PSBS Biak Numfor vs Persegres Gresik United: result 1-0 and analysis
Liga 2Championship Round - 1Kick-off on January 6, 2024 at 06:00 AM (UTC)Stadion Cendrawasih, Biak Numfor
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What was the result of PSBS Biak Numfor vs Persegres Gresik United?
PSBS Biak Numfor won 1-0 on January 6, 2024.
Goalscorers
- 90′?PSBS Biak Numfor (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, PSBS Biak Numfor have 8 wins, 3 draws and 4 defeats; Persegres Gresik United have 8, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 10, 2023 | Persipura Jayapura(home) | 3-1 | Liga 2 |
| Dec 3, 2023 | Sulut United(home) | 1-0 | Liga 2 |
| Nov 23, 2023 | Persiba Balikpapan(away) | 6-2 | Liga 2 |
| Nov 18, 2023 | Persipal(away) | 2-1 | Liga 2 |
| Nov 11, 2023 | Kalteng Putra(home) | 1-0 | Liga 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 17, 2023 | PSCS Cilacap(home) | 3-0 | Liga 2 |
| Dec 10, 2023 | Persijap(away) | 0-2 | Liga 2 |
| Dec 6, 2023 | Persela Lamongan(home) | 0-0 | Liga 2 |
| Dec 1, 2023 | Persipa Pati(away) | 1-0 | Liga 2 |
| Nov 19, 2023 | Deltras(home) | 1-2 | Liga 2 |
How many goals should we expect?
PSBS Biak Numfor score 1.6 and concede 0.8 goals per match over their last 15; Persegres Gresik United score 1.2 and concede 0.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| PSBS Biak Numfor | 1.6 | 0.8 | 6 | 7/15 | 7/15 |
| Persegres Gresik United | 1.2 | 0.6 | 9 | 3/15 | 4/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Persegres Gresik United | 14 | 6 | 3 | 5 | 18 | 16 | 21 |
A question about PSBS Biak Numfor vs Persegres Gresik United?
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