Palermo — LR Vicenza
☆ Save matchModel prediction for 1 November
Preliminary forecast: the match is more than a week away. Closer to it the model takes in fresh form, injuries and line-ups, and the numbers may move.
In short
Palermo are clear favourites: 70% against 11% for the opponent, draw 19%.
The model expects plenty of goals: 3.2 in total, against a competition average of 2.6.
Over 2.5 goals — 63%, both teams to score — 56%.
Why
- By the strength ratings Palermo are about 0.7 goals per match stronger.
Probabilities
| Expected goals: Palermo — LR Vicenza What is xG? | 2.3–0.9 | |
| Palermo not to lose | 89% | |
| LR Vicenza not to lose | 30% | |
| No draw | 81% | |
| Both teams to score: yes | 56% | |
| Both teams to score: no | 44% | |
| Total over 2.5 | 63% | |
| Total under 2.5 | 37% |
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All totals and handicaps, team totals, corners and cards, the score grid, every factor and how the estimate moved before kick-off.
- All totals
- Handicap Palermo
- Palermo goals
- LR Vicenza goals
- Corners and cards
- Full score grid
Form
- 10.10Pisa0:3
- 20.09away · Hellas Verona1:2
- 12.09Juve Stabia1:1
- 06.09away · Virtus Entella2:2
- 29.08away · Avellino0:3
Head to head
No previous meetings in the data.
Table
| # | Team | P | W | +/− | Pts |
|---|---|---|---|---|---|
| 1, Promotion | Palermo | 6 | 5 | +7 | 16 |
| 2, Promotion | Mantova | 6 | 4 | +7 | 14 |
| 16, Relegation play-off | Empoli | 6 | 2 | -4 | 6 |
| 17, Relegation play-off | LR Vicenza | 6 | 1 | -6 | 5 |
| 18, Relegation | Carrarese | 6 | 1 | -2 | 4 |
Serie B on the same day
- ArezzoAscolipreliminary353035XThe model's most likely outcome: XModel's score: 0:02.5
- AvellinoPisapreliminary2930412The model's most likely outcome: 2Model's score: 1:22.6
- EmpoliJuve Stabiapreliminary3930311The model's most likely outcome: 1Model's score: 2:12.4
- Hellas VeronaCarraresepreliminary5325211The model's most likely outcome: 1Model's score: 2:03.0
This is the model’s statistical estimate, not a recommendation. An outcome at 70% will not happen in roughly 30 matches out of 100. How to read probabilities →