Mestre vs Feralpisalo: result 3-2 and analysis
Serie C - Girone ARegular Season - 27Kick-off on February 24, 2018 at 01:30 PM (UTC)Stadio Francesco Baracca, Mestre
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What was the result of Mestre vs Feralpisalo?
Mestre won 3-2 on February 24, 2018.
Goalscorers
- 12′S. GuerraFeralpisalo (pen.)
- 24′A. SpagnoliMestre (pen.)
- 38′D. VoltanFeralpisalo
- 49′LeonidasMestre
- 89′Dario SottoviaMestre
What is the recent form of both teams?
Over their last 15 matches in all competitions, Mestre have 5 wins, 4 draws and 6 defeats; Feralpisalo have 7, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 16, 2018 | Sambenedettese(away) | 2-0 | Serie C - Girone A |
| Feb 5, 2018 | Triestina(away) | 0-0 | Serie C - Girone A |
| Jan 27, 2018 | Fermana(home) | 0-1 | Serie C - Girone A |
| Jan 20, 2018 | Gubbio(away) | 3-1 | Serie C - Girone A |
| Dec 29, 2017 | Albinoleffe(home) | 2-1 | Serie C - Girone A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Jan 27, 2018 | AJ Fano(away) | 1-1 | Serie C - Girone A |
| Jan 20, 2018 | Sambenedettese(home) | 1-0 | Serie C - Girone A |
What does the head-to-head say?
Across the last 1 meetings: 0 Mestre win(s), 1 draw(s), 0 Feralpisalo win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 8, 2017 | Feralpisalo 0-0 Mestre | Serie C - Girone A |
How many goals should we expect?
Mestre score 1.1 and concede 1.0 goals per match over their last 15; Feralpisalo score 1.6 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mestre | 1.1 | 1.0 | 5 | 7/15 | 6/15 |
| Feralpisalo | 1.6 | 1.4 | 2 | 13/15 | 12/15 |
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