Pistoiese vs Monza: result 1-0 and analysis
Serie C - Girone ARegular Season - 2Kick-off on September 3, 2017 at 02:30 PM (UTC)Stadio Marcello Melani, Pistoia
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What was the result of Pistoiese vs Monza?
Pistoiese won 1-0 on September 3, 2017.
Goalscorers
- 45′F. FerrariPistoiese (pen.)
Official lineup for Pistoiese vs Monza
The starting elevens fielded at kick-off.
Pistoiese
- 10F. Ferrari
- 3Juan Ignacio Surraco Lamé
- 6Antonino Tartaglione
- 14P. Regoli
- 21Z. Hamlili
- 27Viviano Minardi
- 5G. Priola
- 15D. Quaranta
- 16Giulio Mulas
- 25D. Nossa
- 1A. Zaccagno
Monza
- 9S. Cori
- 10A. D'Errico
- 11L. Palazzo
- 8L. Guidetti
- 19D. Caverzasi
- 21M. Perini
- 27L. Giudici
- 2L. Carissoni
- 5Ruggero Riva
- 24A. Tentardini
- 1L. Liverani
What is the recent form of both teams?
Over their last 15 matches in all competitions, Pistoiese have 4 wins, 3 draws and 8 defeats; Monza have 1, 0 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 6, 2017 | Livorno(home) | 0-2 | Serie C - Girone A |
| Apr 29, 2017 | Racing Roma(away) | 2-2 | Serie C - Girone A |
| Apr 22, 2017 | Olbia(home) | 0-1 | Serie C - Girone A |
| Apr 13, 2017 | Renate(away) | 1-0 | Serie C - Girone A |
| Apr 8, 2017 | Lucchese(home) | 1-1 | Serie C - Girone A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 27, 2017 | Piacenza(home) | 2-0 | Serie C - Girone A |
How many goals should we expect?
Pistoiese score 0.8 and concede 1.1 goals per match over their last 15; Monza score 2.0 and concede 0.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Pistoiese | 0.8 | 1.1 | 3 | 5/15 | 4/15 |
| Monza | 2.0 | 0.0 | 1 | 0/1 | 0/1 |
Over the last 15 matches in all competitions.
A question about Pistoiese vs Monza?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy