Bulat vs Baykonur: result 0-1 and analysis
1. DivisionRegular Season - 6Kick-off on May 21, 2017 at 10:00 AM (UTC)Stadion Metallurg, Temirtau
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What was the result of Bulat vs Baykonur?
Baykonur won 0-1 on May 21, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Bulat have 5 wins, 2 draws and 8 defeats; Baykonur have 5, 3 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 13, 2017 | Sport Academy Kairat(away) | 1-2 | 1. Division |
| May 7, 2017 | Ekibastuz(home) | 5-3 | 1. Division |
| Apr 30, 2017 | Zhetysu(away) | 0-5 | 1. Division |
| Apr 22, 2017 | Kaspiy(home) | 1-0 | 1. Division |
| Oct 2, 2016 | Bayterek(home) | 1-1 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 13, 2017 | Kyran(away) | 0-0 | 1. Division |
| May 7, 2017 | Sport Academy Kairat(home) | 0-1 | 1. Division |
| Apr 30, 2017 | Ekibastuz(away) | 2-0 | 1. Division |
| Apr 23, 2017 | Zhetysu(home) | 1-1 | 1. Division |
| Apr 15, 2017 | Kaspiy(away) | 2-1 | 1. Division |
What does the head-to-head say?
Across the last 6 meetings: 3 Bulat win(s), 1 draw(s), 2 Baykonur win(s).
| Date | Score | Competition |
|---|---|---|
| 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 |
| May 22, 2016 | Bulat 3-2 Baykonur | 1. Division |
| Sep 26, 2015 | Bulat 2-0 Baykonur | 1. Division |
| Jun 7, 2015 | Baykonur 0-3 Bulat | 1. Division |
How many goals should we expect?
Bulat score 1.2 and concede 1.5 goals per match over their last 15; Baykonur score 0.8 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Bulat | 1.2 | 1.5 | 3 | 8/15 | 9/15 |
| Baykonur | 0.8 | 1.4 | 5 | 4/15 | 5/15 |
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