Libertas vs Cosmos: result 3-0 and analysis
CampionatoRegular Season - 11Kick-off on December 3, 2016 at 02:00 PM (UTC)Campo Sportivo di Borgo Maggiore, Borgo Maggiore
Full time
What was the result of Libertas vs Cosmos?
Libertas won 3-0 on December 3, 2016.
Goalscorers
- 28′Simone RossiLibertas
- 66′Davide SimonciniLibertas
- 72′Marco CasadeiLibertas
What is the recent form of both teams?
Over their last 10 matches in all competitions, Libertas have 6 wins, 2 draws and 2 defeats; Cosmos have 4, 1 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 26, 2016 | Virtus(home) | 0-2 | Campionato |
| Nov 19, 2016 | Juvenes / Dogana(away) | 0-0 | Campionato |
| Nov 16, 2016 | Faetano(away) | 2-1 | Campionato |
| Nov 5, 2016 | San Giovanni(home) | 0-0 | Campionato |
| Oct 23, 2016 | Murata(home) | 2-0 | Campionato |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Nov 5, 2016 | La Fiorita(away) | 3-3 | Campionato |
| Oct 16, 2016 | Tre Fiori(away) | 1-0 | Campionato |
How many goals should we expect?
Libertas score 1.4 and concede 0.7 goals per match over their last 10; Cosmos score 2.1 and concede 2.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Libertas | 1.4 | 0.7 | 4 | 4/10 | 4/10 |
| Cosmos | 2.1 | 2.4 | 3 | 8/12 | 10/12 |
Over the last 10 matches in all competitions.
Where do both teams sit in the table?
Libertas sit 6th in Campionato (8 points from 5 matches) and Cosmos sit 8th (7 points from 4 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Libertas | 5 | 2 | 2 | 1 | 6 | 6 | 8 |
| 8 | Cosmos | 4 | 2 | 1 | 1 | 9 | 4 | 7 |
A question about Libertas 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