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Tottenham 1-2 Wolves – Result & Analysis

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Premier League · Regular Season - 25

Kick-off

Sat 17 Feb 2024

15:00

Venue

Tottenham Hotspur Stadium

Competition

Premier League

England

Status

FT
💬 Comment 📡 Chat 📝 Notes
📋

Poisson model rates Tottenham at 46%, yet other data sources diverge — this Tottenham vs Wolves fixture contains genuine analytical tension.

✍️ Match Preview

Pre-Match Analysis

Tottenham and Wolves meet at Tottenham Hotspur Stadium in Premier League, Regular Season - 25. This fixture gets under way on Saturday 17 February 2024 at 15:00 UTC.

Form

Tottenham (all games): 6W 2D 2L across 10 Premier League fixtures this term — 2.00 PPG. Last five: W D W D W. They are averaging 2.30 goals per game — a high-scoring output that makes them a genuine attacking threat in any fixture. 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 Tottenham, so this record blends games from this season and last.

In front of their own supporters this season, Tottenham have posted 7W 0D 3L at Tottenham Hotspur Stadium — 2.10 PPG. They are averaging 2.10 goals per home game — a prolific scoring rate in front of their own fans. Both teams have scored in 90% of their home games — an outstanding BTTS rate that is a key data point for this fixture.

Wolves have collected 1.70 PPG across 10 Premier League outings this season: 5W 2D 3L. Last five: W D L W L. They are scoring at 1.80 per game and conceding 1.40. 3 clean sheets from 10 outings suggests some defensive organisation. This season is still relatively young for Wolves, so this record blends games from this season and last.

Wolves's away record: 3W 2D 5L from 10 road trips in Premier League this season (1.10 PPG). Away from home they average 1.70 goals scored and 1.80 conceded per game. 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 1.10 is notably below their overall 1.70 — form away from home has been a clear weakness this season.

Both sides are running at similar form levels — 2.00 PPG for Tottenham against 1.70 for Wolves. There is no clear form edge to exploit here; other signals need to take the lead.

The BTTS picture is exceptionally clear (using home/away splits) — Tottenham register both teams scoring in 90% of relevant games, Wolves in 80%. Both sides above 70% makes BTTS Yes one of the strongest standalone angles in this fixture.

H2H Analysis

Neither side has dominated this fixture. The last 5 head-to-head meetings have produced 2 wins for Tottenham, 3 for Wolves and 0 draws — an even split that leaves the H2H largely neutral as a betting input.

Scoring has been limited when these teams have met. The 5 previous contests averaged 1.6 goals, making the Under 2.5 the historically backed angle in the goals market. The most recent clash, on 11 Nov 2023, ended 1–2 with Wolves winning.

With a balanced win record and just 1.6 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 & In-Play

Tottenham — key trading statistics (62 games, 31 at home): BTTS occurs in 68% of their matches (home games); Over 2.5 goals lands in 68% of games (home games); Over 3.5 in 47%.

Wolves — key trading statistics (62 games, 31 at away): BTTS occurs in 58% of their matches (away games); Over 2.5 goals lands in 58% of games (away games); they fail to score in 31% of games.

BTTS rates are mixed from the trading data — Tottenham 69% versus Wolves 50%; no strong lean in either direction. The over/under 2.5 picture is inconclusive from the in-play data (Tottenham 68% | Wolves 50%).

Poisson Model

The Poisson distribution model projects Tottenham 1.96 xG and Wolves 1.61 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: Tottenham attack 1.152 / defence 0.998 | Wolves attack 1.048 / defence 0.984. League average goals — home 1.729 / away 1.538. Data: 62 Tottenham games / 62 Wolves games used (CurrentSeason).

Result probabilities: Tottenham 46% | Draw 23% | Wolves 32%. Fair-value odds: Tottenham 2.17 | Draw 4.35 | Wolves 3.12. Tottenham hold a narrow Poisson edge at 46% — the draw (23%) is close enough to merit draw-inclusive market consideration.

Goals markets: Over 2.5 probability 69% | BTTS probability 69% | Total xG 3.57. Over 2.5 is the model's clear signal at 69% — a total xG of 3.57 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 69% reflects that both xG figures (1.96 / 1.61) are above the threshold where scoring blanks become the primary outcome — both sides are projected to find the net.

Verdict

The Poisson model's primary lean is Tottenham at 46% — moderate model lean. Draw probability of 23% warrants consideration of Double Chance or Draw No Bet on Tottenham if the outright odds are short. The opposing side holds a 32% win probability per the model — this is not a banker and should be staked accordingly.

Poisson projects 3.57 total expected goals, pointing to Over 2.5 at 69% probability — marginal — conflicting signals conviction, supported by form averaging 3.5 goals per game — though H2H averaging only 1.6 goals per meeting points in the other direction.

On the BTTS market, Poisson puts 69% on Yes. Form rates corroborate: Tottenham 90% | Wolves 80% BTTS from recent games.

The outsider holds a 32% 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

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💡 Key Insights

H2H The H2H record is evenly balanced (2W–0D–3W), with no clear historical advantage.
Goals H2H only shows 1.60 goals/game but Poisson xG is 3.57 — this season's attack strength ratings are elevating the goal expectation.
BTTS BTTS Yes is supported by both form (Tottenham 9/10, Wolves 8/10) and Poisson model (69%).
Goals Poisson Over 2.5 probability is 69% — the model favours goals in this fixture.
BTTS Poisson BTTS probability is 69% — model favours both teams scoring.

🏟️ Match Context

• Fixture: Tottenham vs Wolves | Competition: Premier League, Regular Season - 25 | Venue: Tottenham Hotspur Stadium • Kick-off: Saturday 17 Feb 2024, 15:00 UTC • Data inputs: H2H history, form splits, prediction model signals, and market pricing

📊 Statistical Prediction

• Poisson result probabilities: Tottenham 46% | Draw 23% | Wolves 32% • Poisson goal markets: Over 2.5 69% | BTTS 69% | xG Tottenham 1.96 / Wolves 1.61 • Poisson strength factors: Tottenham attack 1.152 / def 0.998 | Wolves attack 1.048 / def 0.984 | league avg home 1.729 / away 1.538 • Poisson stance: Tottenham (46%) — moderate lean

🧮 Prediction Model

1.96

Tottenham xG

Expected Goals

1.61

Wolves xG

46%
23%
32%
Tottenham Draw Wolves

69%

BTTS

88%

Over 1.5

69%

Over 2.5

48%

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 Tottenham vs Wolves kick off?

Tottenham vs Wolves kicked off at 15:00 on Saturday 17 February 2024 at Tottenham Hotspur Stadium.

What was the final score in Tottenham vs Wolves?

Tottenham 1 - 2 Wolves.

Where is Tottenham vs Wolves being played?

The match is being played at Tottenham Hotspur Stadium.

What competition is Tottenham vs Wolves part of?

Tottenham vs Wolves is a Regular Season - 25 fixture in the Premier League (England).

Who is favourite to win Tottenham vs Wolves?

Our statistical model gives Tottenham a 46% chance of winning, Wolves a 32% chance, and a 23% chance of a draw — making Tottenham the favourite.

Will both teams score in Tottenham vs Wolves?

Our model estimates a 69% probability that both Tottenham and Wolves will score (BTTS).

Will Tottenham vs Wolves have over 2.5 goals?

Our model puts the probability of over 2.5 goals in this match at 69%.

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

Record (5 meetings): Tottenham 2W | Draws 0 | Wolves 3W.

What form are Tottenham and Wolves in?

Tottenham (all comps): 6W-2D-2L in 10 | 2.00 PPG | GF 2.30 / GA 1.60 | L5 W-D-W-D-W. Wolves (all comps): 5W-2D-3L in 10 | 1.70 PPG | GF 1.80 / GA 1.40 | L5 W-D-L-W-L.

🧮 Model Insight

Behind the Numbers

Tottenham's attacking strength (1.15x league average) is weighed against Wolves's defensive record (0.98x) to produce a home expected-goals figure of 1.96. Flip it around — Wolves's attack (1.05x) against Tottenham's defence (1.00x) — and the away total comes out at 1.61.

These ratings are built from 62/62 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 10.0%. Close behind: 2-1 (8.7%), 1-2 (7.2%). Together the top three scorelines make up 26% of the probability — a moderately spread distribution, typical of a competitive match-up.

Most Likely Outcome

Tottenham Win

46%

Tottenham

2.19

23%

Draw

4.39

32%

Wolves

3.17

Top 3 Most Likely Scorelines

1 – 1

8.9%

Draw

Most likely

2 – 1

8.7%

Home win

1 – 2

7.2%

Away win

Expected Goals & Win Odds

1.96

Tottenham xG

Total xG

3.57

1.61

Wolves xG

46%
23%
32%
TottenhamDrawWolves

2.19

46%

Home win

4.39

23%

Draw

3.17

32%

Away win

Goals Markets

87%

Over 1.5

1.15

13%

Under 1.5

7.69

69%

Over 2.5

1.45

31%

Under 2.5

3.23

48%

Over 3.5

2.08

52%

Under 3.5

1.92

29%

Over 4.5

3.45

71%

Under 4.5

1.41

Match Markets

Both Teams to Score

69%

BTTS Yes

1.44

31%

BTTS No

3.25

Clean Sheet

20%

Tottenham

5.00

14%

Wolves

7.10

Win to Nil

9%

Tottenham

10.94

4%

Wolves

22.53

Score Probability Matrix (%)

H \ A 0 1 2 3 4 5
0 2.8 4.5 3.6 2.0 0.8 0.3
1 5.5 8.9 7.2 3.8 1.5 0.5
2 5.4 8.7 7.0 3.8 1.5 0.5
3 3.5 5.7 4.6 2.5 1.0 0.3
4 1.7 2.8 2.2 1.2 0.5 0.2
5 0.7 1.1 0.9 0.5 0.2 0.1

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

Model Internals
λ Home (xG) 1.960
λ Away (xG) 1.610
Total xG 3.570
League avg home goals 1.729
League avg away goals 1.538
Tottenham attack strength 1.152
Tottenham defence strength 0.998
Wolves attack strength 1.048
Wolves defence strength 0.984
Data phase CurrentSeason
Games used (H/A) 62 / 62

❓ Frequently Asked Questions

What is the most likely scoreline for Tottenham vs Wolves?

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

How many goals are Tottenham and Wolves expected to score?

The model projects 1.96 expected goals for Tottenham and 1.61 for Wolves, a combined total of 3.57.

How confident is the prediction model for Tottenham vs Wolves?

Not very — the model's leading outcome sits at just 46%, meaning this is rated as a genuinely open contest with no dominant favourite.

📈 Form Insight

The Form Picture

Tottenham come into this having played 62 games, going 32W 11D 19L for 1.73 points per game. Their last five reads W-D-W-D-W. The sample for Tottenham is still a mix of this season and last, given how young the current campaign is.

On the other side, Wolves sit at 1.18 PPG from 62 outings (20W 13D 29L), a run that reads W-D-L-W-L across their last five. The sample for Wolves is still a mix of this season and last, given how young the current campaign is.

Tottenham carry the stronger recent form of the two, 0.55 PPG clear of Wolves — worth weighing alongside whatever the head-to-head and market data say.

Home & Away Splits

Tottenham's home form reads 21W 1D 9L across 31 games on their own ground, a 2.06 PPG return.

Away from home, Wolves have taken 0.81 points per game from 31 outings (6W 7D 18L).

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

Scoring & Defensive Trends

Tottenham are averaging 1.95 goals scored and 1.60 conceded per game recently; Wolves are on 1.10 scored and 1.56 conceded.

On BTTS specifically: Tottenham have seen both teams score in 69% of their recent games.

Last 62 Results — Premier League

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

Tottenham

Tottenham

Blended
W D W D W
Wolves

Wolves

Blended
W D L W L
62 Played 62
32/11/19 W / D / L 20/13/29
1.73 Points Per Game 1.18
1.95 Avg Goals Scored 1.10
1.60 Avg Goals Conceded 1.56
3.55 Avg Goals / Game 2.66
15 Clean Sheets 15
43 BTTS 31
42 Over 2.5 Games 31
Tottenham

Tottenham

W
H Brighton
2–1
10 Feb
D
A Everton
2–2
03 Feb
W
H Brentford
3–2
31 Jan
D
A Manchester United
2–2
14 Jan
W
H Bournemouth
3–1
31 Dec
L
A Brighton
2–4
28 Dec
W
H Everton
2–1
23 Dec
W
A Nottingham Forest
2–0
15 Dec
W
H Newcastle
4–1
10 Dec
L
H West Ham
1–2
07 Dec
D
A Manchester City
3–3
03 Dec
L
H Aston Villa
1–2
26 Nov
L
A Wolves
1–2
11 Nov
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
Wolves

Wolves

L
H Brentford
0–2
10 Feb
W
A Chelsea
4–2
04 Feb
L
H Manchester United
3–4
01 Feb
D
A Brighton
0–0
22 Jan
W
H Everton
3–0
30 Dec
W
A Brentford
4–1
27 Dec
W
H Chelsea
2–1
24 Dec
L
A West Ham
0–3
17 Dec
D
H Nottingham Forest
1–1
09 Dec
W
H Burnley
1–0
05 Dec
L
A Arsenal
1–2
02 Dec
L
A Fulham
2–3
27 Nov
W
H Tottenham
2–1
11 Nov
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

❓ Frequently Asked Questions

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

Tottenham have gone 32W 11D 19L in their last 62 games (1.73 PPG), while Wolves have gone 20W 13D 29L in their last 62 (1.18 PPG).

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

Tottenham's home record (2.06 PPG) is the stronger of the two venue-specific splits — Tottenham at home: 2.06 PPG; Wolves away: 0.81 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, Tottenham have gone 1W 2D 2L from 5 meetings on their own ground against Wolves — worth weighing alongside the overall series record.

Last 10 Meetings

Tottenham

3

Tottenham

2

Draws

Wolves

5

Wolves

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 Tottenham and Wolves?

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

When did Tottenham and Wolves last play each other?

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

Who has won more matches between Tottenham and Wolves?

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 — Tottenham 68%, Wolves 58% — no strong lean either way from the trading data alone.

Goals have flowed in these teams' recent matches — Over 2.5 has landed at 68% for Tottenham and 58% for Wolves. Stepping up a level, Over 3.5 has also landed reasonably often — 36% and 19% respectively — worth a look for goal-hungry markets.

On the defensive side: Wolves in 39%.

📈

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

Tottenham Tottenham 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 43/62
(69.4%)
21/31
(67.7%)
Over 2.5 Goals 42/62
(67.7%)
21/31
(67.7%)
Over 3.5 Goals 29/62
(46.8%)
11/31
(35.5%)
Clean Sheet 15/62
(24.2%)
8/31
(25.8%)
Failed to Score 4/62
(6.5%)
2/31
(6.5%)
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 31/62
(50%)
18/31
(58.1%)
Over 2.5 Goals 31/62
(50%)
18/31
(58.1%)
Over 3.5 Goals 13/62
(21%)
6/31
(19.4%)
Clean Sheet 15/62
(24.2%)
3/31
(9.7%)
Failed to Score 19/62
(30.6%)
12/31
(38.7%)

❓ Frequently Asked Questions

Do both teams usually score when Tottenham play Wolves?

Yes — based on recent matches, both teams have scored in 68% of Tottenham's games and 58% of Wolves's, a combined rate that favours BTTS Yes.

Is Tottenham vs Wolves usually a high-scoring fixture?

Recent trends suggest it could be — Over 2.5 goals has landed in 68% of Tottenham's matches and 58% of Wolves's.

📰

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

📝 Match Report

How It Unfolded

Wolves beat Tottenham 1-2 at Tottenham Hotspur Stadium, Regular Season - 25, 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 Tottenham 1.96 xG and Wolves 1.61 xG, a combined 3.57. The scoreboard read 1-2 for 3 actual goals. Tottenham fell 1.0 short of their projected output. Those figures were built on strength ratings of Tottenham attack 1.15 / defence 1.00 against Wolves attack 1.05 / defence 0.98, drawn from 62/62 games (CurrentSeason).

On the result, the model split it Tottenham 46% | Draw 23% | Wolves 32%, with Tottenham to win its most likely call at 46%. The actual Wolves win had been the model's second-ranked read at 32%, so the result diverged from the top call without being a shock.

Goals & Markets

The model rated Over 2.5 goals at 69%. The game delivered 3, so it went over — the model's lean was correct. Over 1.5 had been 88% and landed. Over 3.5 was 48% and did not. On both teams to score, the model sat at 69% and the match saw both sides score — another call in the model's favour. Historically the two sides average 59% Over 2.5 across their same-competition games (Tottenham 68%, Wolves 50%), a base rate that agreed with today's over. Their combined BTTS history runs at 60%, which matched the both-scored outcome.

Trading Patterns vs Reality

Tottenham's trading profile (62 games, 31 home) set some clear expectations: BTTS lands in 69% of their matches — today it did.

Wolves's trading profile (62 games, 31 away) set some clear expectations: BTTS lands in 50% of their matches — today it did.

Form vs Result

On form, Tottenham arrived the stronger side — 1.73 PPG against 1.18. Form was overturned, with Wolves winning despite arriving in poorer recent shape. Tottenham (home/away splits) managed 1 against a 2.00 scoring average — below par going forward. Wolves (home/away splits) scored 2 against a 0.97 average — above their attacking norm and conceded 1 against a 1.84 average — tighter than their form line.

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 — 69% Over 2.5 probability, 3 goals scored.
Model BTTS matched the model — 69% projected, both teams scored.
Trading Trading data backed up — the sides average 59% 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.