Matelica vs Campobasso FC: result 0-0 and analysis
Serie D - Girone FRegular Season - 23Kick-off on February 9, 2020 at 01:30 PM (UTC)Centro Sportivo Giovanni Paolo II, Matelica
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What was the result of Matelica vs Campobasso FC?
Matelica and Campobasso FC drew 0-0 on February 9, 2020.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Matelica have 11 wins, 3 draws and 1 defeats; Campobasso FC 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 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 |
| Jan 5, 2020 | Cattolica(away) | 2-1 | Serie D - Girone F |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 2, 2020 | Pineto(home) | 3-3 | Serie D - Girone F |
| Jan 26, 2020 | Vastese(away) | 1-0 | Serie D - Girone F |
| Jan 19, 2020 | Tolentino(home) | 4-0 | Serie D - Girone F |
| Jan 12, 2020 | Notaresco(away) | 3-1 | Serie D - Girone F |
| Jan 5, 2020 | Avezzano(home) | 2-2 | Serie D - Girone F |
What does the head-to-head say?
Across the last 1 meetings: 0 Matelica win(s), 1 draw(s), 0 Campobasso FC win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 6, 2019 | Campobasso FC 1-1 Matelica | Serie D - Girone F |
Last archived meeting: Campobasso FC vs Matelica on Oct 6, 2019
How many goals should we expect?
Matelica score 2.2 and concede 0.7 goals per match over their last 15; Campobasso FC score 2.2 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Matelica | 2.2 | 0.7 | 7 | 8/15 | 10/15 |
| Campobasso FC | 2.2 | 1.1 | 6 | 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