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 wins, 1 draws 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 15th in Campionato (11 points from 30 matches) and Cosmos sit 8th (42 points from 30 matches).
The current season has no played match yet: final standings of the 2025-26 season.
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | Cosmos | 30 | 11 | 9 | 10 | 30 | 23 | 42 |
| 15 | Cailungo | 30 | 2 | 5 | 23 | 23 | 71 | 11 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy