RadarOnze

Nottingham Forest vs Manchester United: statistics and analysis

PREMIER LEAGUE 2026/27 · PRE-MATCH ANALYSIS

Round 26

· LONDON TIME · City Ground · 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

81.2%

high
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: 1.01 × 1.59

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

  • Opponent strength: 1472 × 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: 60.3

    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.

  • Expected Goals: 1.15 × 1.75

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

  • Model expected goals: 1.05 × 1.63

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

  • Signal consensus: 90.5

    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 81.2%, high 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: 1.01 × 1.59 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1472 × 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

27.5%

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

Model factors

  • League average — metric: 3.92

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.74 × 1.71

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

  • Opponent strength: 1472 × 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: 42 / 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: 3.45

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

  • Signal consensus: 86

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 4.5 yellow cards has a model probability of 27.5%, high confidence and a sample of 42 matches per team.

League average — metric: 3.92 (Weighted average using only matches played before the fixture.) Home/away strength: 1.74 × 1.71 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1472 × 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

50.1%

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: 1.01 × 1.59

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

  • Opponent strength: 1472 × 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: 60.3

    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.

  • Expected Goals: 1.15 × 1.75

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

  • Model expected goals: 1.05 × 1.63

    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: 43.8

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance 1X has a model probability of 50.1%, 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: 1.01 × 1.59 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1472 × 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

75.0%

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: 1.01 × 1.59

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

  • Opponent strength: 1472 × 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: 60.3

    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.

  • Expected Goals: 1.15 × 1.75

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

  • Model expected goals: 1.05 × 1.63

    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: 59.7

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance X2 has a model probability of 75.0%, 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: 1.01 × 1.59 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1472 × 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

92.0%

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

Model factors

  • League average — shots: 25.57

    Weighted average using only matches played before the fixture.

  • Home/away strength: 11.58 × 16.67

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

  • Opponent strength: 1472 × 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: 85.2

    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: 28.25

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

  • Signal consensus: 82.6

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 20.5 shots has a model probability of 92.0%, high confidence and a sample of 43 matches per team.

League average — shots: 25.57 (Weighted average using only matches played before the fixture.) Home/away strength: 11.58 × 16.67 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1472 × 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

49.9%

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: 1.01 × 1.59

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

  • Opponent strength: 1472 × 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: 60.3

    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.

  • Expected Goals: 1.15 × 1.75

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

  • Model expected goals: 1.05 × 1.63

    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: 43.8

    Agreement between the parametric model and the smoothed empirical frequency.

Draw

25.2%

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: 1.01 × 1.59

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

  • Opponent strength: 1472 × 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: 60.3

    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.

  • Expected Goals: 1.15 × 1.75

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

  • Model expected goals: 1.05 × 1.63

    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: 83.9

    Agreement between the parametric model and the smoothed empirical frequency.

Home win

25.0%

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: 1.01 × 1.59

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

  • Opponent strength: 1472 × 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: 60.3

    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.

  • Expected Goals: 1.15 × 1.75

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

  • Model expected goals: 1.05 × 1.63

    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: 59.7

    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 5 recent matches, Nottingham Forest recorded 1 win, 2 draws and 2 defeats and averaged 0.80 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 Nottingham Forest at home with 0 wins, 1 draw and 2 defeats in 3 matches, averaging 0.00 goals scored and 0.67 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 2 of 5 matches (40%) of Nottingham Forest's sample and 3 of 5 matches (60%) of Manchester United's. Over 2.5 goals occurred in 2 of 5 matches (40%) and 2 of 5 matches (40%), respectively.

Shot volume separates the sides at 16.40 per match for Nottingham Forest and 22.60 for Manchester United. On target, the averages are 3.40 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

Nottingham Forest

5 matches
LWDDL
W
1
D
2
L
2
GF
4
GA
5

Last 5

Manchester United

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

Last 5

Nottingham Forest

5 matches
LWDDL
W
1
D
2
L
2
GF
4
GA
5

Last 5

Manchester United

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

Last 5

Nottingham Forest

5 matches
LWDDL
W
1
D
2
L
2
GF
4
GA
5

Last 5

Manchester United

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

Season

Nottingham Forest

5 matches
LWDDL
W
1
D
2
L
2
GF
4
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

Nottingham Forest

0.80 · 5 matches

Manchester United

1.60 · 5 matches

Average goals conceded

Nottingham Forest

1.00 · 5 matches

Manchester United

1.60 · 5 matches

Over 0.5

Nottingham Forest

80% · 4 of 5 matches

Manchester United

100% · 5 of 5 matches

Over 1.5

Nottingham Forest

40% · 2 of 5 matches

Manchester United

80% · 4 of 5 matches

Over 2.5

Nottingham Forest

40% · 2 of 5 matches

Manchester United

40% · 2 of 5 matches

Over 3.5

Nottingham Forest

20% · 1 of 5 matches

Manchester United

40% · 2 of 5 matches

Both teams scored

Nottingham Forest

40% · 2 of 5 matches

Manchester United

60% · 3 of 5 matches

Clean sheet

Nottingham Forest

20% · 1 of 5 matches

Manchester United

0% · 0 of 5 matches

Failed to score

Nottingham Forest

60% · 3 of 5 matches

Manchester United

40% · 2 of 5 matches

Corners

Volume and observed lines

Average for

Nottingham Forest

3.40 · 5 matches

Manchester United

7.20 · 5 matches

Average against

Nottingham Forest

4.60 · 5 matches

Manchester United

3.80 · 5 matches

Total average

Nottingham Forest

8.00 · 5 matches

Manchester United

11.00 · 5 matches

Over 7.5

Nottingham Forest

60% · 3 of 5 matches

Manchester United

60% · 3 of 5 matches

Over 8.5

Nottingham Forest

20% · 1 of 5 matches

Manchester United

60% · 3 of 5 matches

Over 9.5

Nottingham Forest

20% · 1 of 5 matches

Manchester United

60% · 3 of 5 matches

Over 10.5

Nottingham Forest

20% · 1 of 5 matches

Manchester United

60% · 3 of 5 matches

Over 11.5

Nottingham Forest

20% · 1 of 5 matches

Manchester United

60% · 3 of 5 matches

Cards

Averages and frequencies

Team average

Nottingham Forest

2.60 · 5 matches

Manchester United

1.20 · 5 matches

Opponent average

Nottingham Forest

1.80 · 5 matches

Manchester United

2.80 · 5 matches

Total average

Nottingham Forest

4.40 · 5 matches

Manchester United

4.00 · 5 matches

Over 2.5

Nottingham Forest

80% · 4 of 5 matches

Manchester United

100% · 5 of 5 matches

Over 3.5

Nottingham Forest

60% · 3 of 5 matches

Manchester United

60% · 3 of 5 matches

Over 4.5

Nottingham Forest

40% · 2 of 5 matches

Manchester United

20% · 1 of 5 matches

Over 5.5

Nottingham Forest

40% · 2 of 5 matches

Manchester United

20% · 1 of 5 matches

Fouls

Match intensity

Committed average

Nottingham Forest

15.00 · 5 matches

Manchester United

9.80 · 5 matches

Opponent average

Nottingham Forest

12.20 · 5 matches

Manchester United

9.60 · 5 matches

Total average

Nottingham Forest

27.20 · 5 matches

Manchester United

19.40 · 5 matches

Shots

Production and concessions

Average shots

Nottingham Forest

16.40 · 5 matches

Manchester United

22.60 · 5 matches

Average shots on target

Nottingham Forest

3.40 · 5 matches

Manchester United

5.80 · 5 matches

Average shots conceded

Nottingham Forest

10.60 · 5 matches

Manchester United

10.60 · 5 matches

Average shots on target conceded

Nottingham Forest

3.00 · 5 matches

Manchester United

4.60 · 5 matches

Average xG

Nottingham Forest

1.48 · 2 matches

Manchester United

3.20 · 2 matches

Average xG against

Nottingham Forest

1.04 · 2 matches

Manchester United

1.51 · 2 matches

Home vs away

Nottingham Forest at home × Manchester United away

Nottingham Forest at home

Nottingham Forest

3 matches
LDL
W
0
D
1
L
2
GF
0
GA
2

Manchester United away

Manchester United

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

Nottingham Forest at home

0.00 · 3 matches

Manchester United away

1.00 · 3 matches

Average goals conceded

Nottingham Forest at home

0.67 · 3 matches

Manchester United away

1.67 · 3 matches

Over 0.5

Nottingham Forest at home

67% · 2 of 3 matches

Manchester United away

100% · 3 of 3 matches

Over 1.5

Nottingham Forest at home

0% · 0 of 3 matches

Manchester United away

100% · 3 of 3 matches

Over 2.5

Nottingham Forest at home

0% · 0 of 3 matches

Manchester United away

33% · 1 of 3 matches

Over 3.5

Nottingham Forest at home

0% · 0 of 3 matches

Manchester United away

33% · 1 of 3 matches

Both teams scored

Nottingham Forest at home

0% · 0 of 3 matches

Manchester United away

67% · 2 of 3 matches

Clean sheet

Nottingham Forest at home

33% · 1 of 3 matches

Manchester United away

0% · 0 of 3 matches

Failed to score

Nottingham Forest at home

100% · 3 of 3 matches

Manchester United away

33% · 1 of 3 matches

Total corner average

Nottingham Forest at home

8.33 · 3 matches

Manchester United away

10.00 · 3 matches

Over 8.5 corners

Nottingham Forest at home

33% · 1 of 3 matches

Manchester United away

33% · 1 of 3 matches

Total card average

Nottingham Forest at home

3.00 · 3 matches

Manchester United away

4.00 · 3 matches

Players and goalkeepers

Pre-match highlights

Nottingham Forest

M. Gibbs-White

Midfielder

7.15

5 matches · 450 min

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

Murillo

Centre-back

6.94

5 matches · 448 min

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

L. Delap

Forward

6.78

4 matches · 277 min

1 goals · 0 assists · 1 of 11 shots on target

Igor Jesus

Forward

6.77

5 matches · 256 min

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

D. Ndoye

Midfielder

6.67

5 matches · 321 min

1 goals · 0 assists · 2 of 11 shots on target

M. Sels

Goalkeeper

6.66

5 matches · 450 min

11 saves · 3 goals conceded

John

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

Insufficient data

Combined view

Data convergences

No strong convergence was identified from the available samples.

Descriptive analysis based exclusively on available frequencies.