RadarOnze
PTEN
≡

Tottenham vs Chelsea: statistics and analysis

PREMIER LEAGUE 2026/27 · PRE-MATCH ANALYSIS

Round 35

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

Tottenham

Tottenham

20 · 2 pts · 5 P · 0 W · 2 D · 3 L · GD -6

VSChelsea

Chelsea

10 · 7 pts · 5 P · 2 W · 1 D · 2 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

83.0%

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: 1.19 × 1.82

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

  • Opponent strength: 1424 × 1490

    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: 60.8

    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: 1.10 × 1.77

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

  • Model expected goals: 1.16 × 1.81

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

  • Signal consensus: 92

    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 83.0%, 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: 1.19 × 1.82 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1424 × 1490 (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

54.2%

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

Model factors

  • League average — metric: 3.93

    Weighted average using only matches played before the fixture.

  • Home/away strength: 2.46 × 2.51

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

  • Opponent strength: 1424 × 1490

    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 / 43

    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: 4.98

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

  • Signal consensus: 81.6

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 4.5 yellow cards has a model probability of 54.2%, high confidence and a sample of 41 matches per team.

League average — metric: 3.93 (Weighted average using only matches played before the fixture.) Home/away strength: 2.46 × 2.51 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1424 × 1490 (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

48.7%

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: 1.19 × 1.82

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

  • Opponent strength: 1424 × 1490

    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: 60.8

    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: 1.10 × 1.77

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

  • Model expected goals: 1.16 × 1.81

    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: 49.9

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance 1X has a model probability of 48.7%, 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: 1.19 × 1.82 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1424 × 1490 (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: 1.19 × 1.82

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

  • Opponent strength: 1424 × 1490

    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: 60.8

    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: 1.10 × 1.77

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

  • Model expected goals: 1.16 × 1.81

    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: 65.6

    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: 1.19 × 1.82 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1424 × 1490 (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

80.8%

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

Model factors

  • League average — shots: 25.39

    Weighted average using only matches played before the fixture.

  • Home/away strength: 10.87 × 13.88

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

  • Opponent strength: 1424 × 1490

    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: 24.75

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

  • Signal consensus: 90.4

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 20.5 shots has a model probability of 80.8%, high confidence and a sample of 43 matches per team.

League average — shots: 25.39 (Weighted average using only matches played before the fixture.) Home/away strength: 10.87 × 13.88 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1424 × 1490 (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

51.3%

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: 1.19 × 1.82

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

  • Opponent strength: 1424 × 1490

    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: 60.8

    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: 1.10 × 1.77

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

  • Model expected goals: 1.16 × 1.81

    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: 49.9

    Agreement between the parametric model and the smoothed empirical frequency.

Draw

23.7%

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: 1.19 × 1.82

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

  • Opponent strength: 1424 × 1490

    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: 60.8

    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: 1.10 × 1.77

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

  • Model expected goals: 1.16 × 1.81

    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: 84

    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: 1.19 × 1.82

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

  • Opponent strength: 1424 × 1490

    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: 60.8

    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: 1.10 × 1.77

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

  • Model expected goals: 1.16 × 1.81

    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: 65.6

    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, Tottenham recorded 0 wins, 2 draws and 3 defeats and averaged 0.40 goals scored per match. Chelsea's 5-match sample contains 2 wins, 1 draw and 2 defeats, with 2.00 goals scored per match.

The venue split shows Tottenham at home with 0 wins, 1 draw and 2 defeats in 3 matches, averaging 0.67 goals scored and 1.67 goals conceded. Away from home, Chelsea has 1 win, 0 draws and 2 defeats in 3 matches, with 1.33 goals scored and 2.33 goals conceded.

Both teams scored in 1 of 5 matches (20%) of Tottenham's sample and 4 of 5 matches (80%) of Chelsea's. Over 2.5 goals occurred in 2 of 5 matches (40%) and 5 of 5 matches (100%), respectively.

Shot volume separates the sides at 14.40 per match for Tottenham and 14.40 for Chelsea. On target, the averages are 3.80 and 5.20, 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

Tottenham

5 matches
LDDLL
W
0
D
2
L
3
GF
2
GA
8

Last 5

Chelsea

5 matches
LDLWW
W
2
D
1
L
2
GF
10
GA
12

Last 5

Tottenham

5 matches
LDDLL
W
0
D
2
L
3
GF
2
GA
8

Last 5

Chelsea

5 matches
LDLWW
W
2
D
1
L
2
GF
10
GA
12

Last 5

Tottenham

5 matches
LDDLL
W
0
D
2
L
3
GF
2
GA
8

Last 5

Chelsea

5 matches
LDLWW
W
2
D
1
L
2
GF
10
GA
12

Season

Tottenham

5 matches
LDDLL
W
0
D
2
L
3
GF
2
GA
8

Season

Chelsea

5 matches
LDLWW
W
2
D
1
L
2
GF
10
GA
12

Goals

Frequencies across the last 10

Average goals scored

Tottenham

0.40 · 5 matches

Chelsea

2.00 · 5 matches

Average goals conceded

Tottenham

1.60 · 5 matches

Chelsea

2.40 · 5 matches

Over 0.5

Tottenham

60% · 3 of 5 matches

Chelsea

100% · 5 of 5 matches

Over 1.5

Tottenham

60% · 3 of 5 matches

Chelsea

100% · 5 of 5 matches

Over 2.5

Tottenham

40% · 2 of 5 matches

Chelsea

100% · 5 of 5 matches

Over 3.5

Tottenham

20% · 1 of 5 matches

Chelsea

60% · 3 of 5 matches

Both teams scored

Tottenham

20% · 1 of 5 matches

Chelsea

80% · 4 of 5 matches

Clean sheet

Tottenham

40% · 2 of 5 matches

Chelsea

0% · 0 of 5 matches

Failed to score

Tottenham

80% · 4 of 5 matches

Chelsea

20% · 1 of 5 matches

Corners

Volume and observed lines

Average for

Tottenham

7.60 · 5 matches

Chelsea

6.80 · 5 matches

Average against

Tottenham

4.60 · 5 matches

Chelsea

5.20 · 5 matches

Total average

Tottenham

12.20 · 5 matches

Chelsea

12.00 · 5 matches

Over 7.5

Tottenham

100% · 5 of 5 matches

Chelsea

100% · 5 of 5 matches

Over 8.5

Tottenham

100% · 5 of 5 matches

Chelsea

80% · 4 of 5 matches

Over 9.5

Tottenham

100% · 5 of 5 matches

Chelsea

80% · 4 of 5 matches

Over 10.5

Tottenham

80% · 4 of 5 matches

Chelsea

60% · 3 of 5 matches

Over 11.5

Tottenham

60% · 3 of 5 matches

Chelsea

40% · 2 of 5 matches

Cards

Averages and frequencies

Team average

Tottenham

1.00 · 5 matches

Chelsea

1.80 · 5 matches

Opponent average

Tottenham

1.80 · 5 matches

Chelsea

2.80 · 5 matches

Total average

Tottenham

2.80 · 5 matches

Chelsea

4.60 · 5 matches

Over 2.5

Tottenham

60% · 3 of 5 matches

Chelsea

80% · 4 of 5 matches

Over 3.5

Tottenham

20% · 1 of 5 matches

Chelsea

80% · 4 of 5 matches

Over 4.5

Tottenham

0% · 0 of 5 matches

Chelsea

60% · 3 of 5 matches

Over 5.5

Tottenham

0% · 0 of 5 matches

Chelsea

40% · 2 of 5 matches

Fouls

Match intensity

Committed average

Tottenham

13.00 · 5 matches

Chelsea

8.60 · 5 matches

Opponent average

Tottenham

13.80 · 5 matches

Chelsea

11.80 · 5 matches

Total average

Tottenham

26.80 · 5 matches

Chelsea

20.40 · 5 matches

Shots

Production and concessions

Average shots

Tottenham

14.40 · 5 matches

Chelsea

14.40 · 5 matches

Average shots on target

Tottenham

3.80 · 5 matches

Chelsea

5.20 · 5 matches

Average shots conceded

Tottenham

15.20 · 5 matches

Chelsea

14.40 · 5 matches

Average shots on target conceded

Tottenham

4.20 · 5 matches

Chelsea

6.40 · 5 matches

Average xG

Tottenham

0.80 · 2 matches

Chelsea

2.61 · 2 matches

Average xG against

Tottenham

2.31 · 2 matches

Chelsea

1.45 · 2 matches

Home vs away

Tottenham at home × Chelsea away

Tottenham at home

Tottenham

3 matches
LDL
W
0
D
1
L
2
GF
2
GA
5

Chelsea away

Chelsea

3 matches
LLW
W
1
D
0
L
2
GF
4
GA
7
Average goals scored

Tottenham at home

0.67 · 3 matches

Chelsea away

1.33 · 3 matches

Average goals conceded

Tottenham at home

1.67 · 3 matches

Chelsea away

2.33 · 3 matches

Over 0.5

Tottenham at home

67% · 2 of 3 matches

Chelsea away

100% · 3 of 3 matches

Over 1.5

Tottenham at home

67% · 2 of 3 matches

Chelsea away

100% · 3 of 3 matches

Over 2.5

Tottenham at home

33% · 1 of 3 matches

Chelsea away

100% · 3 of 3 matches

Over 3.5

Tottenham at home

33% · 1 of 3 matches

Chelsea away

33% · 1 of 3 matches

Both teams scored

Tottenham at home

33% · 1 of 3 matches

Chelsea away

67% · 2 of 3 matches

Clean sheet

Tottenham at home

33% · 1 of 3 matches

Chelsea away

0% · 0 of 3 matches

Failed to score

Tottenham at home

67% · 2 of 3 matches

Chelsea away

33% · 1 of 3 matches

Total corner average

Tottenham at home

13.00 · 3 matches

Chelsea away

11.33 · 3 matches

Over 8.5 corners

Tottenham at home

100% · 3 of 3 matches

Chelsea away

67% · 2 of 3 matches

Total card average

Tottenham at home

2.67 · 3 matches

Chelsea away

4.33 · 3 matches

Players and goalkeepers

Pre-match highlights

Tottenham

J. van Hecke

Centre-back

7.02

5 matches · 455 min

1 goals · 0 assists · 2 of 5 shots on target

A. Robertson

Centre-back

6.64

5 matches · 367 min

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

M. Kudus

Midfielder

6.64

4 matches · 128 min

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

C. Gallagher

Midfielder

4.90

4 matches · 134 min

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

Sávio

Forward

7.01

3 matches · 241 min

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

A. Kinský

Goalkeeper

6.43

5 matches · 455 min

12 saves · 5 goals conceded

M. Dúbravka

Goalkeeper

0.00

3 matches · 0 min

0 saves · 0 goals conceded

Chelsea

João Pedro

Forward

7.53

4 matches · 360 min

3 goals · 3 assists · 4 of 8 shots on target

M. Rogers

Midfielder

7.55

5 matches · 439 min

3 goals · 1 assists · 5 of 11 shots on target

C. Palmer

Midfielder

7.42

5 matches · 443 min

2 goals · 2 assists · 5 of 14 shots on target

J. Hato

Centre-back

5.26

5 matches · 260 min

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

Pedro Neto

Midfielder

6.88

5 matches · 336 min

1 goals · 0 assists · 4 of 7 shots on target

E. Martínez

Goalkeeper

6.72

4 matches · 360 min

18 saves · 3 goals conceded

M. Penders

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.