Matera vs Paganese: result 2-1 and analysis
Serie C - Girone ARegular Season - 6Kick-off on September 29, 2017 at 06:45 PM (UTC)Stadio XXI Settembre-Franco Salerno, Matera
Full time
What was the result of Matera vs Paganese?
Matera won 2-1 on September 29, 2017.
Goalscorers
- 45′G. CasoliMatera
- 51′Nicola TalamoPaganese
- 62′Nicola StrambelliMatera
What is the recent form of both teams?
Over their last 15 matches in all competitions, Matera have 5 wins, 6 draws and 4 defeats; Paganese have 5, 3 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 23, 2017 | Monopoli(away) | 0-2 | Serie C - Girone A |
| Sep 16, 2017 | Reggiana(away) | 1-1 | Serie C - Girone A |
| Sep 9, 2017 | Cosenza(home) | 0-0 | Serie C - Girone A |
| Sep 2, 2017 | Sicula Leonzio(away) | 1-2 | Serie C - Girone A |
| Aug 26, 2017 | Akragas(home) | 1-0 | Serie C - Girone A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 23, 2017 | Juve Stabia(home) | 1-2 | Serie C - Girone A |
| Sep 16, 2017 | Akragas(away) | 0-2 | Serie C - Girone A |
| Sep 9, 2017 | Reggiana(home) | 1-1 | Serie C - Girone A |
| Sep 2, 2017 | Cosenza(away) | 2-0 | Serie C - Girone A |
| Aug 26, 2017 | Bisceglie(home) | 0-2 | Serie C - Girone A |
What does the head-to-head say?
Across the last 2 meetings: 1 Matera win(s), 1 draw(s), 0 Paganese win(s).
| Date | Score | Competition |
|---|---|---|
| Dec 29, 2016 | Paganese 1-1 Matera | Serie C - Girone A |
| Sep 4, 2016 | Matera 2-1 Paganese | Serie C - Girone A |
How many goals should we expect?
Matera score 1.3 and concede 0.9 goals per match over their last 15; Paganese score 1.3 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Matera | 1.3 | 0.9 | 5 | 8/15 | 5/15 |
| Paganese | 1.3 | 1.7 | 3 | 8/15 | 7/15 |
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