Cosenza vs Cremonese: result 2-0 and analysis
Serie BRegular Season - 24Kick-off on February 17, 2019 at 02:00 PM (UTC)Stadio San Vito-Luigi Marulla, Cosenza
Full time
What was the result of Cosenza vs Cremonese?
Cosenza won 2-0 on February 17, 2019.
Goalscorers
- 56′D. SciaudoneCremonese
- 88′Mirko BrucciniCremonese (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Cosenza have 5 wins, 5 draws and 5 defeats; Cremonese have 4, 4 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 10, 2019 | Livorno(away) | 0-2 | Serie B |
| Feb 2, 2019 | Cittadella(home) | 2-0 | Serie B |
| Jan 28, 2019 | Hellas Verona(away) | 2-2 | Serie B |
| Jan 20, 2019 | Ascoli(home) | 0-0 | Serie B |
| Dec 27, 2018 | Salernitana(home) | 0-0 | Serie B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 9, 2019 | Padova(home) | 0-0 | Serie B |
| Feb 2, 2019 | Spezia(away) | 0-2 | Serie B |
| Jan 26, 2019 | Palermo(home) | 2-0 | Serie B |
| Jan 20, 2019 | Pescara(away) | 0-0 | Serie B |
| Dec 30, 2018 | Perugia(home) | 4-0 | Serie B |
What does the head-to-head say?
In the last meeting: 0 Cosenza wins, 0 draws, 1 Cremonese win.
| Date | Score | Competition |
|---|---|---|
| Sep 26, 2018 | Cremonese 2-0 Cosenza | Serie B |
How many goals should we expect?
Cosenza score 0.9 and concede 1.1 goals per match over their last 15; Cremonese score 0.9 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Cosenza | 0.9 | 1.1 | 7 | 5/15 | 5/15 |
| Cremonese | 0.9 | 1.1 | 7 | 5/15 | 5/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 15 | Cremonese | 6 | 1 | 3 | 2 | 5 | 7 | 6 |
A question about Cosenza vs Cremonese?
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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