Pisa vs Cosenza: result 1-2 and analysis
Serie BRegular Season - 8Kick-off on September 30, 2023 at 12:00 PM (UTC)Arena Garibaldi - Stadio Romeo Anconetani, Pisa
Full time
What was the result of Pisa vs Cosenza?
Cosenza won 1-2 on September 30, 2023.
Goalscorers
- 6′I. VocaCosenza
- 90′G. MasucciPisa
- 90′S. MazzocchiCosenza
What is the recent form of both teams?
Over their last 15 matches in all competitions, Pisa have 5 wins, 4 draws and 6 defeats; Cosenza have 5, 5 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 26, 2023 | Reggiana(away) | 0-0 | Serie B |
| Sep 23, 2023 | Feralpisalo(away) | 1-0 | Serie B |
| Sep 16, 2023 | Bari(home) | 1-1 | Serie B |
| Sep 2, 2023 | Modena(away) | 0-2 | Serie B |
| Aug 29, 2023 | Parma(home) | 1-2 | Serie B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 26, 2023 | Cremonese(home) | 1-2 | Serie B |
| Sep 22, 2023 | Palermo(away) | 1-0 | Serie B |
| Sep 16, 2023 | Sudtirol(home) | 2-2 | Serie B |
| Sep 3, 2023 | Brescia(away) | 0-1 | Serie B |
| Aug 29, 2023 | Modena(home) | 1-2 | Serie B |
What does the head-to-head say?
Across the last 6 meetings: 3 Pisa win(s), 2 draw(s), 1 Cosenza win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 1, 2023 | Cosenza 1-0 Pisa | Serie B |
| Nov 5, 2022 | Pisa 3-1 Cosenza | Serie B |
| Apr 30, 2022 | Pisa 1-1 Cosenza | Serie B |
| Dec 18, 2021 | Cosenza 0-2 Pisa | Serie B |
| Apr 17, 2021 | Pisa 3-0 Cosenza | Serie B |
| Dec 27, 2020 | Cosenza 1-1 Pisa | Serie B |
How many goals should we expect?
Pisa score 1.3 and concede 1.0 goals per match over their last 15; Cosenza score 1.3 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Pisa | 1.3 | 1.0 | 6 | 7/15 | 6/15 |
| Cosenza | 1.3 | 1.3 | 4 | 9/15 | 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