Novara vs Frosinone: result 2-1 and analysis
Serie BRegular Season - 8Kick-off on October 8, 2017 at 06:30 PM (UTC)Stadio Comunale Silvio Piola, Novara
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What was the result of Novara vs Frosinone?
Novara won 2-1 on October 8, 2017.
Goalscorers
- 51′M. ChajiaNovara
- 66′A. BeghettoNovara (o.g.)
- 87′D. SoddimoFrosinone
What is the recent form of both teams?
Over their last 15 matches in all competitions, Novara have 5 wins, 1 draws and 9 defeats; Frosinone have 8, 3 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 1, 2017 | Foggia(away) | 2-2 | Serie B |
| Sep 23, 2017 | Avellino(home) | 1-2 | Serie B |
| Sep 19, 2017 | Spezia(away) | 0-1 | Serie B |
| Sep 16, 2017 | Cittadella(home) | 1-0 | Serie B |
| Sep 9, 2017 | Ascoli(away) | 2-1 | Serie B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 2, 2017 | Cremonese(home) | 0-0 | Serie B |
| Sep 23, 2017 | Perugia(away) | 0-1 | Serie B |
| Sep 19, 2017 | Ascoli(away) | 1-0 | Serie B |
| Sep 16, 2017 | Bari(home) | 3-2 | Serie B |
| Sep 8, 2017 | Pescara(away) | 3-3 | Serie B |
What does the head-to-head say?
Across the last 2 meetings: 1 Novara win(s), 0 draw(s), 1 Frosinone win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 17, 2017 | Frosinone 2-3 Novara | Serie B |
| Nov 20, 2016 | Novara 1-2 Frosinone | Serie B |
How many goals should we expect?
Novara score 1.1 and concede 1.4 goals per match over their last 15; Frosinone score 1.4 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Novara | 1.1 | 1.4 | 3 | 7/15 | 7/15 |
| Frosinone | 1.4 | 1.0 | 6 | 7/15 | 7/15 |
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 | Frosinone | 38 | 23 | 12 | 3 | 76 | 34 | 81 |
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