Pordenone vs Triestina: result 2-4 and analysis
Serie C - Girone ARegular Season - 12Kick-off on November 5, 2017 at 05:30 PM (UTC)Stadio Comunale Omero Tognon, Fontanafredda
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What was the result of Pordenone vs Triestina?
Triestina won 2-4 on November 5, 2017.
Goalscorers
- 3′G. MisuracaPordenone
- 50′M. TroianiTriestina
- 51′S. MagnaghiPordenone
- 53′Rachid ArmaTriestina
- 67′D. MensahTriestina
- 72′M. TroianiTriestina
What is the recent form of both teams?
Over their last 15 matches in all competitions, Pordenone have 8 wins, 6 draws and 1 defeats; Triestina have 4, 5 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 29, 2017 | Fermana(away) | 0-0 | Serie C - Girone A |
| Oct 22, 2017 | Mestre(home) | 2-2 | Serie C - Girone A |
| Oct 15, 2017 | Albinoleffe(away) | 1-1 | Serie C - Girone A |
| Oct 8, 2017 | Ravenna(home) | 2-1 | Serie C - Girone A |
| Oct 5, 2017 | Gubbio(home) | 2-2 | Serie C - Girone A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 28, 2017 | Santarcangelo(home) | 1-1 | Serie C - Girone A |
| Oct 23, 2017 | Vicenza Virtus(away) | 3-1 | Serie C - Girone A |
| Oct 15, 2017 | Bassano Virtus(away) | 1-1 | Serie C - Girone A |
| Oct 9, 2017 | Fermana(home) | 3-0 | Serie C - Girone A |
| Oct 4, 2017 | Albinoleffe(away) | 0-0 | Serie C - Girone A |
How many goals should we expect?
Pordenone score 1.7 and concede 1.1 goals per match over their last 15; Triestina score 1.7 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Pordenone | 1.7 | 1.1 | 5 | 10/15 | 9/15 |
| Triestina | 1.7 | 1.2 | 3 | 8/12 | 5/12 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 20 | Triestina | 38 | 9 | 9 | 20 | 45 | 59 | 12 |
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