Ascoli vs Ternana: result 2-1 and analysis
Serie BRegular Season - 31Kick-off on March 17, 2018 at 02:00 PM (UTC)Stadio Cino e Lillo Del Duca, Ascoli Piceno
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What was the result of Ascoli vs Ternana?
Ascoli won 2-1 on March 17, 2018.
Goalscorers
- 20′E. PadellaAscoli
- 48′Daniele GasparettoTernana
- 85′G. MonachelloAscoli (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Ascoli have 3 wins, 4 draws and 8 defeats; Ternana have 2, 5 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 10, 2018 | Venezia(away) | 0-1 | Serie B |
| Mar 3, 2018 | Salernitana(home) | 1-3 | Serie B |
| Feb 27, 2018 | Palermo(away) | 1-4 | Serie B |
| Feb 24, 2018 | Cesena(home) | 2-1 | Serie B |
| Feb 18, 2018 | Frosinone(away) | 0-2 | Serie B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 10, 2018 | Spezia(away) | 1-1 | Serie B |
| Mar 3, 2018 | Cremonese(home) | 2-1 | Serie B |
| Feb 27, 2018 | Venezia(away) | 0-2 | Serie B |
| Feb 24, 2018 | Bari(home) | 1-2 | Serie B |
| Feb 18, 2018 | Brescia(away) | 1-3 | Serie B |
What does the head-to-head say?
Across the last 3 meetings: 1 Ascoli win(s), 1 draw(s), 1 Ternana win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 21, 2017 | Ternana 1-1 Ascoli | Serie B |
| May 18, 2017 | Ascoli 1-2 Ternana | Serie B |
| Dec 30, 2016 | Ternana 0-1 Ascoli | Serie B |
How many goals should we expect?
Ascoli score 0.8 and concede 1.5 goals per match over their last 15; Ternana score 1.4 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ascoli | 0.8 | 1.5 | 2 | 9/15 | 6/15 |
| Ternana | 1.4 | 1.9 | 0 | 12/15 | 9/15 |
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