RadarOnze

Newcastle vs Manchester City: statistics and analysis

PREMIER LEAGUE 2026/27 · PRE-MATCH ANALYSIS

Round 17

· LONDON TIME · St James' Park · 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

90.3%

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

Model factors

  • League average — goals: 2.77

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.08 × 2.37

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

  • Opponent strength: 1490 × 1641

    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: 60.1

    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: 1.19 × 2.16

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

  • Model expected goals: 1.11 × 2.31

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

  • Signal consensus: 97.7

    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 90.3%, high confidence and a sample of 43 matches per team.

League average — goals: 2.77 (Weighted average using only matches played before the fixture.) Home/away strength: 1.08 × 2.37 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1490 × 1641 (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

43.0%

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

Model factors

  • League average — metric: 3.9

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.70 × 2.70

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

  • Opponent strength: 1490 × 1641

    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

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

  • Sample per team: 42 / 41

    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: 4.40

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

  • Signal consensus: 74.8

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 4.5 yellow cards has a model probability of 43.0%, medium confidence and a sample of 41 matches per team.

League average — metric: 3.9 (Weighted average using only matches played before the fixture.) Home/away strength: 1.70 × 2.70 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1490 × 1641 (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

37.5%

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

Model factors

  • League average — goals: 2.77

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.08 × 2.37

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

  • Opponent strength: 1490 × 1641

    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: 60.1

    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: 1.19 × 2.16

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

  • Model expected goals: 1.11 × 2.31

    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: 0

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance 1X has a model probability of 37.5%, medium confidence and a sample of 43 matches per team.

League average — goals: 2.77 (Weighted average using only matches played before the fixture.) Home/away strength: 1.08 × 2.37 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1490 × 1641 (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

82.2%

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

Model factors

  • League average — goals: 2.77

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.08 × 2.37

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

  • Opponent strength: 1490 × 1641

    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: 60.1

    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: 1.19 × 2.16

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

  • Model expected goals: 1.11 × 2.31

    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: 1.4

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance X2 has a model probability of 82.2%, medium confidence and a sample of 43 matches per team.

League average — goals: 2.77 (Weighted average using only matches played before the fixture.) Home/away strength: 1.08 × 2.37 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1490 × 1641 (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

90.8%

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

Model factors

  • League average — shots: 25.76

    Weighted average using only matches played before the fixture.

  • Home/away strength: 9.45 × 18.34

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

  • Opponent strength: 1490 × 1641

    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: 85.2

    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: 27.79

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

  • Signal consensus: 81.8

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 20.5 shots has a model probability of 90.8%, high confidence and a sample of 43 matches per team.

League average — shots: 25.76 (Weighted average using only matches played before the fixture.) Home/away strength: 9.45 × 18.34 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1490 × 1641 (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

62.5%

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

Model factors

  • League average — goals: 2.77

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.08 × 2.37

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

  • Opponent strength: 1490 × 1641

    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: 60.1

    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: 1.19 × 2.16

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

  • Model expected goals: 1.11 × 2.31

    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: 0

    Agreement between the parametric model and the smoothed empirical frequency.

Draw

19.7%

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

Model factors

  • League average — goals: 2.77

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.08 × 2.37

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

  • Opponent strength: 1490 × 1641

    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: 60.1

    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: 1.19 × 2.16

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

  • Model expected goals: 1.11 × 2.31

    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: 88.9

    Agreement between the parametric model and the smoothed empirical frequency.

Home win

17.8%

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

Model factors

  • League average — goals: 2.77

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.08 × 2.37

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

  • Opponent strength: 1490 × 1641

    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: 60.1

    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: 1.19 × 2.16

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

  • Model expected goals: 1.11 × 2.31

    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: 1.4

    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, Newcastle recorded 2 wins, 2 draws and 1 defeat and averaged 1.80 goals scored per match. Manchester City's 5-match sample contains 5 wins, 0 draws and 0 defeats, with 2.60 goals scored per match.

The venue split shows Newcastle at home with 1 win, 2 draws and 0 defeats in 3 matches, averaging 2.00 goals scored and 1.67 goals conceded. Away from home, Manchester City has 2 wins, 0 draws and 0 defeats in 2 matches, with 2.50 goals scored and 0.50 goals conceded.

Both teams scored in 4 of 5 matches (80%) of Newcastle's sample and 3 of 5 matches (60%) of Manchester City's. Over 2.5 goals occurred in 4 of 5 matches (80%) and 3 of 5 matches (60%), respectively.

Shot volume separates the sides at 10.20 per match for Newcastle and 13.60 for Manchester City. On target, the averages are 3.60 and 5.40, 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

Newcastle

5 matches
WLDWD
W
2
D
2
L
1
GF
9
GA
9

Last 5

Manchester City

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

Last 5

Newcastle

5 matches
WLDWD
W
2
D
2
L
1
GF
9
GA
9

Last 5

Manchester City

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

Last 5

Newcastle

5 matches
WLDWD
W
2
D
2
L
1
GF
9
GA
9

Last 5

Manchester City

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

Season

Newcastle

5 matches
WLDWD
W
2
D
2
L
1
GF
9
GA
9

Season

Manchester City

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

Goals

Frequencies across the last 10

Average goals scored

Newcastle

1.80 · 5 matches

Manchester City

2.60 · 5 matches

Average goals conceded

Newcastle

1.80 · 5 matches

Manchester City

1.00 · 5 matches

Over 0.5

Newcastle

100% · 5 of 5 matches

Manchester City

100% · 5 of 5 matches

Over 1.5

Newcastle

100% · 5 of 5 matches

Manchester City

60% · 3 of 5 matches

Over 2.5

Newcastle

80% · 4 of 5 matches

Manchester City

60% · 3 of 5 matches

Over 3.5

Newcastle

60% · 3 of 5 matches

Manchester City

40% · 2 of 5 matches

Both teams scored

Newcastle

80% · 4 of 5 matches

Manchester City

60% · 3 of 5 matches

Clean sheet

Newcastle

20% · 1 of 5 matches

Manchester City

40% · 2 of 5 matches

Failed to score

Newcastle

0% · 0 of 5 matches

Manchester City

0% · 0 of 5 matches

Corners

Volume and observed lines

Average for

Newcastle

4.40 · 5 matches

Manchester City

6.20 · 5 matches

Average against

Newcastle

6.00 · 5 matches

Manchester City

4.20 · 5 matches

Total average

Newcastle

10.40 · 5 matches

Manchester City

10.40 · 5 matches

Over 7.5

Newcastle

80% · 4 of 5 matches

Manchester City

100% · 5 of 5 matches

Over 8.5

Newcastle

60% · 3 of 5 matches

Manchester City

80% · 4 of 5 matches

Over 9.5

Newcastle

60% · 3 of 5 matches

Manchester City

60% · 3 of 5 matches

Over 10.5

Newcastle

40% · 2 of 5 matches

Manchester City

60% · 3 of 5 matches

Over 11.5

Newcastle

20% · 1 of 5 matches

Manchester City

20% · 1 of 5 matches

Cards

Averages and frequencies

Team average

Newcastle

2.40 · 5 matches

Manchester City

1.40 · 5 matches

Opponent average

Newcastle

2.40 · 5 matches

Manchester City

1.40 · 5 matches

Total average

Newcastle

4.80 · 5 matches

Manchester City

2.80 · 5 matches

Over 2.5

Newcastle

100% · 5 of 5 matches

Manchester City

80% · 4 of 5 matches

Over 3.5

Newcastle

60% · 3 of 5 matches

Manchester City

20% · 1 of 5 matches

Over 4.5

Newcastle

60% · 3 of 5 matches

Manchester City

0% · 0 of 5 matches

Over 5.5

Newcastle

20% · 1 of 5 matches

Manchester City

0% · 0 of 5 matches

Fouls

Match intensity

Committed average

Newcastle

12.20 · 5 matches

Manchester City

10.60 · 5 matches

Opponent average

Newcastle

13.00 · 5 matches

Manchester City

13.40 · 5 matches

Total average

Newcastle

25.20 · 5 matches

Manchester City

24.00 · 5 matches

Shots

Production and concessions

Average shots

Newcastle

10.20 · 5 matches

Manchester City

13.60 · 5 matches

Average shots on target

Newcastle

3.60 · 5 matches

Manchester City

5.40 · 5 matches

Average shots conceded

Newcastle

19.40 · 5 matches

Manchester City

11.80 · 5 matches

Average shots on target conceded

Newcastle

5.60 · 5 matches

Manchester City

4.00 · 5 matches

Average xG

Newcastle

1.17 · 2 matches

Manchester City

2.23 · 2 matches

Average xG against

Newcastle

2.01 · 2 matches

Manchester City

0.66 · 2 matches

Home vs away

Newcastle at home × Manchester City away

Newcastle at home

Newcastle

3 matches
WDD
W
1
D
2
L
0
GF
6
GA
5

Manchester City away

Manchester City

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

Newcastle at home

2.00 · 3 matches

Manchester City away

2.50 · 2 matches

Average goals conceded

Newcastle at home

1.67 · 3 matches

Manchester City away

0.50 · 2 matches

Over 0.5

Newcastle at home

100% · 3 of 3 matches

Manchester City away

100% · 2 of 2 matches

Over 1.5

Newcastle at home

100% · 3 of 3 matches

Manchester City away

50% · 1 of 2 matches

Over 2.5

Newcastle at home

100% · 3 of 3 matches

Manchester City away

50% · 1 of 2 matches

Over 3.5

Newcastle at home

67% · 2 of 3 matches

Manchester City away

50% · 1 of 2 matches

Both teams scored

Newcastle at home

100% · 3 of 3 matches

Manchester City away

50% · 1 of 2 matches

Clean sheet

Newcastle at home

0% · 0 of 3 matches

Manchester City away

50% · 1 of 2 matches

Failed to score

Newcastle at home

0% · 0 of 3 matches

Manchester City away

0% · 0 of 2 matches

Total corner average

Newcastle at home

8.67 · 3 matches

Manchester City away

10.50 · 2 matches

Over 8.5 corners

Newcastle at home

33% · 1 of 3 matches

Manchester City away

50% · 1 of 2 matches

Total card average

Newcastle at home

6.00 · 3 matches

Manchester City away

3.50 · 2 matches

Players and goalkeepers

Pre-match highlights

Newcastle

H. Barnes

Midfielder

6.88

5 matches · 453 min

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

L. Hall

Centre-back

7.37

5 matches · 455 min

1 goals · 1 assists · 2 of 5 shots on target

A. Elanga

Forward

7.30

3 matches · 236 min

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

J. Willock

Midfielder

6.87

5 matches · 288 min

2 goals · 0 assists · 3 of 10 shots on target

Y. Wissa

Forward

6.71

5 matches · 441 min

1 goals · 1 assists · 3 of 9 shots on target

L. Horníček

Goalkeeper

6.81

5 matches · 455 min

19 saves · 2 goals conceded

N. Pope

Goalkeeper

0.00

3 matches · 0 min

0 saves · 0 goals conceded

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

H2H

Recent meetings

Insufficient data

Combined view

Data convergences

  • 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.