RANS Nusantara vs Persita: result 0-2 and analysis
Liga 2West - 13Kick-off on October 3, 2019 at 08:30 AM (UTC)Stadion Pakansari Bogor, Cibinong
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What was the result of RANS Nusantara vs Persita?
Persita won 0-2 on October 3, 2019.
Goalscorers
- 29′?Persita
- 74′?Persita
What is the recent form of both teams?
Over their last 15 matches in all competitions, RANS Nusantara have 6 wins, 3 draws and 6 defeats; Persita have 8, 4 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Sep 12, 2019 | PSPS(away) | 1-2 | Liga 2 |
| Sep 6, 2019 | Persiraja Banda Aceh(home) | 2-0 | Liga 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 26, 2019 | Perserang(away) | 2-0 | Liga 2 |
| Sep 22, 2019 | PSMS Medan(home) | 1-0 | Liga 2 |
| Sep 18, 2019 | Persiraja Banda Aceh(home) | 2-1 | Liga 2 |
| Sep 12, 2019 | Sriwijaya FC(home) | 1-0 | Liga 2 |
| Sep 8, 2019 | PSPS(away) | 1-2 | Liga 2 |
What does the head-to-head say?
In the last meeting: 0 RANS Nusantara wins, 1 draw, 0 Persita wins.
| Date | Score | Competition |
|---|---|---|
| Aug 2, 2019 | Persita 1-1 RANS Nusantara | Liga 2 |
Last archived meeting: Persita vs RANS Nusantara on Aug 2, 2019
How many goals should we expect?
RANS Nusantara score 1.2 and concede 1.3 goals per match over their last 15; Persita score 1.5 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| RANS Nusantara | 1.2 | 1.3 | 4 | 6/15 | 8/15 |
| Persita | 1.5 | 0.9 | 6 | 7/15 | 5/15 |
Over the last 15 matches in all competitions.
A question about RANS Nusantara vs Persita?
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