Arzachena vs Pisa: result 3-4 and analysis
Serie C - Girone ARegular Season - 26Kick-off on February 18, 2018 at 01:30 PM (UTC)Stadio Biagio Pirina, Arzachena
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What was the result of Arzachena vs Pisa?
Pisa won 3-4 on February 18, 2018.
Goalscorers
- 13′Maikol NegroPisa
- 30′A. CurcioArzachena
- 36′D. Di QuinzioPisa
- 45′Maikol NegroPisa (pen.)
- 62′G. LisaiArzachena (pen.)
- 67′A. CurcioArzachena
- 90′G. MasucciPisa
What is the recent form of both teams?
Over their last 15 matches in all competitions, Arzachena have 5 wins, 3 draws and 7 defeats; Pisa have 7, 7 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 11, 2018 | Monza(away) | 1-1 | Serie C - Girone A |
| Feb 4, 2018 | Piacenza(home) | 3-0 | Serie C - Girone A |
| Jan 28, 2018 | Pontedera(away) | 2-0 | Serie C - Girone A |
| Jan 20, 2018 | Robur Siena(home) | 1-2 | Serie C - Girone A |
| Dec 30, 2017 | Viterbese(away) | 0-1 | Serie C - Girone A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 11, 2018 | Prato(away) | 2-2 | Serie C - Girone A |
| Feb 4, 2018 | Cuneo(home) | 1-0 | Serie C - Girone A |
| Jan 28, 2018 | Viterbese(away) | 0-0 | Serie C - Girone A |
| Jan 21, 2018 | Monza(home) | 1-0 | Serie C - Girone A |
| Dec 30, 2017 | Robur Siena(away) | 0-0 | Serie C - Girone A |
What does the head-to-head say?
Across the last 1 meetings: 0 Arzachena win(s), 0 draw(s), 1 Pisa win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 4, 2017 | Pisa 1-0 Arzachena | Serie C - Girone A |
How many goals should we expect?
Arzachena score 1.4 and concede 1.2 goals per match over their last 15; Pisa score 1.4 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Arzachena | 1.4 | 1.2 | 4 | 9/15 | 9/15 |
| Pisa | 1.4 | 0.7 | 10 | 5/15 | 5/15 |
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