Sign in Register

Wolves 2-1 Tottenham – Result & Analysis

🎯

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

Premier League · Regular Season - 12

Kick-off

Sat 11 Nov 2023

12:30

Venue

Molineux Stadium

Competition

Premier League

England

Status

FT
💬 Comment 📡 Chat 📝 Notes
📋

Poisson rates Tottenham at 48% — current form provides partial corroboration, though signals are mixed in this Wolves vs Tottenham encounter.

✍️ Match Preview

Full Analysis

Molineux Stadium plays host to Wolves versus Tottenham in Premier League, Regular Season - 12. Kick-off: Saturday 11 November 2023 at 12:30 UTC.

Current Form

Wolves's overall Premier League record this term: 3W 3D 4L from 10 games (1.20 PPG). Last five: W D W D L. They are averaging 1.40 goals per game and conceding 1.80 — a modest attacking output that tempers optimism on the Over 2.5 market. 1 clean sheet from 10 outings provides some defensive foundation. Both teams have scored in 90% of their matches — an extremely high rate that makes BTTS Yes a well-supported standalone angle from their form alone. This season is still relatively young for Wolves, so this record blends games from this season and last.

Wolves's home record at Molineux Stadium: 5W 3D 2L from 10 Premier League appearances (1.80 PPG). At home they are averaging 1.40 goals scored and 1.20 conceded per game. 4 home clean sheets from 10 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 1.80 is noticeably stronger than their overall 1.20 — Wolves are significantly better at Molineux Stadium than their overall form suggests.

Tottenham (all games): 8W 1D 1L across 10 Premier League outings this term — 2.50 points per game. Last five: W W W W L. Their attacking form is sharp — 2.10 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. Both teams have scored in 60% of their games — a noteworthy BTTS rate that supports the Yes market. This season is still relatively young for Tottenham, so this record blends games from this season and last.

On the road, Tottenham have gone 5W 2D 3L from 10 away fixtures this term (1.70 PPG). They are averaging 2.30 goals per away game — strong road scoring that makes them a threat even without home support. Both teams have scored in 80% of their away matches — a high BTTS rate on the road that directly informs this fixture. Their away PPG of 1.70 is notably below their overall 2.50 — form away from home has been a clear weakness this season.

Tottenham arrive in superior form — a 1.30 PPG advantage (2.50 vs 1.20) that offsets much of the home-ground benefit. The away side are the form pick, with draw protection the sensible way to manage the home-field uncertainty.

In terms of goals, both squads have been finding the net consistently (using home/away splits) — Wolves have seen both teams score in 60% of their games, Tottenham in 80%. That combined rate is a strong statistical case for BTTS Yes as a standalone play.

Head-to-Head

Form and model data should carry more weight here — the historical record is too balanced to provide a directional steer. From 4 meetings: Wolves 2W, Tottenham 2W, 0D.

Scoring has been limited when these teams have met. The 4 previous contests averaged 1.2 goals, making the Under 2.5 the historically backed angle in the goals market. The most recent clash, on 4 Mar 2023, ended 1–0 with Wolves winning.

With a balanced win record and just 1.2 goals per game historically, the H2H points toward a tight, low-scoring contest. Under 2.5 goals has the strongest statistical grounding from the fixture history regardless of which side wins.

Trading

Wolves half-time and goal-timing data (49 games, 24 at home): BTTS occurs in 38% of their matches (home games); Over 2.5 goals lands in 38% of games (home games); they fail to score in 33% of games.

Tottenham half-time and goal-timing data (49 games, 24 at away): BTTS occurs in 67% of their matches (away games); Over 2.5 goals lands in 62% of games (away games); Over 3.5 in 45%.

BTTS rates are mixed from the trading data — Wolves 47% versus Tottenham 63%; no strong lean in either direction. The over/under 2.5 picture is inconclusive from the in-play data (Wolves 45% | Tottenham 61%).

Poisson Model

The Poisson distribution model projects Wolves 1.48 xG and Tottenham 1.93 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 0.974 / defence 1.098 | Tottenham attack 1.291 / defence 0.954. League average goals — home 1.588 / away 1.360. Tottenham have an above-average attack strength of 1.291 — the away xG of 1.93 is driven by genuine attacking quality on the road. Data: 49 Wolves games / 49 Tottenham games used (CurrentSeason).

Result probabilities: Wolves 30% | Draw 22% | Tottenham 48%. Fair-value odds: Wolves 3.33 | Draw 4.55 | Tottenham 2.08. Tottenham hold a narrow Poisson edge at 48% — the draw (22%) is close enough to merit draw-inclusive market consideration.

Goals markets: Over 2.5 probability 66% | BTTS probability 66% | Total xG 3.40. Over 2.5 is the model's clear signal at 66% — a total xG of 3.40 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 66% reflects that both xG figures (1.48 / 1.93) are above the threshold where scoring blanks become the primary outcome — both sides are projected to find the net.

Final Verdict

Poisson rates Tottenham as the most likely outcome at 48% — moderate model lean. Current-season form corroborates the Poisson lean — partial multi-source support. Draw probability of 22% warrants consideration of Double Chance or Draw No Bet on Tottenham if the outright odds are short. The opposing side holds a 30% win probability per the model — this is not a banker and should be staked accordingly.

The Poisson model projects 3.40 xG in total — Over 2.5 at 66% — marginal — conflicting signals confidence, supported by form averaging 3.5 goals per game — though H2H averaging only 1.2 goals per meeting points in the other direction.

Poisson assigns a 66% probability to BTTS Yes based on the attack/defence strength model. Form rates corroborate: Wolves 60% | Tottenham 80% 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 (2W–0D–2W), with no clear historical advantage.
Goals H2H only shows 1.25 goals/game but Poisson xG is 3.40 — this season's attack strength ratings are elevating the goal expectation.
Form Tottenham lead on PPG: 2.50 vs 1.20 — in-form visitors may prove difficult to contain.
Form Tottenham Poisson xG (1.93) is below their form scoring rate (2.30) — home defensive strength is discounting away goal expectation.
BTTS BTTS Yes is supported by both form (Wolves 6/10, Tottenham 8/10) and Poisson model (66%).
Form Form and Poisson model both favour Tottenham — Tottenham at 48% win probability.
Goals Poisson Over 2.5 probability is 66% — the model favours goals in this fixture.
BTTS Poisson BTTS probability is 66% — model favours both teams scoring.

🏟️ Match Context

• Fixture: Wolves vs Tottenham | Competition: Premier League, Regular Season - 12 | Venue: Molineux Stadium • Kick-off: Saturday 11 Nov 2023, 12:30 UTC • Data inputs: H2H history, form splits, prediction model signals, and market pricing

📊 Statistical Prediction

• Poisson result probabilities: Wolves 30% | Draw 22% | Tottenham 48% • Poisson goal markets: Over 2.5 66% | BTTS 66% | xG Wolves 1.48 / Tottenham 1.93 • Poisson strength factors: Wolves attack 0.974 / def 1.098 | Tottenham attack 1.291 / def 0.954 | league avg home 1.588 / away 1.360 • Poisson stance: Tottenham (48%) — moderate lean

🧮 Prediction Model

1.48

Wolves xG

Expected Goals

1.93

Tottenham xG

30%
22%
48%
Wolves Draw Tottenham

66%

BTTS

85%

Over 1.5

66%

Over 2.5

44%

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 Tottenham kick off?

Wolves vs Tottenham kicked off at 12:30 on Saturday 11 November 2023 at Molineux Stadium.

What was the final score in Wolves vs Tottenham?

Wolves 2 - 1 Tottenham.

Where is Wolves vs Tottenham being played?

The match is being played at Molineux Stadium.

What competition is Wolves vs Tottenham part of?

Wolves vs Tottenham is a Regular Season - 12 fixture in the Premier League (England).

Who is favourite to win Wolves vs Tottenham?

Our statistical model gives Wolves a 30% chance of winning, Tottenham a 48% chance, and a 22% chance of a draw — making Tottenham the favourite.

Will both teams score in Wolves vs Tottenham?

Our model estimates a 66% probability that both Wolves and Tottenham will score (BTTS).

Will Wolves vs Tottenham have over 2.5 goals?

Our model puts the probability of over 2.5 goals in this match at 66%.

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

Record (4 meetings): Wolves 2W | Draws 0 | Tottenham 2W.

What form are Wolves and Tottenham in?

Wolves (all comps): 3W-3D-4L in 10 | 1.20 PPG | GF 1.40 / GA 1.80 | L5 W-D-W-D-L. Tottenham (all comps): 8W-1D-1L in 10 | 2.50 PPG | GF 2.10 / GA 1.10 | L5 W-W-W-W-L.

🧮 Model Insight

Behind the Numbers

The model rates Wolves's attack at 0.97x the league average against Tottenham's defence at 0.95x — combine the two and it projects 1.48 expected goals for the hosts. Flip it around — Tottenham's attack (1.29x) against Wolves's defence (1.10x) — and the away total comes out at 1.93.

These ratings are built from 49/49 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 10.7% — still a long way from a near-certainty, which says something about how open this one is on paper. Close behind: 1-2 (9.1%), 2-1 (7.0%). Together the top three scorelines make up 27% of the probability — a moderately spread distribution, typical of a competitive match-up.

Most Likely Outcome

Tottenham Win

30%

Wolves

3.37

22%

Draw

4.53

48%

Tottenham

2.07

Top 3 Most Likely Scorelines

1 – 1

9.5%

Draw

Most likely

1 – 2

9.1%

Away win

2 – 1

7.0%

Home win

Expected Goals & Win Odds

1.48

Wolves xG

Total xG

3.40

1.93

Tottenham xG

30%
22%
48%
WolvesDrawTottenham

3.37

30%

Home win

4.53

22%

Draw

2.07

48%

Away win

Goals Markets

85%

Over 1.5

1.18

15%

Under 1.5

6.67

66%

Over 2.5

1.52

34%

Under 2.5

2.94

44%

Over 3.5

2.27

56%

Under 3.5

1.79

26%

Over 4.5

3.85

74%

Under 4.5

1.35

Match Markets

Both Teams to Score

66%

BTTS Yes

1.52

34%

BTTS No

2.93

Clean Sheet

15%

Wolves

6.87

23%

Tottenham

4.37

Win to Nil

4%

Wolves

23.17

11%

Tottenham

9.05

Score Probability Matrix (%)

H \ A 0 1 2 3 4 5
0 3.3 6.4 6.2 4.0 1.9 0.7
1 4.9 9.5 9.1 5.9 2.8 1.1
2 3.6 7.0 6.7 4.3 2.1 0.8
3 1.8 3.4 3.3 2.1 1.0 0.4
4 0.7 1.3 1.2 0.8 0.4 0.1
5 0.2 0.4 0.4 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) 1.475
λ Away (xG) 1.927
Total xG 3.402
League avg home goals 1.588
League avg away goals 1.360
Wolves attack strength 0.974
Wolves defence strength 1.098
Tottenham attack strength 1.291
Tottenham defence strength 0.954
Data phase CurrentSeason
Games used (H/A) 49 / 49

❓ Frequently Asked Questions

What is the most likely scoreline for Wolves vs Tottenham?

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

How many goals are Wolves and Tottenham expected to score?

The model projects 1.48 expected goals for Wolves and 1.93 for Tottenham, a combined total of 3.40.

How confident is the prediction model for Wolves vs Tottenham?

Not very — the model's leading outcome sits at just 48%, meaning this is rated as a genuinely open contest with no dominant favourite.

📈 Form Insight

The Form Picture

Wolves's recent record stands at 14W 11D 24L from 49 games, a 1.08 PPG return, with W-D-W-D-L in the last five. The sample for Wolves is still a mix of this season and last, given how young the current campaign is.

Tottenham, meanwhile, have gone 26W 8D 15L across 49 games — 1.76 PPG, with W-W-W-W-L in their last five. The sample for Tottenham is still a mix of this season and last, given how young the current campaign is.

The points-per-game comparison favours Tottenham by 0.68 — a real, if not enormous, edge over Wolves heading into this one.

Home & Away Splits

At home specifically, Wolves have managed 10W 5D 9L from 24 games — 1.46 PPG in front of their own supporters.

Tottenham's away record stands at 10W 6D 8L across 24 trips, a 1.50 PPG haul.

Scoring & Defensive Trends

Wolves are averaging 0.92 goals scored and 1.57 conceded per game recently; Tottenham are on 1.90 scored and 1.55 conceded.

On BTTS specifically: Tottenham in 63%.

Last 49 Results — Premier League

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

Wolves

Wolves

Blended
W D W D L
Tottenham

Tottenham

Blended
W W W W L
49 Played 49
14/11/24 W / D / L 26/8/15
1.08 Points Per Game 1.76
0.92 Avg Goals Scored 1.90
1.57 Avg Goals Conceded 1.55
2.49 Avg Goals / Game 3.45
12 Clean Sheets 14
23 BTTS 31
22 Over 2.5 Games 30
Wolves

Wolves

L
A Sheffield Utd
1–2
04 Nov
D
H Newcastle
2–2
28 Oct
W
A Bournemouth
2–1
21 Oct
D
H Aston Villa
1–1
08 Oct
W
H Manchester City
2–1
30 Sep
D
A Luton
1–1
23 Sep
L
H Liverpool
1–3
16 Sep
L
A Crystal Palace
2–3
03 Sep
W
A Everton
1–0
26 Aug
L
H Brighton
1–4
19 Aug
L
A Manchester United
0–1
14 Aug
L
A Arsenal
0–5
28 May
D
H Everton
1–1
20 May
L
A Manchester United
0–2
13 May
W
H Aston Villa
1–0
06 May
L
A Brighton
0–6
29 Apr
W
H Crystal Palace
2–0
25 Apr
L
A Leicester
1–2
22 Apr
W
H Brentford
2–0
15 Apr
W
H Chelsea
1–0
08 Apr
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
Tottenham

Tottenham

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

❓ Frequently Asked Questions

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

Wolves have gone 14W 11D 24L in their last 49 games (1.08 PPG), while Tottenham have gone 26W 8D 15L in their last 49 (1.76 PPG).

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

Tottenham's away record (1.50 PPG) is the stronger of the two venue-specific splits — Wolves at home: 1.46 PPG; Tottenham away: 1.50 PPG.

⚔️ Rivalry Insight

History of the Fixture

On record, these two have faced off 10 times since August 2021 — enough meetings to establish some real patterns. Every recorded meeting has come in Premier League. They last met on 25 April 2026, roughly 3 months ago.

Records & Recent Trends

Specifically as hosts in this fixture, Wolves have gone 3W 0D 2L from 5 meetings on their own ground against Tottenham — worth weighing alongside the overall series record.

Last 10 Meetings

Wolves

5

Wolves

2

Draws

Tottenham

3

Tottenham

Recent Meetings

Wolves
0–1
25 Apr 26
Tottenham
Tottenham
1–1
27 Sep 25
Wolves
Wolves
4–2
13 Apr 25
Tottenham
Tottenham
2–2
29 Dec 24
Wolves
Tottenham
1–2
17 Feb 24
Wolves
Wolves
2–1
11 Nov 23
Tottenham
Wolves
1–0
04 Mar 23
Tottenham
Tottenham
1–0
20 Aug 22
Wolves
Tottenham
0–2
13 Feb 22
Wolves
Wolves
0–1
22 Aug 21
Tottenham

❓ Frequently Asked Questions

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

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

When did Wolves and Tottenham last play each other?

They last met on 25 April 2026, when Wolves 0-1 Tottenham.

Who has won more matches between Wolves and Tottenham?

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

📈 Trading Insight

Goals & Clean Sheets

BTTS sits in mixed territory for this pairing — Wolves 38%, Tottenham 67% — no strong lean either way from the trading data alone.

Over 2.5 has been close to a coin-flip for both sides — 38% (Wolves) and 62% (Tottenham).

On the defensive side: Wolves keep a clean sheet in 42% of their matches.

📈

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

Wolves Wolves Blended
Metric All
(49 games)
Venue
(24 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 23/49
(46.9%)
9/24
(37.5%)
Over 2.5 Goals 22/49
(44.9%)
9/24
(37.5%)
Over 3.5 Goals 9/49
(18.4%)
6/24
(25%)
Clean Sheet 12/49
(24.5%)
10/24
(41.7%)
Failed to Score 16/49
(32.7%)
6/24
(25%)
Tottenham Tottenham Blended
Metric All
(49 games)
Venue
(24 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 31/49
(63.3%)
16/24
(66.7%)
Over 2.5 Goals 30/49
(61.2%)
15/24
(62.5%)
Over 3.5 Goals 22/49
(44.9%)
13/24
(54.2%)
Clean Sheet 14/49
(28.6%)
6/24
(25%)
Failed to Score 4/49
(8.2%)
2/24
(8.3%)

❓ Frequently Asked Questions

Do both teams usually score when Wolves play Tottenham?

Not especially — both teams scoring has occurred in only 38% of Wolves's recent matches and 67% of Tottenham's, a rate that leans toward BTTS No.

Is Wolves vs Tottenham usually a high-scoring fixture?

Not particularly — Over 2.5 goals has come in for only 38% of Wolves's recent games and 62% of Tottenham's, pointing to a tighter contest.

📰

Shock result as Wolves defy the odds to beat Tottenham 2-1.

📝 Match Report

How It Unfolded

Wolves beat Tottenham 2-1 at Molineux Stadium, Regular Season - 12, in the Premier League. With the result on the board, the sections below measure it against everything the model and the numbers projected in advance.

The Model vs The Result

The Poisson model went into this projecting Wolves 1.48 xG and Tottenham 1.93 xG, a combined 3.40. The scoreboard read 2-1 for 3 actual goals. Tottenham landed 0.9 under their projected return. Those figures were built on strength ratings of Wolves attack 0.97 / defence 1.10 against Tottenham attack 1.29 / defence 0.95, drawn from 49/49 games (CurrentSeason).

On the result, the model split it Wolves 30% | Draw 22% | Tottenham 48%, with Tottenham to win its most likely call at 48%. The actual Wolves win had been the model's second-ranked read at 30%, so the result diverged from the top call without being a shock.

Goals & Markets

The model rated Over 2.5 goals at 66%. The game delivered 3, so it went over — a call the model got right. Over 1.5 had been 85% and landed. Over 3.5 was 44% and did not. On both teams to score, the model sat at 66% and the match saw both sides score — another call in the model's favour. Historically the two sides average 53% Over 2.5 across their same-competition games (Wolves 45%, Tottenham 61%), a base rate that agreed with today's over. Their combined BTTS history runs at 55%, which matched the both-scored outcome.

Trading Patterns vs Reality

Wolves's trading profile (49 games, 24 home) set some clear expectations: BTTS lands in 47% of their matches — today it did.

Tottenham's trading profile (49 games, 24 away) set some clear expectations: BTTS lands in 63% of their matches — today it did.

Form vs Result

On form, Tottenham arrived the stronger side — 1.76 PPG against 1.08. Form was overturned, with Wolves winning despite arriving in poorer recent shape. Wolves (home/away splits) scored 2 against a 1.08 average — above their attacking norm. Tottenham (home/away splits) managed 1 against a 1.88 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). The model got the gist right while missing on the margins.

💡 Key Insights

Model Over/Under 2.5 landed as modelled — 66% Over 2.5 probability, 3 goals scored.
Model BTTS matched the model — 66% projected, both teams scored.
Trading Trading data backed up — the sides average 53% Over 2.5 historically, and this game went over.

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