Arzignano Valchiampo vs Padova: prediction and stats
Serie C - Girone BGirone B - 27Kick-off on March 11, 2020 at 02:00 PM (UTC)Stadio Romeo Menti, Vicenza
Match postponed, new date to be confirmed
What is the recent form of both teams?
Over their last 15 matches in all competitions, Arzignano Valchiampo have 3 wins, 5 draws and 7 defeats; Padova have 5, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 17, 2020 | Reggiana(away) | 1-3 | Serie C - Girone B |
| Feb 9, 2020 | Triestina(home) | 2-2 | Serie C - Girone B |
| Feb 2, 2020 | Sudtirol(away) | 0-5 | Serie C - Girone B |
| Jan 26, 2020 | Sambenedettese(home) | 1-1 | Serie C - Girone B |
| Jan 23, 2020 | Piacenza(away) | 0-0 | Serie C - Girone B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 16, 2020 | Fermana(home) | 0-1 | Serie C - Girone B |
| Feb 9, 2020 | Cesena(away) | 1-1 | Serie C - Girone B |
| Feb 2, 2020 | Vis Pesaro(home) | 4-0 | Serie C - Girone B |
| Jan 25, 2020 | Carpi(away) | 1-1 | Serie C - Girone B |
| Jan 22, 2020 | Virtus Verona(home) | 3-2 | Serie C - Girone B |
What does the head-to-head say?
In the last meeting: 0 Arzignano Valchiampo wins, 0 draws, 1 Padova win.
| Date | Score | Competition |
|---|---|---|
| Oct 6, 2019 | Padova 2-0 Arzignano Valchiampo | Serie C - Girone B |
Last archived meeting: Padova vs Arzignano Valchiampo on Oct 6, 2019
How many goals should we expect?
Arzignano Valchiampo score 0.9 and concede 1.3 goals per match over their last 15; Padova score 1.0 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Arzignano Valchiampo | 0.9 | 1.3 | 4 | 7/15 | 5/15 |
| Padova | 1.0 | 0.8 | 5 | 5/15 | 3/15 |
Over the last 15 matches in all competitions.
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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