Real Giulianova vs Sangiustese: result 0-0 and analysis
Serie D - Girone FRegular Season - 11Kick-off on November 10, 2019 at 01:30 PM (UTC)Stadio Rubens Fadini, Giulianova
Full time
What was the result of Real Giulianova vs Sangiustese?
Real Giulianova and Sangiustese drew 0-0 on November 10, 2019.
What is the recent form of both teams?
Over their last 10 matches in all competitions, Real Giulianova have 3 wins, 3 draws and 4 defeats; Sangiustese have 3, 4 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 3, 2019 | Campobasso FC(away) | 0-2 | Serie D - Girone F |
| Oct 27, 2019 | Chieti(home) | 1-0 | Serie D - Girone F |
| Oct 20, 2019 | Atletico Terme Fiuggi(away) | 0-6 | Serie D - Girone F |
| Oct 13, 2019 | Cattolica(away) | 3-2 | Serie D - Girone F |
| Oct 6, 2019 | Recanatese(home) | 2-3 | Serie D - Girone F |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 3, 2019 | Chieti(home) | 2-2 | Serie D - Girone F |
| Oct 27, 2019 | Montegiorgio(away) | 1-0 | Serie D - Girone F |
| Oct 20, 2019 | Cattolica(home) | 2-2 | Serie D - Girone F |
| Oct 13, 2019 | Matelica(away) | 1-0 | Serie D - Girone F |
| Oct 6, 2019 | Olympia Agnonese(home) | 3-5 | Serie D - Girone F |
How many goals should we expect?
Real Giulianova score 1.2 and concede 2.1 goals per match over their last 10; Sangiustese score 1.9 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Real Giulianova | 1.2 | 2.1 | 1 | 7/10 | 5/10 |
| Sangiustese | 1.9 | 1.7 | 2 | 8/10 | 7/10 |
Over the last 10 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | Real Giulianova | 10 | 4 | 1 | 5 | 12 | 14 | 13 |
A question about Real Giulianova vs Sangiustese?
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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