Atletico Terme Fiuggi vs Real Giulianova: result 6-0 and analysis
Serie D - Girone FRegular Season - 8Kick-off on October 20, 2019 at 01:00 PM (UTC)Stadio Comunale, Fiuggi
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What was the result of Atletico Terme Fiuggi vs Real Giulianova?
Atletico Terme Fiuggi won 6-0 on October 20, 2019.
What is the recent form of both teams?
Over their last 7 matches in all competitions, Atletico Terme Fiuggi have 1 wins, 2 draws and 4 defeats; Real Giulianova have 2, 3 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 13, 2019 | Olympia Agnonese(away) | 1-2 | Serie D - Girone F |
| Oct 6, 2019 | Montegiorgio(home) | 3-1 | Serie D - Girone F |
| Sep 29, 2019 | Porto Sant'Elpidio(away) | 1-3 | Serie D - Girone F |
| Sep 21, 2019 | Matelica(home) | 1-1 | Serie D - Girone F |
| Sep 15, 2019 | Vastese(away) | 0-3 | Serie D - Girone F |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 13, 2019 | Cattolica(away) | 3-2 | Serie D - Girone F |
| Oct 6, 2019 | Recanatese(home) | 2-3 | Serie D - Girone F |
| Sep 29, 2019 | Olympia Agnonese(away) | 1-1 | Serie D - Girone F |
| Sep 22, 2019 | Montegiorgio(home) | 1-1 | Serie D - Girone F |
| Sep 15, 2019 | Matelica(away) | 1-1 | Serie D - Girone F |
How many goals should we expect?
Atletico Terme Fiuggi score 0.9 and concede 1.6 goals per match over their last 7; Real Giulianova score 1.6 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Atletico Terme Fiuggi | 0.9 | 1.6 | 1 | 4/7 | 4/7 |
| Real Giulianova | 1.6 | 1.9 | 0 | 7/7 | 4/7 |
Over the last 7 matches in all competitions.
Where do both teams sit in the table?
The current season has no played match yet: final standings of the 2025-26 season.
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Real Giulianova | 34 | 11 | 16 | 7 | 40 | 31 | 49 |
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