Tre Fiori vs Cosmos: prediction and stats
Coppa TitanoQuarter-finalsKick-off on December 2, 2020 at 07:45 PM (UTC)Campo Sportivo di Acquaviva, Acquaviva
Match postponed, new date to be confirmed
What is the recent form of both teams?
Over their last 15 matches in all competitions, Tre Fiori have 8 wins, 3 draws and 4 defeats; Cosmos have 4, 2 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 24, 2020 | Murata(home) | 0-0 | Campionato |
| Oct 21, 2020 | Pennarossa(home) | 2-0 | Coppa Titano |
| Oct 17, 2020 | Folgore(away) | 0-1 | Campionato |
| Oct 4, 2020 | Faetano(home) | 3-0 | Campionato |
| Sep 30, 2020 | Pennarossa(away) | 1-2 | Coppa Titano |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 21, 2020 | Cailungo(away) | 1-2 | Coppa Titano |
| Oct 3, 2020 | Libertas(home) | 0-2 | Campionato |
| Sep 29, 2020 | Cailungo(home) | 3-0 | Coppa Titano |
| Sep 26, 2020 | Faetano(away) | 2-1 | Campionato |
| Sep 22, 2020 | Tre Fiori(home) | 1-6 | Campionato |
What does the head-to-head say?
Across the last 4 meetings: 2 Tre Fiori wins, 0 draws, 2 Cosmos wins.
| Date | Score | Competition |
|---|---|---|
| Sep 22, 2020 | Cosmos 1-6 Tre Fiori | Campionato |
| Dec 2, 2017 | Cosmos 1-3 Tre Fiori | Campionato |
| Apr 4, 2017 | Cosmos 3-2 Tre Fiori | Campionato |
| Oct 16, 2016 | Tre Fiori 0-1 Cosmos | Campionato |
How many goals should we expect?
Tre Fiori score 1.9 and concede 0.9 goals per match over their last 15; Cosmos score 1.1 and concede 2.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tre Fiori | 1.9 | 0.9 | 5 | 7/15 | 7/15 |
| Cosmos | 1.1 | 2.2 | 3 | 7/15 | 10/15 |
Over the last 15 matches in all competitions.
A question about Tre Fiori 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