Pordenone U19 vs AlbinoLeffe U19: result 0-1 and analysis
Campionato Primavera - 2Group A - 15Kick-off on January 21, 2023 at 01:30 PM (UTC)
Full time
What was the result of Pordenone U19 vs AlbinoLeffe U19?
AlbinoLeffe U19 won 0-1 on January 21, 2023.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Pordenone U19 have 3 wins, 2 draws and 10 defeats; AlbinoLeffe U19 have 6, 2 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 14, 2023 | Alessandria U19(away) | 3-1 | Campionato Primavera - 2 |
| Dec 17, 2022 | Reggiana U19(home) | 1-4 | Campionato Primavera - 2 |
| Dec 10, 2022 | FeralpiSalò U19(away) | 1-2 | Campionato Primavera - 2 |
| Dec 3, 2022 | Parma U19(away) | 1-1 | Campionato Primavera - 2 |
| Nov 26, 2022 | Cittadella U19(home) | 1-5 | Campionato Primavera - 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 14, 2023 | Padova U19(home) | 1-0 | Campionato Primavera - 2 |
| Dec 17, 2022 | Vicenza U19(away) | 2-0 | Campionato Primavera - 2 |
| Dec 10, 2022 | SPAL U19(home) | 1-2 | Campionato Primavera - 2 |
| Dec 3, 2022 | Venezia U19(home) | 3-1 | Campionato Primavera - 2 |
| Nov 26, 2022 | Reggiana U19(away) | 2-2 | Campionato Primavera - 2 |
How many goals should we expect?
Pordenone U19 score 1.1 and concede 3.1 goals per match over their last 15; AlbinoLeffe U19 score 1.4 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Pordenone U19 | 1.1 | 3.1 | 1 | 10/15 | 13/15 |
| AlbinoLeffe U19 | 1.4 | 1.7 | 4 | 8/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | AlbinoLeffe U19 | 30 | 14 | 5 | 11 | 57 | 58 | 47 |
A question about Pordenone U19 vs AlbinoLeffe U19?
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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy