01 · 2 legs
Safe
- Juventus to win77%
- Over 1.5 goals80%
Serie AAllianz Stadium, Torino24°7 km/h
Läs på svenskaMarcus Johansson · · Analysis from the match model · How the predictions work
TEXT: A Juventus victory over Parma seems almost inevitable, considering the weight of statistical evidence. With model probabilities heavily favoring the hosts at 77%, and most likely scorelines of 2-0 or 1-0, the home side's dominance is tangible. Juventus's possession-heavy and high-press style aligns well with their ability to control matches, especially against a Parma side characterized by a more balanced and physical approach. The expected goals (xG) figures underline this imbalance: 2.26 for Juventus versus a mere 0.70 for the visitors.
Historically, Juventus's home strength is undeniable, winning 55% of their home matches all-time (38 played). Against Parma, the head-to-head since 2021 reveals a slight edge for the hosts with 2 wins, a draw, and a loss. However, with just four matches in this sample, it's their current form and xG figures that cast the more compelling narrative. Juventus clearly outshine Parma in expected points, xG, and expected goals against (xGA), showcasing their superior quality on both ends of the pitch.
Despite Parma's physicality, which can sometimes disrupt more technically inclined teams, they lack the offensive firepower to threaten consistently. Their xG per match of 0.85 pales in comparison to Juventus's 1.8, suggesting that the visitors will struggle to find the net. While the model indicates a 57% chance of over 2.5 goals, Juventus's strong defensive metrics—0.48 xGA per game—suggest that the visitors might not contribute to this tally.
For those seeking a betting edge, the most striking opportunity lies with Parma. Despite their slim 9% chance of victory, the odds of 18.5 offered by Betsson and Nordicbet, as well as 18.0 by Betsafe, present a significant value proposition with over a 58% edge. While unlikely, the potential payoff is substantial.
01 · 2 legs
02 · 3 legs
03 · 4 legs
Bets where the model's probability beats what the odds imply (EV+).
| Bookmaker | 1 · Juventus | X | 2 · Parma |
|---|---|---|---|
| Betfair Exchange | EV+ 3% 1.34 | 5.70 | 8.40 |
| Betsafe | 1.22 | 5.65 | EV+ 40% 16.00 |
| Betsson | 1.23 | 5.70 | EV+ 40% 16.00 |
| Nordicbet | 1.23 | 5.70 | EV+ 40% 16.00 |
| Paddy Power | 1.30 | 5.50 | 8.00 |
| Pinnacle | 1.21 | 6.77 | EV+ 21% 13.85 |
Odds updated 25 Aug, 06:36
1.19 → 1.21
6.45 → 6.77
12.50 → 13.85
1.63 → 1.67
Pinnacle · 4 recorded price levels · 23/08/2026 → 25/08/2026 · 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 | Juventus | Parma |
|---|---|---|
| Points | 3 | 0 |
| xPoints | 1.8 | 1.2 |
| xG per match | 1.8 | 0.85 |
| xGA per match | 0.48 | 1.2 |
| xG within 8s of winning the ball | 0.55 | 0.16 |
| xGA within 8s of losing the ball | 0.13 | 0.03 |
| Playing style | Juventus | Parma |
|---|---|---|
| Build-up efficiency | 0.32 | 0.32 |
| Field tilt | 0.74 | 0.3 |
| xT per match | 1.8 | 0.72 |
| xTA per match | 0.39 | 1.1 |
| Won balls, offensive half | 14 | 30 |
| Pressing intensity | 0.22 | 0.21 |
| Pressing efficiency | 0.48 | 0.19 |
| Pressing efficiency, offensive half | 0.39 | 0.19 |
| Entries into the box per match | 17 | 14 |
| Entries into the box against | 6 | 11 |
| Pass completion % | 0.79 | 0.78 |
| Pass completion % under pressure | 0.74 | 0.71 |
| Passes per match | 388 | 370 |
| Passes against per match | 183 | 437 |
| Switches of play per match | 20.9 | 32.2 |
| Long balls per match | 30 | 23 |
| Set pieces | Juventus | Parma |
|---|---|---|
| xG from free kicks | 0 | 0.17 |
| Corners per match | 11.4 | 2.9 |
| Corners against per match | 2.8 | 1.9 |
| xG per corner | 0.06 | 0.1 |
| xGA per corner against | 0.01 | 0.09 |
| First touch, offensive corners % | 0.75 | 0.33 |
| First touch, defensive corners % | 0.33 | 0.5 |
| Other | Juventus | Parma |
|---|---|---|
| Throw-in control | 0.67 | 0.7 |
| The goalkeepers | Guglielmo Vicario (Juventus) | Edoardo Corvi (Parma) |
|---|---|---|
| Saves | 2 | 4 |
| Save % | 100% | 80% |
| xG prevented | 100% | 92% |
| Claims | 0 (0%) | 0 (0%) |
The model gives Juventus a 77% win probability. Full 1X2 picture: Juventus 77%, draw 15%, Parma 9%.
The model's most likely final score is 2-0 at 13% probability.
The model rates over 2.5 goals at 57% and under at 43%.
The probability of both teams scoring is 45% 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.