Lusitânia Lourosa vs Resende: result 3-3 and analysis
Campeonato de Portugal Prio - Group BGroup B - 4Kick-off on October 23, 2022 at 02:00 PM (UTC)Estádio do Lusitânia FC, Lourosa
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What was the result of Lusitânia Lourosa vs Resende?
Lusitânia Lourosa and Resende drew 3-3 on October 23, 2022.
Goalscorers
- 33′IvanildoLusitânia Lourosa
- 45′Ouvido LourençoResende
- 60′Ouvido LourençoResende
- 69′K. KalungaLusitânia Lourosa
- 85′Ouvido LourençoResende
- 90′Diogo RosadoLusitânia Lourosa
What is the recent form of both teams?
Over their last 15 matches in all competitions, Lusitânia Lourosa have 3 wins, 6 draws and 6 defeats; Resende have 2, 0 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 9, 2022 | Gondomar(away) | 0-0 | Campeonato de Portugal Prio - Group B |
| Sep 25, 2022 | Salgueiros(home) | 0-1 | Campeonato de Portugal Prio - Group B |
| Sep 18, 2022 | Rebordosa(away) | 1-2 | Campeonato de Portugal Prio - Group B |
| Sep 11, 2022 | Oliveira Hospital(away) | 0-1 | Taça de Portugal |
| May 1, 2022 | Canelas 2010(away) | 0-0 | Liga 3 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 9, 2022 | Machico(home) | 1-2 | Campeonato de Portugal Prio - Group B |
| Oct 2, 2022 | Felgueiras 1932(home) | 1-2 | Taça de Portugal |
| Sep 25, 2022 | Gondomar(away) | 2-3 | Campeonato de Portugal Prio - Group B |
| Sep 18, 2022 | Leça(home) | 0-1 | Campeonato de Portugal Prio - Group B |
| Sep 11, 2022 | Leça(away) | 2-1 | Taça de Portugal |
How many goals should we expect?
Lusitânia Lourosa score 0.8 and concede 1.1 goals per match over their last 15; Resende score 1.0 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Lusitânia Lourosa | 0.8 | 1.1 | 6 | 5/15 | 4/15 |
| Resende | 1.0 | 1.7 | 1 | 4/7 | 5/7 |
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