Kaya vs PSM Makassar: prediction and stats
AFC Champions League TwoGroup Stage - 4Kick-off on September 23, 2020 at 12:00 PM (UTC)Rizal Memorial Stadium, Manila
Match cancelled
What is the recent form of both teams?
Over their last 9 matches in all competitions, Kaya have 3 wins, 4 draws and 2 defeats; PSM Makassar have 5, 5 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 10, 2020 | PSM Makassar(away) | 1-1 | AFC Champions League Two |
| Feb 26, 2020 | Tampines Rovers(home) | 0-0 | AFC Champions League Two |
| Feb 12, 2020 | Shan United(away) | 2-0 | AFC Champions League Two |
| May 14, 2019 | Home United(away) | 0-2 | AFC Champions League Two |
| Apr 30, 2019 | Lao Toyota(home) | 5-1 | AFC Champions League Two |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 15, 2020 | Barito Putera(home) | 1-1 | Liga 1 |
| Mar 10, 2020 | Kaya(home) | 1-1 | AFC Champions League Two |
| Mar 6, 2020 | Persita(away) | 1-1 | Liga 1 |
| Mar 1, 2020 | PSS Sleman(home) | 2-1 | Liga 1 |
| Feb 26, 2020 | Shan United(home) | 3-1 | AFC Champions League Two |
What does the head-to-head say?
Across the last 3 meetings: 0 Kaya wins, 2 draws, 1 PSM Makassar win.
| Date | Score | Competition |
|---|---|---|
| Mar 10, 2020 | PSM Makassar 1-1 Kaya | AFC Champions League Two |
| Apr 17, 2019 | Kaya 1-2 PSM Makassar | AFC Champions League Two |
| Apr 2, 2019 | PSM Makassar 1-1 Kaya | AFC Champions League Two |
How many goals should we expect?
Kaya score 1.8 and concede 0.9 goals per match over their last 9; PSM Makassar score 1.7 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kaya | 1.8 | 0.9 | 3 | 5/9 | 3/9 |
| PSM Makassar | 1.7 | 1.6 | 1 | 13/15 | 9/15 |
Over the last 9 matches in all competitions.
A question about Kaya vs PSM Makassar?
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