Persekat vs Perserang: result 4-1 and analysis
Liga 21st Round - 10Kick-off on November 22, 2021 at 08:15 AM (UTC)Stadion Olahraga Tri Sanja, Slawi
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What was the result of Persekat vs Perserang?
Persekat won 4-1 on November 22, 2021.
Goalscorers
- 14′?Persekat
- 28′?Persekat
- 39′338087Persekat
- 45′?Perserang
- 73′?Persekat
What is the recent form of both teams?
Over their last 9 matches in all competitions, Persekat have 4 wins, 2 draws and 3 defeats; Perserang have 6, 1 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 15, 2021 | PSKC Cimahi(home) | 1-0 | Liga 2 |
| Nov 8, 2021 | Cilegon United(away) | 0-0 | Liga 2 |
| Nov 1, 2021 | Perseru Serui(away) | 1-1 | Liga 2 |
| Oct 25, 2021 | Dewa United(home) | 0-2 | Liga 2 |
| Oct 18, 2021 | Perserang(away) | 3-1 | Liga 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 16, 2021 | Cilegon United(home) | 1-2 | Liga 2 |
| Nov 9, 2021 | Dewa United(away) | 1-0 | Liga 2 |
| Nov 1, 2021 | PSKC Cimahi(away) | 2-1 | Liga 2 |
| Oct 25, 2021 | Perseru Serui(away) | 1-4 | Liga 2 |
| Oct 18, 2021 | Persekat(home) | 1-3 | Liga 2 |
What does the head-to-head say?
Across the last 1 meetings: 1 Persekat win(s), 0 draw(s), 0 Perserang win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 18, 2021 | Perserang 1-3 Persekat | Liga 2 |
Last archived meeting: Perserang vs Persekat on Oct 18, 2021
How many goals should we expect?
Persekat score 1.1 and concede 1.1 goals per match over their last 9; Perserang score 0.9 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Persekat | 1.1 | 1.1 | 3 | 4/9 | 4/9 |
| Perserang | 0.9 | 1.5 | 3 | 7/15 | 7/15 |
Over the last 9 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Persekat | 27 | 6 | 9 | 12 | 23 | 38 | 27 |
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