Benevento U19 vs Ternana U19: result 1-2 and analysis
Campionato Primavera - 2Group B - 9Kick-off on November 20, 2021 at 10:00 AM (UTC)Antistadio Carmelo Imbriani, Benevento
Full time
What was the result of Benevento U19 vs Ternana U19?
Ternana U19 won 1-2 on November 20, 2021.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Benevento U19 have 4 wins, 3 draws and 8 defeats; Ternana U19 have 0, 2 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 6, 2021 | Salernitana U19(away) | 2-1 | Campionato Primavera - 2 |
| Oct 30, 2021 | Frosinone U19(home) | 0-1 | Campionato Primavera - 2 |
| Oct 16, 2021 | Crotone U19(home) | 1-2 | Campionato Primavera - 2 |
| Oct 2, 2021 | Perugia U19(away) | 2-6 | Campionato Primavera - 2 |
| Sep 25, 2021 | Ascoli U19(home) | 4-3 | Campionato Primavera - 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 6, 2021 | Crotone U19(home) | 2-2 | Campionato Primavera - 2 |
| Oct 30, 2021 | Cosenza U19(away) | 2-3 | Campionato Primavera - 2 |
| Oct 23, 2021 | Frosinone U19(away) | 1-4 | Campionato Primavera - 2 |
| Oct 16, 2021 | Spezia U19(home) | 0-2 | Campionato Primavera - 2 |
| Oct 2, 2021 | Lazio U19(away) | 0-4 | Campionato Primavera - 2 |
How many goals should we expect?
Benevento U19 score 1.7 and concede 2.5 goals per match over their last 15; Ternana U19 score 0.8 and concede 3.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Benevento U19 | 1.7 | 2.5 | 0 | 13/15 | 12/15 |
| Ternana U19 | 0.8 | 3.0 | 0 | 5/9 | 7/9 |
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 | Benevento U19 | 4 | 3 | 0 | 1 | 12 | 3 | 9 |
A question about Benevento U19 vs Ternana 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