Fidelis Andria vs Nardò: result 0-1 and analysis
Serie D - Girone HRegular Season - 10Kick-off on November 3, 2019 at 02:00 PM (UTC)Stadio Degli Ulivi, Andria
Full time
What was the result of Fidelis Andria vs Nardò?
Nardò won 0-1 on November 3, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Fidelis Andria have 4 wins, 7 draws and 4 defeats; Nardò have 1, 1 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 27, 2019 | Città di Fasano(away) | 2-3 | Serie D - Girone H |
| Oct 20, 2019 | Grumentum(home) | 0-1 | Serie D - Girone H |
| Oct 13, 2019 | Agropoli(away) | 3-0 | Serie D - Girone H |
| Oct 6, 2019 | Brindisi(home) | 3-2 | Serie D - Girone H |
| Sep 29, 2019 | Francavilla(away) | 2-2 | Serie D - Girone H |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 27, 2019 | Foggia(home) | 0-1 | Serie D - Girone H |
| Oct 20, 2019 | Brindisi(home) | 2-2 | Serie D - Girone H |
| Oct 13, 2019 | Grumentum(away) | 1-3 | Serie D - Girone H |
| Oct 6, 2019 | Audace Cerignola(home) | 1-0 | Serie D - Girone H |
| Sep 29, 2019 | Casarano(away) | 0-1 | Serie D - Girone H |
How many goals should we expect?
Fidelis Andria score 1.1 and concede 1.1 goals per match over their last 15; Nardò score 0.7 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Fidelis Andria | 1.1 | 1.1 | 4 | 8/15 | 5/15 |
| Nardò | 0.7 | 1.8 | 1 | 3/9 | 4/9 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Fidelis Andria sit 14th in Serie D - Girone H (7 points from 7 matches) and Nardò sit 15th (6 points from 7 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 14 | Fidelis Andria | 7 | 2 | 1 | 4 | 7 | 11 | 7 |
| 15 | Nardò | 7 | 1 | 3 | 3 | 6 | 12 | 6 |
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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