Monza vs Matelica: result 1-0 and analysis
Coppa Italia1st RoundKick-off on July 29, 2018 at 03:00 PM (UTC)U-Power Stadium, Monza
Full time
What was the result of Monza vs Matelica?
Monza won 1-0 on July 29, 2018.
Goalscorers
- 48′G. BarbaMonza
Official lineup for Monza vs Matelica
The starting elevens fielded at kick-off.
Monza
- 9S. Cori
- 10A. D'Errico
- 11Giuseppe Ponsat
- 18G. Tomaselli
- 8L. Guidetti
- 19D. Caverzasi
- 5Ruggero Riva
- 7M. Origlio
- 17G. Barba
- 25Lorenzo Adorni
- 1L. Liverani
Matelica
- 7M. Angelilli
- 9D. Fioretti
- 11Gianluca Bugaro
- 5F. Lo Sicco
- 8Alberto Pignat
- 10Salvatore Margarita
- 2Sehadin Arapi
- 3Lorenzo Riccio
- 4Luca Benedetti
- 6Federico Cuccato
- 1M. Avella
What is the recent form of both teams?
Over their last 15 matches in all competitions, Monza have 8 wins, 4 draws and 3 defeats; Matelica have 0, 0 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 5, 2018 | Olbia(home) | 3-0 | Serie C - Girone A |
| Apr 28, 2018 | Cuneo(away) | 1-0 | Serie C - Girone A |
| Apr 21, 2018 | Giana Erminio(home) | 1-1 | Serie C - Girone A |
| Apr 17, 2018 | Arezzo(away) | 1-0 | Serie C - Girone A |
| Apr 7, 2018 | Pontedera(home) | 0-1 | Serie C - Girone A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 30, 2017 | Pordenone(away) | 0-2 | Coppa Italia |
How many goals should we expect?
Monza score 1.1 and concede 0.4 goals per match over their last 15; Matelica score 0.0 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Monza | 1.1 | 0.4 | 9 | 3/15 | 2/15 |
| Matelica | 0.0 | 2.0 | 0 | 0/1 | 0/1 |
Over the last 15 matches in all competitions.
A question about Monza vs Matelica?
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