Frosinone vs Novara: result 2-3 and analysis
Serie BRegular Season - 36Kick-off on April 17, 2017 at 01:00 PM (UTC)Stadio Benito Stirpe, Frosinone
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What was the result of Frosinone vs Novara?
Novara won 2-3 on April 17, 2017.
Goalscorers
- 12′F. MachedaNovara
- 22′D. CiofaniFrosinone (pen.)
- 35′A. GalabinovNovara (pen.)
- 64′F. MachedaNovara
- 90′B. Mokulu TembeFrosinone
What is the recent form of both teams?
Over their last 15 matches in all competitions, Frosinone have 6 wins, 6 draws and 3 defeats; Novara have 5, 7 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 8, 2017 | Ascoli(away) | 1-1 | Serie B |
| Apr 3, 2017 | Avellino(home) | 1-1 | Serie B |
| Mar 31, 2017 | Cesena(away) | 1-1 | Serie B |
| Mar 26, 2017 | Spal(away) | 2-0 | Serie B |
| Mar 18, 2017 | Vicenza Virtus(home) | 3-1 | Serie B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 10, 2017 | Hellas Verona(home) | 2-2 | Serie B |
| Apr 4, 2017 | Spal(away) | 0-2 | Serie B |
| Apr 1, 2017 | Ternana(home) | 1-2 | Serie B |
| Mar 26, 2017 | Bari(away) | 0-0 | Serie B |
| Mar 18, 2017 | Avellino(away) | 1-1 | Serie B |
What does the head-to-head say?
Across the last 1 meetings: 1 Frosinone win(s), 0 draw(s), 0 Novara win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 20, 2016 | Novara 1-2 Frosinone | Serie B |
How many goals should we expect?
Frosinone score 1.0 and concede 0.7 goals per match over their last 15; Novara score 1.0 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Frosinone | 1.0 | 0.7 | 6 | 7/15 | 2/15 |
| Novara | 1.0 | 0.9 | 5 | 9/15 | 6/15 |
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