.5

    Weighted average using only matches played before the fixture.

  • Home/away strength: 14.61 × 12.20

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

  • Opponent strength: 1641 × 1575

    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: 43 / 43

    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: 26.81

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

  • Signal consensus: 97.4

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 20.5 shots has a model probability of 89.0%, high confidence and a sample of 43 matches per team.

League average — shots: 25.5 (Weighted average using only matches played before the fixture.) Home/away strength: 14.61 × 12.20 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1641 × 1575 (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

23.8%

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

Model factors

  • League average — goals: 2.76

    Weighted average using only matches played before the fixture.

  • Home/away strength: 2.02 × 1.16

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

  • Opponent strength: 1641 × 1575

    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: 60.5

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

  • Sample per team: 43 / 43

    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: 1.73 × 1.28

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

  • Model expected goals: 1.94 × 1.19

    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: 85

    Agreement between the parametric model and the smoothed empirical frequency.

Draw

22.7%

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

Model factors

  • League average — goals: 2.76

    Weighted average using only matches played before the fixture.

  • Home/away strength: 2.02 × 1.16

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

  • Opponent strength: 1641 × 1575

    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: 60.5

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

  • Sample per team: 43 / 43

    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: 1.73 × 1.28

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

  • Model expected goals: 1.94 × 1.19

    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: 85.9

    Agreement between the parametric model and the smoothed empirical frequency.

Home win

53.5%

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

Model factors

  • League average — goals: 2.76

    Weighted average using only matches played before the fixture.

  • Home/away strength: 2.02 × 1.16

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

  • Opponent strength: 1641 × 1575

    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: 60.5

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

  • Sample per team: 43 / 43

    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: 1.73 × 1.28

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

  • Model expected goals: 1.94 × 1.19

    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: 71.2

    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 5 recent matches, Manchester City recorded 5 wins, 0 draws and 0 defeats and averaged 2.60 goals scored per match. Manchester United's 5-match sample contains 1 win, 2 draws and 2 defeats, with 1.60 goals scored per match.

The venue split shows Manchester City at home with 3 wins, 0 draws and 0 defeats in 3 matches, averaging 2.67 goals scored and 1.33 goals conceded. Away from home, Manchester United has 0 wins, 2 draws and 1 defeat in 3 matches, with 1.00 goal scored and 1.67 goals conceded.

Both teams scored in 3 of 5 matches (60%) of Manchester City's sample and 3 of 5 matches (60%) of Manchester United's. Over 2.5 goals occurred in 3 of 5 matches (60%) and 2 of 5 matches (40%), respectively.

Shot volume separates the sides at 13.60 per match for Manchester City and 22.60 for Manchester United. On target, the averages are 5.40 and 5.80, 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

Manchester City

5 matches
WWWWW
W
5
D
0
L
0
GF
13
GA
5

Last 5

Manchester United

5 matches
DLDWL
W
1
D
2
L
2
GF
8
GA
8

Last 5

Manchester City

5 matches
WWWWW
W
5
D
0
L
0
GF
13
GA
5

Last 5

Manchester United

5 matches
DLDWL
W
1
D
2
L
2
GF
8
GA
8

Last 5

Manchester City

5 matches
WWWWW
W
5
D
0
L
0
GF
13
GA
5

Last 5

Manchester United

5 matches
DLDWL
W
1
D
2
L
2
GF
8
GA
8

Season

Manchester City

5 matches
WWWWW
W
5
D
0
L
0
GF
13
GA
5

Season

Manchester United

5 matches
DLDWL
W
1
D
2
L
2
GF
8
GA
8

Goals

Frequencies across the last 10

Average goals scored

Manchester City

2.60 · 5 matches

Manchester United

1.60 · 5 matches

Average goals conceded

Manchester City

1.00 · 5 matches

Manchester United

1.60 · 5 matches

Over 0.5

Manchester City

100% · 5 of 5 matches

Manchester United

100% · 5 of 5 matches

Over 1.5

Manchester City

60% · 3 of 5 matches

Manchester United

80% · 4 of 5 matches

Over 2.5

Manchester City

60% · 3 of 5 matches

Manchester United

40% · 2 of 5 matches

Over 3.5

Manchester City

40% · 2 of 5 matches

Manchester United

40% · 2 of 5 matches

Both teams scored

Manchester City

60% · 3 of 5 matches

Manchester United

60% · 3 of 5 matches

Clean sheet

Manchester City

40% · 2 of 5 matches

Manchester United

0% · 0 of 5 matches

Failed to score

Manchester City

0% · 0 of 5 matches

Manchester United

40% · 2 of 5 matches

Corners

Volume and observed lines

Average for

Manchester City

6.20 · 5 matches

Manchester United

7.20 · 5 matches

Average against

Manchester City

4.20 · 5 matches

Manchester United

3.80 · 5 matches

Total average

Manchester City

10.40 · 5 matches

Manchester United

11.00 · 5 matches

Over 7.5

Manchester City

100% · 5 of 5 matches

Manchester United

60% · 3 of 5 matches

Over 8.5

Manchester City

80% · 4 of 5 matches

Manchester United

60% · 3 of 5 matches

Over 9.5

Manchester City

60% · 3 of 5 matches

Manchester United

60% · 3 of 5 matches

Over 10.5

Manchester City

60% · 3 of 5 matches

Manchester United

60% · 3 of 5 matches

Over 11.5

Manchester City

20% · 1 of 5 matches

Manchester United

60% · 3 of 5 matches

Cards

Averages and frequencies

Team average

Manchester City

1.40 · 5 matches

Manchester United

1.20 · 5 matches

Opponent average

Manchester City

1.40 · 5 matches

Manchester United

2.80 · 5 matches

Total average

Manchester City

2.80 · 5 matches

Manchester United

4.00 · 5 matches

Over 2.5

Manchester City

80% · 4 of 5 matches

Manchester United

100% · 5 of 5 matches

Over 3.5

Manchester City

20% · 1 of 5 matches

Manchester United

60% · 3 of 5 matches

Over 4.5

Manchester City

0% · 0 of 5 matches

Manchester United

20% · 1 of 5 matches

Over 5.5

Manchester City

0% · 0 of 5 matches

Manchester United

20% · 1 of 5 matches

Fouls

Match intensity

Committed average

Manchester City

10.60 · 5 matches

Manchester United

9.80 · 5 matches

Opponent average

Manchester City

13.40 · 5 matches

Manchester United

9.60 · 5 matches

Total average

Manchester City

24.00 · 5 matches

Manchester United

19.40 · 5 matches

Shots

Production and concessions

Average shots

Manchester City

13.60 · 5 matches

Manchester United

22.60 · 5 matches

Average shots on target

Manchester City

5.40 · 5 matches

Manchester United

5.80 · 5 matches

Average shots conceded

Manchester City

11.80 · 5 matches

Manchester United

10.60 · 5 matches

Average shots on target conceded

Manchester City

4.00 · 5 matches

Manchester United

4.60 · 5 matches

Average xG

Manchester City

2.23 · 2 matches

Manchester United

3.20 · 2 matches

Average xG against

Manchester City

0.66 · 2 matches

Manchester United

1.51 · 2 matches

Home vs away

Manchester City at home × Manchester United away

Manchester City at home

Manchester City

3 matches
WWW
W
3
D
0
L
0
GF
8
GA
4

Manchester United away

Manchester United

3 matches
DDL
W
0
D
2
L
1
GF
3
GA
5
Average goals scored

Manchester City at home

2.67 · 3 matches

Manchester United away

1.00 · 3 matches

Average goals conceded

Manchester City at home

1.33 · 3 matches

Manchester United away

1.67 · 3 matches

Over 0.5

Manchester City at home

100% · 3 of 3 matches

Manchester United away

100% · 3 of 3 matches

Over 1.5

Manchester City at home

67% · 2 of 3 matches

Manchester United away

100% · 3 of 3 matches

Over 2.5

Manchester City at home

67% · 2 of 3 matches

Manchester United away

33% · 1 of 3 matches

Over 3.5

Manchester City at home

33% · 1 of 3 matches

Manchester United away

33% · 1 of 3 matches

Both teams scored

Manchester City at home

67% · 2 of 3 matches

Manchester United away

67% · 2 of 3 matches

Clean sheet

Manchester City at home

33% · 1 of 3 matches

Manchester United away

0% · 0 of 3 matches

Failed to score

Manchester City at home

0% · 0 of 3 matches

Manchester United away

33% · 1 of 3 matches

Total corner average

Manchester City at home

10.33 · 3 matches

Manchester United away

10.00 · 3 matches

Over 8.5 corners

Manchester City at home

100% · 3 of 3 matches

Manchester United away

33% · 1 of 3 matches

Total card average

Manchester City at home

2.33 · 3 matches

Manchester United away

4.00 · 3 matches

Players and goalkeepers

Pre-match highlights

Manchester City

E. Haaland

Forward

7.71

5 matches · 450 min

5 goals · 0 assists · 10 of 19 shots on target

R. Cherki

Midfielder

7.57

5 matches · 305 min

3 goals · 2 assists · 4 of 9 shots on target

A. Semenyo

Midfielder

7.21

5 matches · 450 min

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

J. Gvardiol

Centre-back

6.87

5 matches · 435 min

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

M. Guéhi

Centre-back

7.24

5 matches · 450 min

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

G. Donnarumma

Goalkeeper

6.92

5 matches · 450 min

14 saves · 2 goals conceded

G. Rulli

Goalkeeper

0.00

3 matches · 0 min

0 saves · 0 goals conceded

Manchester United

Bruno Fernandes

Midfielder

7.44

5 matches · 458 min

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

B. Mbeumo

Forward

7.08

5 matches · 458 min

2 goals · 0 assists · 6 of 15 shots on target

Matheus Cunha

Forward

6.76

5 matches · 410 min

1 goals · 1 assists · 4 of 12 shots on target

K. Mainoo

Midfielder

7.25

5 matches · 357 min

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

L. Shaw

Centre-back

6.77

4 matches · 336 min

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

S. Lammens

Goalkeeper

7.02

5 matches · 458 min

16 saves · 4 goals conceded

K. Darlow

Goalkeeper

0.00

3 matches · 0 min

0 saves · 0 goals conceded

H2H

Recent meetings

Manchester United 0 × 1 Manchester City1557404
Average goals
1.00 · 1 match
Both teams scored
0% · 0 of 1 matches
Over 2.5
0% · 0 of 1 matches

H2H corners: 13.00 · 1 match

Combined view

Data convergences

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

Descriptive analysis based exclusively on available frequencies.