RANS Nusantara vs Persis Solo: result 1-2 and analysis
Liga 2FinalKick-off on December 30, 2021 at 02:00 PM (UTC)Stadion Pakansari Bogor, Cibinong
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What was the result of RANS Nusantara vs Persis Solo?
Persis Solo won 1-2 on December 30, 2021.
Goalscorers
- 40′I. BachdimPersis Solo
- 46′I. BachdimPersis Solo
- 56′A. TuasalamonyRANS Nusantara (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, RANS Nusantara have 9 wins, 3 draws and 3 defeats; Persis Solo have 9, 3 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 27, 2021 | PSIM Yogyakarta(home) | 3-0 | Liga 2 |
| Dec 22, 2021 | Sriwijaya FC(away) | 0-0 | Liga 2 |
| Dec 19, 2021 | Persiba Balikpapan(away) | 2-1 | Liga 2 |
| Dec 15, 2021 | Persis Solo(home) | 4-3 | Liga 2 |
| Dec 1, 2021 | PSKC Cimahi(home) | 3-0 | Liga 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 27, 2021 | Dewa United(away) | 2-1 | Liga 2 |
| Dec 22, 2021 | Persiba Balikpapan(home) | 2-0 | Liga 2 |
| Dec 19, 2021 | Sriwijaya FC(home) | 2-0 | Liga 2 |
| Dec 15, 2021 | RANS Nusantara(away) | 3-4 | Liga 2 |
| Nov 29, 2021 | PSCS Cilacap(home) | 1-2 | Liga 2 |
What does the head-to-head say?
In the last meeting: 1 RANS Nusantara win, 0 draws, 0 Persis Solo wins.
| Date | Score | Competition |
|---|---|---|
| Dec 15, 2021 | RANS Nusantara 4-3 Persis Solo | Liga 2 |
Last archived meeting: RANS Nusantara vs Persis Solo on Dec 15, 2021
How many goals should we expect?
RANS Nusantara score 1.5 and concede 0.9 goals per match over their last 15; Persis Solo score 1.9 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| RANS Nusantara | 1.5 | 0.9 | 7 | 6/15 | 8/15 |
| Persis Solo | 1.9 | 1.1 | 5 | 9/15 | 7/15 |
Over the last 15 matches in all competitions.
A question about RANS Nusantara vs Persis Solo?
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