Fanfulla vs Tritium: result 1-0 and analysis
Serie D - Girone DGroup D - 21Kick-off on February 2, 2022 at 01:30 PM (UTC)Stadio Dossenina, Lodi
Full time
What was the result of Fanfulla vs Tritium?
Fanfulla won 1-0 on February 2, 2022.
Goalscorers
- 54′?Fanfulla (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Fanfulla have 5 wins, 3 draws and 7 defeats; Tritium 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 26, 2022 | Lentigione(home) | 0-1 | Serie D - Girone D |
| Jan 23, 2022 | Prato(away) | 0-1 | Serie D - Girone D |
| Dec 18, 2021 | Bagnolese BP(away) | 0-1 | Serie D - Girone D |
| Dec 8, 2021 | ASD Sasso Marconi(away) | 3-0 | Serie D - Girone D |
| Dec 5, 2021 | Ghivizzano Borgo Mozzano(home) | 1-2 | Serie D - Girone D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 29, 2022 | Aglianese(home) | 2-2 | Serie D - Girone D |
| Dec 22, 2021 | Correggese(away) | 0-1 | Serie D - Girone D |
| Dec 18, 2021 | Real Forte Querceta(home) | 1-0 | Serie D - Girone D |
| Dec 12, 2021 | Progresso(away) | 0-0 | Serie D - Girone D |
| Dec 8, 2021 | Borgo San Donnino(home) | 0-1 | Serie D - Girone D |
What does the head-to-head say?
In the last meeting: 0 Fanfulla wins, 1 draw, 0 Tritium wins.
| Date | Score | Competition |
|---|---|---|
| Sep 26, 2021 | Tritium 2-2 Fanfulla | Serie D - Girone D |
How many goals should we expect?
Fanfulla score 1.5 and concede 1.2 goals per match over their last 15; Tritium score 1.2 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Fanfulla | 1.5 | 1.2 | 3 | 7/15 | 6/15 |
| Tritium | 1.2 | 1.7 | 2 | 10/15 | 8/15 |
Over the last 15 matches in all competitions.
A question about Fanfulla vs Tritium?
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