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Wolves 2-2 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 - 10

Kick-off

Sat 28 Oct 2023

16:30

Venue

Molineux Stadium

Competition

Premier League

England

Status

FT
💬 Comment 📝 Notes
📋

Poisson rates Newcastle at 56% — recent form provides partial corroboration, though signals are mixed in this Wolves vs Newcastle encounter.

✍️ Match Preview

Fixture Analysis

Wolves welcome Newcastle to Molineux Stadium in Premier League (matchday 10). Kick-off is Saturday 28 October 2023 at 17:30 UK time.

Recent Form

Across their last 10 games, Wolves have gone 3W 2D 5L — a 1.10 PPG return. Last five: L D W D W. They are averaging 1.10 goals per game and conceding 2.00 — a modest attacking output that tempers optimism on the Over 2.5 market. However, 2.00 goals conceded per game is a concern — opposing attacks have exploited them regularly. 1 clean sheet from 10 outings (10%). Both teams have scored in 70% of their games — a high BTTS rate that carries real weight in the goals markets.

Wolves at home: 5W 2D 3L from their last 10 home games — 1.70 PPG on home soil. At home they are averaging 1.40 goals scored and 1.40 conceded per game. 4 home clean sheets from their last 10 home games (40%) — a solid defensive base on their own ground. BTTS has landed in 60% of their home matches — a rate that supports the Yes angle in this fixture. Their home PPG of 1.70 is noticeably stronger than their overall 1.10 — Wolves are significantly better at home than their overall form suggests.

Newcastle — last 10 games: 5W 2D 3L — 1.70 PPG. Last five: W W W D W. Their attacking form is sharp — 2.50 goals per game is a high-output rate that commands respect in the goals markets. 4 clean sheets in 10 outings (40%) underlines their defensive solidity.

Newcastle away from home: 4W 3D 3L from their last 10 away games — 1.50 PPG on the road. They are averaging 2.50 goals per away game — strong road scoring that makes them a threat even without home support. Both teams have scored in 70% of their away matches — a high BTTS rate on the road that directly informs this fixture.

Form points away from home here. Newcastle's 1.70 PPG return is 0.60 points per game ahead of Wolves's 1.10 — 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 60% of Wolves's games and 70% of Newcastle's (from Wolves'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 4 H2H matches, Wolves have won 1, Newcastle 2, with 1 draw — a balanced record that offers no clear steer on its own.

The 4 H2H matches in our data averaged 2.2 goals per game — a neutral rate that gives no strong lean on the goals market from the H2H alone. The most recent of those, on 12 Mar 2023, ended Wolves 1–2 Newcastle — a Newcastle win.

The head-to-head data offers no strong steer in either the result or goals markets. Form, the model and current market pricing should carry more weight for this fixture.

In-Play Data

Wolves trading profile (last 47 games, 23 of them at home): at least one goal arrives before half-time in 65% of their matches in home games; when goalless at HT, a second-half goal follows 88% of the time; of the 13 games they led at half-time, they failed to win 46%; BTTS occurs in 35% of their matches (home games); Over 2.5 goals lands in 35% of games (home games); they fail to score in 34% of games.

Newcastle trading profile (last 47 games, 23 of them away): at least one goal arrives before half-time in 83% of their matches in away games; when goalless at HT, a second-half goal follows 46% of the time; of the 10 games they trailed at half-time, they recovered to draw or win 40%; BTTS occurs in 61% of their matches (away games); Over 2.5 goals lands in 61% of games (away games).

BTTS rates are mixed from the trading data — Wolves 45% versus Newcastle 51%; no strong lean in either direction. The over/under 2.5 picture is inconclusive from the in-play data (Wolves 43% | Newcastle 51%). There is an in-play dynamic worth noting: Wolves surrender their half-time lead 46% 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 Wolves 1.34 xG and Newcastle 2.14 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: Wolves attack 0.914 / defence 1.096 | Newcastle attack 1.415 / defence 0.919. League average goals — home 1.599 / away 1.381. Newcastle have an above-average attack rating of 1.415, which lifts their away xG to 2.14. Data: built from Wolves's last 47 games and Newcastle's last 47.

Result probabilities: Wolves 24% | Draw 21% | Newcastle 56%. Fair-value odds: Wolves 4.23 | Draw 4.84 | Newcastle 1.80. The model has a clear lean to Newcastle (56%) — a 32pp gap over the next-most-likely outcome reflects a meaningful statistical advantage.

Goals markets: Over 2.5 probability 68% | BTTS Yes probability 65% | Total xG 3.49. Over 2.5 is the model's clear signal at 68% — a total xG of 3.49 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 65% — both xG figures (1.34 / 2.14) are high enough that each side is projected to find the net.

Analysis Verdict

On the Poisson output, Newcastle are the pick at 56% — clear model lean. Recent form corroborates the Poisson lean — partial multi-source support. Draw No Bet is worth pricing alongside the outright: 21% draw probability makes the stalemate a live outcome even at this conviction level.

Poisson projects 3.49 total expected goals, pointing to Over 2.5 at 68% probability — reasonable conviction, supported by recent form (Wolves's last 10 home games and Newcastle's last 10 away games) averaging 3.4 goals per game.

The Poisson model's BTTS call is Yes at 65%. Form rates corroborate — both teams scored in: Wolves 60% (last 10 home games) | Newcastle 70% (last 10 away games).

🔮 Your Prediction

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💡 Key Insights

H2H The H2H record is evenly balanced (Wolves 1W, 1D, Newcastle 2W from the 4 H2H matches in our data), with no clear advantage.
BTTS H2H BTTS 75% and Poisson BTTS Yes 65% — two-way scoring is backed by both the H2H data and the model.
Form Newcastle lead on PPG: 1.70 vs 1.10 — in-form visitors may prove difficult to contain.
Form Newcastle Poisson xG (2.14) is below their form scoring rate (2.50 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 (Wolves 6/10 home, Newcastle 7/10 away) and the Poisson model (BTTS Yes 65%).
Form Form and Poisson model both favour Newcastle — Newcastle at 56% win probability.
Prediction Poisson model strongly favours Newcastle at 56% away win probability.
Goals Poisson Over 2.5 probability is 68% — the model favours goals in this fixture.
BTTS Poisson BTTS Yes probability is 65% — the model favours both teams scoring.

🏟️ Match Context

• Fixture: Wolves vs Newcastle | Competition: Premier League, matchday 10 | Venue: Molineux Stadium • Kick-off: Saturday 28 October 2023 at 17:30 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: Wolves 24% | Draw 21% | Newcastle 56% • Poisson goal markets: Over 2.5 68% (Under 32%) | BTTS Yes 65% (No 35%) | xG Wolves 1.34 / Newcastle 2.14 • Poisson strength factors: Wolves attack 0.914 / def 1.096 | Newcastle attack 1.415 / def 0.919 | league avg home 1.599 / away 1.381 • Poisson stance: Newcastle (56%) — strong lean

🧮 Prediction Model

1.34

Wolves xG

Expected Goals

2.14

Newcastle xG

24%
21%
56%
Wolves Draw Newcastle

65%

BTTS

86%

Over 1.5

68%

Over 2.5

46%

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.

❓ Wolves vs Newcastle FAQs

What time does Wolves vs Newcastle kick off?

Wolves vs Newcastle kicked off at 17:30 UK time on Saturday 28 October 2023 at Molineux Stadium.

What was the final score in Wolves vs Newcastle?

Wolves 2 - 2 Newcastle.

Where is Wolves vs Newcastle being played?

The match is being played at Molineux Stadium.

What competition is Wolves vs Newcastle part of?

Wolves vs Newcastle is a Premier League fixture (matchday 10) (England).

Who is favourite to win Wolves vs Newcastle?

Our statistical model gives Wolves a 24% chance of winning, Newcastle a 56% chance, and a 21% chance of a draw — making Newcastle the favourite.

Will both teams score in Wolves vs Newcastle?

Our model estimates a 65% probability that both Wolves and Newcastle will score, so it leans towards BTTS Yes.

Will Wolves vs Newcastle have over 2.5 goals?

Our model puts the probability of over 2.5 goals in this match at 68%, so it leans towards over 2.5 goals.

🧮 Model Insight

How the Model Works This Match

The model rates Wolves's attack at 0.91x the league average against Newcastle's defence at 0.92x — combine the two and it projects 1.34 expected goals for the hosts. The same calculation in reverse, Newcastle's attack versus Wolves's defence, projects 2.14 expected goals for the visitors.

These ratings are built from Wolves's last 47 games and Newcastle's last 47 — a full enough recent sample to trust.

Scoreline Breakdown

Of every possible scoreline, 1-1 carries the highest individual probability at 10.0% — still a long way from a near-certainty, which says something about how open this one is on paper. Close behind: 1-2 (9.4%), 0-2 (7.0%). Together the top three scorelines make up 26% of the probability — a moderately spread distribution, typical of a competitive match-up.

Most Likely Outcome

Newcastle Win

24%

Wolves

4.23

21%

Draw

4.84

56%

Newcastle

1.80

Top 3 Most Likely Scorelines

1 – 2

9.4%

Away win

Most likely

1 – 1

8.8%

Draw

0 – 2

7.0%

Away win

Expected Goals & Win Odds

1.34

Wolves xG

Total xG

3.49

2.14

Newcastle xG

24%
21%
56%
WolvesDrawNewcastle

4.23

24%

Home win

4.84

21%

Draw

1.80

56%

Away win

Goals Markets

86%

Over 1.5

1.16

14%

Under 1.5

7.14

68%

Over 2.5

1.47

32%

Under 2.5

3.12

46%

Over 3.5

2.17

54%

Under 3.5

1.85

27%

Over 4.5

3.70

73%

Under 4.5

1.37

Match Markets

Both Teams to Score

65%

BTTS Yes

1.53

35%

BTTS No

2.88

Clean Sheet

12%

Wolves

8.51

26%

Newcastle

3.83

Win to Nil

3%

Wolves

35.99

15%

Newcastle

6.89

Score Probability Matrix (%)

H \ A 0 1 2 3 4 5
0 3.1 6.6 7.0 5.0 2.7 1.1
1 4.1 8.8 9.4 6.7 3.6 1.5
2 2.8 5.9 6.3 4.5 2.4 1.0
3 1.2 2.7 2.8 2.0 1.1 0.5
4 0.4 0.9 1.0 0.7 0.4 0.2
5 0.1 0.2 0.3 0.2 0.1 –

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

▶ Model Internals
λ Home (xG) 1.344
λ Away (xG) 2.141
Total xG 3.485
League avg home goals 1.599
League avg away goals 1.381
Wolves attack strength 0.914
Wolves defence strength 1.096
Newcastle attack strength 1.415
Newcastle defence strength 0.919
Data phase CurrentSeason
Games used (H/A) 47 / 47

❓ Wolves vs Newcastle Prediction FAQs

What is the most likely scoreline for Wolves vs Newcastle?

Our Poisson model rates 1-1 as the single most likely exact scoreline, at 10.0%.

How many goals are Wolves and Newcastle expected to score?

The model projects 1.34 expected goals for Wolves and 2.14 for Newcastle, a combined total of 3.49.

How confident is the prediction model for Wolves vs Newcastle?

Reasonably confident — the model's leading outcome is rated at 56%, a clear lean rather than a toss-up.

📈 Form Insight

Form at a Glance

Wolves come into this having played 47 games, going 14W 10D 23L for 1.11 points per game. Their last five reads L-D-W-D-W.

On the other side, Newcastle sit at 1.85 PPG from 47 outings (24W 15D 8L), a run that reads W-W-W-D-W across their last five.

Newcastle carry the stronger recent form of the two, 0.74 PPG clear of Wolves — worth weighing alongside whatever the head-to-head and market data say.

Venue Form

Wolves's home form reads 10W 4D 9L across their last 23 home games, a 1.48 PPG return.

Away from home, Newcastle have taken 1.57 points per game from their last 23 away games (9W 9D 5L).

Goals in Recent Form

Wolves are averaging 0.89 goals scored and 1.55 conceded per game recently; Newcastle are on 1.96 scored and 0.89 conceded.

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

Last 47 Results

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

Wolves

Wolves

Blended
L D W D W
Newcastle

Newcastle

Blended
W W W D W
47 Played 47
14/10/23 W / D / L 24/15/8
1.11 Points Per Game 1.85
0.89 Avg Goals Scored 1.96
1.55 Avg Goals Conceded 0.89
2.45 Avg Goals / Game 2.85
12 Clean Sheets 18
21 BTTS 24
20 Over 2.5 Games 24
Wolves

Wolves

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

Newcastle

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

Wolves (Home) vs Newcastle (Away)

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

Wolves

Wolves

Blended
D L L W D
Newcastle

Newcastle

Blended
D L L W D
23 Played 23
10/4/9 W / D / L 9/9/5
1.48 Points Per Game 1.57
1.04 Avg Goals Scored 1.87
1.26 Avg Goals Conceded 1.09
2.30 Avg Goals / Game 2.96
10 Clean Sheets 6
8 BTTS 14
8 Over 2.5 Games 14
Wolves

Wolves — Home

D
Aston Villa
1–1 HT 0–0
08 Oct
W
Manchester City
2–1 HT 1–0
30 Sep
L
Liverpool
1–3 HT 1–0
16 Sep
L
Brighton
1–4 HT 0–1
19 Aug
D
Everton
1–1 HT 1–0
20 May
W
Aston Villa
1–0 HT 1–0
06 May
W
Crystal Palace
2–0 HT 1–0
25 Apr
W
Brentford
2–0 HT 1–0
15 Apr
W
Chelsea
1–0 HT 1–0
08 Apr
L
Leeds
2–4 HT 0–1
18 Mar
W
Tottenham
1–0 HT 0–0
04 Mar
L
Bournemouth
0–1 HT 0–0
18 Feb
W
Liverpool
3–0 HT 2–0
04 Feb
W
West Ham
1–0 HT 0–0
14 Jan
L
Manchester United
0–1 HT 0–0
31 Dec
L
Arsenal
0–2 HT 0–0
12 Nov
L
Brighton
2–3 HT 2–2
05 Nov
L
Leicester
0–4 HT 0–2
23 Oct
W
Nottingham Forest
1–0 HT 0–0
15 Oct
L
Manchester City
0–3 HT 0–2
17 Sep
W
Southampton
1–0 HT 1–0
03 Sep
D
Newcastle
1–1 HT 1–0
28 Aug
D
Fulham
0–0 HT 0–0
13 Aug
Newcastle

Newcastle — Away

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

❓ Wolves vs Newcastle Form FAQs

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

Wolves have gone 14W 10D 23L in their last 47 games (1.11 PPG), while Newcastle have gone 24W 15D 8L in their last 47 (1.85 PPG).

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

Newcastle's away record (1.57 PPG) is the stronger of the two venue-specific splits — Wolves at home: 1.48 PPG; Newcastle away: 1.57 PPG.

Have Wolves or Newcastle been keeping clean sheets recently?

Wolves 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 October 2021. All of them came in Premier League. The most recent was on 18 January 2026, roughly 9 months ago.

Streaks & Records

The biggest gap in our H2H data came on 2 Mar 2024, when Newcastle won Newcastle 3-0 Wolves.

Wolves's record when hosting Newcastle specifically: 1W 3D 1L from 5 games — a narrower, venue-specific slice of the head-to-head picture.

Last 10 Meetings

Wolves

1

Wolves

3

Draws

Newcastle

6

Newcastle

Recent Meetings

Wolves
0–0
18 Jan 26
Newcastle
Newcastle
1–0
13 Sep 25
Wolves
Newcastle
3–0
15 Jan 25
Wolves
Wolves
1–2
15 Sep 24
Newcastle
Newcastle
3–0
02 Mar 24
Wolves
Wolves
2–2
28 Oct 23
Newcastle
Newcastle
2–1
12 Mar 23
Wolves
Wolves
1–1
28 Aug 22
Newcastle
Newcastle
1–0
08 Apr 22
Wolves
Wolves
2–1
02 Oct 21
Newcastle

❓ Wolves vs Newcastle H2H FAQs

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

Across the 10 head-to-head matches in our data, Wolves have won 1, Newcastle have won 6, and 3 have been drawn.

When did Wolves and Newcastle last play each other?

The most recent meeting in our data was on 18 January 2026: Wolves 0-0 Newcastle.

Who has won more matches between Wolves and Newcastle?

Newcastle have the better head-to-head record, with 6 wins from the 10 head-to-head matches in our data.

📈 Trading Insight

First-Half Patterns

Wolves are typically involved in an early goal — the half-time board shows at least one in 65% of their matches. They've gone in front at half-time 44% of the time, though they've let that lead slip 30% of the time they've held it — worth watching if they're only ahead by one.

Newcastle are typically involved in an early goal — the half-time board shows at least one in 83% of their matches. They've gone in front at half-time 35% of the time. 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 — Wolves 35%, Newcastle 61% — no strong lean either way from the trading data alone.

Over 2.5 has been close to a coin-flip for both sides — 35% (Wolves) and 61% (Newcastle).

On the defensive side: Wolves keep a clean sheet in 44% of their matches; Wolves have failed to score in 26% of games; Newcastle in 30%.

📈

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

Wolves Wolves Blended
Metric All
(47 games)
Venue
(23 games)
Half-Time Metrics
1+ Goal Before HT 31/47
(66%)
15/23
(65.2%)
2+ Goals Before HT 9/47
(19.1%)
4/23
(17.4%)
0-0 HT → 1+ Goal 2nd Half 14/16
(87.5%)
7/8
(87.5%)
0-0 HT → 2+ Goals 2nd Half 6/16
(37.5%)
2/8
(25%)
Winning at HT 13/47
(27.7%)
10/23
(43.5%)
Lost Lead (Win HT → No Win FT) 6/13
(46.2%)
3/10
(30%)
Came From Behind (Lose HT → Draw/Win FT) 3/14
(21.4%)
0/4
(0%)
Full-Time Metrics
BTTS 21/47
(44.7%)
8/23
(34.8%)
Over 2.5 Goals 20/47
(42.6%)
8/23
(34.8%)
Over 3.5 Goals 8/47
(17%)
5/23
(21.7%)
Clean Sheet 12/47
(25.5%)
10/23
(43.5%)
Failed to Score 16/47
(34%)
6/23
(26.1%)
Newcastle Newcastle Blended
Metric All
(47 games)
Venue
(23 games)
Half-Time Metrics
1+ Goal Before HT 34/47
(72.3%)
19/23
(82.6%)
2+ Goals Before HT 17/47
(36.2%)
9/23
(39.1%)
0-0 HT → 1+ Goal 2nd Half 6/13
(46.2%)
0/4
(0%)
0-0 HT → 2+ Goals 2nd Half 3/13
(23.1%)
0/4
(0%)
Winning at HT 19/47
(40.4%)
8/23
(34.8%)
Lost Lead (Win HT → No Win FT) 3/19
(15.8%)
1/8
(12.5%)
Came From Behind (Lose HT → Draw/Win FT) 4/10
(40%)
3/7
(42.9%)
Full-Time Metrics
BTTS 24/47
(51.1%)
14/23
(60.9%)
Over 2.5 Goals 24/47
(51.1%)
14/23
(60.9%)
Over 3.5 Goals 16/47
(34%)
8/23
(34.8%)
Clean Sheet 18/47
(38.3%)
6/23
(26.1%)
Failed to Score 12/47
(25.5%)
7/23
(30.4%)

❓ Wolves vs Newcastle Trading FAQs

Do both teams usually score in Wolves and Newcastle matches?

Not especially — both teams scoring has occurred in only 35% of Wolves's recent matches and 61% of Newcastle's, a rate that leans toward BTTS No.

Are Wolves and Newcastle matches usually high-scoring?

Not particularly — Over 2.5 goals has come in for only 35% of Wolves's recent games and 61% of Newcastle's, pointing to a tighter contest.

Do Wolves and Newcastle matches tend to have early goals?

There has been at least one first-half goal in 65% of Wolves's recent matches and 83% of Newcastle's — a useful reference point for first-half goal markets.

📰

Wolves and Newcastle share the spoils in a 2-2 draw.

📝 Match Report

How It Unfolded

Wolves and Newcastle finished level at 2-2 at Molineux Stadium, Regular Season - 10, in the Premier League. That is the final score; the rest of this report grades it against what the data forecast beforehand.

The Model vs The Result

The Poisson model went into this projecting Wolves 1.34 xG and Newcastle 2.14 xG, a combined 3.49. The scoreboard read 2-2 for 4 actual goals. Both sides finished within a goal of their individual projections, so the scoreline sat close to the model's expected shape. Those figures were built on strength ratings of Wolves attack 0.91 / defence 1.10 against Newcastle attack 1.42 / defence 0.92, drawn from 47/47 games (CurrentSeason).

On the result, the model split it Wolves 24% | Draw 21% | Newcastle 56%, with Newcastle to win its most likely call at 56%. Instead the game produced a draw, an outcome the model had rated at just 21% — a clear break from expectation and a genuine upset by the numbers.

Goals & Markets

The model rated Over 2.5 goals at 68%. The game delivered 4, so it went over — the model's lean was correct. Over 1.5 had been 86% and landed. Over 3.5 was 46% and came in. On both teams to score, the model sat at 65% and the match saw both sides score — another call in the model's favour. Historically the two sides average 47% Over 2.5 across their same-competition games (Wolves 43%, Newcastle 51%), a base rate that pointed the other way from today's over. Their combined BTTS history runs at 48%, which did not match the both-scored outcome.

Trading Patterns vs Reality

Wolves's trading profile (47 games, 23 home) set some clear expectations: BTTS lands in 45% of their matches — today it did.

Newcastle's trading profile (47 games, 23 away) set some clear expectations: BTTS lands in 51% of their matches — today it did; they keep a clean sheet 38% of the time, and conceded here.

Form vs Result

On form, Newcastle arrived the stronger side — 1.85 PPG against 1.11. The form guide was only half-right: the stronger side did not lose, but could not convert the edge into a win. Wolves (home/away splits) scored 2 against a 1.04 average — above their attacking norm. Newcastle (home/away splits) shipped 2 against a 1.09 concession average — a leakier day than usual.

Verdict

Grading the result against the stored data, 2 of 4 pre-match signals came in: result (miss), Over 2.5 (hit), BTTS (hit), form (miss). A mixed scorecard — the data caught the broad shape of the game but not every market.

💡 Key Insights

Model Over/Under 2.5 landed as modelled — 68% Over 2.5 probability, 4 goals scored.
Model BTTS matched the model — 65% projected, both teams scored.
Trading Trading data bucked — 47% historical Over 2.5 rate, but the 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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