PSCS Cilacap vs Bekasi City: prediction and stats
Liga 2Group A - 10Kick-off on October 7, 2022 at 08:15 AM (UTC)Stadion Wijayakusuma, Cilacap
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, PSCS Cilacap have 4 wins, 8 draws and 3 defeats; Bekasi City have 7, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 1, 2022 | Nusantara United(away) | 1-0 | Liga 2 |
| Sep 27, 2022 | Persekat(away) | 0-0 | Liga 2 |
| Sep 23, 2022 | Persegres Gresik United(home) | 0-0 | Liga 2 |
| Sep 19, 2022 | Persikab Bandung(away) | 1-0 | Liga 2 |
| Sep 11, 2022 | PSIM Yogyakarta(away) | 1-1 | Liga 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 1, 2022 | Persekat(away) | 1-0 | Liga 2 |
| Sep 27, 2022 | Nusantara United(home) | 2-0 | Liga 2 |
| Sep 23, 2022 | Persijap(away) | 0-1 | Liga 2 |
| Sep 19, 2022 | PSIM Yogyakarta(home) | 3-0 | Liga 2 |
| Sep 11, 2022 | Persipa Pati(away) | 1-1 | Liga 2 |
What does the head-to-head say?
Across the last 2 meetings: 1 PSCS Cilacap win(s), 0 draw(s), 1 Bekasi City win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 9, 2021 | Bekasi City 1-0 PSCS Cilacap | Liga 2 |
| Oct 4, 2021 | PSCS Cilacap 2-1 Bekasi City | Liga 2 |
Last archived meeting: Bekasi City vs PSCS Cilacap on Nov 9, 2021
How many goals should we expect?
PSCS Cilacap score 0.7 and concede 0.7 goals per match over their last 15; Bekasi City score 1.3 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| PSCS Cilacap | 0.7 | 0.7 | 7 | 6/15 | 2/15 |
| Bekasi City | 1.3 | 0.8 | 5 | 6/15 | 4/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Bekasi City | 27 | 12 | 8 | 7 | 42 | 27 | 44 |
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
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