RANS Nusantara vs Perserang: result 0-0 and analysis
Liga 21st Round - 3Kick-off on October 12, 2021 at 08:15 AM (UTC)Stadion Pakansari Bogor, Cibinong
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What was the result of RANS Nusantara vs Perserang?
RANS Nusantara and Perserang drew 0-0 on October 12, 2021.
What is the recent form of both teams?
Over their last 15 matches in all competitions, RANS Nusantara have 5 wins, 0 draws and 10 defeats; Perserang have 7, 1 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 5, 2021 | Persekat(away) | 2-1 | Liga 2 |
| Sep 28, 2021 | Dewa United(away) | 1-3 | Liga 2 |
| Mar 15, 2020 | Perserang(home) | 0-2 | Liga 2 |
| Oct 21, 2019 | Perserang(home) | 2-0 | Liga 2 |
| Oct 7, 2019 | Persibat Batang(away) | 1-2 | Liga 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 5, 2021 | Dewa United(home) | 0-2 | Liga 2 |
| Sep 27, 2021 | PSKC Cimahi(home) | 2-1 | Liga 2 |
| Mar 15, 2020 | RANS Nusantara(away) | 2-0 | Liga 2 |
| Oct 21, 2019 | RANS Nusantara(away) | 0-2 | Liga 2 |
| Oct 7, 2019 | PSPS(home) | 2-1 | Liga 2 |
What does the head-to-head say?
Across the last 3 meetings: 1 RANS Nusantara win, 0 draws, 2 Perserang wins.
| Date | Score | Competition |
|---|---|---|
| Mar 15, 2020 | RANS Nusantara 0-2 Perserang | Liga 2 |
| Oct 21, 2019 | RANS Nusantara 2-0 Perserang | Liga 2 |
| Aug 14, 2019 | Perserang 1-0 RANS Nusantara | Liga 2 |
Last archived meeting: RANS Nusantara vs Perserang on Mar 15, 2020
How many goals should we expect?
RANS Nusantara score 0.9 and concede 1.7 goals per match over their last 15; Perserang score 0.9 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| RANS Nusantara | 0.9 | 1.7 | 3 | 5/15 | 9/15 |
| Perserang | 0.9 | 1.2 | 4 | 5/15 | 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.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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