Match

Persebaya Surabaya vs PSM Makassar: result 3-0 and analysis

Liga 1Liga 1 - Round 30Kick-off on November 10, 2018 at 10:30 AM (UTC)Stadion Gelora Bung Tomo, Surabaya

Persebaya Surabaya
3-0
PSM Makassar

Full time

What was the result of Persebaya Surabaya vs PSM Makassar?

Persebaya Surabaya won 3-0 on November 10, 2018.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Persebaya Surabaya have 6 wins, 1 draw and 8 defeats; PSM Makassar have 8, 4 and 3.

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

Persebaya Surabaya
DateOpponentScoreCompetition
Nov 4, 2018Persija Jakarta(home)3-0Liga 1
Oct 30, 2018Persipura Jayapura(away)1-3Liga 1
Oct 25, 2018Persepam Madura Utd(home)4-0Liga 1
Oct 20, 2018Persib Bandung(away)4-1Liga 1
Oct 13, 2018Pusamania Borneo(home)0-1Liga 1
PSM Makassar
DateOpponentScoreCompetition
Nov 4, 2018Persipura Jayapura(home)4-2Liga 1
Oct 29, 2018Persepam Madura Utd(away)0-3Liga 1
Oct 24, 2018Persib Bandung(home)1-0Liga 1
Oct 19, 2018Pusamania Borneo(away)2-1Liga 1
Oct 14, 2018Arema FC(home)2-1Liga 1

What does the head-to-head say?

In the last meeting: 0 Persebaya Surabaya wins, 0 draws, 1 PSM Makassar win.

DateScoreCompetition
Jun 9, 2018PSM Makassar 1-0 Persebaya SurabayaLiga 1

Last archived meeting: PSM Makassar vs Persebaya Surabaya on Jun 9, 2018

How many goals should we expect?

Persebaya Surabaya score 2.8 and concede 1.6 goals per match over their last 15; PSM Makassar score 1.7 and concede 1.3.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Persebaya Surabaya2.81.638/1511/15
PSM Makassar1.71.3211/159/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

Persebaya Surabaya sit 8th in Liga 1 (13 points from 9 matches) and PSM Makassar sit 12th (10 points from 9 matches).

2026-27 standings
#ClubPWDLGFGAPts
8Persebaya Surabaya934210813
12PSM Makassar9243101410

A question about Persebaya Surabaya vs PSM Makassar?

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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

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Next match: Persebaya Surabaya and PSM Makassar