01 · 2 legs
Safe
- Double chance Udinese or draw (1X)68%
- Under 3.5 goals76%
Serie ABluenergy Stadium, Udine18°7 km/h
Läs på svenskaErik Lindberg · · Written from the model's numbers · How the predictions work
TEXT: Udinese holds a slight edge with a 40% likelihood of victory against Cagliari's 29%, according to the model probabilities. Despite this, both teams share a physical and balanced style, which tends to neutralize high-scoring outcomes. The home side's recent head-to-head record is commanding, with three wins and a draw in the last four encounters, though the small sample size limits its weight compared to current form and expected goals.
The expected goals model gives Udinese a modest advantage with 1.34 to Cagliari's 1.16. This narrow margin suggests a low-scoring affair. Most likely, it will end 1-1, backed by a 13% probability, while a solitary 1-0 win for the hosts follows at 11%. With only a 46% chance of over 2.5 goals and 51% for both teams to score, the under 2.5 goals scenario emerges as a strong possibility.
A potential value bet on Udinese exists, given the model's lean toward the hosts. Their xPoints of 4.0 edge out Cagliari's 3.6, suggesting a more solid underlying performance despite Cagliari's point advantage in the table. For the cautious punter, trusting Udinese's sturdier xG numbers over recent points collected might just prove prudent.
01 · 2 legs
02 · 3 legs
03 · 4 legs
Bets where the model's probability beats what the odds imply (EV+).
| Bookmaker | 1 · Udinese | X | 2 · Cagliari |
|---|---|---|---|
| Betsafe | 2.08 | EV+ 3% 3.30 | EV+ 7% 3.70 |
| Betsson | 2.08 | EV+ 3% 3.30 | EV+ 7% 3.70 |
| Nordicbet | 2.08 | EV+ 3% 3.30 | EV+ 7% 3.70 |
| Pinnacle | 2.10 | EV+ 0% 3.21 | EV+ 8% 3.74 |
Odds updated 11 Sept, 05:38
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 | Udinese | Cagliari |
|---|---|---|
| Points | 4 | 6 |
| xPoints | 4 | 3.6 |
| xG per match | 1.2 | 0.96 |
| xGA per match | 1.7 | 1.8 |
| xG within 8s of winning the ball | 0.26 | 0.11 |
| xGA within 8s of losing the ball | 0.18 | 0.29 |
| Playing style | Udinese | Cagliari |
|---|---|---|
| Build-up efficiency | 0.28 | 0.28 |
| Field tilt | 0.37 | 0.46 |
| xT per match | 1 | 0.89 |
| xTA per match | 1.2 | 1.4 |
| Won balls, offensive half | 29 | 23 |
| Pressing intensity | 0.23 | 0.23 |
| Pressing efficiency | 0.26 | 0.21 |
| Pressing efficiency, offensive half | 0.25 | 0.19 |
| Entries into the box per match | 12 | 11 |
| Entries into the box against | 14 | 19 |
| Pass completion % | 0.75 | 0.79 |
| Pass completion % under pressure | 0.71 | 0.75 |
| Passes per match | 322 | 350 |
| Passes against per match | 453 | 485 |
| Switches of play per match | 21.9 | 14.6 |
| Long balls per match | 34 | 25 |
| Set pieces | Udinese | Cagliari |
|---|---|---|
| xG from free kicks | 0.02 | 0.04 |
| Corners per match | 2 | 5.6 |
| Corners against per match | 7 | 4.6 |
| xG per corner | 0.03 | 0.04 |
| xGA per corner against | 0.05 | 0.04 |
| First touch, offensive corners % | 0.67 | 0.35 |
| First touch, defensive corners % | 0.57 | 0.57 |
| Other | Udinese | Cagliari |
|---|---|---|
| Throw-in control | 0.56 | 0.57 |
| The goalkeepers | Maduka Okoye (Udinese) | Elia Caprile (Cagliari) |
|---|---|---|
| Saves | 13 | 10 |
| Save % | 72% | 91% |
| xG prevented | 47% | 96% |
| Claims | 0 (0%) | 0 (0%) |
The model gives Udinese a 40% win probability. Full 1X2 picture: Udinese 40%, draw 31%, Cagliari 29%.
The model's most likely final score is 1-1 at 13% probability.
The model rates over 2.5 goals at 46% and under at 54%.
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.