PSCS Cilacap vs PSPS: result 1-1 and analysis
Liga 2West - 13Kick-off on October 2, 2019 at 08:30 AM (UTC)Stadion Wijayakusuma, Cilacap
Full time
What was the result of PSCS Cilacap vs PSPS?
PSCS Cilacap and PSPS drew 1-1 on October 2, 2019.
Goalscorers
- 35′29546PSCS Cilacap
- 71′?PSPS
What is the recent form of both teams?
Over their last 15 matches in all competitions, PSCS Cilacap have 6 wins, 5 draws and 4 defeats; PSPS have 5, 3 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 27, 2019 | Persibat Batang(away) | 2-3 | Liga 2 |
| Sep 22, 2019 | Perserang(home) | 1-0 | Liga 2 |
| Sep 17, 2019 | Cilegon United(home) | 3-0 | Liga 2 |
| Sep 12, 2019 | PSMS Medan(away) | 0-1 | Liga 2 |
| Sep 8, 2019 | Sriwijaya FC(home) | 1-1 | Liga 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 21, 2019 | BaBel United(away) | 2-0 | Liga 2 |
| Sep 16, 2019 | Sriwijaya FC(away) | 0-1 | Liga 2 |
| Sep 12, 2019 | Cilegon United(home) | 2-1 | Liga 2 |
| Sep 8, 2019 | Persita(home) | 2-1 | Liga 2 |
| Sep 3, 2019 | Blitar United(home) | 1-0 | Liga 2 |
What does the head-to-head say?
In the last meeting: 0 PSCS Cilacap wins, 1 draw, 0 PSPS wins.
| Date | Score | Competition |
|---|---|---|
| Aug 2, 2019 | PSPS 0-0 PSCS Cilacap | Liga 2 |
How many goals should we expect?
PSCS Cilacap score 1.2 and concede 1.0 goals per match over their last 15; PSPS score 0.8 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| PSCS Cilacap | 1.2 | 1.0 | 7 | 6/15 | 5/15 |
| PSPS | 0.8 | 1.6 | 4 | 6/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | PSPS | 27 | 9 | 10 | 8 | 50 | 45 | 37 |
A question about PSCS Cilacap vs PSPS?
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