Íbis vs Salgueiro: result 2-1 and analysis
Pernambucano - 11st Phase - 2Kick-off on January 30, 2022 at 06:00 PM (UTC)Estádio Eládio de Barros Carvalho, Recife, Pernambuco
Full time
What was the result of Íbis vs Salgueiro?
Íbis won 2-1 on January 30, 2022.
Goalscorers
- 36′KelvenÍbis
- 56′Pedro MayconSalgueiro
- 85′Lucas Matheus Silva Wanderley de SantanaÍbis
Official lineup for Íbis vs Salgueiro
The starting elevens fielded at kick-off.
Íbis
- RRosivaldo Claudino da Silva
- MMatheusinho
- KKelven
- RRoberto
- CCelestino
- PPablo
- FFelipe de Almeida Silva
- OOséas de Lima Neres
- VVitor Leão
- WWildson
- PPeixe
Salgueiro
- HHudson
- WWescley
- RRobinho
- VValdeir
- CCal
- HHebert
- LLucão Gomes
- RRonaldo Barbosa de Jesus
- LLucas Franco
- EEduardo Favero
- JJerfesson
What is the recent form of both teams?
In their last match in all competitions, Íbis have 0 wins, 0 draws and 1 defeat; Salgueiro have 4, 5 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 22, 2022 | Nautico Recife(away) | 0-3 | Pernambucano - 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 23, 2022 | Caruaru City(home) | 2-2 | Pernambucano - 1 |
| Sep 5, 2021 | America-RN(home) | 2-1 | Serie D |
| Aug 27, 2021 | Caucaia(away) | 1-1 | Serie D |
| May 10, 2021 | Sport Recife(away) | 0-1 | Pernambucano - 1 |
| May 5, 2021 | Vera Cruz(home) | 2-1 | Pernambucano - 1 |
How many goals should we expect?
Íbis score 0.0 and concede 3.0 goals per match in their last match; Salgueiro score 1.1 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Íbis | 0.0 | 3.0 | 0 | 0/1 | 1/1 |
| Salgueiro | 1.1 | 1.4 | 3 | 9/15 | 7/15 |
Over the last match in all competitions.
A question about Íbis vs Salgueiro?
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