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Wolves 1-0 Chelsea – Result & Analysis

🎯

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

Premier League · Regular Season - 30

Kick-off

Sat 8 Apr 2023

15:00

Venue

Molineux Stadium

Competition

Premier League

England

Status

FT
💬 Comment 📡 Chat 📝 Notes
📋

Poisson model rates Chelsea at 41%, yet other data sources diverge — this Wolves vs Chelsea fixture contains genuine analytical tension.

✍️ Match Preview

Pre-Match Analysis

Wolves and Chelsea meet at Molineux Stadium in Premier League, Regular Season - 30. This fixture gets under way on Saturday 8 April 2023 at 15:00 UTC.

Form & Momentum

Wolves have collected 1.10 PPG across 10 Premier League outings this season: 3W 2D 5L. Last five: L W L L D. They are averaging 1.10 goals per game and conceding 1.50 — a modest attacking output that tempers optimism on the Over 2.5 market. 2 clean sheets from 10 outings provides some defensive foundation.

Wolves's home record at Molineux Stadium: 4W 0D 6L from 10 Premier League appearances (1.20 PPG). At home they are averaging 1.00 goals scored and 1.50 conceded per game. 4 home clean sheets from 10 games (40%) — a solid defensive base on their own ground. At home, both teams have scored in only 20% of games — reinforcing BTTS No as the home-venue-backed angle.

Chelsea (all games): 2W 5D 3L across 10 Premier League outings this term — 1.10 points per game. Last five: W W D L D. Their scoring rate of 0.70 per game is modest, conceding 0.90 — not a side to back heavily on the Over 2.5 from their form alone. 4 clean sheets in 10 outings (40%) underlines their defensive solidity. Both teams have scored in just 30% of their games, reflecting a regular tendency to keep or record clean sheets.

When travelling in Premier League this season, Chelsea have posted 2W 4D 4L from 10 away outings — 1.00 PPG. Away from home they average 0.90 goals scored and 1.20 conceded per game.

A near-identical PPG reading — 1.10 for Wolves, 1.10 for Chelsea — means the form record is uninstructive on result selection. The goals and market sections will carry greater evidential weight.

Head-to-Head

Neither side has dominated this fixture. The last 3 head-to-head meetings have produced 0 wins for Wolves, 1 for Chelsea and 2 draws — an even split that leaves the H2H largely neutral as a betting input.

The 3 previous meetings have averaged 2.3 goals per game — a neutral rate that provides no strong lean on the goals market from the H2H alone. The most recent clash, on 8 Oct 2022, ended 0–3 with Chelsea winning.

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.

Trading

Wolves half-time and goal-timing data (67 games, 33 at home): BTTS occurs in 33% of their matches (home games); Over 2.5 goals lands in 42% of games (home games); they fail to score in 42% of games.

Chelsea half-time and goal-timing data (67 games, 33 at away): BTTS occurs in 42% of their matches (away games); Over 2.5 goals lands in 48% of games (away games).

BTTS rates are mixed from the trading data — Wolves 39% versus Chelsea 46%; no strong lean in either direction. The over/under 2.5 picture is inconclusive from the in-play data (Wolves 39% | Chelsea 46%).

Poisson Model

The Poisson distribution model projects Wolves 1.04 xG and Chelsea 1.24 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 0.786 / defence 1.135 | Chelsea attack 0.955 / defence 0.892. League average goals — home 1.486 / away 1.142. Wolves's attack strength of 0.786 is below the league average — the 1.04 xG projection reflects a team that scores at a discount to the division norm. Data: 67 Wolves games / 67 Chelsea games used (CurrentSeason).

Result probabilities: Wolves 31% | Draw 28% | Chelsea 41%. Fair-value odds: Wolves 3.23 | Draw 3.57 | Chelsea 2.44. This is a low-confidence result — no outcome exceeds 45%. The draw at 28% is a primary outcome, not an afterthought.

Goals markets: Over 2.5 probability 40% | BTTS probability 46% | Total xG 2.28. Under 2.5 has a narrow probability edge at 60% — total xG of 2.28 is below the line but not decisively so. BTTS probability of 46% is moderate — neither team is projected to score with enough certainty to make Yes a clear standalone call.

Verdict

The Poisson model's primary lean is Chelsea at 41% — marginal model lean. Draw probability of 28% warrants consideration of Double Chance or Draw No Bet on Chelsea if the outright odds are short. The opposing side holds a 31% win probability per the model — this is not a banker and should be staked accordingly.

Poisson projects 2.28 total expected goals, pointing to Under 2.5 at 40% probability — Poisson-only — limited corroboration conviction.

On the BTTS market, Poisson puts 46% on No. Form rates corroborate: Wolves 20% | Chelsea 50% BTTS from recent games.

The outsider holds a 31% win probability per the model — this is not a banker and should not be treated as one. Proportionate stakes are appropriate given the genuine contest the data projects.

🔮 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 (0W–2D–1W), with no clear historical advantage.
Form Chelsea Poisson xG (1.24) exceeds their form scoring rate (0.90) — matchup dynamics are elevating the model's expectation.
Goals Poisson Over 2.5 probability is only 40% — the model points to an Under 2.5 outcome.

🏟️ Match Context

• Fixture: Wolves vs Chelsea | Competition: Premier League, Regular Season - 30 | Venue: Molineux Stadium • Kick-off: Saturday 8 Apr 2023, 15:00 UTC • Data inputs: H2H history, form splits, prediction model signals, and market pricing

📊 Statistical Prediction

• Poisson result probabilities: Wolves 31% | Draw 28% | Chelsea 41% • Poisson goal markets: Over 2.5 40% | BTTS 46% | xG Wolves 1.04 / Chelsea 1.24 • Poisson strength factors: Wolves attack 0.786 / def 1.135 | Chelsea attack 0.955 / def 0.892 | league avg home 1.486 / away 1.142 • Poisson stance: Chelsea (41%) — low confidence — close contest

🧮 Prediction Model

1.04

Wolves xG

Expected Goals

1.24

Chelsea xG

31%
28%
41%
Wolves Draw Chelsea

46%

BTTS

66%

Over 1.5

40%

Over 2.5

20%

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 Wolves vs Chelsea kick off?

Wolves vs Chelsea kicked off at 15:00 on Saturday 8 April 2023 at Molineux Stadium.

What was the final score in Wolves vs Chelsea?

Wolves 1 - 0 Chelsea.

Where is Wolves vs Chelsea being played?

The match is being played at Molineux Stadium.

What competition is Wolves vs Chelsea part of?

Wolves vs Chelsea is a Regular Season - 30 fixture in the Premier League (England).

Who is favourite to win Wolves vs Chelsea?

Our statistical model gives Wolves a 31% chance of winning, Chelsea a 41% chance, and a 28% chance of a draw — making Chelsea the favourite.

Will both teams score in Wolves vs Chelsea?

Our model estimates a 46% probability that both Wolves and Chelsea will score (BTTS).

Will Wolves vs Chelsea have over 2.5 goals?

Our model puts the probability of over 2.5 goals in this match at 40%.

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

Record (3 meetings): Wolves 0W | Draws 2 | Chelsea 1W.

What form are Wolves and Chelsea in?

Wolves (all comps): 3W-2D-5L in 10 | 1.10 PPG | GF 1.10 / GA 1.50 | L5 L-W-L-L-D. Chelsea (all comps): 2W-5D-3L in 10 | 1.10 PPG | GF 0.70 / GA 0.90 | L5 W-W-D-L-D.

🧮 Model Insight

Where the Numbers Come From

The model rates Wolves's attack at 0.79x the league average against Chelsea's defence at 0.89x — combine the two and it projects 1.04 expected goals for the hosts. Flip it around — Chelsea's attack (0.95x) against Wolves's defence (1.14x) — and the away total comes out at 1.24.

These ratings are built from 67/67 games of current-season data — a full enough sample to trust.

Scoreline Breakdown

Of every possible scoreline, 1-1 carries the highest individual probability at 14.9% — still a long way from a near-certainty, which says something about how open this one is on paper. Close behind: 0-0 (12.0%), 0-1 (10.9%). Those top three scorelines alone account for 38% of the model's total probability mass — a relatively concentrated, predictable distribution for this fixture.

Most Likely Outcome

Chelsea Win

31%

Wolves

3.23

28%

Draw

3.53

41%

Chelsea

2.46

Top 3 Most Likely Scorelines

1 – 1

13.2%

Draw

Most likely

0 – 1

12.7%

Away win

1 – 0

10.7%

Home win

Expected Goals & Win Odds

1.04

Wolves xG

Total xG

2.28

1.24

Chelsea xG

31%
28%
41%
WolvesDrawChelsea

3.23

31%

Home win

3.53

28%

Draw

2.46

41%

Away win

Goals Markets

66%

Over 1.5

1.52

34%

Under 1.5

2.94

40%

Over 2.5

2.50

60%

Under 2.5

1.67

20%

Over 3.5

5.00

80%

Under 3.5

1.25

8%

Over 4.5

12.50

92%

Under 4.5

1.09

Match Markets

Both Teams to Score

46%

BTTS Yes

2.18

54%

BTTS No

1.85

Clean Sheet

29%

Wolves

3.45

35%

Chelsea

2.83

Win to Nil

9%

Wolves

11.12

14%

Chelsea

6.97

Score Probability Matrix (%)

H \ A 0 1 2 3 4 5
0 10.2 12.7 7.8 3.2 1.0 0.2
1 10.7 13.2 8.2 3.4 1.0 0.3
2 5.6 6.9 4.3 1.8 0.5 0.1
3 1.9 2.4 1.5 0.6 0.2
4 0.5 0.6 0.4 0.2
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) 1.042
λ Away (xG) 1.237
Total xG 2.279
League avg home goals 1.486
League avg away goals 1.142
Wolves attack strength 0.786
Wolves defence strength 1.135
Chelsea attack strength 0.955
Chelsea defence strength 0.892
Data phase CurrentSeason
Games used (H/A) 67 / 67

❓ Frequently Asked Questions

What is the most likely scoreline for Wolves vs Chelsea?

Our Poisson model rates 1-1 as the single most likely exact scoreline, at 14.9%.

How many goals are Wolves and Chelsea expected to score?

The model projects 1.04 expected goals for Wolves and 1.24 for Chelsea, a combined total of 2.28.

How confident is the prediction model for Wolves vs Chelsea?

Not very — the model's leading outcome sits at just 41%, meaning this is rated as a genuinely open contest with no dominant favourite.

📈 Form Insight

Recent Form Overview

Wolves's recent record stands at 22W 13D 32L from 67 games, a 1.18 PPG return, with L-W-L-L-D in the last five.

Chelsea, meanwhile, have gone 31W 20D 16L across 67 games — 1.69 PPG, with W-W-D-L-D in their last five.

The points-per-game comparison favours Chelsea by 0.51 — a real, if not enormous, edge over Wolves heading into this one.

How They Fare by Venue

At home specifically, Wolves have managed 12W 5D 16L from 33 games — 1.24 PPG in front of their own supporters.

Chelsea's away record stands at 16W 8D 9L across 33 trips, a 1.70 PPG haul.

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

Attack vs Defence

Wolves are averaging 0.91 goals scored and 1.27 conceded per game recently; Chelsea are on 1.57 scored and 0.94 conceded.

Defensively: Chelsea in 39% — worth knowing if you're weighing up clean-sheet or BTTS-No markets.

Last 67 Results — Premier League

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

Wolves

Wolves

Current Season
L W L L D
Chelsea

Chelsea

Current Season
W W D L D
67 Played 67
22/13/32 W / D / L 31/20/16
1.18 Points Per Game 1.69
0.91 Avg Goals Scored 1.57
1.27 Avg Goals Conceded 0.94
2.18 Avg Goals / Game 2.51
18 Clean Sheets 26
26 BTTS 31
26 Over 2.5 Games 31
Wolves

Wolves

D
A Nottingham Forest
1–1
01 Apr
L
H Leeds
2–4
18 Mar
L
A Newcastle
1–2
12 Mar
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
L
H Tottenham
0–1
22 Aug
L
A Leicester
0–1
14 Aug
Chelsea

Chelsea

D
H Liverpool
0–0
04 Apr
L
H Aston Villa
0–2
01 Apr
D
H Everton
2–2
18 Mar
W
A Leicester
3–1
11 Mar
W
H Leeds
1–0
04 Mar
L
A Tottenham
0–2
26 Feb
L
H Southampton
0–1
18 Feb
D
A West Ham
1–1
11 Feb
D
H Fulham
0–0
03 Feb
D
A Liverpool
0–0
21 Jan
W
H Crystal Palace
1–0
15 Jan
L
A Fulham
1–2
12 Jan
L
H Manchester City
0–1
05 Jan
D
A Nottingham Forest
1–1
01 Jan
W
H Bournemouth
2–0
27 Dec
L
A Newcastle
0–1
12 Nov
L
H Arsenal
0–1
06 Nov
L
A Brighton
1–4
29 Oct
D
H Manchester United
1–1
22 Oct
D
A Brentford
0–0
19 Oct
W
A Aston Villa
2–0
16 Oct
W
H Wolves
3–0
08 Oct
W
A Crystal Palace
2–1
01 Oct
W
H West Ham
2–1
03 Sep
L
A Southampton
1–2
30 Aug
W
H Leicester
2–1
27 Aug
L
A Leeds
0–3
21 Aug
D
H Tottenham
2–2
14 Aug
W
A Everton
1–0
06 Aug
W
H Watford
2–1
22 May
D
H Leicester
1–1
19 May
W
A Leeds
3–0
11 May
D
H Wolves
2–2
07 May
L
A Everton
0–1
01 May
D
A Manchester United
1–1
28 Apr
W
H West Ham
1–0
24 Apr
L
H Arsenal
2–4
20 Apr
W
A Southampton
6–0
09 Apr
L
H Brentford
1–4
02 Apr
W
H Newcastle
1–0
13 Mar
W
A Norwich
3–1
10 Mar
W
A Burnley
4–0
05 Mar
W
A Crystal Palace
1–0
19 Feb
W
H Tottenham
2–0
23 Jan
D
A Brighton
1–1
18 Jan
L
A Manchester City
0–1
15 Jan
D
H Liverpool
2–2
02 Jan
D
H Brighton
1–1
29 Dec
W
A Aston Villa
3–1
26 Dec
D
A Wolves
0–0
19 Dec
D
H Everton
1–1
16 Dec
W
H Leeds
3–2
11 Dec
L
A West Ham
2–3
04 Dec
W
A Watford
2–1
01 Dec
D
H Manchester United
1–1
28 Nov
W
A Leicester
3–0
20 Nov
D
H Burnley
1–1
06 Nov
W
A Newcastle
3–0
30 Oct
W
H Norwich
7–0
23 Oct
W
A Brentford
1–0
16 Oct
W
H Southampton
3–1
02 Oct
L
H Manchester City
0–1
25 Sep
W
A Tottenham
3–0
19 Sep
W
H Aston Villa
3–0
11 Sep
D
A Liverpool
1–1
28 Aug
W
A Arsenal
2–0
22 Aug
W
H Crystal Palace
3–0
14 Aug

❓ Frequently Asked Questions

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

Wolves have gone 22W 13D 32L in their last 67 games (1.18 PPG), while Chelsea have gone 31W 20D 16L in their last 67 (1.69 PPG).

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

Chelsea's away record (1.70 PPG) is the stronger of the two venue-specific splits — Wolves at home: 1.24 PPG; Chelsea away: 1.70 PPG.

Have Wolves or Chelsea been keeping clean sheets recently?

Wolves have kept a clean sheet in 27% of their recent games, Chelsea in 39%.

⚔️ Rivalry Insight

The Rivalry So Far

These sides have met 10 times that we have on record, stretching back to December 2021 — a rivalry that has played out across roughly 4 years. Every recorded meeting has come in Premier League. They last met on 7 February 2026, roughly 5 months ago.

Notable Numbers

Chelsea have won the last 4 meetings between these two, a run that gives them the psychological edge coming in.

For context on how one-sided this fixture can get: Chelsea won 2-6 on 25 Aug 2024, the biggest margin either side has managed in the series.

Specifically as hosts in this fixture, Wolves have gone 2W 1D 2L from 5 meetings on their own ground against Chelsea — worth weighing alongside the overall series record.

Last 10 Meetings

Wolves

3

Wolves

2

Draws

Chelsea

5

Chelsea

Recent Meetings

Wolves
1–3
07 Feb 26
Chelsea
Chelsea
3–0
08 Nov 25
Wolves
Chelsea
3–1
20 Jan 25
Wolves
Wolves
2–6
25 Aug 24
Chelsea
Chelsea
2–4
04 Feb 24
Wolves
Wolves
2–1
24 Dec 23
Chelsea
Wolves
1–0
08 Apr 23
Chelsea
Chelsea
3–0
08 Oct 22
Wolves
Chelsea
2–2
07 May 22
Wolves
Wolves
0–0
19 Dec 21
Chelsea

❓ Frequently Asked Questions

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

From 10 meetings on record, Wolves have won 3, Chelsea have won 5, and 2 have been drawn.

When did Wolves and Chelsea last play each other?

They last met on 7 February 2026, when Wolves 1-3 Chelsea.

Who has won more matches between Wolves and Chelsea?

Chelsea have the better head-to-head record, with 5 wins from 10 meetings.

📈 Trading Insight

Full-Time Markets

BTTS sits in mixed territory for this pairing — Wolves 33%, Chelsea 42% — no strong lean either way from the trading data alone.

Over 2.5 has been close to a coin-flip for both sides — 42% (Wolves) and 48% (Chelsea).

On the defensive side: Wolves keep a clean sheet in 30% of their matches; Chelsea in 42%; Wolves have failed to score in 46% of games.

📈

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

Wolves Wolves Current Season
Metric All
(67 games)
Venue
(33 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 26/67
(38.8%)
11/33
(33.3%)
Over 2.5 Goals 26/67
(38.8%)
14/33
(42.4%)
Over 3.5 Goals 10/67
(14.9%)
7/33
(21.2%)
Clean Sheet 18/67
(26.9%)
10/33
(30.3%)
Failed to Score 28/67
(41.8%)
15/33
(45.5%)
Chelsea Chelsea Current Season
Metric All
(67 games)
Venue
(33 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 31/67
(46.3%)
14/33
(42.4%)
Over 2.5 Goals 31/67
(46.3%)
16/33
(48.5%)
Over 3.5 Goals 16/67
(23.9%)
7/33
(21.2%)
Clean Sheet 26/67
(38.8%)
14/33
(42.4%)
Failed to Score 15/67
(22.4%)
8/33
(24.2%)

❓ Frequently Asked Questions

Do both teams usually score when Wolves play Chelsea?

Not especially — both teams scoring has occurred in only 33% of Wolves's recent matches and 42% of Chelsea's, a rate that leans toward BTTS No.

Is Wolves vs Chelsea usually a high-scoring fixture?

Not particularly — Over 2.5 goals has come in for only 42% of Wolves's recent games and 48% of Chelsea's, pointing to a tighter contest.

📰

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

📝 Match Report

How It Unfolded

Wolves beat Chelsea 1-0 at Molineux Stadium, Regular Season - 30, 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 1.04 xG and Chelsea 1.24 xG, a combined 2.28. The scoreboard read 1-0 for 1 actual goal. Chelsea landed 1.2 under their projected return. Those figures were built on strength ratings of Wolves attack 0.79 / defence 1.14 against Chelsea attack 0.95 / defence 0.89, drawn from 67/67 games (CurrentSeason).

On the result, the model split it Wolves 31% | Draw 28% | Chelsea 41%, with Chelsea to win its most likely call at 41%. The actual Wolves win had been the model's second-ranked read at 31%, so the result diverged from the top call without being a shock.

Goals & Markets

The model rated Over 2.5 goals at 40%. The game delivered 1, so it stayed under — the model's lean was correct. Over 1.5 had been 66% and missed. On both teams to score, the model sat at 46% and the match did not — another call in the model's favour. Historically the two sides average 43% Over 2.5 across their same-competition games (Wolves 39%, Chelsea 46%), a base rate that agreed with today's under. Their combined BTTS history runs at 43%, which matched the one-sided outcome.

Trading Patterns vs Reality

Wolves's trading profile (67 games, 33 home) set some clear expectations: BTTS lands in 39% of their matches — today it did not.

Chelsea's trading profile (67 games, 33 away) set some clear expectations: BTTS lands in 46% of their matches — today it did not; they keep a clean sheet 39% of the time, and conceded here.

Form vs Result

On form, Chelsea arrived the stronger side — 1.69 PPG against 1.18. Form was overturned, with Wolves winning despite arriving in poorer recent shape. Wolves (home/away splits) conceded 0 against a 1.33 average — tighter than their form line. Chelsea (home/away splits) managed 0 against a 1.58 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 — 40% Over 2.5 probability, 1 goal scored.
Model BTTS matched the model — 46% projected, both teams did not both score.
Trading Trading data backed up — the sides average 43% 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.