01 · 2 legs
Safe
- Juventus to win60%
- Over 1.5 goals77%
Serie AMapei Stadium, Reggio Emilia22°9 km/h
Läs på svenskaMarcus Johansson · · Analysis from the match model · How the predictions work
A stark contrast defines this matchup: Sassuolo's balanced and physical approach meets Juventus's possession-heavy, high-press style. The numbers paint a clear picture: the visitors are favored, with a 60% model probability of taking all three points. Yet, Sassuolo's robust physicality and effective offense, boasting an average of 1.9 expected goals per match, suggest they won't be pushovers.
The head-to-head record between these two sides is small, with just two encounters since 2021. Juventus edged one win and a draw, a slim history that shouldn't overshadow current form and stats. Sassuolo's greater xPoints at 5.7 compared to their actual tally of 4 indicates they've been somewhat unlucky, while Juventus’s xPoints closely mirror their real points, reinforcing their solid form.
Despite Juventus's impressive defensive metrics, allowing just 0.3 xGA per match, Sassuolo's attacking record could pose a challenge. The model predicts Juventus to score nearly twice, with 1.89 expected goals. Meanwhile, the hosts are anticipated to notch up 0.90, hinting at possible difficulties in breaking down Juventus's back line.
Goals might be on the menu, with a 53% chance of over 2.5 goals and a 51% likelihood of both sides finding the net. This aligns with the playing styles: the Bianconeri’s high press could leave gaps for Sassuolo’s counter-attacks, while the hosts' physicality may disrupt Juve's rhythm, offering chances on both ends.
Given the probabilities and expected goals, a 0-2 or 1-1 result feels plausible. As the clear model favorite, Juventus winning without conceding stands out as a solid pick given their formidable defensive stance.
01 · 2 legs
02 · 3 legs
03 · 4 legs
Bets where the model's probability beats what the odds imply (EV+).
| Bookmaker | 1 · Sassuolo | X | 2 · Juventus |
|---|---|---|---|
| Betsafe | 4.90 | 3.85 | EV+ 1% 1.68 |
| Betsson | 4.95 | 3.90 | EV+ 1% 1.68 |
| Nordicbet | 4.95 | 3.90 | EV+ 1% 1.68 |
| Pinnacle | 5.26 | 4.11 | 1.65 |
Odds updated 11 Sept, 19:40
5.48 → 5.26
4.02 → 4.11
1.59 → 1.65
1.88 → 1.81
Pinnacle · 9 recorded price levels · 05/09/2026 → 11/09/2026 · fixed scale 5 percentage points
Head-to-head based on Serie A data since 2021.
Solid line = created (xG), dashed = conceded (xGA).
Last 5 matches. Circle size = pass volume, line width = combinations between players. Attacking left to right.
The same network weighted by offensive threat (xT): circle size = threat created by the player, line width = threat of the combinations. Last 5 matches, attacking left to right.
| Performance | Sassuolo | Juventus |
|---|---|---|
| Points | 4 | 7 |
| xPoints | 5.7 | 6.4 |
| xG per match | 1.9 | 1.7 |
| xGA per match | 1.4 | 0.3 |
| xG within 8s of winning the ball | 0.33 | 0.61 |
| xGA within 8s of losing the ball | 0.22 | 0.09 |
| Playing style | Sassuolo | Juventus |
|---|---|---|
| Build-up efficiency | 0.33 | 0.32 |
| Field tilt | 0.52 | 0.71 |
| xT per match | 0.81 | 1.5 |
| xTA per match | 1.1 | 0.32 |
| Won balls, offensive half | 25 | 31 |
| Pressing intensity | 0.23 | 0.23 |
| Pressing efficiency | 0.19 | 0.28 |
| Pressing efficiency, offensive half | 0.17 | 0.25 |
| Entries into the box per match | 15 | 15 |
| Entries into the box against | 14 | 6 |
| Pass completion % | 0.81 | 0.81 |
| Pass completion % under pressure | 0.79 | 0.76 |
| Passes per match | 376 | 425 |
| Passes against per match | 513 | 310 |
| Switches of play per match | 24.5 | 28.9 |
| Long balls per match | 30 | 29 |
| Set pieces | Sassuolo | Juventus |
|---|---|---|
| xG from free kicks | 0.07 | 0 |
| Corners per match | 5 | 9.5 |
| Corners against per match | 5.7 | 2 |
| xG per corner | 0.03 | 0.04 |
| xGA per corner against | 0.01 | 0.01 |
| First touch, offensive corners % | 0.6 | 0.66 |
| First touch, defensive corners % | 0.65 | 0.67 |
| Other | Sassuolo | Juventus |
|---|---|---|
| Throw-in control | 0.72 | 0.68 |
| The goalkeepers | Arijanet Anan Murić (Sassuolo) | Guglielmo Vicario (Juventus) |
|---|---|---|
| Saves | 11 | 5 |
| Save % | 69% | 83% |
| xG prevented | 44% | 89% |
| Claims | 0 (0%) | 0 (0%) |
The model gives Juventus a 60% win probability. Full 1X2 picture: Sassuolo 17%, draw 22%, Juventus 60%.
The model's most likely final score is 0-1 at 11% probability.
The model rates over 2.5 goals at 53% and under at 47%.
The probability of both teams scoring is 51% according to the model.
The same rules as the bookmakers’ builders: legs that contradict or already follow from your slip cannot be combined — for example correct score 2–1 with under 2.5 goals. The difference is that we don’t look the rules up in a table; we compute them straight from the score matrix.
Predictions come from PlaymakerAI's match model and reflect the model's assessment — not betting advice. Gamble responsibly.