Londrina vs São Bernardo: result 2-0 and analysis
Serie CRegular Season - 5Kick-off on May 19, 2024 at 07:30 PM (UTC)Estádio Municipal Jacy Scaff, Londrina, Paraná
Full time
What was the result of Londrina vs São Bernardo?
Londrina won 2-0 on May 19, 2024.
Goalscorers
- 20′Iago TelesLondrina (pen.)
- 75′Maurício Júnior Lima RodriguesLondrina
What is the recent form of both teams?
Over their last 15 matches in all competitions, Londrina have 5 wins, 6 draws and 4 defeats; São Bernardo have 7, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 11, 2024 | ABC(away) | 2-0 | Serie C |
| May 6, 2024 | CSA(home) | 2-2 | Serie C |
| Apr 28, 2024 | Ypiranga-RS(home) | 0-4 | Serie C |
| Apr 22, 2024 | Confiança(away) | 1-1 | Serie C |
| Mar 10, 2024 | Atletico Paranaense(away) | 0-6 | Paranaense - 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 13, 2024 | Aparecidense(away) | 1-1 | Serie C |
| May 6, 2024 | Ferroviario(home) | 5-0 | Serie C |
| Apr 27, 2024 | Tombense(home) | 4-2 | Serie C |
| Apr 21, 2024 | Nautico Recife(away) | 1-1 | Serie C |
| Mar 15, 2024 | Corinthians(home) | 0-2 | Copa Do Brasil |
How many goals should we expect?
Londrina score 1.5 and concede 1.7 goals per match over their last 15; São Bernardo score 1.5 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Londrina | 1.5 | 1.7 | 3 | 10/15 | 9/15 |
| São Bernardo | 1.5 | 1.0 | 6 | 6/15 | 4/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Londrina sit 4th in Serie C (30 points from 19 matches) and São Bernardo sit 5th (30 points from 19 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Londrina | 19 | 8 | 6 | 5 | 27 | 19 | 30 |
| 5 | São Bernardo | 19 | 8 | 6 | 5 | 19 | 15 | 30 |
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