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Juventus 2-2 Parma – Result & Analysis

🎯

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Serie A · Regular Season - 10

Kick-off

Wed 30 Oct 2024

19:45

Venue

Allianz Stadium

Competition

Serie A

Italy

Status

FT
💬 Comment 📡 Chat 📝 Notes
📋

Poisson rates Juventus at 49% — current form provides partial corroboration, though signals are mixed in this Juventus vs Parma encounter.

✍️ Match Preview

Analysis & Preview

A Serie A encounter, Regular Season - 10 sees Parma travel to Allianz Stadium to take on Juventus. The game is scheduled for Wednesday 30 October 2024, 19:45 UTC.

Form Analysis

Looking at all fixtures this season, Juventus stand at 5W 5D 0L from 10 Serie A matches — 2.00 PPG. Last five: D W D W D. Offensively they are averaging 1.70 goals per game, with 0.50 conceded. Defensively, conceding just 0.50 per game is an exceptional defensive record — one of the tightest in the division. 8 clean sheets from 10 games (80%) 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 Juventus, so this record blends games from this season and last.

Juventus at Allianz Stadium this season: 4W 6D 0L from 10 home games — 1.80 PPG on home soil. At home they are averaging 0.90 goals scored and 0.20 conceded per game. 8 clean sheets from 10 home games (80%) — they are an exceptionally hard side to score against at Allianz Stadium. At home, both teams have scored in only 20% of games — reinforcing BTTS No as the home-venue-backed angle.

Across all Serie A games this season, Parma have recorded 1W 6D 3L from 10 outings — 0.90 PPG. Last five: D L D D D. Their scoring rate of 1.30 per game is modest, conceding 1.50 — not a side to back heavily on the Over 2.5 from their form alone. 1 clean sheet from 10 outings suggests some defensive organisation. Both teams have scored in 90% of their matches this season — one of the stronger BTTS rates in the division, making Yes a well-evidenced play. This season is still relatively young for Parma, so this record blends games from this season and last.

Parma away from home this season: 2W 7D 1L from 10 away games — 1.30 PPG on the road. Away from home they average 1.10 goals scored and 0.90 conceded per game. Both teams have scored in 70% of their away matches — a high BTTS rate on the road that directly informs this fixture.

Juventus are in the better shape of the two on current Serie A data — 1.10 PPG ahead (2.00 vs 0.90). That form margin is the baseline of a sensible selection even before other signals are layered in.

In-Play Profile

Juventus in-play tendencies (47 games, 23 at home): they score before half-time in 48% of fixtures in home games; when goalless at HT, a second-half goal follows 63% of the time; BTTS occurs in 35% of their matches (home games); Over 2.5 goals lands in 26% of games (home games); they keep a clean sheet 51% of the time.

Parma in-play tendencies (47 games, 23 at away): they score before half-time in 65% of fixtures in away games; when goalless at HT, a second-half goal follows 54% of the time; BTTS occurs in 61% of their matches (away games); Over 2.5 goals lands in 56% of games (away games).

BTTS rates are mixed from the trading data — Juventus 43% versus Parma 66%; no strong lean in either direction. The over/under 2.5 picture is inconclusive from the in-play data (Juventus 40% | Parma 51%).

Poisson Model

The Poisson distribution model projects Juventus 1.22 xG and Parma 0.62 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: Juventus attack 0.817 / defence 0.606 | Parma attack 0.779 / defence 1.018. League average goals — home 1.468 / away 1.304. Juventus's defence rating of 0.606 is below average — the home backline is amplifying the visitor's projected output. Data: 47 Juventus games / 9 Parma games used (CurrentSeason).

Result probabilities: Juventus 49% | Draw 33% | Parma 17%. Fair-value odds: Juventus 2.04 | Draw 3.03 | Parma 5.88. Juventus hold a narrow Poisson edge at 49% — the draw (33%) is close enough to merit draw-inclusive market consideration.

Goals markets: Over 2.5 probability 28% | BTTS probability 34% | Total xG 1.84. Under 2.5 is the strongly backed market at 72% probability — total xG of 1.84 sits well below the 2.5 threshold. The model is projecting a tight, low-scoring match based on both sides' defensive quality. BTTS No has firm model support at 66% — Parma's lower xG of 0.62 creates a meaningful probability of a scoring blank, which suppresses the BTTS Yes probability to 34%.

Summary & Verdict

The Poisson model's primary lean is Juventus at 49% — moderate model lean. Current-season form corroborates the Poisson lean — partial multi-source support. With a 33% draw probability, Draw No Bet on Juventus offers a more defensible entry point than the straight win.

The Poisson model projects 1.84 xG in total — Under 2.5 at 28% — reasonable confidence, supported by form averaging 1.6 goals per game.

On the BTTS market, Poisson puts 34% on No. Form rates corroborate: Juventus 20% | Parma 70% BTTS from recent games.

🔮 Your Prediction

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💡 Key Insights

Form Juventus lead on PPG: 2.00 vs 0.90 — stronger form across the last 10 games.
Form Juventus Poisson xG (1.22) exceeds their recent form scoring rate (0.90) — the model sees more attacking threat than recent results show.
Form Parma Poisson xG (0.62) is below their form scoring rate (1.10) — home defensive strength is discounting away goal expectation.
Goals Form averages (~1.3 goals/game) and Poisson xG (1.84) both support Under 2.5 goals (72% probability).
Form Form and Poisson model both favour Juventus — Juventus at 49% win probability.
Prediction Poisson model shows elevated draw probability at 33% — tight contest expected.
Goals Poisson Over 2.5 probability is only 28% — the model points to an Under 2.5 outcome.
BTTS Poisson BTTS probability is only 34% — model leans towards a clean sheet for one side.

🏟️ Match Context

• Fixture: Juventus vs Parma | Competition: Serie A, Regular Season - 10 | Venue: Allianz Stadium • Kick-off: Wednesday 30 Oct 2024, 19:45 UTC • Data inputs: H2H history, form splits, prediction model signals, and market pricing

📊 Statistical Prediction

• Poisson result probabilities: Juventus 49% | Draw 33% | Parma 17% • Poisson goal markets: Over 2.5 28% | BTTS 34% | xG Juventus 1.22 / Parma 0.62 • Poisson strength factors: Juventus attack 0.817 / def 0.606 | Parma attack 0.779 / def 1.018 | league avg home 1.468 / away 1.304 • Poisson stance: Juventus (49%) — moderate lean

🎲 Betting Market Intelligence

• Odds data is not currently available for this fixture

🧮 Prediction Model

1.22

Juventus xG

Expected Goals

0.62

Parma xG

49%
33%
17%
Juventus Draw Parma

34%

BTTS

56%

Over 1.5

28%

Over 2.5

11%

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 Juventus vs Parma kick off?

Juventus vs Parma kicked off at 19:45 on Wednesday 30 October 2024 at Allianz Stadium.

What was the final score in Juventus vs Parma?

Juventus 2 - 2 Parma.

Where is Juventus vs Parma being played?

The match is being played at Allianz Stadium.

What competition is Juventus vs Parma part of?

Juventus vs Parma is a Regular Season - 10 fixture in the Serie A (Italy).

Who is favourite to win Juventus vs Parma?

Our statistical model gives Juventus a 49% chance of winning, Parma a 17% chance, and a 33% chance of a draw — making Juventus the favourite.

Will both teams score in Juventus vs Parma?

Our model estimates a 34% probability that both Juventus and Parma will score (BTTS).

Will Juventus vs Parma have over 2.5 goals?

Our model puts the probability of over 2.5 goals in this match at 28%.

What is the head-to-head record between Juventus and Parma?

No recorded head-to-head meetings available in the dataset.

What form are Juventus and Parma in?

Juventus (all comps): 5W-5D-0L in 10 | 2.00 PPG | GF 1.70 / GA 0.50 | L5 D-W-D-W-D. Parma (all comps): 1W-6D-3L in 10 | 0.90 PPG | GF 1.30 / GA 1.50 | L5 D-L-D-D-D.

What do the betting odds say about Juventus vs Parma?

Odds data is not currently available for this fixture.

🧮 Model Insight

How the Model Works This Match

Working from Juventus's attack rating (0.82) and Parma's defence rating (1.02), the model arrives at 1.22 expected goals for the home side. The same calculation in reverse, Parma's attack versus Juventus's defence, projects 0.62 expected goals for the visitors.

These ratings are built from 47/9 games of current-season data — a full enough sample to trust.

The Exact-Score Picture

Run the expected-goals figures through the full scoreline distribution and 1-0 emerges as the single most likely result, at 17.9%. Close behind: 0-0 (17.5%), 1-1 (13.5%). Those top three scorelines alone account for 49% of the model's total probability mass — a relatively concentrated, predictable distribution for this fixture.

Most Likely Outcome

Juventus Win

49%

Juventus

2.03

33%

Draw

2.99

17%

Parma

5.83

Top 3 Most Likely Scorelines

1 – 0

19.4%

Home win

Most likely

0 – 0

15.9%

Draw

1 – 1

12.0%

Draw

Expected Goals & Win Odds

1.22

Juventus xG

Total xG

1.84

0.62

Parma xG

49%
33%
17%
JuventusDrawParma

2.03

49%

Home win

2.99

33%

Draw

5.83

17%

Away win

Goals Markets

55%

Over 1.5

1.82

45%

Under 1.5

2.22

28%

Over 2.5

3.57

72%

Under 2.5

1.39

11%

Over 3.5

9.09

89%

Under 3.5

1.12

4%

Over 4.5

25.00

96%

Under 4.5

1.04

Match Markets

Both Teams to Score

34%

BTTS Yes

2.94

66%

BTTS No

1.51

Clean Sheet

54%

Juventus

1.85

29%

Parma

3.39

Win to Nil

27%

Juventus

3.75

5%

Parma

19.77

Score Probability Matrix (%)

H \ A 0 1 2 3 4 5
0 15.9 9.8 3.0 0.6 0.1
1 19.4 12.0 3.7 0.8 0.1
2 11.9 7.3 2.3 0.5 0.1
3 4.8 3.0 0.9 0.2
4 1.5 0.9 0.3 0.1
5 0.4 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) 1.221
λ Away (xG) 0.616
Total xG 1.837
League avg home goals 1.468
League avg away goals 1.304
Juventus attack strength 0.817
Juventus defence strength 0.606
Parma attack strength 0.779
Parma defence strength 1.018
Data phase CurrentSeason
Games used (H/A) 47 / 9

❓ Frequently Asked Questions

What is the most likely scoreline for Juventus vs Parma?

Our Poisson model rates 1-0 as the single most likely exact scoreline, at 17.9%.

How many goals are Juventus and Parma expected to score?

The model projects 1.22 expected goals for Juventus and 0.62 for Parma, a combined total of 1.84.

How confident is the prediction model for Juventus vs Parma?

Not very — the model's leading outcome sits at just 49%, meaning this is rated as a genuinely open contest with no dominant favourite.

📈 Form Insight

Form at a Glance

Across their last 47 outings, Juventus have picked up 1.87 PPG on a 23W 19D 5L record — D-W-D-W-D across the most recent five. The sample for Juventus is still a mix of this season and last, given how young the current campaign is.

Parma's form line: 22W 18D 7L from 47 games, 1.79 PPG, last five D-L-D-D-D. The sample for Parma is still a mix of this season and last, given how young the current campaign is.

Form-wise this is close to level: Juventus on 1.87 PPG, Parma on 1.79. Other factors will likely decide this one more than recent results.

Venue Form

On home soil, Juventus have posted 2.09 PPG from 23 outings (13W 9D 1L).

On the road, Parma have gone 10W 9D 4L from 23 away games — 1.70 PPG when travelling.

Goals in Recent Form

Juventus are averaging 1.47 goals scored and 0.77 conceded per game recently; Parma are on 1.66 scored and 1.04 conceded.

On BTTS specifically: Parma in 66%.

Defensively: Juventus have kept a clean sheet in 51% of their games — worth knowing if you're weighing up clean-sheet or BTTS-No markets.

Last 47 Results — Serie A

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

Juventus

Juventus

Blended
D W D W D
Parma

Parma

Blended
D L D D D
47 Played 47
23/19/5 W / D / L 22/18/7
1.87 Points Per Game 1.79
1.47 Avg Goals Scored 1.66
0.77 Avg Goals Conceded 1.04
2.23 Avg Goals / Game 2.70
24 Clean Sheets 14
20 BTTS 31
19 Over 2.5 Games 24
Juventus

Juventus

D
A Inter
4–4 HT 2–3
27 Oct
W
H Lazio
1–0 HT 0–0
19 Oct
D
H Cagliari
1–1 HT 1–0
06 Oct
W
A Genoa
3–0 HT 0–0
28 Sep
D
H Napoli
0–0 HT 0–0
21 Sep
D
A Empoli
0–0 HT 0–0
14 Sep
D
H AS Roma
0–0 HT 0–0
01 Sep
W
A Hellas Verona
3–0 HT 2–0
26 Aug
W
H Como
3–0 HT 2–0
19 Aug
W
H Monza
2–0 HT 2–0
25 May
D
A Bologna
3–3 HT 0–2
20 May
D
H Salernitana
1–1 HT 0–1
12 May
D
A AS Roma
1–1 HT 1–1
05 May
D
H AC Milan
0–0 HT 0–0
27 Apr
D
A Cagliari
2–2 HT 0–2
19 Apr
D
A Torino
0–0 HT 0–0
13 Apr
W
H Fiorentina
1–0 HT 1–0
07 Apr
L
A Lazio
0–1 HT 0–0
30 Mar
D
H Genoa
0–0 HT 0–0
17 Mar
D
H Atalanta
2–2 HT 0–1
10 Mar
L
A Napoli
1–2 HT 0–1
03 Mar
W
H Frosinone
3–2 HT 2–2
25 Feb
D
A Hellas Verona
2–2 HT 1–1
17 Feb
L
H Udinese
0–1 HT 0–1
12 Feb
L
A Inter
0–1 HT 0–1
04 Feb
D
H Empoli
1–1 HT 0–0
27 Jan
W
A Lecce
3–0 HT 0–0
21 Jan
W
H Sassuolo
3–0 HT 2–0
16 Jan
W
A Salernitana
2–1 HT 0–1
07 Jan
W
H AS Roma
1–0 HT 0–0
30 Dec
W
A Frosinone
2–1 HT 1–0
23 Dec
D
A Genoa
1–1 HT 1–0
15 Dec
W
H Napoli
1–0 HT 0–0
08 Dec
W
A Monza
2–1 HT 1–0
01 Dec
D
H Inter
1–1 HT 1–1
26 Nov
W
H Cagliari
2–1 HT 0–0
11 Nov
W
A Fiorentina
1–0 HT 1–0
05 Nov
W
H Hellas Verona
1–0 HT 0–0
28 Oct
W
A AC Milan
1–0 HT 0–0
22 Oct
W
H Torino
2–0 HT 0–0
07 Oct
D
A Atalanta
0–0 HT 0–0
01 Oct
W
H Lecce
1–0 HT 0–0
26 Sep
L
A Sassuolo
2–4 HT 1–2
23 Sep
W
H Lazio
3–1 HT 2–0
16 Sep
W
A Empoli
2–0 HT 1–0
03 Sep
D
H Bologna
1–1 HT 0–1
27 Aug
W
A Udinese
3–0 HT 3–0
20 Aug
Parma

Parma

D
H Empoli
1–1 HT 0–1
27 Oct
D
A Como
1–1 HT 1–1
19 Oct
D
A Bologna
0–0 HT 0–0
06 Oct
L
H Cagliari
2–3 HT 0–1
30 Sep
D
A Lecce
2–2 HT 0–1
21 Sep
L
H Udinese
2–3 HT 2–0
16 Sep
L
A Napoli
1–2 HT 1–0
31 Aug
W
H AC Milan
2–1 HT 1–0
24 Aug
D
H Fiorentina
1–1 HT 1–0
17 Aug
D
A Reggiana
1–1 HT 0–1
10 May
D
H Cremonese
1–1 HT 0–1
05 May
D
A Bari
1–1 HT 0–0
01 May
W
H Lecco
4–0 HT 3–0
27 Apr
D
A Palermo
0–0 HT 0–0
19 Apr
W
H Spezia
2–0 HT 1–0
13 Apr
D
A Sudtirol
0–0 HT 0–0
06 Apr
L
H Catanzaro
0–2 HT 0–2
01 Apr
W
A Feralpisalo
2–1 HT 1–0
16 Mar
W
H Brescia
2–1 HT 0–1
08 Mar
W
A Ternana
3–1 HT 2–0
02 Mar
D
H Cosenza
1–1 HT 1–1
27 Feb
D
A Como
1–1 HT 1–1
24 Feb
W
H Pisa
3–2 HT 1–1
17 Feb
W
A Cittadella
2–1 HT 2–1
10 Feb
W
H Venezia
2–1 HT 1–1
03 Feb
L
A Modena
0–3 HT 0–2
27 Jan
W
A Sampdoria
3–0 HT 2–0
19 Jan
D
H Ascoli
1–1 HT 0–0
14 Jan
W
A Brescia
2–0 HT 2–0
26 Dec
W
H Ternana
3–1 HT 1–1
23 Dec
D
A Cosenza
0–0 HT 0–0
16 Dec
D
H Palermo
3–3 HT 0–2
10 Dec
W
A Spezia
1–0 HT 0–0
02 Dec
D
H Modena
1–1 HT 0–0
25 Nov
L
A Lecco
2–3 HT 1–2
12 Nov
W
H Sudtirol
2–0 HT 1–0
05 Nov
W
A Ascoli
3–1 HT 2–1
28 Oct
W
H Como
2–1 HT 1–0
20 Oct
L
A Venezia
2–3 HT 0–0
07 Oct
W
A Cremonese
2–1 HT 0–0
01 Oct
W
H Bari
2–1 HT 1–0
27 Sep
D
H Sampdoria
1–1 HT 0–1
24 Sep
W
A Catanzaro
5–0 HT 3–0
17 Sep
D
H Reggiana
0–0 HT 0–0
02 Sep
W
A Pisa
2–1 HT 1–0
29 Aug
W
H Cittadella
2–0 HT 1–0
26 Aug
W
H Feralpisalo
2–0 HT 1–0
20 Aug

❓ Frequently Asked Questions

What form are Juventus and Parma in coming into this match?

Juventus have gone 23W 19D 5L in their last 47 games (1.87 PPG), while Parma have gone 22W 18D 7L in their last 47 (1.79 PPG).

Which team has the better venue record — Juventus at home or Parma away?

Juventus's home record (2.09 PPG) is the stronger of the two venue-specific splits — Juventus at home: 2.09 PPG; Parma away: 1.70 PPG.

Have Juventus or Parma been keeping clean sheets recently?

Juventus have kept a clean sheet in 51% of their recent games, Parma in 30%.

⚔️ Rivalry Insight

Fixture History

4 meetings separate these sides on the data we hold, the series stretching back to October 2024. Every recorded meeting has come in Serie A. They last met on 1 February 2026, roughly 5 months ago.

Streaks & Records

Juventus have won the last 2 meetings between these two, a run that gives them the psychological edge coming in.

The biggest gap between the sides came on 1 Feb 2026, when Juventus won 1-4 — the largest margin of victory on record between these two.

Juventus's record when hosting Parma specifically: 1W 1D 0L from 2 games — a narrower, venue-specific slice of the head-to-head picture.

Last 4 Meetings

Juventus

2

Juventus

1

Draws

Parma

1

Parma

Recent Meetings

Parma
1–4
01 Feb 26
Juventus
Juventus
2–0
24 Aug 25
Parma
Parma
1–0
23 Apr 25
Juventus
Juventus
2–2
30 Oct 24
Parma

❓ Frequently Asked Questions

What is the head-to-head record between Juventus and Parma?

From 4 meetings on record, Juventus have won 2, Parma have won 1, and 1 have been drawn.

When did Juventus and Parma last play each other?

They last met on 1 February 2026, when Parma 1-4 Juventus.

Who has won more matches between Juventus and Parma?

Juventus have the better head-to-head record, with 2 wins from 4 meetings.

📈 Trading Insight

First-Half Patterns

Juventus see a goal before the break in 48% of their matches. They've gone in front at half-time 26% of the time.

Parma are typically involved in an early goal — the half-time board shows at least one in 65% of their matches. They've gone in front at half-time 39% of the time.

Full-Time Trends

BTTS sits in mixed territory for this pairing — Juventus 35%, Parma 61% — no strong lean either way from the trading data alone.

Over 2.5 has been close to a coin-flip for both sides — 26% (Juventus) and 56% (Parma).

On the defensive side: Juventus keep a clean sheet in 61% of their matches; Parma in 35%.

📈

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

Juventus Juventus Blended
Metric All
(47 games)
Venue
(23 games)
Half-Time Metrics
1+ Goal Before HT 28/47
(59.6%)
11/23
(47.8%)
2+ Goals Before HT 14/47
(29.8%)
6/23
(26.1%)
0-0 HT → 1+ Goal 2nd Half 12/19
(63.2%)
8/12
(66.7%)
0-0 HT → 2+ Goals 2nd Half 5/19
(26.3%)
3/12
(25%)
Winning at HT 13/47
(27.7%)
6/23
(26.1%)
Lost Lead (Win HT → No Win FT) 2/47
(4.3%)
1/23
(4.3%)
Came From Behind (Lose HT → Draw/Win FT) 7/47
(14.9%)
2/23
(8.7%)
Full-Time Metrics
BTTS 20/47
(42.6%)
8/23
(34.8%)
Over 2.5 Goals 19/47
(40.4%)
6/23
(26.1%)
Over 3.5 Goals 8/47
(17%)
3/23
(13%)
Clean Sheet 24/47
(51.1%)
14/23
(60.9%)
Failed to Score 10/47
(21.3%)
5/23
(21.7%)
Parma Parma Blended
Metric All
(47 games)
Venue
(23 games)
Half-Time Metrics
1+ Goal Before HT 36/47
(76.6%)
15/23
(65.2%)
2+ Goals Before HT 18/47
(38.3%)
10/23
(43.5%)
0-0 HT → 1+ Goal 2nd Half 6/11
(54.5%)
4/8
(50%)
0-0 HT → 2+ Goals 2nd Half 5/11
(45.5%)
3/8
(37.5%)
Winning at HT 19/47
(40.4%)
9/23
(39.1%)
Lost Lead (Win HT → No Win FT) 3/47
(6.4%)
1/23
(4.3%)
Came From Behind (Lose HT → Draw/Win FT) 7/47
(14.9%)
2/23
(8.7%)
Full-Time Metrics
BTTS 31/47
(66%)
14/23
(60.9%)
Over 2.5 Goals 24/47
(51.1%)
13/23
(56.5%)
Over 3.5 Goals 12/47
(25.5%)
6/23
(26.1%)
Clean Sheet 14/47
(29.8%)
8/23
(34.8%)
Failed to Score 7/47
(14.9%)
5/23
(21.7%)

❓ Frequently Asked Questions

Do both teams usually score when Juventus play Parma?

Not especially — both teams scoring has occurred in only 35% of Juventus's recent matches and 61% of Parma's, a rate that leans toward BTTS No.

Is Juventus vs Parma usually a high-scoring fixture?

Not particularly — Over 2.5 goals has come in for only 26% of Juventus's recent games and 56% of Parma's, pointing to a tighter contest.

Do Juventus and Parma tend to score early?

Juventus have had a goal before half-time in 48% of their recent matches, Parma in 65% — a useful reference point for first-half goal markets.

📰

Juventus and Parma share the spoils in a 2-2 draw.

📝 Match Report

How It Unfolded

Juventus and Parma finished level at 2-2 at Allianz Stadium, Regular Season - 10, in the Serie A. The remainder of the report sets that outcome against the pre-match model, the markets and the teams' data profiles.

The Model vs The Result

The Poisson model went into this projecting Juventus 1.22 xG and Parma 0.62 xG, a combined 1.84. The scoreboard read 2-2 for 4 actual goals. Parma outscored their 0.62 projection by 1.4. Those figures were built on strength ratings of Juventus attack 0.82 / defence 0.61 against Parma attack 0.78 / defence 1.02, drawn from 47/9 games (CurrentSeason).

On the result, the model split it Juventus 49% | Draw 33% | Parma 17%, with Juventus to win its most likely call at 49%. The actual draw had been the model's second-ranked read at 33%, so the result diverged from the top call without being a shock.

Goals & Markets

The model rated Over 2.5 goals at 28%. The game delivered 4, so it went over — against the model's lean. Over 1.5 had been 56% and landed. Over 3.5 was 11% and came in. On both teams to score, the model sat at 34% and the match saw both sides score — a miss on BTTS. Historically the two sides average 46% Over 2.5 across their same-competition games (Juventus 40%, Parma 51%), a base rate that pointed the other way from today's over. Their combined BTTS history runs at 54%, which matched the both-scored outcome.

Trading Patterns vs Reality

Juventus's trading profile (47 games, 23 home) set some clear expectations: BTTS lands in 43% of their matches — today it did; they keep a clean sheet 51% of the time, and conceded here.

Parma's trading profile (47 games, 23 away) set some clear expectations: BTTS lands in 66% of their matches — today it did.

Form vs Result

The form lines were close — Juventus 1.87 PPG, Parma 1.79 PPG — offering no strong steer, and the draw fit that even billing. Juventus (home/away splits) shipped 2 against a 0.48 concession average — a leakier day than usual. Parma (home/away splits) shipped 2 against a 1.00 concession average — a leakier day than usual.

Verdict

Grading the result against the stored data, 0 of 3 pre-match signals came in: result (miss), Over 2.5 (miss), BTTS (miss). This one broke away from the data — most of the pre-match signals were overturned by how the ninety minutes actually played out.

💡 Key Insights

Model Goals market defied the model — 28% Over 2.5 probability, but 4 goals scored.
Model BTTS bucked the model — 34% projected, both teams scored.
Trading Trading data bucked — 46% 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.