Viterbese vs Paganese: result 2-1 and analysis
Serie C - Girone CGirone C - 1Kick-off on August 25, 2019 at 04:30 PM (UTC)Stadio Enrico Rocchi, Viterbo
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What was the result of Viterbese vs Paganese?
Viterbese won 2-1 on August 25, 2019.
Goalscorers
- 37′Mamadou TounkaraViterbese
- 71′T. AlbertiPaganese
- 84′Stefano AntezzaViterbese
What is the recent form of both teams?
Over their last 15 matches in all competitions, Viterbese have 3 wins, 5 draws and 7 defeats; Paganese have 4, 5 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 4, 2019 | Piacenza(away) | 1-1 | Coppa Italia |
| May 22, 2019 | Arezzo(home) | 0-2 | Serie C - Girone A |
| May 5, 2019 | Paganese(away) | 0-1 | Serie C - Girone C |
| May 1, 2019 | Catanzaro(away) | 0-2 | Serie C - Girone C |
| Apr 28, 2019 | Rende(home) | 1-3 | Serie C - Girone C |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 25, 2019 | Bisceglie(away) | 3-4 | Serie C - Girone A |
| May 18, 2019 | Bisceglie(home) | 2-1 | Serie C - Girone A |
| May 5, 2019 | Viterbese(home) | 1-0 | Serie C - Girone C |
| Apr 28, 2019 | Trapani(away) | 1-2 | Serie C - Girone C |
| Apr 20, 2019 | Virtus Francavilla(home) | 2-1 | Serie C - Girone C |
What does the head-to-head say?
Across the last 2 meetings: 1 Viterbese win(s), 0 draw(s), 1 Paganese win(s).
| Date | Score | Competition |
|---|---|---|
| May 5, 2019 | Paganese 1-0 Viterbese | Serie C - Girone C |
| Dec 26, 2018 | Viterbese 2-1 Paganese | Serie C - Girone C |
How many goals should we expect?
Viterbese score 1.1 and concede 1.5 goals per match over their last 15; Paganese score 1.1 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Viterbese | 1.1 | 1.5 | 4 | 7/15 | 7/15 |
| Paganese | 1.1 | 1.4 | 5 | 8/15 | 9/15 |
Over the last 15 matches in all competitions.
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy