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Newcastle 2-1 Wolves – Result & Analysis

🎯

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Premier League · Regular Season - 27

Kick-off

Sun 12 Mar 2023

16:30

Venue

St. James' Park

Competition

Premier League

England

Status

FT
💬 Comment 📡 Chat 📝 Notes
📋

Poisson model rates Newcastle at 47%, 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 - 27. Kick-off is scheduled for Sunday 12 March 2023 at 16:30 UTC.

Form Guide

Newcastle — All Games: 3W 5D 2L from 10 Premier League outings this season, averaging 1.40 points per game. Last five: D D D L L. They are averaging 0.70 goals per game and conceding 0.60 — a modest attacking output that tempers optimism on the Over 2.5 market. Defensively, conceding just 0.60 per game is an exceptional defensive record — one of the tightest in the division. 6 clean sheets from 10 games (60%) is a standout defensive return — they are keeping their net clean in more than half their matches. Both teams have scored in only 20% of their games — a low BTTS rate that suggests clean sheets are a regular occurrence. This season is still relatively young for Newcastle, so this record blends games from this season and last.

At home at St. James' Park, Newcastle have gone 5W 4D 1L this season (10 games, 1.90 PPG). At home they are averaging 1.40 goals scored and 0.50 conceded per game. 6 clean sheets from 10 home games (60%) — they are an exceptionally hard side to score against at St. James' Park. At home, both teams have scored in only 30% of games — reinforcing BTTS No as the home-venue-backed angle. Their home PPG of 1.90 is noticeably stronger than their overall 1.40 — Newcastle are significantly better at St. James' Park than their overall form suggests.

Across all Premier League games this season, Wolves have recorded 4W 2D 4L from 10 outings — 1.40 PPG. Last five: W L D L W. Their scoring rate of 0.90 per game is modest, conceding 1.00 — 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. Both teams have scored in just 30% of their games, reflecting a regular tendency to keep or record clean sheets. This season is still relatively young for Wolves, so this record blends games from this season and last.

Wolves's away record: 2W 3D 5L from 10 road trips in Premier League this season (0.90 PPG). Away from home they average 0.80 goals scored and 1.70 conceded per game. BTTS has landed in 60% of their away games — meaningful support for the Yes angle in this specific context.

There is minimal separation in the form figures — Newcastle at 1.40 PPG versus Wolves's 1.40. 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 3 previous meetings, Newcastle have won 1, Wolves 1, with 1 draws — a balanced ledger that offers no obvious directional steer on its own.

The 3 previous meetings have averaged 2.0 goals per game — a neutral rate that provides no strong lean on the goals market from the H2H alone. The most recent clash, on 28 Aug 2022, ended 1–1 with a draw.

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

In-Play Data

Newcastle trading profile (62 games, 31 at home): BTTS occurs in 48% of their matches (home games); Over 2.5 goals lands in 39% of games (home games).

Wolves trading profile (62 games, 31 at away): BTTS occurs in 42% of their matches (away games); Over 2.5 goals lands in 36% of games (away games); they fail to score in 42% of games.

BTTS rates are mixed from the trading data — Newcastle 50% versus Wolves 37%; no strong lean in either direction. The over/under 2.5 picture is inconclusive from the in-play data (Newcastle 42% | Wolves 39%).

Poisson Model

The Poisson distribution model projects Newcastle 1.27 xG and Wolves 0.83 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 0.873 / defence 0.899 | Wolves attack 0.858 / defence 1.010. League average goals — home 1.442 / away 1.073. Data: 62 Newcastle games / 64 Wolves games used (CurrentSeason).

Result probabilities: Newcastle 47% | Draw 29% | Wolves 24%. Fair-value odds: Newcastle 2.13 | Draw 3.45 | Wolves 4.17. Newcastle hold a narrow Poisson edge at 47% — the draw (29%) is close enough to merit draw-inclusive market consideration.

Goals markets: Over 2.5 probability 35% | BTTS probability 41% | Total xG 2.10. Under 2.5 is the strongly backed market at 65% probability — total xG of 2.10 sits well below the 2.5 threshold. The model is projecting a tight, low-scoring match based on both sides' defensive quality. BTTS probability of 41% 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 Newcastle at 47% — moderate model lean. With a 29% draw probability, Draw No Bet on Newcastle offers a more defensible entry point than the straight win.

The Poisson model projects 2.10 xG in total — Under 2.5 at 35% — reasonable confidence, supported by form averaging 2.2 goals per game.

On the BTTS market, Poisson puts 41% on No. Form rates corroborate: Newcastle 30% | Wolves 60% BTTS from recent games.

🔮 Your Prediction

Sign in to submit your prediction and see how it compares to the rest of the community.

💡 Key Insights

H2H The H2H record is evenly balanced (1W–1D–1W), with no clear historical advantage.
BTTS H2H BTTS history (67%) is contradicted by Poisson (41%) — recent defensive form has changed the dynamic.
Goals Form averages (~1.6 goals/game) and Poisson xG (2.10) both support Under 2.5 goals (65% probability).
Goals Poisson Over 2.5 probability is only 35% — the model points to an Under 2.5 outcome.

🏟️ Match Context

• Fixture: Newcastle vs Wolves | Competition: Premier League, Regular Season - 27 | Venue: St. James' Park • Kick-off: Sunday 12 Mar 2023, 16:30 UTC • Data inputs: H2H history, form splits, prediction model signals, and market pricing

📊 Statistical Prediction

• Poisson result probabilities: Newcastle 47% | Draw 29% | Wolves 24% • Poisson goal markets: Over 2.5 35% | BTTS 41% | xG Newcastle 1.27 / Wolves 0.83 • Poisson strength factors: Newcastle attack 0.873 / def 0.899 | Wolves attack 0.858 / def 1.010 | league avg home 1.442 / away 1.073 • Poisson stance: Newcastle (47%) — moderate lean

🧮 Prediction Model

1.27

Newcastle xG

Expected Goals

0.83

Wolves xG

47%
29%
24%
Newcastle Draw Wolves

41%

BTTS

62%

Over 1.5

35%

Over 2.5

16%

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 16:30 on Sunday 12 March 2023 at St. James' Park.

What was the final score in Newcastle vs Wolves?

Newcastle 2 - 1 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 - 27 fixture in the Premier League (England).

Who is favourite to win Newcastle vs Wolves?

Our statistical model gives Newcastle a 47% chance of winning, Wolves a 24% chance, and a 29% chance of a draw — making Newcastle the favourite.

Will both teams score in Newcastle vs Wolves?

Our model estimates a 41% 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 35%.

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

Record (3 meetings): Newcastle 1W | Draws 1 | Wolves 1W.

What form are Newcastle and Wolves in?

Newcastle (all comps): 3W-5D-2L in 10 | 1.40 PPG | GF 0.70 / GA 0.60 | L5 D-D-D-L-L. Wolves (all comps): 4W-2D-4L in 10 | 1.40 PPG | GF 0.90 / GA 1.00 | L5 W-L-D-L-W.

🧮 Model Insight

Model Mechanics

Newcastle's attacking strength (0.87x league average) is weighed against Wolves's defensive record (1.01x) to produce a home expected-goals figure of 1.27. The same calculation in reverse, Wolves's attack versus Newcastle's defence, projects 0.83 expected goals for the visitors.

These ratings are built from 62/64 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 14.6%. Close behind: 0-0 (13.9%), 1-0 (13.9%). Those top three scorelines alone account for 42% of the model's total probability mass — a relatively concentrated, predictable distribution for this fixture.

Most Likely Outcome

Newcastle Win

47%

Newcastle

2.14

29%

Draw

3.45

24%

Wolves

4.13

Top 3 Most Likely Scorelines

1 – 0

15.6%

Home win

Most likely

1 – 1

12.9%

Draw

0 – 0

12.2%

Draw

Expected Goals & Win Odds

1.27

Newcastle xG

Total xG

2.10

0.83

Wolves xG

47%
29%
24%
NewcastleDrawWolves

2.14

47%

Home win

3.45

29%

Draw

4.13

24%

Away win

Goals Markets

62%

Over 1.5

1.61

38%

Under 1.5

2.63

35%

Over 2.5

2.86

65%

Under 2.5

1.54

16%

Over 3.5

6.25

84%

Under 3.5

1.19

6%

Over 4.5

16.67

94%

Under 4.5

1.06

Match Markets

Both Teams to Score

41%

BTTS Yes

2.47

59%

BTTS No

1.68

Clean Sheet

44%

Newcastle

2.29

28%

Wolves

3.57

Win to Nil

20%

Newcastle

4.89

7%

Wolves

14.73

Score Probability Matrix (%)

H \ A 0 1 2 3 4 5
0 12.2 10.1 4.2 1.2 0.2
1 15.6 12.9 5.3 1.5 0.3 0.1
2 9.9 8.2 3.4 0.9 0.2
3 4.2 3.5 1.4 0.4 0.1
4 1.3 1.1 0.5 0.1
5 0.3 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) 1.272
λ Away (xG) 0.828
Total xG 2.100
League avg home goals 1.442
League avg away goals 1.073
Newcastle attack strength 0.873
Newcastle defence strength 0.899
Wolves attack strength 0.858
Wolves defence strength 1.010
Data phase CurrentSeason
Games used (H/A) 62 / 64

❓ 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 14.6%.

How many goals are Newcastle and Wolves expected to score?

The model projects 1.27 expected goals for Newcastle and 0.83 for Wolves, a combined total of 2.10.

How confident is the prediction model for Newcastle vs Wolves?

Not very — the model's leading outcome sits at just 47%, meaning this is rated as a genuinely open contest with no dominant favourite.

📈 Form Insight

Where Both Sides Stand

Across their last 62 outings, Newcastle have picked up 1.45 PPG on a 23W 21D 18L record — D-D-D-L-L across the most recent five. The sample for Newcastle is still a mix of this season and last, given how young the current campaign is.

Wolves's form line: 22W 12D 28L from 62 games, 1.26 PPG, last five W-L-D-L-W. The sample for Wolves is still a mix of this season and last, given how young the current campaign is.

Form-wise this is close to level: Newcastle on 1.45 PPG, Wolves on 1.26. Other factors will likely decide this one more than recent results.

Home Ground vs the Road

On home soil, Newcastle have posted 1.71 PPG from 31 outings (14W 11D 6L).

On the road, Wolves have gone 10W 7D 14L from 31 away games — 1.19 PPG when travelling.

Comparing the two in their relevant venue splits, Newcastle 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 1.27 goals scored and 1.27 conceded per game recently; Wolves are on 0.92 scored and 1.23 conceded.

Last 62 Results — Premier League

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

Newcastle

Newcastle

Blended
D D D L L
Wolves

Wolves

Blended
W L D L W
62 Played 62
23/21/18 W / D / L 22/12/28
1.45 Points Per Game 1.26
1.27 Avg Goals Scored 0.92
1.27 Avg Goals Conceded 1.23
2.55 Avg Goals / Game 2.15
20 Clean Sheets 18
31 BTTS 23
26 Over 2.5 Games 24
Newcastle

Newcastle

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

❓ Frequently Asked Questions

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

Newcastle have gone 23W 21D 18L in their last 62 games (1.45 PPG), while Wolves have gone 22W 12D 28L in their last 62 (1.26 PPG).

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

Newcastle's home record (1.71 PPG) is the stronger of the two venue-specific splits — Newcastle at home: 1.71 PPG; Wolves away: 1.19 PPG.

Have Newcastle or Wolves been keeping clean sheets recently?

Newcastle have kept a clean sheet in 32% of their recent games, Wolves in 29%.

⚔️ 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 48%, Wolves 42% — no strong lean either way from the trading data alone.

Over 2.5 has been close to a coin-flip for both sides — 39% (Newcastle) and 36% (Wolves).

On the defensive side: Newcastle keep a clean sheet in 39% of their matches; Wolves in 39%.

📈

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 Blended
Metric All
(62 games)
Venue
(31 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 31/62
(50%)
15/31
(48.4%)
Over 2.5 Goals 26/62
(41.9%)
12/31
(38.7%)
Over 3.5 Goals 16/62
(25.8%)
9/31
(29%)
Clean Sheet 20/62
(32.3%)
12/31
(38.7%)
Failed to Score 17/62
(27.4%)
6/31
(19.4%)
Wolves Wolves Blended
Metric All
(62 games)
Venue
(31 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 23/62
(37.1%)
13/31
(41.9%)
Over 2.5 Goals 24/62
(38.7%)
11/31
(35.5%)
Over 3.5 Goals 9/62
(14.5%)
3/31
(9.7%)
Clean Sheet 18/62
(29%)
8/31
(25.8%)
Failed to Score 26/62
(41.9%)
12/31
(38.7%)

❓ Frequently Asked Questions

Do both teams usually score when Newcastle play Wolves?

Not especially — both teams scoring has occurred in only 48% of Newcastle's recent matches and 42% 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 39% of Newcastle's recent games and 36% of Wolves's, pointing to a tighter contest.

📰

Prediction vindicated as Newcastle edge out Wolves 2-1.

📝 Match Report

How It Unfolded

Newcastle beat Wolves 2-1 at St. James' Park, Regular Season - 27, 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 1.27 xG and Wolves 0.83 xG, a combined 2.10. The scoreboard read 2-1 for 3 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 Newcastle attack 0.87 / defence 0.90 against Wolves attack 0.86 / defence 1.01, drawn from 62/64 games (CurrentSeason).

On the result, the model split it Newcastle 47% | Draw 29% | Wolves 24%, with Newcastle to win its most likely call at 47%. The scoreboard confirmed the model's leading pick.

Goals & Markets

The model rated Over 2.5 goals at 35%. The game delivered 3, so it went over — a miss for the goals model. Over 1.5 had been 62% and landed. On both teams to score, the model sat at 41% and the match saw both sides score — a miss on BTTS. Historically the two sides average 40% Over 2.5 across their same-competition games (Newcastle 42%, Wolves 39%), a base rate that pointed the other way from today's over. Their combined BTTS history runs at 44%, which did not match the both-scored outcome.

Trading Patterns vs Reality

Newcastle's trading profile (62 games, 31 home) set some clear expectations: BTTS lands in 50% of their matches — today it did; they keep a clean sheet 32% of the time, and conceded here.

Wolves's trading profile (62 games, 31 away) set some clear expectations: BTTS lands in 37% of their matches — today it did.

Form vs Result

The form lines were close — Newcastle 1.45 PPG, Wolves 1.26 PPG — offering no strong steer, and the Newcastle win broke the near-deadlock. Wolves (home/away splits) shipped 2 against a 1.19 concession average — a leakier day than usual.

Verdict

Grading the result against the stored data, 1 of 3 pre-match signals came in: result (hit), Over 2.5 (miss), BTTS (miss). A poor return for the projections: the match defied the majority of what the numbers expected.

💡 Key Insights

Model Goals market defied the model — 35% Over 2.5 probability, but 3 goals scored.
Model BTTS bucked the model — 41% projected, both teams scored.
Trading Trading data bucked — 40% 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.