Ascoli vs Cosenza: result 3-2 and analysis
Serie BRegular Season - 13Kick-off on November 24, 2019 at 02:00 PM (UTC)Stadio Cino e Lillo Del Duca, Ascoli Piceno
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What was the result of Ascoli vs Cosenza?
Ascoli won 3-2 on November 24, 2019.
Goalscorers
- 16′E. RivièreCosenza
- 21′Mirko BrucciniCosenza (pen.)
- 38′N. NinkovićAscoli
- 71′G. ScamaccaAscoli
- 88′G. ScamaccaAscoli
What is the recent form of both teams?
Over their last 15 matches in all competitions, Ascoli have 7 wins, 2 draws and 6 defeats; Cosenza have 3, 7 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 8, 2019 | Crotone(away) | 1-3 | Serie B |
| Nov 2, 2019 | Venezia(home) | 1-1 | Serie B |
| Oct 29, 2019 | Perugia(away) | 1-1 | Serie B |
| Oct 25, 2019 | Virtus Entella(home) | 2-1 | Serie B |
| Oct 20, 2019 | Chievo(away) | 0-2 | Serie B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 10, 2019 | Trapani(away) | 2-2 | Serie B |
| Nov 4, 2019 | Cremonese(home) | 2-0 | Serie B |
| Oct 29, 2019 | Virtus Entella(away) | 0-1 | Serie B |
| Oct 26, 2019 | Chievo(home) | 1-1 | Serie B |
| Oct 18, 2019 | Cittadella(away) | 3-1 | Serie B |
What does the head-to-head say?
Across the last 2 meetings: 0 Ascoli win(s), 2 draw(s), 0 Cosenza win(s).
| Date | Score | Competition |
|---|---|---|
| Jan 20, 2019 | Cosenza 0-0 Ascoli | Serie B |
| Aug 26, 2018 | Ascoli 1-1 Cosenza | Serie B |
How many goals should we expect?
Ascoli score 1.7 and concede 1.3 goals per match over their last 15; Cosenza score 1.0 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ascoli | 1.7 | 1.3 | 3 | 8/15 | 8/15 |
| Cosenza | 1.0 | 1.0 | 2 | 9/15 | 4/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Ascoli | 1 | 1 | 0 | 0 | 2 | 1 | 3 |
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