Sangiustese vs Matelica: result 0-2 and analysis
Serie D - Girone FRegular Season - 24Kick-off on February 16, 2020 at 01:30 PM (UTC)Stadio Comunale Villa San Filippo, Monte San Giusto
Full time
What was the result of Sangiustese vs Matelica?
Matelica won 0-2 on February 16, 2020.
Goalscorers
- 10′?Matelica
- 54′?Matelica
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sangiustese have 2 wins, 5 draws and 8 defeats; Matelica have 10, 4 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 9, 2020 | Olympia Agnonese(away) | 0-3 | Serie D - Girone F |
| Feb 2, 2020 | Vastese(home) | 1-2 | Serie D - Girone F |
| Jan 26, 2020 | Porto Sant'Elpidio(away) | 1-2 | Serie D - Girone F |
| Jan 19, 2020 | Pineto(home) | 0-1 | Serie D - Girone F |
| Jan 12, 2020 | Avezzano(away) | 1-0 | Serie D - Girone F |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 9, 2020 | Campobasso FC(home) | 0-0 | Serie D - Girone F |
| Feb 1, 2020 | Chieti(away) | 3-1 | Serie D - Girone F |
| Jan 26, 2020 | Atletico Terme Fiuggi(home) | 2-2 | Serie D - Girone F |
| Jan 19, 2020 | Real Giulianova(away) | 0-0 | Serie D - Girone F |
| Jan 12, 2020 | Montegiorgio(home) | 3-2 | Serie D - Girone F |
What does the head-to-head say?
Across the last 1 meetings: 1 Sangiustese win(s), 0 draw(s), 0 Matelica win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 13, 2019 | Matelica 0-1 Sangiustese | Serie D - Girone F |
Last archived meeting: Matelica vs Sangiustese on Oct 13, 2019
How many goals should we expect?
Sangiustese score 0.7 and concede 1.3 goals per match over their last 15; Matelica score 2.0 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sangiustese | 0.7 | 1.3 | 3 | 8/15 | 6/15 |
| Matelica | 2.0 | 0.7 | 8 | 7/15 | 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