Avezzano vs Sangiustese: result 0-1 and analysis
Serie D - Girone FRegular Season - 19Kick-off on January 12, 2020 at 01:30 PM (UTC)Stadio dei Marsi, Avezzano
Full time
What was the result of Avezzano vs Sangiustese?
Sangiustese won 0-1 on January 12, 2020.
Goalscorers
- 24′56706Sangiustese
What is the recent form of both teams?
Over their last 15 matches in all competitions, Avezzano have 3 wins, 5 draws and 7 defeats; Sangiustese 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 |
|---|---|---|---|
| Jan 5, 2020 | Campobasso FC(away) | 2-2 | Serie D - Girone F |
| Dec 22, 2019 | Chieti(away) | 0-2 | Serie D - Girone F |
| Dec 15, 2019 | Atletico Terme Fiuggi(home) | 1-1 | Serie D - Girone F |
| Dec 8, 2019 | Cattolica(away) | 0-2 | Serie D - Girone F |
| Dec 1, 2019 | Real Giulianova(home) | 1-1 | Serie D - Girone F |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 5, 2020 | Tolentino(home) | 1-2 | Serie D - Girone F |
| Dec 21, 2019 | Jesina(home) | 1-2 | Serie D - Girone F |
| Dec 15, 2019 | Notaresco(away) | 0-1 | Serie D - Girone F |
| Dec 7, 2019 | Campobasso FC(home) | 0-2 | Serie D - Girone F |
| Dec 1, 2019 | Vastogirardi(away) | 1-1 | Serie D - Girone F |
What does the head-to-head say?
In the last meeting: 0 Avezzano wins, 0 draws, 1 Sangiustese win.
| Date | Score | Competition |
|---|---|---|
| Sep 8, 2019 | Sangiustese 5-1 Avezzano | Serie D - Girone F |
Last archived meeting: Sangiustese vs Avezzano on Sep 8, 2019
How many goals should we expect?
Avezzano score 0.7 and concede 1.1 goals per match over their last 15; Sangiustese score 1.1 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Avezzano | 0.7 | 1.1 | 3 | 5/15 | 1/15 |
| Sangiustese | 1.1 | 1.5 | 3 | 10/15 | 6/15 |
Over the last 15 matches in all competitions.
A question about Avezzano vs Sangiustese?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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