Arezzo vs Robur Siena: result 2-1 and analysis
Serie C - Girone ARegular Season - 3Kick-off on September 10, 2016 at 04:30 PM (UTC)Stadio Città di Arezzo, Arezzo
Full time
What was the result of Arezzo vs Robur Siena?
Arezzo won 2-1 on September 10, 2016.
Goalscorers
- 2′A. MarottaRobur Siena
- 74′Horacio Nicolás Erpen BariffoArezzo
- 79′Horacio Nicolás Erpen BariffoArezzo
Official lineup for Arezzo vs Robur Siena
The starting elevens fielded at kick-off.
Arezzo
- 9D. Moscardelli
- 18A. Polidori
- 25Pietro Arcidiacono
- 7M. Corradi
- 8F. Foglia
- 11Paolo Grossi
- 3Sergio Sabatino
- 6L. Milesi
- 16A. Luciani
- 23A. Sirri
- 1Massimiliano Benassi
Robur Siena
- 9Ettore Mendicino
- 10A. Marotta
- 20P. Grillo
- 6F. Gentile
- 7Ivan Castiglia
- 24A. Doninelli
- 14D. D'Ambrosio
- 15D. Iapichino
- 17M. Stankevičius
- 27Leonardo Terigi
- 1S. Moschin
What is the recent form of both teams?
Over their last 3 matches in all competitions, Arezzo have 1 win, 1 draw and 1 defeat; Robur Siena have 2, 4 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 4, 2016 | Carrarese(away) | 3-1 | Serie C - Girone A |
| Aug 28, 2016 | Como(home) | 2-2 | Serie C - Girone A |
| Aug 7, 2016 | Cesena(away) | 0-2 | Coppa Italia |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 4, 2016 | Giana Erminio(home) | 1-2 | Serie C - Girone A |
| Aug 28, 2016 | Pontedera(away) | 1-1 | Serie C - Girone A |
| May 19, 2013 | AC Milan(home) | 1-2 | Serie A |
| May 12, 2013 | Napoli(away) | 1-2 | Serie A |
| May 8, 2013 | Fiorentina(home) | 0-1 | Serie A |
How many goals should we expect?
Arezzo score 1.7 and concede 1.7 goals per match over their last 3; Robur Siena score 0.7 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Arezzo | 1.7 | 1.7 | 0 | 2/3 | 2/3 |
| Robur Siena | 0.7 | 1.7 | 2 | 7/15 | 9/15 |
Over the last 3 matches in all competitions.
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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