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Newcastle 1-0 Wolves – Result & Analysis

🎯

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Premier League · Regular Season - 32

Kick-off

Fri 8 Apr 2022

20:00

Venue

St. James' Park

Competition

Premier League

England

Status

FT
💬 Comment 📡 Chat 📝 Notes
📋

Poisson model rates Wolves at 42%, yet other data sources diverge — this Newcastle vs Wolves fixture contains genuine analytical tension.

✍️ Match Preview

Match Analysis

Newcastle host Wolves at St. James' Park in Premier League, Regular Season - 32. Kick-off is scheduled for Friday 8 April 2022 at 20:00 UTC.

Form Guide

Newcastle — All Games: 6W 1D 3L from 10 Premier League outings this season, averaging 1.90 points per game. Last five: W W L L L. They are averaging 1.30 goals per game and conceding 1.10 — a modest attacking output that tempers optimism on the Over 2.5 market. 3 clean sheets from 10 outings provides some defensive foundation.

At home at St. James' Park, Newcastle have gone 4W 4D 2L this season (10 games, 1.60 PPG). At home they are averaging 1.30 goals scored and 1.50 conceded per game. BTTS has landed in 60% of their home matches — a rate that supports the Yes angle in this fixture.

Across all Premier League games this season, Wolves have recorded 5W 0D 5L from 10 outings — 1.50 PPG. Last five: L W W L W. Their scoring rate of 1.40 per game is modest, conceding 1.10 — not a side to back heavily on the Over 2.5 from their form alone. 3 clean sheets from 10 outings suggests some defensive organisation.

Wolves's away record: 5W 1D 4L from 10 road trips in Premier League this season (1.60 PPG). Away from home they average 0.80 goals scored and 0.70 conceded per game. 5 away clean sheets from 10 games (50%) — they are as difficult to score against on the road as they are at home. Away from home, both teams have scored in only 20% of games — a low rate that backs BTTS No when they travel.

There is minimal separation in the form figures — Newcastle at 1.90 PPG versus Wolves's 1.50. The form guide is not providing a strong directional steer; the model and market data will carry more weight in the final assessment.

Head to Head

There is little to separate the sides historically. From 1 previous meetings, Newcastle have won 0, Wolves 1, with 0 draws — a balanced ledger that offers no obvious directional steer on its own.

Goals have been a feature of this fixture. The last 1 meetings have averaged 3.0 per game — a rate that gives the Over 2.5 market a solid historical foundation. The most recent clash, on 2 Oct 2021, ended 1–2 with Wolves winning.

With the win record balanced, the strongest H2H-derived signal is in the goals market. At 3.0 goals per game historically, Over 2.5 is the cleaner angle to extract from the head-to-head data.

In-Play Data

Newcastle trading profile (30 games, 14 at home): BTTS occurs in 71% of their matches (home games); Over 2.5 goals lands in 57% of games (home games).

Wolves trading profile (30 games, 14 at away): BTTS occurs in 29% of their matches (away games); Over 2.5 goals lands in 21% of games (away games); they fail to score in 40% of games.

BTTS rates are mixed from the trading data — Newcastle 63% versus Wolves 33%; no strong lean in either direction. Under 2.5 goals has backing from the in-play data — both teams register low Over 2.5 rates (Newcastle 47% | Wolves 33%).

Poisson Model

The Poisson distribution model projects Newcastle 0.95 xG and Wolves 1.20 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: Newcastle attack 0.981 / defence 1.218 | Wolves attack 0.737 / defence 0.863. League average goals — home 1.119 / away 1.337. Data: 30 Newcastle games / 31 Wolves games used (CurrentSeason).

Result probabilities: Newcastle 29% | Draw 29% | Wolves 42%. Fair-value odds: Newcastle 3.45 | Draw 3.45 | Wolves 2.38. This is a low-confidence result — no outcome exceeds 45%. The draw at 29% is a primary outcome, not an afterthought.

Goals markets: Over 2.5 probability 36% | BTTS probability 43% | Total xG 2.15. Under 2.5 has a narrow probability edge at 64% — total xG of 2.15 is below the line but not decisively so. BTTS probability of 43% is moderate — neither team is projected to score with enough certainty to make Yes a clear standalone call.

Summary & Verdict

The Poisson model's primary lean is Wolves at 42% — marginal model lean. With a 29% draw probability, Draw No Bet on Wolves offers a more defensible entry point than the straight win. The opposing side holds a 29% win probability per the model — this is not a banker and should be staked accordingly.

The Poisson model projects 2.15 xG in total — Under 2.5 at 36% — reasonable confidence, supported by form averaging 2.1 goals per game.

On the BTTS market, Poisson puts 43% on No. Form rates corroborate: Newcastle 60% | Wolves 20% BTTS from recent games.

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💡 Key Insights

H2H The H2H record is evenly balanced (0W–0D–1W), with no clear historical advantage.
Goals H2H suggests 3.00 goals/game but Poisson xG is only 2.15 — current-season defences are outperforming historical norms.
BTTS H2H BTTS history (100%) is contradicted by Poisson (43%) — recent defensive form has changed the dynamic.
Form Newcastle Poisson xG (0.95) is below their recent form scoring rate (1.30) — opposition defensive quality is suppressing the model's expectation.
Form Wolves Poisson xG (1.20) exceeds their form scoring rate (0.80) — matchup dynamics are elevating the model's expectation.
Goals Form averages (~1.6 goals/game) and Poisson xG (2.15) both support Under 2.5 goals (64% probability).
Goals Poisson Over 2.5 probability is only 36% — the model points to an Under 2.5 outcome.

🏟️ Match Context

• Fixture: Newcastle vs Wolves | Competition: Premier League, Regular Season - 32 | Venue: St. James' Park • Kick-off: Friday 8 Apr 2022, 20:00 UTC • Data inputs: H2H history, form splits, prediction model signals, and market pricing

📊 Statistical Prediction

• Poisson result probabilities: Newcastle 29% | Draw 29% | Wolves 42% • Poisson goal markets: Over 2.5 36% | BTTS 43% | xG Newcastle 0.95 / Wolves 1.20 • Poisson strength factors: Newcastle attack 0.981 / def 1.218 | Wolves attack 0.737 / def 0.863 | league avg home 1.119 / away 1.337 • Poisson stance: Wolves (42%) — low confidence — close contest

🧮 Prediction Model

0.95

Newcastle xG

Expected Goals

1.20

Wolves xG

29%
29%
42%
Newcastle Draw Wolves

43%

BTTS

63%

Over 1.5

36%

Over 2.5

17%

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.

❓ Frequently Asked Questions

What time does Newcastle vs Wolves kick off?

Newcastle vs Wolves kicked off at 20:00 on Friday 8 April 2022 at St. James' Park.

What was the final score in Newcastle vs Wolves?

Newcastle 1 - 0 Wolves.

Where is Newcastle vs Wolves being played?

The match is being played at St. James' Park.

What competition is Newcastle vs Wolves part of?

Newcastle vs Wolves is a Regular Season - 32 fixture in the Premier League (England).

Who is favourite to win Newcastle vs Wolves?

Our statistical model gives Newcastle a 29% chance of winning, Wolves a 42% chance, and a 29% chance of a draw — making Wolves the favourite.

Will both teams score in Newcastle vs Wolves?

Our model estimates a 43% probability that both Newcastle and Wolves will score (BTTS).

Will Newcastle vs Wolves have over 2.5 goals?

Our model puts the probability of over 2.5 goals in this match at 36%.

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

Record (1 meetings): Newcastle 0W | Draws 0 | Wolves 1W.

What form are Newcastle and Wolves in?

Newcastle (all comps): 6W-1D-3L in 10 | 1.90 PPG | GF 1.30 / GA 1.10 | L5 W-W-L-L-L. Wolves (all comps): 5W-0D-5L in 10 | 1.50 PPG | GF 1.40 / GA 1.10 | L5 L-W-W-L-W.

🧮 Model Insight

Model Mechanics

Newcastle's attacking strength (0.98x league average) is weighed against Wolves's defensive record (0.86x) to produce a home expected-goals figure of 0.95. The same calculation in reverse, Wolves's attack versus Newcastle's defence, projects 1.20 expected goals for the visitors.

These ratings are built from 30/31 games of current-season data — a full enough sample to trust.

Most Likely Scorelines

The model's single most probable exact score is 1-1, at 15.0%. Close behind: 0-0 (13.4%), 0-1 (12.3%). Those top three scorelines alone account for 41% of the model's total probability mass — a relatively concentrated, predictable distribution for this fixture.

Most Likely Outcome

Wolves Win

29%

Newcastle

3.45

29%

Draw

3.42

42%

Wolves

2.39

Top 3 Most Likely Scorelines

0 – 1

14.0%

Away win

Most likely

1 – 1

13.3%

Draw

0 – 0

11.7%

Draw

Expected Goals & Win Odds

0.95

Newcastle xG

Total xG

2.15

1.20

Wolves xG

29%
29%
42%
NewcastleDrawWolves

3.45

29%

Home win

3.42

29%

Draw

2.39

42%

Away win

Goals Markets

63%

Over 1.5

1.59

37%

Under 1.5

2.70

36%

Over 2.5

2.78

64%

Under 2.5

1.56

17%

Over 3.5

5.88

83%

Under 3.5

1.20

7%

Over 4.5

14.29

93%

Under 4.5

1.08

Match Markets

Both Teams to Score

43%

BTTS Yes

2.34

57%

BTTS No

1.75

Clean Sheet

30%

Newcastle

3.32

39%

Wolves

2.58

Win to Nil

9%

Newcastle

11.48

16%

Wolves

6.17

Score Probability Matrix (%)

H \ A 0 1 2 3 4 5
0 11.7 14.0 8.4 3.4 1.0 0.2
1 11.1 13.3 8.0 3.2 1.0 0.2
2 5.2 6.3 3.8 1.5 0.5 0.1
3 1.7 2.0 1.2 0.5 0.1
4 0.4 0.5 0.3 0.1
5 0.1 0.1 0.1

Green = home win Β· Grey = draw Β· Amber = away win Β· White ring = most likely score

Model Internals
λ Home (xG) 0.948
λ Away (xG) 1.201
Total xG 2.149
League avg home goals 1.119
League avg away goals 1.337
Newcastle attack strength 0.981
Newcastle defence strength 1.218
Wolves attack strength 0.737
Wolves defence strength 0.863
Data phase CurrentSeason
Games used (H/A) 30 / 31

❓ Frequently Asked Questions

What is the most likely scoreline for Newcastle vs Wolves?

Our Poisson model rates 1-1 as the single most likely exact scoreline, at 15.0%.

How many goals are Newcastle and Wolves expected to score?

The model projects 0.95 expected goals for Newcastle and 1.20 for Wolves, a combined total of 2.15.

How confident is the prediction model for Newcastle vs Wolves?

Not very — the model's leading outcome sits at just 42%, meaning this is rated as a genuinely open contest with no dominant favourite.

📈 Form Insight

Where Both Sides Stand

Across their last 30 outings, Newcastle have picked up 1.03 PPG on a 7W 10D 13L record — W-W-L-L-L across the most recent five.

Wolves's form line: 15W 4D 11L from 30 games, 1.63 PPG, last five L-W-W-L-W.

Put side by side, Wolves are the form team by 0.60 points per game — a gap wide enough to matter, though form alone rarely tells the whole story against Newcastle.

Home Ground vs the Road

On home soil, Newcastle have posted 1.29 PPG from 14 outings (4W 6D 4L).

On the road, Wolves have gone 8W 2D 4L from 14 away games — 1.86 PPG when travelling.

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

The Goals Picture

Newcastle are averaging 1.10 goals scored and 1.80 conceded per game recently; Wolves are on 1.10 scored and 0.87 conceded.

On BTTS specifically: Newcastle have seen both teams score in 63% of their recent games.

Defensively: Wolves in 37% — worth knowing if you're weighing up clean-sheet or BTTS-No markets.

Last 30 Results — Premier League

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

Newcastle

Newcastle

Current Season
W W L L L
Wolves

Wolves

Current Season
L W W L W
30 Played 30
7/10/13 W / D / L 15/4/11
1.03 Points Per Game 1.63
1.10 Avg Goals Scored 1.10
1.80 Avg Goals Conceded 0.87
2.90 Avg Goals / Game 1.97
4 Clean Sheets 11
19 BTTS 10
14 Over 2.5 Games 10
Newcastle

Newcastle

L
A Tottenham
1–5
03 Apr
L
A Everton
0–1
17 Mar
L
A Chelsea
0–1
13 Mar
W
A Southampton
2–1
10 Mar
W
H Brighton
2–1
05 Mar
W
A Brentford
2–0
26 Feb
D
A West Ham
1–1
19 Feb
W
H Aston Villa
1–0
13 Feb
W
H Everton
3–1
08 Feb
W
A Leeds
1–0
22 Jan
D
H Watford
1–1
15 Jan
D
H Manchester United
1–1
27 Dec
L
H Manchester City
0–4
19 Dec
L
A Liverpool
1–3
16 Dec
L
A Leicester
0–4
12 Dec
W
H Burnley
1–0
04 Dec
D
H Norwich
1–1
30 Nov
L
A Arsenal
0–2
27 Nov
D
H Brentford
3–3
20 Nov
D
A Brighton
1–1
06 Nov
L
H Chelsea
0–3
30 Oct
D
A Crystal Palace
1–1
23 Oct
L
H Tottenham
2–3
17 Oct
L
A Wolves
1–2
02 Oct
D
A Watford
1–1
25 Sep
D
H Leeds
1–1
17 Sep
L
A Manchester United
1–4
11 Sep
D
H Southampton
2–2
28 Aug
L
A Aston Villa
0–2
21 Aug
L
H West Ham
2–4
15 Aug
Wolves

Wolves

W
H Aston Villa
2–1
02 Apr
L
H Leeds
2–3
18 Mar
W
A Everton
1–0
13 Mar
W
H Watford
4–0
10 Mar
L
H Crystal Palace
0–2
05 Mar
L
A West Ham
0–1
27 Feb
L
A Arsenal
1–2
24 Feb
W
H Leicester
2–1
20 Feb
W
A Tottenham
2–0
13 Feb
L
H Arsenal
0–1
10 Feb
W
A Brentford
2–1
22 Jan
W
H Southampton
3–1
15 Jan
W
A Manchester United
1–0
03 Jan
D
H Chelsea
0–0
19 Dec
W
A Brighton
1–0
15 Dec
L
A Manchester City
0–1
11 Dec
L
H Liverpool
0–1
04 Dec
D
H Burnley
0–0
01 Dec
D
A Norwich
0–0
27 Nov
W
H West Ham
1–0
20 Nov
L
A Crystal Palace
0–2
06 Nov
W
H Everton
2–1
01 Nov
D
A Leeds
1–1
23 Oct
W
A Aston Villa
3–2
16 Oct
W
H Newcastle
2–1
02 Oct
W
A Southampton
1–0
26 Sep
L
H Brentford
0–2
18 Sep
W
A Watford
2–0
11 Sep
L
H Manchester United
0–1
29 Aug
L
H Tottenham
0–1
22 Aug

❓ Frequently Asked Questions

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

Newcastle have gone 7W 10D 13L in their last 30 games (1.03 PPG), while Wolves have gone 15W 4D 11L in their last 30 (1.63 PPG).

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

Wolves's away record (1.86 PPG) is the stronger of the two venue-specific splits — Newcastle at home: 1.29 PPG; Wolves away: 1.86 PPG.

Have Newcastle or Wolves been keeping clean sheets recently?

Newcastle have kept a clean sheet in 13% of their recent games, Wolves in 37%.

⚔️ Rivalry Insight

A Look Back

The fixture history between Newcastle and Wolves runs to 10 recorded meetings, the earliest dating back to October 2021. Every recorded meeting has come in Premier League. They last met on 18 January 2026, roughly 6 months ago.

Digging Into the Numbers

The biggest gap between the sides came on 2 Mar 2024, when Newcastle won 3-0 — the largest margin of victory on record between these two.

Newcastle's record when hosting Wolves specifically: 5W 0D 0L from 5 games — a narrower, venue-specific slice of the head-to-head picture.

Last 10 Meetings

Newcastle

6

Newcastle

3

Draws

Wolves

1

Wolves

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

❓ Frequently Asked Questions

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

From 10 meetings on record, Newcastle have won 6, Wolves have won 1, and 3 have been drawn.

When did Newcastle and Wolves last play each other?

They last met on 18 January 2026, when Wolves 0-0 Newcastle.

Who has won more matches between Newcastle and Wolves?

Newcastle have the better head-to-head record, with 6 wins from 10 meetings.

📈 Trading Insight

The Numbers That Matter

BTTS sits in mixed territory for this pairing — Newcastle 71%, Wolves 29% — no strong lean either way from the trading data alone.

Over 2.5 has been close to a coin-flip for both sides — 57% (Newcastle) and 21% (Wolves).

On the defensive side: Wolves in 50%; Wolves in 29%.

📈

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

Newcastle Newcastle Current Season
Metric All
(30 games)
Venue
(14 games)
Half-Time Metrics
1+ Goal Before HT β€” β€”
2+ Goals Before HT β€” β€”
0-0 HT → 1+ Goal 2nd Half β€” β€”
0-0 HT → 2+ Goals 2nd Half β€” β€”
Winning at HT β€” β€”
Lost Lead (Win HT → No Win FT) β€” β€”
Came From Behind (Lose HT → Draw/Win FT) β€” β€”
Full-Time Metrics
BTTS 19/30
(63.3%)
10/14
(71.4%)
Over 2.5 Goals 14/30
(46.7%)
8/14
(57.1%)
Over 3.5 Goals 10/30
(33.3%)
6/14
(42.9%)
Clean Sheet 4/30
(13.3%)
2/14
(14.3%)
Failed to Score 7/30
(23.3%)
2/14
(14.3%)
Wolves Wolves Current Season
Metric All
(30 games)
Venue
(14 games)
Half-Time Metrics
1+ Goal Before HT β€” β€”
2+ Goals Before HT β€” β€”
0-0 HT → 1+ Goal 2nd Half β€” β€”
0-0 HT → 2+ Goals 2nd Half β€” β€”
Winning at HT β€” β€”
Lost Lead (Win HT → No Win FT) β€” β€”
Came From Behind (Lose HT → Draw/Win FT) β€” β€”
Full-Time Metrics
BTTS 10/30
(33.3%)
4/14
(28.6%)
Over 2.5 Goals 10/30
(33.3%)
3/14
(21.4%)
Over 3.5 Goals 4/30
(13.3%)
1/14
(7.1%)
Clean Sheet 11/30
(36.7%)
7/14
(50%)
Failed to Score 12/30
(40%)
4/14
(28.6%)

❓ Frequently Asked Questions

Do both teams usually score when Newcastle play Wolves?

Not especially — both teams scoring has occurred in only 71% of Newcastle's recent matches and 29% of Wolves's, a rate that leans toward BTTS No.

Is Newcastle vs Wolves usually a high-scoring fixture?

Not particularly — Over 2.5 goals has come in for only 57% of Newcastle's recent games and 21% of Wolves's, pointing to a tighter contest.

📰

Shock result as Newcastle defy the odds to beat Wolves 1-0.

📝 Match Report

How It Unfolded

Newcastle beat Wolves 1-0 at St. James' Park, Regular Season - 32, 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 Newcastle 0.95 xG and Wolves 1.20 xG, a combined 2.15. The scoreboard read 1-0 for 1 actual goal. Wolves landed 1.2 under their projected return. Those figures were built on strength ratings of Newcastle attack 0.98 / defence 1.22 against Wolves attack 0.74 / defence 0.86, drawn from 30/31 games (CurrentSeason).

On the result, the model split it Newcastle 29% | Draw 29% | Wolves 42%, with Wolves to win its most likely call at 42%. The actual Newcastle win had been the model's second-ranked read at 29%, so the result diverged from the top call without being a shock.

Goals & Markets

The model rated Over 2.5 goals at 36%. The game delivered 1, so it stayed under — the model's lean was correct. Over 1.5 had been 63% and missed. On both teams to score, the model sat at 43% and the match did not — another call in the model's favour. Historically the two sides average 40% Over 2.5 across their same-competition games (Newcastle 47%, Wolves 33%), a base rate that agreed with today's under. Their combined BTTS history runs at 48%, which matched the one-sided outcome.

Trading Patterns vs Reality

Newcastle's trading profile (30 games, 14 home) set some clear expectations: BTTS lands in 63% of their matches — today it did not.

Wolves's trading profile (30 games, 14 away) set some clear expectations: BTTS lands in 33% of their matches — today it did not; they keep a clean sheet 37% of the time, and conceded here; they fail to score in 40% of games, a blank that repeated today.

Form vs Result

On form, Wolves arrived the stronger side — 1.63 PPG against 1.03. Form was overturned, with Newcastle winning despite arriving in poorer recent shape. Newcastle (home/away splits) conceded 0 against a 1.79 average — tighter than their form line. Wolves (home/away splits) managed 0 against a 1.07 scoring average — below par going forward.

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 — 36% Over 2.5 probability, 1 goal scored.
Model BTTS matched the model — 43% projected, both teams did not both score.
Trading Trading data backed up — the sides average 40% Over 2.5 historically, and this game stayed under.

⚠️ 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.