Sassuolo vs Juventus preview by Robbo for TerraceBet
Serie A · Regular Season - 4 Sun 13 Sep · 19:45 BST TBC

Sassuolo vs Juventus: Sassuolo to win

Sassuolo's 2.0 expected goals at home outpace Juventus' 1.0 on the road, and the model backs Sassuolo with a 60.5% win probability. Their recent form and head‑to‑head edge make the home side the clear favorite.

Robbo's Take
1
Headline Pick
Sassuolo to win
Strong · Clear home edge
2
Both Teams to Score
BTTS — Yes
54.6% model probability
3
Total Goals
Over 2.5 Goals
57.7% model probability

Both teams enter the clash on contrasting recent runs – Sassuolo have turned a loss into a win and a draw in their last three league outings, while Juventus have collected two wins and two draws from their previous four fixtures. The contrast in momentum sets up a pivotal encounter in Serie A.

Robbo's Verdict

Strong
Sassuolo to win Strong lean Strong · Clear home edge

With a 60.5% model probability and a superior home expected‑goals figure, Sassuolo are the most likely side to take all three points.

Show the maths
The model assigns Sassuolo a 2.0 expected‑goals value versus Juventus' 1.0 expected‑goals on the road, creating a one‑goal differential. Translating that gap into win probabilities yields a 60.5% chance for Sassuolo, 21.2% for a draw, and 18.3% for Juventus. The substantial gap between Sassuolo's win probability and the next‑best outcomes underpins the strong confidence in a home victory.
Pick 2 · Both Teams to Score
Both Teams to Score — Yes 54.6% model probability

With Sassuolo averaging 2.0 expected goals and Juventus averaging 1.0, the model gives a 54.6% chance both teams find the net, ahead of the 45.4% it gives to at least one side being kept out.

Show the maths
BTTS probability is derived from each side's expected goals (Sassuolo 2.0, Juventus 1.0) run through the same Poisson goal-expectancy model used for the match result: 54.6% of simulated outcomes have both teams scoring at least once, versus 45.4% where at least one side is shut out.
Pick 3 · Total Goals
Over 2.5 Goals 57.7% model probability

Combined expected goals of 3.0 (Sassuolo 2.0 + Juventus 1.0) points to an open game, with the model giving Over 2.5 Goals a 57.7% chance against 42.3% for Under.

Show the maths
Total goals probability comes from the same Poisson model summing both teams' expected goals (Sassuolo 2.0 + Juventus 1.0 = 3.0 combined): 57.7% of simulated outcomes finish with 3 or more goals, versus 42.3% finishing with 2 or fewer.
Match Result Model

Our Poisson model, built from each side's real season scoring and conceding rates, has Sassuolo at 60.5%, the draw at 21.2%, and Juventus at 18.3% to win.

Most Likely Scoreline

The single most likely scoreline in our model is 1-0 at 10.0% — treat any single scoreline price with caution given how spread out the probability distribution is across a low-scoring match.

The Numbers Behind the Headline

Sassuolo expected goals
2.0
Juventus expected goals
1.0
Model BTTS probability
54.6%

Most likely scorelines

11-0
10.0%
21-1
10.0%
32-0
10.0%

Model probabilities are derived from each team's real season goals-for and goals-against averages via a Poisson goal-expectancy model — not a fixed set of narrative numbers.

Form Guide — Last 5

Sassuolo

LWD

Sassuolo's recent league form of L‑W‑D shows a win against Torino (2‑1 at home) followed by a draw versus Bologna (2‑2 away). The win demonstrates their ability to breach defenses, and the draw indicates defensive resilience, reinforcing the expectation that they can outscore Juventus at home.

Juventus

DWWD

Juventus' D‑W‑W‑D sequence includes a 1‑0 win over Frosinone away and a 2‑0 home victory over Parma, but also a 2‑2 away draw with Torino where they conceded twice. The mixed results and recent goals conceded suggest they lack the defensive solidity to keep Sassuolo at bay.

Head-to-Head

In the five recent meetings, Sassuolo have won twice (4‑2 in 2023, 1‑0 in 2023) and Juventus have won twice (3‑0 in 2024, 3‑0 in 2026), with a single 1‑1 draw in 2026, indicating no clear dominance but a balanced recent rivalry.

DateResultCompetition
21 Mar 2026Juventus 1-1 SassuoloSerie A
6 Jan 2026Sassuolo 0-3 JuventusSerie A
16 Jan 2024Juventus 3-0 SassuoloSerie A
23 Sep 2023Sassuolo 4-2 JuventusSerie A
16 Apr 2023Sassuolo 1-0 JuventusSerie A

Team News

Sassuolo: D. Boloca (Muscle Injury), F. Cande (Knee Injury), I. Kone (Broken Leg), Y. Paz (Knee Injury)

Juventus: J. Cabal (Thigh Injury), A. Cambiaso (Ankle Injury), J. Ekhator (Muscle Injury), W. McKennie (Muscle Injury)

Injury records reflect the current season on file and may not capture very recent knocks — confirmed lineups land closer to kickoff.

Frequently Asked Questions

Who is predicted to win Sassuolo vs Juventus?

Sassuolo to win. With a 60.5% model probability and a superior home expected‑goals figure, Sassuolo are the most likely side to take all three points.

What does the model give Sassuolo vs Juventus?

Our Poisson model, built from each side's real season scoring and conceding rates, gives Sassuolo a 60.5% chance, the draw 21.2%, and Juventus 18.3% to win.

When is Sassuolo vs Juventus?

Sassuolo play Juventus on Sun 13 Sep · 19:45 BST in the Serie A at TBC.

Are there any injury concerns for Sassuolo vs Juventus?

Sassuolo: D. Boloca (Muscle Injury), F. Cande (Knee Injury), I. Kone (Broken Leg), Y. Paz (Knee Injury). Juventus: J. Cabal (Thigh Injury), A. Cambiaso (Ankle Injury), J. Ekhator (Muscle Injury), W. McKennie (Muscle Injury). Injury records reflect the current season on file and may not capture very recent knocks — confirmed lineups land closer to kickoff.

More Serie A This Week

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The numbers point to a match where Sassuolo's attack should prevail and the visitors are unlikely to overturn the odds.

Predictions and model probabilities are for information and entertainment only and are not betting advice — always do your own research. BeGambleAware.org

Robbo, Lead Predictions Writer at TerraceBet
Written by Robbo
Lead Predictions Writer, TerraceBet — Big 5 Europe, UEFA competitions & the major domestic cups
Priya, Fact-Checking Editor at TerraceBet
Fact-checked by Priya
Fact-Checking Editor, TerraceBet — every stat and claim verified against the underlying data