PSKC Cimahi vs Perserang: result 1-2 and analysis
Liga 21st Round - 7Kick-off on November 1, 2021 at 01:30 PM (UTC)Stadion Wiradadaha Tasikmalaya, Tasikmalaya
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What was the result of PSKC Cimahi vs Perserang?
Perserang won 1-2 on November 1, 2021.
Goalscorers
- 34′?PSKC Cimahi
- 44′201646Perserang
- 78′?Perserang
What is the recent form of both teams?
Over their last 7 matches in all competitions, PSKC Cimahi have 1 wins, 0 draws and 6 defeats; Perserang have 6, 2 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 26, 2021 | Cilegon United(home) | 1-2 | Liga 2 |
| Oct 18, 2021 | Dewa United(away) | 0-2 | Liga 2 |
| Oct 11, 2021 | Persekat(home) | 0-1 | Liga 2 |
| Oct 4, 2021 | Perseru Serui(away) | 1-0 | Liga 2 |
| Sep 27, 2021 | Perserang(away) | 1-2 | Liga 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 25, 2021 | Perseru Serui(away) | 1-4 | Liga 2 |
| Oct 18, 2021 | Persekat(home) | 1-3 | Liga 2 |
| Oct 12, 2021 | Cilegon United(away) | 0-0 | Liga 2 |
| Oct 5, 2021 | Dewa United(home) | 0-2 | Liga 2 |
| Sep 27, 2021 | PSKC Cimahi(home) | 2-1 | Liga 2 |
What does the head-to-head say?
Across the last 1 meetings: 0 PSKC Cimahi win(s), 0 draw(s), 1 Perserang win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 27, 2021 | Perserang 2-1 PSKC Cimahi | Liga 2 |
Last archived meeting: Perserang vs PSKC Cimahi on Sep 27, 2021
How many goals should we expect?
PSKC Cimahi score 0.6 and concede 1.6 goals per match over their last 7; Perserang score 0.9 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| PSKC Cimahi | 0.6 | 1.6 | 1 | 3/7 | 3/7 |
| Perserang | 0.9 | 1.3 | 4 | 6/15 | 6/15 |
Over the last 7 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | PSKC Cimahi | 16 | 8 | 3 | 5 | 19 | 15 | 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