Cailungo vs Cosmos: result 0-4 and analysis
CampionatoRegular Season - 15Kick-off on February 19, 2017 at 02:00 PM (UTC)Campo Sportivo di Borgo Maggiore, Borgo Maggiore
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What was the result of Cailungo vs Cosmos?
Cosmos won 0-4 on February 19, 2017.
Goalscorers
- 61′124411Cosmos
- 85′Matteo CamilliniCosmos
- 88′Daniel GiulianelliCosmos
- 90′124541Cosmos
What is the recent form of both teams?
Over their last 13 matches in all competitions, Cailungo have 1 win, 1 draw and 11 defeats; Cosmos have 5, 2 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 11, 2017 | Virtus(home) | 0-3 | Campionato |
| Feb 4, 2017 | Faetano(home) | 3-1 | Campionato |
| Dec 11, 2016 | Tre Fiori(away) | 1-2 | Campionato |
| Dec 3, 2016 | La Fiorita(home) | 1-5 | Campionato |
| Nov 26, 2016 | Fiorentino(home) | 0-1 | Campionato |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 11, 2017 | Folgore(home) | 0-0 | Campionato |
| Feb 5, 2017 | Murata(away) | 1-0 | Campionato |
| 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 |
How many goals should we expect?
Cailungo score 0.8 and concede 2.2 goals per match over their last 13; Cosmos score 1.7 and concede 2.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Cailungo | 0.8 | 2.2 | 0 | 7/13 | 7/13 |
| Cosmos | 1.7 | 2.2 | 4 | 9/15 | 11/15 |
Over the last 13 matches in all competitions.
Where do both teams sit in the table?
Cailungo sit 11th 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 |
| 11 | Cailungo | 5 | 1 | 0 | 4 | 5 | 7 | 3 |
A question about Cailungo 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