Bekasi City vs Sriwijaya FC: result 2-1 and analysis
Liga 21st Round - 9Kick-off on October 20, 2024 at 08:30 AM (UTC)Stadion Purnawarman, Purwakarta, Jawa Barat
Full time
What was the result of Bekasi City vs Sriwijaya FC?
Bekasi City won 2-1 on October 20, 2024.
Goalscorers
- 6′?Bekasi City
- 32′?Sriwijaya FC
- 63′Jhon CleyBekasi City
What is the recent form of both teams?
Over their last 15 matches in all competitions, Bekasi City have 6 wins, 4 draws and 5 defeats; Sriwijaya FC have 6, 6 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 12, 2024 | PS TIRA(away) | 1-0 | Liga 2 |
| Oct 7, 2024 | PSKC Cimahi(home) | 1-0 | Liga 2 |
| Oct 2, 2024 | PSMS Medan(away) | 0-0 | Liga 2 |
| Sep 19, 2024 | Persiraja Banda Aceh(home) | 2-0 | Liga 2 |
| Sep 14, 2024 | PSPS(away) | 0-0 | Liga 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 12, 2024 | PSMS Medan(home) | 0-0 | Liga 2 |
| Oct 6, 2024 | PS TIRA(home) | 5-1 | Liga 2 |
| Sep 24, 2024 | Persiraja Banda Aceh(away) | 0-1 | Liga 2 |
| Sep 19, 2024 | Persikota Tangerang(home) | 0-0 | Liga 2 |
| Sep 14, 2024 | PSKC Cimahi(home) | 1-1 | Liga 2 |
How many goals should we expect?
Bekasi City score 1.1 and concede 1.1 goals per match over their last 15; Sriwijaya FC score 1.3 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Bekasi City | 1.1 | 1.1 | 7 | 6/15 | 6/15 |
| Sriwijaya FC | 1.3 | 0.7 | 7 | 5/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Bekasi City sit 3rd in Liga 2 (44 points from 27 matches) and Sriwijaya FC sit 10th (2 points from 27 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Bekasi City | 27 | 12 | 8 | 7 | 42 | 27 | 44 |
| 10 | Sriwijaya FC | 27 | 0 | 2 | 25 | 15 | 93 | 2 |
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