Paradiso vs Lugano II: result 1-0 and analysis
1. Liga Classic - Group 3Group 3 - 14Kick-off on November 12, 2022 at 04:00 PM (UTC)Campo Pian Scairolo, Collina d’Oro
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What was the result of Paradiso vs Lugano II?
Paradiso won 1-0 on November 12, 2022.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Paradiso have 9 wins, 2 draws and 4 defeats; Lugano II have 9, 1 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 5, 2022 | Wettswil-Bonstetten(away) | 0-0 | 1. Liga Classic - Group 3 |
| Oct 29, 2022 | Freienbach(home) | 5-0 | 1. Liga Classic - Group 3 |
| Oct 15, 2022 | Höngg(home) | 0-1 | 1. Liga Classic - Group 3 |
| Oct 8, 2022 | Gossau(away) | 3-2 | 1. Liga Classic - Group 3 |
| Oct 1, 2022 | Uzwil(home) | 2-1 | 1. Liga Classic - Group 3 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 5, 2022 | Gossau(home) | 3-2 | 1. Liga Classic - Group 3 |
| Oct 29, 2022 | Uzwil(away) | 0-4 | 1. Liga Classic - Group 3 |
| Oct 15, 2022 | Kreuzlingen(home) | 0-1 | 1. Liga Classic - Group 3 |
| Oct 8, 2022 | Weesen(away) | 3-0 | 1. Liga Classic - Group 3 |
| Oct 1, 2022 | Tuggen(home) | 1-1 | 1. Liga Classic - Group 3 |
What does the head-to-head say?
Across the last 2 meetings: 1 Paradiso win(s), 1 draw(s), 0 Lugano II win(s).
| Date | Score | Competition |
|---|---|---|
| Mar 5, 2022 | Paradiso 0-0 Lugano II | 1. Liga Classic - Group 3 |
| Aug 29, 2021 | Lugano II 2-3 Paradiso | 1. Liga Classic - Group 3 |
How many goals should we expect?
Paradiso score 2.0 and concede 1.1 goals per match over their last 15; Lugano II score 1.9 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Paradiso | 2.0 | 1.1 | 6 | 8/15 | 10/15 |
| Lugano II | 1.9 | 1.4 | 3 | 9/15 | 12/15 |
Over the last 15 matches in all competitions.
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