01 · 2 legs
Safe
- Double chance Carrarese or draw (1X)69%
- Under 3.5 goals73%
Serie BStadio dei Marmi, Carrara22°1,5 mm8 km/h
Läs på svenskaAnna Karlsson · · A data-driven preview · How the predictions work
A tight contest is on the cards when Carrarese hosts Benevento, with the bookmakers and models giving a slight edge to the home side. The match's deciding factor could well be possession control, as Carrarese's style leans heavily on dominating the ball, contrasting with Benevento's balanced and physical approach. The home team not only excels in maintaining possession but also seems to have the upper hand across various metrics, including expected goals (xG) and expected points (xPoints).
Although both teams have displayed similar defensive vulnerabilities, their offensive capabilities tip marginally in favor of Carrarese. With Carrarese's expected goals at 1.44 compared to Benevento's 1.19, the hosts are predicted to find the back of the net more often. This aligns with the model's most likely scorelines, which suggest a 1-1 draw at 13% probability, followed closely by a 1-0 win for Carrarese at 10%. The statistical edge, albeit small, leans towards a narrow home victory.
A small head-to-head sample doesn't offer much to go on, so the focus rests on these season-long numbers. Carrarese's ability to exert pressure, especially within eight seconds of winning the ball, provides them an incremental edge. Their xG within this timeframe is 0.23 compared to Benevento's 0.21, a tiny margin but indicative of their capacity to translate possession into scoring opportunities quickly.
For those interested in betting angles, Carrarese's slight edge aligns with the model's probabilities at 41% for a home win. The even split on over/under 2.5 goals at 49% suggests a cautious approach to goal totals. However, Carrarese's edge in metrics and possession might justify a flutter on their victory, especially if odds above the implied probabilities are offered by bookmakers.
01 · 2 legs
02 · 3 legs
03 · 4 legs
No odds available yet.
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 | Carrarese | Benevento |
|---|---|---|
| Points | 1 | 1 |
| xPoints | 4.3 | 3.3 |
| xG per match | 1.1 | 1 |
| xGA per match | 1.4 | 1.4 |
| xG within 8s of winning the ball | 0.23 | 0.21 |
| xGA within 8s of losing the ball | 0.49 | 0.06 |
| Playing style | Carrarese | Benevento |
|---|---|---|
| Build-up efficiency | 0.3 | 0.24 |
| Field tilt | 0.28 | 0.51 |
| xT per match | 0.56 | 0.6 |
| xTA per match | 1.3 | 0.81 |
| Won balls, offensive half | 19 | 18 |
| Pressing intensity | 0.22 | 0.23 |
| Pressing efficiency | 0.25 | 0.22 |
| Pressing efficiency, offensive half | 0.19 | 0.21 |
| Entries into the box per match | 10 | 12 |
| Entries into the box against | 15 | 9 |
| Pass completion % | 0.72 | 0.79 |
| Pass completion % under pressure | 0.66 | 0.72 |
| Passes per match | 286 | 333 |
| Passes against per match | 483 | 363 |
| Switches of play per match | 16.1 | 25.2 |
| Long balls per match | 21 | 30 |
| Set pieces | Carrarese | Benevento |
|---|---|---|
| xG from free kicks | 0.04 | 0.03 |
| Corners per match | 4 | 8 |
| Corners against per match | 6.7 | 4 |
| xG per corner | 0.11 | 0.01 |
| xGA per corner against | 0.02 | 0.04 |
| First touch, offensive corners % | 0.42 | 0.29 |
| First touch, defensive corners % | 0.65 | 0.75 |
| Other | Carrarese | Benevento |
|---|---|---|
| Throw-in control | 0.66 | 0.7 |
| The goalkeepers | Giovanni Gabriele Garofani (Carrarese) | Gianmarco Vannucchi (Benevento) |
|---|---|---|
| Saves | 8 | 6 |
| Save % | 73% | 60% |
| xG prevented | 65% | 29% |
| Claims | 0 (0%) | 0 (0%) |
The model gives Carrarese a 41% win probability. Full 1X2 picture: Carrarese 41%, draw 26%, Benevento 33%.
The model's most likely final score is 1-1 at 13% probability.
The model rates over 2.5 goals at 49% and under at 51%.
The probability of both teams scoring is 53% 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.