Trapani vs Paganese: prediction and stats
Serie C - Girone CGirone C - 15Kick-off on December 13, 2020 at 12:00 AM (UTC)Stadio Polisportivo Provinciale, Trapani
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Trapani have 7 wins, 5 draws and 3 defeats; Paganese have 2, 7 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 30, 2020 | Brescia(away) | 0-3 | Coppa Italia |
| Sep 27, 2020 | Casertana(home) | 0-3 | Serie C - Girone C |
| Jul 31, 2020 | Crotone(home) | 2-0 | Serie B |
| Jul 27, 2020 | Perugia(away) | 2-1 | Serie B |
| Jul 24, 2020 | Pescara(home) | 1-0 | Serie B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 5, 2020 | Bari(home) | 0-1 | Serie C - Girone C |
| Nov 29, 2020 | Juve Stabia(away) | 1-1 | Serie C - Girone C |
| Nov 22, 2020 | Bisceglie(home) | 1-1 | Serie C - Girone C |
| Nov 15, 2020 | Palermo(away) | 1-2 | Serie C - Girone C |
| Nov 11, 2020 | Avellino(home) | 1-1 | Serie C - Girone C |
What does the head-to-head say?
Across the last 5 meetings: 4 Trapani wins, 1 draw, 0 Paganese wins.
| Date | Score | Competition |
|---|---|---|
| Apr 28, 2019 | Trapani 2-1 Paganese | Serie C - Girone C |
| Dec 23, 2018 | Paganese 1-3 Trapani | Serie C - Girone C |
| Feb 18, 2018 | Trapani 4-1 Paganese | Serie C - Girone A |
| Oct 3, 2017 | Paganese 0-0 Trapani | Serie C - Girone A |
| Jul 30, 2017 | Trapani 6-0 Paganese | Coppa Italia |
How many goals should we expect?
Trapani score 1.6 and concede 1.2 goals per match over their last 15; Paganese score 0.9 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Trapani | 1.6 | 1.2 | 5 | 8/15 | 9/15 |
| Paganese | 0.9 | 1.3 | 4 | 8/15 | 5/15 |
Over the last 15 matches in all competitions.
A question about Trapani vs Paganese?
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How does Footlab AI compute this prediction?
The model combines both teams' Elo ratings (anchored by competition pool), their recent form weighted by opponent strength, home advantage and a Poisson matrix for scorelines. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy