Baykonur vs Astana II: result 1-0 and analysis
1. DivisionRegular Season - 23Kick-off on October 5, 2019 at 10:00 AM (UTC)Stadion im. Gany Muratbaeva, Kyzylorda
Full time
What was the result of Baykonur vs Astana II?
Baykonur won 1-0 on October 5, 2019.
Goalscorers
- 81′?Baykonur
What is the recent form of both teams?
Over their last 15 matches in all competitions, Baykonur have 7 wins, 3 draws and 5 defeats; Astana II have 3, 2 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 28, 2019 | Sport Academy Kairat(away) | 3-3 | 1. Division |
| Sep 20, 2019 | Zhetysu II(away) | 1-1 | 1. Division |
| Sep 14, 2019 | Akademiya Ontustik(home) | 0-0 | 1. Division |
| Aug 30, 2019 | Altay(away) | 0-2 | 1. Division |
| Aug 24, 2019 | Kaspiy(home) | 1-2 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 28, 2019 | Akademiya Ontustik(home) | 1-0 | 1. Division |
| Sep 20, 2019 | Altay(away) | 0-3 | 1. Division |
| Sep 14, 2019 | Kaspiy(home) | 0-1 | 1. Division |
| Aug 30, 2019 | Maqtaaral(away) | 0-4 | 1. Division |
| Aug 24, 2019 | Bulat(home) | 1-1 | 1. Division |
What does the head-to-head say?
Across the last 1 meetings: 1 Baykonur win(s), 0 draw(s), 0 Astana II win(s).
| Date | Score | Competition |
|---|---|---|
| Jun 23, 2019 | Astana II 1-3 Baykonur | 1. Division |
Last archived meeting: Astana II vs Baykonur on Jun 23, 2019
How many goals should we expect?
Baykonur score 1.5 and concede 1.3 goals per match over their last 15; Astana II score 1.1 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Baykonur | 1.5 | 1.3 | 5 | 7/15 | 6/15 |
| Astana II | 1.1 | 2.1 | 1 | 8/15 | 10/15 |
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 | Astana II | 19 | 8 | 2 | 9 | 29 | 37 | 26 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy