Padova vs Sangiuliano City: result 2-0 and analysis
Serie C - Girone AGirone A - 35Kick-off on April 2, 2023 at 12:30 PM (UTC)Stadio Comunale Euganeo, Padova
Full time
What was the result of Padova vs Sangiuliano City?
Padova won 2-0 on April 2, 2023.
Goalscorers
- 52′M. BortolussiPadova
- 73′M. LiguoriPadova (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Padova have 5 wins, 8 draws and 2 defeats; Sangiuliano City have 5, 3 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 25, 2023 | Renate(away) | 0-2 | Serie C - Girone A |
| Mar 19, 2023 | Albinoleffe(away) | 3-2 | Serie C - Girone A |
| Mar 15, 2023 | Pro Sesto(home) | 0-0 | Serie C - Girone A |
| Mar 12, 2023 | Arzignano Valchiampo(away) | 1-0 | Serie C - Girone A |
| Mar 5, 2023 | Piacenza(home) | 1-1 | Serie C - Girone A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 26, 2023 | PRO Vercelli(home) | 1-0 | Serie C - Girone A |
| Mar 19, 2023 | Arzignano Valchiampo(away) | 0-0 | Serie C - Girone A |
| Mar 15, 2023 | Albinoleffe(home) | 2-0 | Serie C - Girone A |
| Mar 12, 2023 | Virtus Verona(away) | 1-3 | Serie C - Girone A |
| Mar 5, 2023 | Novara(home) | 0-1 | Serie C - Girone A |
What does the head-to-head say?
Across the last 1 meetings: 0 Padova win(s), 0 draw(s), 1 Sangiuliano City win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 30, 2022 | Sangiuliano City 1-0 Padova | Serie C - Girone A |
Last archived meeting: Sangiuliano City vs Padova on Nov 30, 2022
How many goals should we expect?
Padova score 1.1 and concede 0.9 goals per match over their last 15; Sangiuliano City score 1.1 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Padova | 1.1 | 0.9 | 5 | 8/15 | 4/15 |
| Sangiuliano City | 1.1 | 1.2 | 5 | 7/15 | 7/15 |
Over the last 15 matches in all competitions.
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