RANS Nusantara vs Perserang: result 2-0 and analysis
Liga 2West - 14Kick-off on October 21, 2019 at 08:30 AM (UTC)Stadion Pakansari Bogor, Cibinong
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What was the result of RANS Nusantara vs Perserang?
RANS Nusantara won 2-0 on October 21, 2019.
Goalscorers
- 56′?RANS Nusantara
- 81′?RANS Nusantara
What is the recent form of both teams?
Over their last 15 matches in all competitions, RANS Nusantara have 5 wins, 2 draws and 8 defeats; Perserang have 7, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 7, 2019 | Persibat Batang(away) | 1-2 | Liga 2 |
| Oct 3, 2019 | Persita(home) | 0-2 | Liga 2 |
| Sep 27, 2019 | Blitar United(home) | 2-1 | Liga 2 |
| Sep 22, 2019 | PSGC Ciamis(away) | 0-2 | Liga 2 |
| Sep 17, 2019 | PSCS Cilacap(away) | 0-3 | Liga 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 7, 2019 | PSPS(home) | 2-1 | Liga 2 |
| Oct 2, 2019 | Blitar United(home) | 2-1 | Liga 2 |
| Sep 26, 2019 | Persita(home) | 0-2 | Liga 2 |
| Sep 22, 2019 | PSCS Cilacap(away) | 0-1 | Liga 2 |
| Sep 18, 2019 | PSGC Ciamis(away) | 0-2 | Liga 2 |
What does the head-to-head say?
In the last meeting: 0 RANS Nusantara wins, 0 draws, 1 Perserang win.
| Date | Score | Competition |
|---|---|---|
| Aug 14, 2019 | Perserang 1-0 RANS Nusantara | Liga 2 |
Last archived meeting: Perserang vs RANS Nusantara on Aug 14, 2019
How many goals should we expect?
RANS Nusantara score 0.9 and concede 1.5 goals per match over their last 15; Perserang score 1.1 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| RANS Nusantara | 0.9 | 1.5 | 3 | 6/15 | 8/15 |
| Perserang | 1.1 | 1.0 | 5 | 6/15 | 5/15 |
Over the last 15 matches in all competitions.
A question about RANS Nusantara vs Perserang?
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