Murata vs Cosmos: result 0-1 and analysis
CampionatoRegular Season - 13Kick-off on February 5, 2017 at 02:00 PM (UTC)Stadio Fonte Dell'Ovo, Città di San Marino
Full time
What was the result of Murata vs Cosmos?
Cosmos won 0-1 on February 5, 2017.
Goalscorers
- 7′Matteo CamilliniCosmos
What is the recent form of both teams?
Over their last 11 matches in all competitions, Murata have 3 wins, 2 draws and 6 defeats; Cosmos have 5, 1 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 10, 2016 | Virtus(away) | 1-2 | Campionato |
| Dec 3, 2016 | Juvenes / Dogana(away) | 1-2 | Campionato |
| Nov 27, 2016 | La Fiorita(home) | 0-4 | Campionato |
| Nov 19, 2016 | Tre Fiori(home) | 1-3 | Campionato |
| Nov 6, 2016 | Cailungo(home) | 1-0 | Campionato |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 10, 2016 | San Giovanni(home) | 5-1 | Campionato |
| Dec 3, 2016 | Libertas(away) | 0-3 | Campionato |
| Nov 27, 2016 | Domagnano(home) | 1-5 | Campionato |
| Nov 20, 2016 | Pennarossa(away) | 5-0 | Campionato |
| Nov 15, 2016 | Tre Penne(away) | 2-5 | Campionato |
How many goals should we expect?
Murata score 1.4 and concede 2.1 goals per match over their last 11; Cosmos score 2.1 and concede 2.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Murata | 1.4 | 2.1 | 1 | 7/11 | 8/11 |
| Cosmos | 2.1 | 2.4 | 3 | 9/14 | 12/14 |
Over the last 11 matches in all competitions.
Where do both teams sit in the table?
Murata sit 13th in Campionato (3 points from 5 matches) and Cosmos sit 8th (7 points from 4 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | Cosmos | 4 | 2 | 1 | 1 | 9 | 4 | 7 |
| 13 | Murata | 5 | 1 | 0 | 4 | 4 | 13 | 3 |
A question about Murata vs Cosmos?
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