Match

Persela Lamongan vs PSIS Semarang: result 1-2 and analysis

Liga 1Regular Season - 34Kick-off on March 29, 2022 at 08:15 AM (UTC)Stadion Kapten I Wayan Dipta, Gianyar

Persela Lamongan
1-2
PSIS Semarang

Full time

What was the result of Persela Lamongan vs PSIS Semarang?

PSIS Semarang won 1-2 on March 29, 2022.

Goalscorers

  • 12′333195PSIS Semarang
  • 31′68363PSIS Semarang
  • 39′WilksonPersela Lamongan (pen.)

What is the recent form of both teams?

Over their last 15 matches in all competitions, Persela Lamongan have 0 wins, 6 draws and 9 defeats; PSIS Semarang have 2, 7 and 6.

The competition is shown for every match: in pre-season, several of these games are friendlies.

Persela Lamongan
DateOpponentScoreCompetition
Mar 24, 2022PSS Sleman(away)2-3Liga 1
Mar 20, 2022Bhayangkara FC(home)0-4Liga 1
Mar 14, 2022PSM Makassar(away)2-2Liga 1
Mar 9, 2022PS TIRA(home)2-3Liga 1
Mar 5, 2022Pusamania Borneo(away)0-2Liga 1
PSIS Semarang
DateOpponentScoreCompetition
Mar 24, 2022Persipura Jayapura(home)0-4Liga 1
Mar 20, 2022Persita(home)3-3Liga 1
Mar 16, 2022PSS Sleman(away)1-0Liga 1
Mar 12, 2022Bhayangkara FC(home)1-1Liga 1
Mar 7, 2022Bhayangkara FC(away)1-2Liga 1

What does the head-to-head say?

Across the last 6 meetings: 0 Persela Lamongan win(s), 1 draw(s), 5 PSIS Semarang win(s).

DateScoreCompetition
Sep 4, 2021PSIS Semarang 1-0 Persela LamonganLiga 1
Mar 7, 2020Persela Lamongan 2-3 PSIS SemarangLiga 1
Oct 18, 2019Persela Lamongan 0-1 PSIS SemarangLiga 1
Jul 6, 2019PSIS Semarang 2-0 Persela LamonganLiga 1
Oct 5, 2018Persela Lamongan 1-1 PSIS SemarangLiga 1
May 7, 2018PSIS Semarang 3-1 Persela LamonganLiga 1

Last archived meeting: PSIS Semarang vs Persela Lamongan on Sep 4, 2021

How many goals should we expect?

Persela Lamongan score 1.1 and concede 2.1 goals per match over their last 15; PSIS Semarang score 0.7 and concede 1.2.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Persela Lamongan1.12.1010/159/15
PSIS Semarang0.71.267/156/15

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

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