Perugia U19 vs Viterbese Castrense U19: result 1-1 and analysis
Campionato Primavera - 2Group B - 2Kick-off on September 17, 2022 at 01:00 PM (UTC)Centro Sportivo Paolo Rossi Campo 2, Perugia
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What was the result of Perugia U19 vs Viterbese Castrense U19?
Perugia U19 and Viterbese Castrense U19 drew 1-1 on September 17, 2022.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Perugia U19 have 7 wins, 3 draws and 5 defeats; Viterbese Castrense U19 have 1, 0 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 10, 2022 | Pisa U19(away) | 2-1 | Campionato Primavera - 2 |
| Aug 31, 2022 | Ascoli U19(home) | 3-4 | Coppa Italia Primavera |
| May 7, 2022 | Parma U19(away) | 0-7 | Campionato Primavera - 2 |
| Apr 30, 2022 | Parma U19(home) | 3-3 | Campionato Primavera - 2 |
| Apr 23, 2022 | Ternana U19(home) | 3-0 | Campionato Primavera - 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 10, 2022 | Pescara U19(home) | 0-5 | Campionato Primavera - 2 |
| Aug 31, 2022 | Crotone U19(away) | 0-1 | Coppa Italia Primavera |
| Aug 24, 2022 | Ternana U19(away) | 3-1 | Coppa Italia Primavera |
How many goals should we expect?
Perugia U19 score 1.9 and concede 1.7 goals per match over their last 15; Viterbese Castrense U19 score 1.0 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Perugia U19 | 1.9 | 1.7 | 5 | 8/15 | 12/15 |
| Viterbese Castrense U19 | 1.0 | 2.3 | 0 | 1/3 | 2/3 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Perugia U19 | 7 | 5 | 0 | 2 | 18 | 4 | 15 |
A question about Perugia U19 vs Viterbese Castrense U19?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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