Murata vs Tre Fiori: result 1-3 and analysis
CampionatoRegular Season - 9Kick-off on November 19, 2016 at 02:00 PM (UTC)Stadio Fonte Dell'Ovo, Città di San Marino
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What was the result of Murata vs Tre Fiori?
Tre Fiori won 1-3 on November 19, 2016.
Goalscorers
- 16′Massimo CamilliTre Fiori
- 31′Paolo VerriTre Fiori
- 64′Francesco SterniniMurata
- 73′Massimo CamilliTre Fiori
What is the recent form of both teams?
Over their last 7 matches in all competitions, Murata have 3 wins, 2 draws and 2 defeats; Tre Fiori have 1, 2 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 6, 2016 | Cailungo(home) | 1-0 | Campionato |
| Oct 23, 2016 | Libertas(away) | 0-2 | Campionato |
| Oct 15, 2016 | Domagnano(away) | 2-2 | Campionato |
| Oct 1, 2016 | Tre Penne(home) | 1-1 | Campionato |
| Sep 24, 2016 | San Giovanni(home) | 5-2 | Campionato |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 15, 2016 | Folgore(home) | 1-2 | Campionato |
| Nov 6, 2016 | Faetano(away) | 1-1 | Campionato |
| Oct 22, 2016 | Fiorentino(home) | 0-0 | Campionato |
| Oct 16, 2016 | Cosmos(home) | 0-1 | Campionato |
| Sep 25, 2016 | Juvenes / Dogana(home) | 3-2 | Campionato |
How many goals should we expect?
Murata score 1.7 and concede 1.7 goals per match over their last 7; Tre Fiori score 1.0 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Murata | 1.7 | 1.7 | 1 | 4/7 | 4/7 |
| Tre Fiori | 1.0 | 2.0 | 1 | 6/9 | 6/9 |
Over the last 7 matches in all competitions.
Where do both teams sit in the table?
Murata sit 13th in Campionato (3 points from 5 matches) and Tre Fiori sit 2nd (12 points from 5 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Tre Fiori | 5 | 4 | 0 | 1 | 15 | 5 | 12 |
| 13 | Murata | 5 | 1 | 0 | 4 | 4 | 13 | 3 |
A question about Murata vs Tre Fiori?
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