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Tottenham 4-1 Newcastle – Result & Analysis

🎯

Fixture360 only lists fixtures from a curated set of leagues, chosen specifically to keep our prediction model accurate.

Premier League · Regular Season - 16

Kick-off

Sun 10 Dec 2023

16:30

Venue

Tottenham Hotspur Stadium

Competition

Premier League

England

Status

FT
💬 Comment 📝 Notes
📋

Poisson rates Newcastle at 39% — recent form provides partial corroboration, though signals are mixed in this Tottenham vs Newcastle encounter.

✍️ Match Preview

Analysis & Preview

Newcastle travel to Tottenham Hotspur Stadium to take on Tottenham in Premier League (matchday 16). The game is scheduled for Sunday 10 December 2023 at 16:30 UK time.

Form Analysis

Looking at their last 10 matches, Tottenham stand at 4W 2D 4L — 1.40 PPG. Last five: L L L D L. Offensively they are averaging 1.60 goals per game, with 1.70 conceded. 2 clean sheets from 10 outings (20%). Both teams have scored in 80% of their matches — an extremely high rate that makes BTTS Yes a well-supported standalone angle from their form alone.

In front of their own supporters, Tottenham have posted 5W 1D 4L from their last 10 home games — 1.60 PPG. At home they are averaging 1.50 goals scored and 1.50 conceded per game. Both teams have scored in 70% of their home games — an outstanding BTTS rate that is a key data point for this fixture.

Across their last 10 games, Newcastle have recorded 6W 2D 2L — 2.00 PPG. Last five: W L W W L. Their attacking form is sharp — 2.40 goals per game is a high-output rate that commands respect in the goals markets. 5 clean sheets from 10 games (50%) is an exceptional defensive record — they are keeping clean sheets more often than not. Both teams have scored in just 30% of their games, reflecting a regular tendency to keep or record clean sheets.

Newcastle's form when playing away from home: 2W 4D 4L across their last 10 road games (1.00 PPG). They are averaging 2.00 goals per away game — strong road scoring that makes them a threat even without home support. BTTS has landed in 60% of their away games — meaningful support for the Yes angle in this specific context. Their away PPG of 1.00 is notably below their overall 2.00 — form away from home has been a clear weakness recently.

Form points away from home here. Newcastle's 2.00 PPG return is 0.60 points per game ahead of Tottenham's 1.40 — the visitors are the form-based selection, and Double Chance is an alternative worth pricing if the outright looks tight.

The BTTS market is worth targeting here. Both teams have scored in 70% of Tottenham's games and 60% of Newcastle's (from Tottenham's last 10 home games and Newcastle's last 10 away games) — both sides above the 60% threshold gives BTTS Yes firm statistical grounding.

H2H Record

There is little to separate the sides in our head-to-head data. From 3 H2H matches, Tottenham have won 1, Newcastle 2, with 0 draws — a balanced record that offers no clear steer on its own. With only 3 H2H matches to go on, treat this as a light input.

These two sides have produced goals at a healthy rate, averaging 5.3 per game across the 3 H2H matches we hold. That scoring profile supports the Over 2.5 angle. The most recent of those, on 23 Apr 2023, ended Tottenham 1–6 Newcastle — a Newcastle win.

With the win record balanced, the strongest H2H signal is in the goals market — at 5.3 goals per game, Over 2.5 is the cleaner angle from the head-to-head data.

In-Play Profile

Tottenham in-play tendencies (last 53 games, 26 of them at home): at least one goal arrives before half-time in 73% of their matches in home games; when goalless at HT, a second-half goal follows 100% of the time; two or more arrive in the second half on 77% of those occasions; of the 18 games they led at half-time, they failed to win 33%; of the 13 games they trailed at half-time, they recovered to draw or win 46%; BTTS occurs in 62% of their matches (home games); Over 2.5 goals lands in 62% of games (home games); Over 3.5 in 43%.

Newcastle in-play tendencies (last 53 games, 26 of them away): at least one goal arrives before half-time in 77% of their matches in away games; when goalless at HT, a second-half goal follows 59% of the time; of the 10 games they trailed at half-time, they recovered to draw or win 40%; BTTS occurs in 58% of their matches (away games); Over 2.5 goals lands in 62% of games (away games).

BTTS rates are mixed from the trading data — Tottenham 66% versus Newcastle 49%; no strong lean in either direction. The over/under 2.5 picture is inconclusive from the in-play data (Tottenham 64% | Newcastle 51%). There is an in-play dynamic worth noting: Tottenham surrender their half-time lead 33% of the time, while Newcastle have come from behind at the break to draw or win in 40% of cases — a combination that makes laying the hosts at HT a potential angle.

Poisson Model

The Poisson distribution model projects Tottenham 1.71 xG and Newcastle 1.72 xG. These expected goals figures are the primary input: they feed a goal-probability matrix across all scoreline combinations to derive the result and market probabilities below. Underlying strength ratings: Tottenham attack 0.872 / defence 1.146 | Newcastle attack 1.104 / defence 1.152. League average goals — home 1.704 / away 1.361. Data: built from Tottenham's last 53 games and Newcastle's last 53.

Result probabilities: Tottenham 38% | Draw 23% | Newcastle 39%. Fair-value odds: Tottenham 2.60 | Draw 4.44 | Newcastle 2.57. This is a low-confidence result — no outcome reaches 45%. The draw at 23% is a primary outcome, not an afterthought.

Goals markets: Over 2.5 probability 67% | BTTS Yes probability 67% | Total xG 3.44. Over 2.5 is the model's clear signal at 67% — a total xG of 3.44 means the expected score alone exceeds the 2.5 threshold, making the Over not just likely but structurally supported by both sides' attack/defence profiles. BTTS Yes at 67% — both xG figures (1.71 / 1.72) are high enough that each side is projected to find the net.

Summary & Verdict

The Poisson model's primary lean is Newcastle at 39% — marginal model lean. Recent form corroborates the Poisson lean — partial multi-source support. With a 23% draw probability, Draw No Bet on Newcastle offers a more defensible entry point than the straight win. The opposing side holds a 38% win probability per the model — this is not a banker and should be staked accordingly.

Poisson projects 3.44 total expected goals, pointing to Over 2.5 at 67% probability — strong conviction, supported by recent form (Tottenham's last 10 home games and Newcastle's last 10 away games) averaging 3.4 goals per game and the H2H data averaging 5.3 goals per game across 3 H2H matches.

The Poisson model's BTTS call is Yes at 67%. Form rates corroborate — both teams scored in: Tottenham 70% (last 10 home games) | Newcastle 60% (last 10 away games).

🔮 Your Prediction

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💡 Key Insights

H2H The H2H record is evenly balanced (Tottenham 1W, 0D, Newcastle 2W from the 3 H2H matches in our data), with no clear advantage.
Goals H2H (5.33 goals/game across 3 H2H matches) and Poisson xG (3.44) both back Over 2.5 goals (67% Poisson probability).
BTTS H2H BTTS 100% and Poisson BTTS Yes 67% — two-way scoring is backed by both the H2H data and the model.
Form Newcastle lead on PPG: 2.00 vs 1.40 — in-form visitors may prove difficult to contain.
Form Newcastle Poisson xG (1.72) is below their form scoring rate (2.00 over their last 10 away games) — against this opponent, the model expects less than their recent scoring rate.
BTTS BTTS Yes is supported by both form (Tottenham 7/10 home, Newcastle 6/10 away) and the Poisson model (BTTS Yes 67%).
Form Form and Poisson model both favour Newcastle — Newcastle at 39% win probability.
Goals Poisson Over 2.5 probability is 67% — the model favours goals in this fixture.
BTTS Poisson BTTS Yes probability is 67% — the model favours both teams scoring.

🏟️ Match Context

• Fixture: Tottenham vs Newcastle | Competition: Premier League, matchday 16 | Venue: Tottenham Hotspur Stadium • Kick-off: Sunday 10 December 2023 at 16:30 UK time • Data inputs: head-to-head data, recent form (overall and home/away), the Poisson prediction model and market pricing

📊 Statistical Prediction

• Poisson result probabilities: Tottenham 38% | Draw 23% | Newcastle 39% • Poisson goal markets: Over 2.5 67% (Under 33%) | BTTS Yes 67% (No 33%) | xG Tottenham 1.71 / Newcastle 1.72 • Poisson strength factors: Tottenham attack 0.872 / def 1.146 | Newcastle attack 1.104 / def 1.152 | league avg home 1.704 / away 1.361 • Poisson stance: Newcastle (39%) — low confidence — close contest

🧮 Prediction Model

1.71

Tottenham xG

Expected Goals

1.72

Newcastle xG

38%
23%
39%
Tottenham Draw Newcastle

67%

BTTS

86%

Over 1.5

67%

Over 2.5

45%

Over 3.5

Full score-by-score matrix & model internals in the "Full Poisson Detail" section below ↓

⚠️ This analysis is generated algorithmically from statistical data and is intended for informational purposes only. It does not constitute betting advice. Please gamble responsibly.

❓ Tottenham vs Newcastle FAQs

What time does Tottenham vs Newcastle kick off?

Tottenham vs Newcastle kicked off at 16:30 UK time on Sunday 10 December 2023 at Tottenham Hotspur Stadium.

What was the final score in Tottenham vs Newcastle?

Tottenham 4 - 1 Newcastle.

Where is Tottenham vs Newcastle being played?

The match is being played at Tottenham Hotspur Stadium.

What competition is Tottenham vs Newcastle part of?

Tottenham vs Newcastle is a Premier League fixture (matchday 16) (England).

Who is favourite to win Tottenham vs Newcastle?

Our statistical model gives Tottenham a 38% chance of winning, Newcastle a 39% chance, and a 23% chance of a draw — making Newcastle the favourite.

Will both teams score in Tottenham vs Newcastle?

Our model estimates a 67% probability that both Tottenham and Newcastle will score, so it leans towards BTTS Yes.

Will Tottenham vs Newcastle have over 2.5 goals?

Our model puts the probability of over 2.5 goals in this match at 67%, so it leans towards over 2.5 goals.

🧮 Model Insight

How the Model Works This Match

Working from Tottenham's attack rating (0.87) and Newcastle's defence rating (1.15), the model arrives at 1.71 expected goals for the home side. The same calculation in reverse, Newcastle's attack versus Tottenham's defence, projects 1.72 expected goals for the visitors.

These ratings are built from Tottenham's last 53 games and Newcastle's last 53 — a full enough recent sample to trust.

The Exact-Score Picture

Run the expected-goals figures through the full scoreline distribution and 1-1 emerges as the single most likely result, at 10.7%. Close behind: 1-2 (8.2%), 2-1 (8.1%). Together the top three scorelines make up 27% of the probability — a moderately spread distribution, typical of a competitive match-up.

Most Likely Outcome

Newcastle Win

38%

Tottenham

2.60

23%

Draw

4.44

39%

Newcastle

2.57

Top 3 Most Likely Scorelines

1 – 1

9.5%

Draw

Most likely

1 – 2

8.2%

Away win

2 – 1

8.1%

Home win

Expected Goals & Win Odds

1.71

Tottenham xG

Total xG

3.44

1.72

Newcastle xG

38%
23%
39%
TottenhamDrawNewcastle

2.60

38%

Home win

4.44

23%

Draw

2.57

39%

Away win

Goals Markets

86%

Over 1.5

1.16

14%

Under 1.5

7.14

67%

Over 2.5

1.49

33%

Under 2.5

3.03

45%

Over 3.5

2.22

55%

Under 3.5

1.82

26%

Over 4.5

3.85

74%

Under 4.5

1.35

Match Markets

Both Teams to Score

67%

BTTS Yes

1.49

33%

BTTS No

3.06

Clean Sheet

18%

Tottenham

5.60

18%

Newcastle

5.54

Win to Nil

7%

Tottenham

14.55

7%

Newcastle

14.21

Score Probability Matrix (%)

H \ A 0 1 2 3 4 5
0 3.2 5.6 4.8 2.7 1.2 0.4
1 5.5 9.5 8.2 4.7 2.0 0.7
2 4.7 8.1 7.0 4.0 1.7 0.6
3 2.7 4.6 4.0 2.3 1.0 0.3
4 1.2 2.0 1.7 1.0 0.4 0.1
5 0.4 0.7 0.6 0.3 0.1 –

Green = home win Β· Grey = draw Β· Amber = away win Β· Outlined cell = most likely score

▶ Model Internals
λ Home (xG) 1.712
λ Away (xG) 1.723
Total xG 3.435
League avg home goals 1.704
League avg away goals 1.361
Tottenham attack strength 0.872
Tottenham defence strength 1.146
Newcastle attack strength 1.104
Newcastle defence strength 1.152
Data phase CurrentSeason
Games used (H/A) 53 / 53

❓ Tottenham vs Newcastle Prediction FAQs

What is the most likely scoreline for Tottenham vs Newcastle?

Our Poisson model rates 1-1 as the single most likely exact scoreline, at 10.7%.

How many goals are Tottenham and Newcastle expected to score?

The model projects 1.71 expected goals for Tottenham and 1.72 for Newcastle, a combined total of 3.44.

How confident is the prediction model for Tottenham vs Newcastle?

Not very — the model's leading outcome sits at just 39%, meaning this is rated as a genuinely open contest with no dominant favourite.

📈 Form Insight

Form at a Glance

Tottenham come into this having played 53 games, going 26W 9D 18L for 1.64 points per game. Their last five reads L-L-L-D-L.

On the other side, Newcastle sit at 1.83 PPG from 53 outings (27W 16D 10L), a run that reads W-L-W-W-L across their last five.

Form-wise this is close to level: Tottenham on 1.64 PPG, Newcastle on 1.83. Other factors will likely decide this one more than recent results.

Venue Form

Tottenham's home form reads 16W 1D 9L across their last 26 home games, a 1.88 PPG return.

Away from home, Newcastle have taken 1.42 points per game from their last 26 away games (9W 10D 7L). That's a step down from their 1.83 PPG overall record — away form has been the weaker part of Newcastle's recent record.

Comparing the two in their relevant venue splits, Tottenham come out ahead — a more targeted read than the overall PPG figures above, since it strips out games played in the opposite context.

Goals in Recent Form

Tottenham are averaging 1.87 goals scored and 1.60 conceded per game recently; Newcastle are on 1.89 scored and 0.94 conceded. Tottenham's scoring rate against Newcastle's tighter defensive record is one of the more interesting match-ups in the goals markets here.

On BTTS specifically: Tottenham have seen both teams score in 66% of their recent games.

Defensively: Newcastle in 38% — worth knowing if you're weighing up clean-sheet or BTTS-No markets.

Last 53 Results

Current season: same league only · Previous season: all leagues (covers promoted/relegated teams)

Tottenham

Tottenham

Blended
L L L D L
Newcastle

Newcastle

Blended
W L W W L
53 Played 53
26/9/18 W / D / L 27/16/10
1.64 Points Per Game 1.83
1.87 Avg Goals Scored 1.89
1.60 Avg Goals Conceded 0.94
3.47 Avg Goals / Game 2.83
14 Clean Sheets 20
35 BTTS 26
34 Over 2.5 Games 27
Tottenham

Tottenham

L
H West Ham
1–2 HT 1–0
07 Dec
D
A Manchester City
3–3 HT 1–2
03 Dec
L
H Aston Villa
1–2 HT 1–1
26 Nov
L
A Wolves
1–2 HT 1–0
11 Nov
L
H Chelsea
1–4 HT 1–1
06 Nov
W
A Crystal Palace
2–1 HT 0–0
27 Oct
W
H Fulham
2–0 HT 1–0
23 Oct
W
A Luton
1–0 HT 0–0
07 Oct
W
H Liverpool
2–1 HT 1–1
30 Sep
D
A Arsenal
2–2 HT 1–1
24 Sep
W
H Sheffield Utd
2–1 HT 0–0
16 Sep
W
A Burnley
5–2 HT 2–1
02 Sep
W
A Bournemouth
2–0 HT 1–0
26 Aug
W
H Manchester United
2–0 HT 0–0
19 Aug
D
A Brentford
2–2 HT 2–2
13 Aug
W
A Leeds
4–1 HT 1–0
28 May
L
H Brentford
1–3 HT 1–0
20 May
L
A Aston Villa
1–2 HT 0–1
13 May
W
H Crystal Palace
1–0 HT 1–0
06 May
L
A Liverpool
3–4 HT 1–3
30 Apr
D
H Manchester United
2–2 HT 0–2
27 Apr
L
A Newcastle
1–6 HT 0–5
23 Apr
L
H Bournemouth
2–3 HT 1–1
15 Apr
W
H Brighton
2–1 HT 1–1
08 Apr
D
A Everton
1–1 HT 0–0
03 Apr
D
A Southampton
3–3 HT 1–0
18 Mar
W
H Nottingham Forest
3–1 HT 2–0
11 Mar
L
A Wolves
0–1 HT 0–0
04 Mar
W
H Chelsea
2–0 HT 0–0
26 Feb
W
H West Ham
2–0 HT 0–0
19 Feb
L
A Leicester
1–4 HT 1–3
11 Feb
W
H Manchester City
1–0 HT 1–0
05 Feb
W
A Fulham
1–0 HT 1–0
23 Jan
L
A Manchester City
2–4 HT 2–0
19 Jan
L
H Arsenal
0–2 HT 0–2
15 Jan
W
A Crystal Palace
4–0 HT 0–0
04 Jan
L
H Aston Villa
0–2 HT 0–0
01 Jan
D
A Brentford
2–2 HT 0–1
26 Dec
W
H Leeds
4–3 HT 1–2
12 Nov
L
H Liverpool
1–2 HT 0–2
06 Nov
W
A Bournemouth
3–2 HT 0–1
29 Oct
L
H Newcastle
1–2 HT 0–2
23 Oct
L
A Manchester United
0–2 HT 0–0
19 Oct
W
H Everton
2–0 HT 0–0
15 Oct
W
A Brighton
1–0 HT 1–0
08 Oct
L
A Arsenal
1–3 HT 1–1
01 Oct
W
H Leicester
6–2 HT 2–2
17 Sep
W
H Fulham
2–1 HT 1–0
03 Sep
D
A West Ham
1–1 HT 1–0
31 Aug
W
A Nottingham Forest
2–0 HT 1–0
28 Aug
W
H Wolves
1–0 HT 0–0
20 Aug
D
A Chelsea
2–2 HT 0–1
14 Aug
W
H Southampton
4–1 HT 2–1
06 Aug
Newcastle

Newcastle

L
A Everton
0–3 HT 0–0
07 Dec
W
H Manchester United
1–0 HT 0–0
02 Dec
W
H Chelsea
4–1 HT 1–1
25 Nov
L
A Bournemouth
0–2 HT 0–0
11 Nov
W
H Arsenal
1–0 HT 0–0
04 Nov
D
A Wolves
2–2 HT 2–1
28 Oct
W
H Crystal Palace
4–0 HT 3–0
21 Oct
D
A West Ham
2–2 HT 0–1
08 Oct
W
H Burnley
2–0 HT 1–0
30 Sep
W
A Sheffield Utd
8–0 HT 3–0
24 Sep
W
H Brentford
1–0 HT 0–0
16 Sep
L
A Brighton
1–3 HT 0–1
02 Sep
L
H Liverpool
1–2 HT 1–0
27 Aug
L
A Manchester City
0–1 HT 0–1
19 Aug
W
H Aston Villa
5–1 HT 2–1
12 Aug
D
A Chelsea
1–1 HT 1–1
28 May
D
H Leicester
0–0 HT 0–0
22 May
W
H Brighton
4–1 HT 2–0
18 May
D
A Leeds
2–2 HT 1–1
13 May
L
H Arsenal
0–2 HT 0–1
07 May
W
H Southampton
3–1 HT 0–1
30 Apr
W
A Everton
4–1 HT 1–0
27 Apr
W
H Tottenham
6–1 HT 5–0
23 Apr
L
A Aston Villa
0–3 HT 0–1
15 Apr
W
A Brentford
2–1 HT 0–1
08 Apr
W
A West Ham
5–1 HT 2–1
05 Apr
W
H Manchester United
2–0 HT 0–0
02 Apr
W
A Nottingham Forest
2–1 HT 1–1
17 Mar
W
H Wolves
2–1 HT 1–0
12 Mar
L
A Manchester City
0–2 HT 0–1
04 Mar
L
H Liverpool
0–2 HT 0–2
18 Feb
D
A Bournemouth
1–1 HT 1–1
11 Feb
D
H West Ham
1–1 HT 1–1
04 Feb
D
A Crystal Palace
0–0 HT 0–0
21 Jan
W
H Fulham
1–0 HT 0–0
15 Jan
D
A Arsenal
0–0 HT 0–0
03 Jan
D
H Leeds
0–0 HT 0–0
31 Dec
W
A Leicester
3–0 HT 3–0
26 Dec
W
H Chelsea
1–0 HT 0–0
12 Nov
W
A Southampton
4–1 HT 1–0
06 Nov
W
H Aston Villa
4–0 HT 1–0
29 Oct
W
A Tottenham
2–1 HT 2–0
23 Oct
W
H Everton
1–0 HT 1–0
19 Oct
D
A Manchester United
0–0 HT 0–0
16 Oct
W
H Brentford
5–1 HT 2–0
08 Oct
W
A Fulham
4–1 HT 3–0
01 Oct
D
H Bournemouth
1–1 HT 0–0
17 Sep
D
H Crystal Palace
0–0 HT 0–0
03 Sep
L
A Liverpool
1–2 HT 1–0
31 Aug
D
A Wolves
1–1 HT 0–1
28 Aug
D
H Manchester City
3–3 HT 2–1
21 Aug
D
A Brighton
0–0 HT 0–0
13 Aug
W
H Nottingham Forest
2–0 HT 0–0
06 Aug

Tottenham (Home) vs Newcastle (Away)

Home games only for the home side · Away games only for the away side

Tottenham

Tottenham

Blended
W W L L L
Newcastle

Newcastle

Blended
W D D L L
26 Played 26
16/1/9 W / D / L 9/10/7
1.88 Points Per Game 1.42
1.85 Avg Goals Scored 1.73
1.35 Avg Goals Conceded 1.23
3.19 Avg Goals / Game 2.96
8 Clean Sheets 6
16 BTTS 15
16 Over 2.5 Games 16
Tottenham

Tottenham — Home

L
West Ham
1–2 HT 1–0
07 Dec
L
Aston Villa
1–2 HT 1–1
26 Nov
L
Chelsea
1–4 HT 1–1
06 Nov
W
Fulham
2–0 HT 1–0
23 Oct
W
Liverpool
2–1 HT 1–1
30 Sep
W
Sheffield Utd
2–1 HT 0–0
16 Sep
W
Manchester United
2–0 HT 0–0
19 Aug
L
Brentford
1–3 HT 1–0
20 May
W
Crystal Palace
1–0 HT 1–0
06 May
D
Manchester United
2–2 HT 0–2
27 Apr
L
Bournemouth
2–3 HT 1–1
15 Apr
W
Brighton
2–1 HT 1–1
08 Apr
W
Nottingham Forest
3–1 HT 2–0
11 Mar
W
Chelsea
2–0 HT 0–0
26 Feb
W
West Ham
2–0 HT 0–0
19 Feb
W
Manchester City
1–0 HT 1–0
05 Feb
L
Arsenal
0–2 HT 0–2
15 Jan
L
Aston Villa
0–2 HT 0–0
01 Jan
W
Leeds
4–3 HT 1–2
12 Nov
L
Liverpool
1–2 HT 0–2
06 Nov
L
Newcastle
1–2 HT 0–2
23 Oct
W
Everton
2–0 HT 0–0
15 Oct
W
Leicester
6–2 HT 2–2
17 Sep
W
Fulham
2–1 HT 1–0
03 Sep
W
Wolves
1–0 HT 0–0
20 Aug
W
Southampton
4–1 HT 2–1
06 Aug
Newcastle

Newcastle — Away

L
Everton
0–3 HT 0–0
07 Dec
L
Bournemouth
0–2 HT 0–0
11 Nov
D
Wolves
2–2 HT 2–1
28 Oct
D
West Ham
2–2 HT 0–1
08 Oct
W
Sheffield Utd
8–0 HT 3–0
24 Sep
L
Brighton
1–3 HT 0–1
02 Sep
L
Manchester City
0–1 HT 0–1
19 Aug
D
Chelsea
1–1 HT 1–1
28 May
D
Leeds
2–2 HT 1–1
13 May
W
Everton
4–1 HT 1–0
27 Apr
L
Aston Villa
0–3 HT 0–1
15 Apr
W
Brentford
2–1 HT 0–1
08 Apr
W
West Ham
5–1 HT 2–1
05 Apr
W
Nottingham Forest
2–1 HT 1–1
17 Mar
L
Manchester City
0–2 HT 0–1
04 Mar
D
Bournemouth
1–1 HT 1–1
11 Feb
D
Crystal Palace
0–0 HT 0–0
21 Jan
D
Arsenal
0–0 HT 0–0
03 Jan
W
Leicester
3–0 HT 3–0
26 Dec
W
Southampton
4–1 HT 1–0
06 Nov
W
Tottenham
2–1 HT 2–0
23 Oct
D
Manchester United
0–0 HT 0–0
16 Oct
W
Fulham
4–1 HT 3–0
01 Oct
L
Liverpool
1–2 HT 1–0
31 Aug
D
Wolves
1–1 HT 0–1
28 Aug
D
Brighton
0–0 HT 0–0
13 Aug

❓ Tottenham vs Newcastle Form FAQs

What form are Tottenham and Newcastle in coming into this match?

Tottenham have gone 26W 9D 18L in their last 53 games (1.64 PPG), while Newcastle have gone 27W 16D 10L in their last 53 (1.83 PPG).

Which team has the better venue record — Tottenham at home or Newcastle away?

Tottenham's home record (1.88 PPG) is the stronger of the two venue-specific splits — Tottenham at home: 1.88 PPG; Newcastle away: 1.42 PPG.

Have Tottenham or Newcastle been keeping clean sheets recently?

Tottenham have kept a clean sheet in 26% of their recent games, Newcastle in 38%.

⚔️ Rivalry Insight

Fixture History

This section is based on the 10 H2H matches we hold for this pairing, spanning roughly 4 years from April 2022. All of them came in Premier League. The most recent was as recently as 29 August 2026, so it is a fresh reference point.

Streaks & Records

Newcastle have won each of the latest 2 H2H matches we hold, a run that gives them the edge coming in.

The biggest gap in our H2H data came on 23 Apr 2023, when Newcastle won Newcastle 6-1 Tottenham.

Tottenham's record when hosting Newcastle specifically: 2W 0D 4L from 6 games — a narrower, venue-specific slice of the head-to-head picture.

Last 10 Meetings

Tottenham

2

Tottenham

1

Draws

Newcastle

7

Newcastle

Recent Meetings

Tottenham
0–2
29 Aug 26
Newcastle
Tottenham
1–2
10 Feb 26
Newcastle
Newcastle
2–2
02 Dec 25
Tottenham
Tottenham
1–2
04 Jan 25
Newcastle
Newcastle
2–1
01 Sep 24
Tottenham
Newcastle
4–0
13 Apr 24
Tottenham
Tottenham
4–1
10 Dec 23
Newcastle
Newcastle
6–1
23 Apr 23
Tottenham
Tottenham
1–2
23 Oct 22
Newcastle
Tottenham
5–1
03 Apr 22
Newcastle

❓ Tottenham vs Newcastle H2H FAQs

What is the head-to-head record between Tottenham and Newcastle?

Across the 10 head-to-head matches in our data, Tottenham have won 2, Newcastle have won 7, and 1 has been drawn.

When did Tottenham and Newcastle last play each other?

The most recent meeting in our data was on 29 August 2026: Tottenham 0-2 Newcastle.

Who has won more matches between Tottenham and Newcastle?

Newcastle have the better head-to-head record, with 7 wins from the 10 head-to-head matches in our data.

📈 Trading Insight

First-Half Patterns

Tottenham are typically involved in an early goal — the half-time board shows at least one in 73% of their matches. They've gone in front at half-time 31% of the time, though they've let that lead slip 25% of the time they've held it — worth watching if they're only ahead by one. They've also shown some fight from behind, salvaging a draw or win after trailing at half-time in 40% of those situations.

Newcastle are typically involved in an early goal — the half-time board shows at least one in 77% of their matches. They've gone in front at half-time 35% of the time, though they've let that lead slip 22% of the time they've held it — worth watching if they're only ahead by one. They've also shown some fight from behind, salvaging a draw or win after trailing at half-time in 43% of those situations.

Full-Time Trends

BTTS sits in mixed territory for this pairing — Tottenham 62%, Newcastle 58% — no strong lean either way from the trading data alone.

Goals have flowed in these teams' recent matches — Over 2.5 has landed at 62% for Tottenham and 62% for Newcastle. Stepping up a level, Over 3.5 has also landed reasonably often — 31% and 35% respectively — worth a look for goal-hungry markets.

On the defensive side: Tottenham keep a clean sheet in 31% of their matches; Newcastle in 35%.

📈

Current season: same league only. Previous season: all leagues (covers promoted/relegated teams). All = any venue  |  Venue = Tottenham home games / Newcastle away games. HT metrics require half-time score data β€” shown as β€” where unavailable.

Tottenham Tottenham Blended
Metric All
(53 games)
Venue
(26 games)
Half-Time Metrics
1+ Goal Before HT 40/53
(75.5%)
19/26
(73.1%)
2+ Goals Before HT 22/53
(41.5%)
13/26
(50%)
0-0 HT → 1+ Goal 2nd Half 13/13
(100%)
7/7
(100%)
0-0 HT → 2+ Goals 2nd Half 10/13
(76.9%)
6/7
(85.7%)
Winning at HT 18/53
(34%)
8/26
(30.8%)
Lost Lead (Win HT → No Win FT) 6/18
(33.3%)
2/8
(25%)
Came From Behind (Lose HT → Draw/Win FT) 6/13
(46.2%)
2/5
(40%)
Full-Time Metrics
BTTS 35/53
(66%)
16/26
(61.5%)
Over 2.5 Goals 34/53
(64.2%)
16/26
(61.5%)
Over 3.5 Goals 23/53
(43.4%)
8/26
(30.8%)
Clean Sheet 14/53
(26.4%)
8/26
(30.8%)
Failed to Score 4/53
(7.5%)
2/26
(7.7%)
Newcastle Newcastle Blended
Metric All
(53 games)
Venue
(26 games)
Half-Time Metrics
1+ Goal Before HT 36/53
(67.9%)
20/26
(76.9%)
2+ Goals Before HT 19/53
(35.8%)
10/26
(38.5%)
0-0 HT → 1+ Goal 2nd Half 10/17
(58.8%)
2/6
(33.3%)
0-0 HT → 2+ Goals 2nd Half 5/17
(29.4%)
2/6
(33.3%)
Winning at HT 20/53
(37.7%)
9/26
(34.6%)
Lost Lead (Win HT → No Win FT) 4/20
(20%)
2/9
(22.2%)
Came From Behind (Lose HT → Draw/Win FT) 4/10
(40%)
3/7
(42.9%)
Full-Time Metrics
BTTS 26/53
(49.1%)
15/26
(57.7%)
Over 2.5 Goals 27/53
(50.9%)
16/26
(61.5%)
Over 3.5 Goals 18/53
(34%)
9/26
(34.6%)
Clean Sheet 20/53
(37.7%)
6/26
(23.1%)
Failed to Score 14/53
(26.4%)
9/26
(34.6%)

❓ Tottenham vs Newcastle Trading FAQs

Do both teams usually score in Tottenham and Newcastle matches?

Yes — based on recent matches, both teams have scored in 62% of Tottenham's games and 58% of Newcastle's, a combined rate that favours BTTS Yes.

Are Tottenham and Newcastle matches usually high-scoring?

Recent trends suggest it could be — Over 2.5 goals has landed in 62% of Tottenham's matches and 62% of Newcastle's.

Do Tottenham and Newcastle matches tend to have early goals?

There has been at least one first-half goal in 73% of Tottenham's recent matches and 77% of Newcastle's — a useful reference point for first-half goal markets.

📰

Dominant Tottenham run riot with a 4-1 hammering of Newcastle.

📝 Match Report

How It Unfolded

Tottenham beat Newcastle 4-1 at Tottenham Hotspur Stadium, Regular Season - 16, in the Premier League. With the result on the board, the sections below measure it against everything the model and the numbers projected in advance.

The Model vs The Result

The Poisson model went into this projecting Tottenham 1.71 xG and Newcastle 1.72 xG, a combined 3.44. The scoreboard read 4-1 for 5 actual goals. Tottenham beat their projection by 2.3 — clinical relative to the chances the model priced in. Those figures were built on strength ratings of Tottenham attack 0.87 / defence 1.15 against Newcastle attack 1.10 / defence 1.15, drawn from 53/53 games (CurrentSeason).

On the result, the model split it Tottenham 38% | Draw 23% | Newcastle 39%, with Newcastle to win its most likely call at 39%. The actual Tottenham win had been the model's second-ranked read at 38%, so the result diverged from the top call without being a shock.

Goals & Markets

The model rated Over 2.5 goals at 67%. The game delivered 5, so it went over — a call the model got right. Over 1.5 had been 86% and landed. Over 3.5 was 45% and came in. On both teams to score, the model sat at 67% and the match saw both sides score — another call in the model's favour. Historically the two sides average 58% Over 2.5 across their same-competition games (Tottenham 64%, Newcastle 51%), a base rate that agreed with today's over. Their combined BTTS history runs at 58%, which matched the both-scored outcome.

Trading Patterns vs Reality

Tottenham's trading profile (53 games, 26 home) set some clear expectations: BTTS lands in 66% of their matches — today it did.

Newcastle's trading profile (53 games, 26 away) set some clear expectations: BTTS lands in 49% of their matches — today it did; they keep a clean sheet 38% of the time, and conceded here.

Form vs Result

The form lines were close — Tottenham 1.64 PPG, Newcastle 1.83 PPG — offering no strong steer, and the Tottenham win broke the near-deadlock. Tottenham (home/away splits) scored 4 against a 1.85 average — above their attacking norm. Newcastle (home/away splits) shipped 4 against a 1.23 concession average — a leakier day than usual.

Verdict

Grading the result against the stored data, 2 of 3 pre-match signals came in: result (miss), Over 2.5 (hit), BTTS (hit). The model got the gist right while missing on the margins.

💡 Key Insights

Model Over/Under 2.5 landed as modelled — 67% Over 2.5 probability, 5 goals scored.
Model BTTS matched the model — 67% projected, both teams scored.
Trading Trading data backed up — the sides average 58% Over 2.5 historically, and this game went over.

⚠️ This match report is generated algorithmically from the final score, our prediction model, and each team's historical form and trading data. Analysis is for informational purposes only.

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