Padova vs Feralpisalo: result 1-1 and analysis
Serie C - Girone ARegular Season - 31Kick-off on March 21, 2018 at 07:30 PM (UTC)Stadio Comunale Euganeo, Padova
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What was the result of Padova vs Feralpisalo?
Padova and Feralpisalo drew 1-1 on March 21, 2018.
Goalscorers
- 11′Marco GuidonePadova
- 17′S. GuerraFeralpisalo (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Padova have 8 wins, 5 draws and 2 defeats; Feralpisalo have 7, 2 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 12, 2018 | Bassano Virtus(away) | 2-1 | Serie C - Girone A |
| Mar 3, 2018 | Teramo(home) | 0-2 | Serie C - Girone A |
| Feb 24, 2018 | Sudtirol(away) | 1-1 | Serie C - Girone A |
| Feb 17, 2018 | Ravenna(home) | 2-0 | Serie C - Girone A |
| Feb 10, 2018 | Santarcangelo(away) | 3-1 | Serie C - Girone A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 11, 2018 | Gubbio(away) | 1-0 | Serie C - Girone A |
| Feb 24, 2018 | Mestre(away) | 2-3 | Serie C - Girone A |
| Feb 17, 2018 | Teramo(home) | 1-1 | Serie C - Girone A |
| Feb 10, 2018 | Pordenone(away) | 3-0 | Serie C - Girone A |
| Feb 3, 2018 | Vicenza Virtus(home) | 1-3 | Serie C - Girone A |
What does the head-to-head say?
Across the last 3 meetings: 1 Padova win(s), 1 draw(s), 1 Feralpisalo win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 5, 2017 | Feralpisalo 2-2 Padova | Serie C - Girone A |
| Apr 2, 2017 | Feralpisalo 2-1 Padova | Serie C - Girone A |
| Nov 12, 2016 | Padova 2-1 Feralpisalo | Serie C - Girone A |
How many goals should we expect?
Padova score 1.3 and concede 0.8 goals per match over their last 15; Feralpisalo score 1.5 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Padova | 1.3 | 0.8 | 4 | 9/15 | 6/15 |
| Feralpisalo | 1.5 | 1.4 | 3 | 12/15 | 11/15 |
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