Baykonur vs Bulat: result 1-0 and analysis
1. DivisionRegular Season - 4Kick-off on April 21, 2018 at 10:00 AM (UTC)Stadion im. Gany Muratbaeva, Kyzylorda
Full time
What was the result of Baykonur vs Bulat?
Baykonur won 1-0 on April 21, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Baykonur have 4 wins, 6 draws and 5 defeats; Bulat have 4, 3 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 14, 2018 | Okzhetpes(away) | 0-2 | 1. Division |
| Apr 8, 2018 | Ekibastuz(home) | 0-0 | 1. Division |
| Apr 1, 2018 | Taraz(home) | 0-0 | 1. Division |
| Oct 29, 2017 | Bulat(home) | 1-2 | 1. Division |
| Oct 22, 2017 | Kaspiy(away) | 2-2 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 14, 2018 | Maqtaaral(home) | 0-1 | 1. Division |
| Apr 9, 2018 | Zhetysu II(away) | 0-2 | 1. Division |
| Apr 1, 2018 | Kyran(away) | 1-4 | 1. Division |
| Oct 29, 2017 | Baykonur(away) | 2-1 | 1. Division |
| Oct 22, 2017 | Maqtaaral(home) | 0-3 | 1. Division |
What does the head-to-head say?
Across the last 6 meetings: 3 Baykonur win(s), 2 draw(s), 1 Bulat win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 29, 2017 | Baykonur 1-2 Bulat | 1. Division |
| Jul 22, 2017 | Baykonur 3-3 Bulat | 1. Division |
| May 21, 2017 | Bulat 0-1 Baykonur | 1. Division |
| Sep 24, 2016 | Bulat 1-2 Baykonur | 1. Division |
| Sep 10, 2016 | Baykonur 0-0 Bulat | 1. Division |
| Jul 17, 2016 | Baykonur 1-0 Bulat | 1. Division |
How many goals should we expect?
Baykonur score 1.1 and concede 1.1 goals per match over their last 15; Bulat score 0.9 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Baykonur | 1.1 | 1.1 | 6 | 5/15 | 5/15 |
| Bulat | 0.9 | 1.6 | 4 | 5/15 | 6/15 |
Over the last 15 matches in all competitions.
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