Nocerina vs Mariglianese: result 1-3 and analysis
Serie D - Girone HGroup H - 17Kick-off on December 19, 2021 at 01:30 PM (UTC)Stadio San Francesco, Nocera Inferiore
Full time
What was the result of Nocerina vs Mariglianese?
Mariglianese won 1-3 on December 19, 2021.
Goalscorers
- 14′?Mariglianese
- 27′?Mariglianese
- 31′G. DammaccoNocerina (pen.)
- 55′?Mariglianese
What is the recent form of both teams?
Over their last 15 matches in all competitions, Nocerina have 8 wins, 2 draws and 5 defeats; Mariglianese have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 12, 2021 | Team Altamura(away) | 0-2 | Serie D - Girone H |
| Dec 8, 2021 | Virtus Matino(home) | 2-1 | Serie D - Girone H |
| Dec 5, 2021 | Nola 1925(away) | 2-0 | Serie D - Girone H |
| Nov 28, 2021 | Lavello(home) | 4-3 | Serie D - Girone H |
| Nov 21, 2021 | Città di Fasano(away) | 1-6 | Serie D - Girone H |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 12, 2021 | Bitonto(home) | 0-2 | Serie D - Girone H |
| Dec 8, 2021 | Lavello(home) | 3-0 | Serie D - Girone H |
| Dec 4, 2021 | Virtus Matino(away) | 1-0 | Serie D - Girone H |
| Nov 28, 2021 | Casertana(home) | 4-1 | Serie D - Girone H |
| Nov 21, 2021 | Audace Cerignola(away) | 0-4 | Serie D - Girone H |
How many goals should we expect?
Nocerina score 1.5 and concede 1.4 goals per match over their last 15; Mariglianese score 1.4 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Nocerina | 1.5 | 1.4 | 6 | 7/15 | 8/15 |
| Mariglianese | 1.4 | 1.2 | 5 | 6/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Nocerina | 10 | 4 | 1 | 5 | 14 | 15 | 13 |
A question about Nocerina vs Mariglianese?
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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