RadarOnze

Bournemouth vs Nottingham Forest: statistics and analysis

PREMIER LEAGUE 2026/27 · PRE-MATCH ANALYSIS

Round 11

· LONDON TIME · Vitality 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

70.0%

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: 1.38 × 1.33

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

  • Opponent strength: 1528 × 1472

    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: 59.9

    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: 1.72 × 1.21

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

  • Model expected goals: 1.48 × 1.29

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

  • Signal consensus: 65.4

    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 70.0%, 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: 1.38 × 1.33 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1528 × 1472 (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

42.9%

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

Model factors

  • League average — metric: 3.9

    Weighted average using only matches played before the fixture.

  • Home/away strength: 2.64 × 1.75

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

  • Opponent strength: 1528 × 1472

    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: 43 / 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: 4.39

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

  • Signal consensus: 77.2

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 4.5 yellow cards has a model probability of 42.9%, medium confidence and a sample of 42 matches per team.

League average — metric: 3.9 (Weighted average using only matches played before the fixture.) Home/away strength: 2.64 × 1.75 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1528 × 1472 (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

66.8%

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: 1.38 × 1.33

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

  • Opponent strength: 1528 × 1472

    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: 59.9

    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: 1.72 × 1.21

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

  • Model expected goals: 1.48 × 1.29

    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: 97.6

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance 1X has a model probability of 66.8%, 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: 1.38 × 1.33 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1528 × 1472 (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

59.0%

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: 1.38 × 1.33

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

  • Opponent strength: 1528 × 1472

    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: 59.9

    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: 1.72 × 1.21

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

  • Model expected goals: 1.48 × 1.29

    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: 61.5

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance X2 has a model probability of 59.0%, 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: 1.38 × 1.33 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1528 × 1472 (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

84.0%

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

Model factors

  • League average — shots: 25.88

    Weighted average using only matches played before the fixture.

  • Home/away strength: 14.35 × 11.12

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

  • Opponent strength: 1528 × 1472

    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: 25.48

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

  • Signal consensus: 97

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 20.5 shots has a model probability of 84.0%, high confidence and a sample of 43 matches per team.

League average — shots: 25.88 (Weighted average using only matches played before the fixture.) Home/away strength: 14.35 × 11.12 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1528 × 1472 (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

33.2%

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: 1.38 × 1.33

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

  • Opponent strength: 1528 × 1472

    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: 59.9

    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: 1.72 × 1.21

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

  • Model expected goals: 1.48 × 1.29

    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: 97.6

    Agreement between the parametric model and the smoothed empirical frequency.

Draw

25.8%

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: 1.38 × 1.33

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

  • Opponent strength: 1528 × 1472

    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: 59.9

    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: 1.72 × 1.21

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

  • Model expected goals: 1.48 × 1.29

    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: 58.9

    Agreement between the parametric model and the smoothed empirical frequency.

Home win

41.0%

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: 1.38 × 1.33

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

  • Opponent strength: 1528 × 1472

    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: 59.9

    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: 1.72 × 1.21

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

  • Model expected goals: 1.48 × 1.29

    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: 61.5

    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, Bournemouth recorded 0 wins, 3 draws and 2 defeats and averaged 1.20 goals scored per match. Nottingham Forest's 5-match sample contains 1 win, 2 draws and 2 defeats, with 0.80 goals scored per match.

The venue split shows Bournemouth at home with 0 wins, 2 draws and 1 defeat in 3 matches, averaging 1.00 goal scored and 1.33 goals conceded. Away from home, Nottingham Forest has 1 win, 1 draw and 0 defeats in 2 matches, with 2.00 goals scored and 1.50 goals conceded.

Both teams scored in 4 of 5 matches (80%) of Bournemouth's sample and 2 of 5 matches (40%) of Nottingham Forest'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 Bournemouth and 16.40 for Nottingham Forest. On target, the averages are 5.20 and 3.40, 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

Bournemouth

5 matches
LDDDL
W
0
D
3
L
2
GF
6
GA
8

Last 5

Nottingham Forest

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

Last 5

Bournemouth

5 matches
LDDDL
W
0
D
3
L
2
GF
6
GA
8

Last 5

Nottingham Forest

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

Last 5

Bournemouth

5 matches
LDDDL
W
0
D
3
L
2
GF
6
GA
8

Last 5

Nottingham Forest

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

Season

Bournemouth

5 matches
LDDDL
W
0
D
3
L
2
GF
6
GA
8

Season

Nottingham Forest

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

Goals

Frequencies across the last 10

Average goals scored

Bournemouth

1.20 · 5 matches

Nottingham Forest

0.80 · 5 matches

Average goals conceded

Bournemouth

1.60 · 5 matches

Nottingham Forest

1.00 · 5 matches

Over 0.5

Bournemouth

100% · 5 of 5 matches

Nottingham Forest

80% · 4 of 5 matches

Over 1.5

Bournemouth

80% · 4 of 5 matches

Nottingham Forest

40% · 2 of 5 matches

Over 2.5

Bournemouth

60% · 3 of 5 matches

Nottingham Forest

40% · 2 of 5 matches

Over 3.5

Bournemouth

40% · 2 of 5 matches

Nottingham Forest

20% · 1 of 5 matches

Both teams scored

Bournemouth

80% · 4 of 5 matches

Nottingham Forest

40% · 2 of 5 matches

Clean sheet

Bournemouth

0% · 0 of 5 matches

Nottingham Forest

20% · 1 of 5 matches

Failed to score

Bournemouth

20% · 1 of 5 matches

Nottingham Forest

60% · 3 of 5 matches

Corners

Volume and observed lines

Average for

Bournemouth

4.20 · 5 matches

Nottingham Forest

3.40 · 5 matches

Average against

Bournemouth

4.60 · 5 matches

Nottingham Forest

4.60 · 5 matches

Total average

Bournemouth

8.80 · 5 matches

Nottingham Forest

8.00 · 5 matches

Over 7.5

Bournemouth

40% · 2 of 5 matches

Nottingham Forest

60% · 3 of 5 matches

Over 8.5

Bournemouth

40% · 2 of 5 matches

Nottingham Forest

20% · 1 of 5 matches

Over 9.5

Bournemouth

40% · 2 of 5 matches

Nottingham Forest

20% · 1 of 5 matches

Over 10.5

Bournemouth

40% · 2 of 5 matches

Nottingham Forest

20% · 1 of 5 matches

Over 11.5

Bournemouth

20% · 1 of 5 matches

Nottingham Forest

20% · 1 of 5 matches

Cards

Averages and frequencies

Team average

Bournemouth

2.80 · 5 matches

Nottingham Forest

2.60 · 5 matches

Opponent average

Bournemouth

1.60 · 5 matches

Nottingham Forest

1.80 · 5 matches

Total average

Bournemouth

4.40 · 5 matches

Nottingham Forest

4.40 · 5 matches

Over 2.5

Bournemouth

100% · 5 of 5 matches

Nottingham Forest

80% · 4 of 5 matches

Over 3.5

Bournemouth

60% · 3 of 5 matches

Nottingham Forest

60% · 3 of 5 matches

Over 4.5

Bournemouth

60% · 3 of 5 matches

Nottingham Forest

40% · 2 of 5 matches

Over 5.5

Bournemouth

20% · 1 of 5 matches

Nottingham Forest

40% · 2 of 5 matches

Fouls

Match intensity

Committed average

Bournemouth

12.00 · 5 matches

Nottingham Forest

15.00 · 5 matches

Opponent average

Bournemouth

14.00 · 5 matches

Nottingham Forest

12.20 · 5 matches

Total average

Bournemouth

26.00 · 5 matches

Nottingham Forest

27.20 · 5 matches

Shots

Production and concessions

Average shots

Bournemouth

13.60 · 5 matches

Nottingham Forest

16.40 · 5 matches

Average shots on target

Bournemouth

5.20 · 5 matches

Nottingham Forest

3.40 · 5 matches

Average shots conceded

Bournemouth

10.80 · 5 matches

Nottingham Forest

10.60 · 5 matches

Average shots on target conceded

Bournemouth

4.00 · 5 matches

Nottingham Forest

3.00 · 5 matches

Average xG

Bournemouth

1.41 · 2 matches

Nottingham Forest

1.48 · 2 matches

Average xG against

Bournemouth

2.05 · 2 matches

Nottingham Forest

1.04 · 2 matches

Home vs away

Bournemouth at home × Nottingham Forest away

Bournemouth at home

Bournemouth

3 matches
LDD
W
0
D
2
L
1
GF
3
GA
4

Nottingham Forest away

Nottingham Forest

2 matches
WD
W
1
D
1
L
0
GF
4
GA
3
Average goals scored

Bournemouth at home

1.00 · 3 matches

Nottingham Forest away

2.00 · 2 matches

Average goals conceded

Bournemouth at home

1.33 · 3 matches

Nottingham Forest away

1.50 · 2 matches

Over 0.5

Bournemouth at home

100% · 3 of 3 matches

Nottingham Forest away

100% · 2 of 2 matches

Over 1.5

Bournemouth at home

67% · 2 of 3 matches

Nottingham Forest away

100% · 2 of 2 matches

Over 2.5

Bournemouth at home

33% · 1 of 3 matches

Nottingham Forest away

100% · 2 of 2 matches

Over 3.5

Bournemouth at home

33% · 1 of 3 matches

Nottingham Forest away

50% · 1 of 2 matches

Both teams scored

Bournemouth at home

67% · 2 of 3 matches

Nottingham Forest away

100% · 2 of 2 matches

Clean sheet

Bournemouth at home

0% · 0 of 3 matches

Nottingham Forest away

0% · 0 of 2 matches

Failed to score

Bournemouth at home

33% · 1 of 3 matches

Nottingham Forest away

0% · 0 of 2 matches

Total corner average

Bournemouth at home

8.67 · 3 matches

Nottingham Forest away

7.50 · 2 matches

Over 8.5 corners

Bournemouth at home

33% · 1 of 3 matches

Nottingham Forest away

0% · 0 of 2 matches

Total card average

Bournemouth at home

4.67 · 3 matches

Nottingham Forest away

6.50 · 2 matches

Players and goalkeepers

Pre-match highlights

Bournemouth

M. Tavernier

Midfielder

7.52

5 matches · 427 min

3 goals · 0 assists · 8 of 12 shots on target

Evanilson

Forward

6.72

5 matches · 425 min

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

J. Kluivert

Forward

6.92

4 matches · 298 min

1 goals · 0 assists · 6 of 9 shots on target

A. Scott

Midfielder

6.91

5 matches · 453 min

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

A. Truffert

Centre-back

6.79

5 matches · 450 min

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

Đ. Petrović

Goalkeeper

6.66

5 matches · 450 min

11 saves · 3 goals conceded

M. Di Gregorio

Goalkeeper

0.00

3 matches · 0 min

0 saves · 0 goals conceded

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

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.