Bulat vs Baykonur: result 2-2 and analysis
1. DivisionRegular Season - 4Kick-off on April 28, 2019 at 10:00 AM (UTC)Stadion Metallurg, Temirtau
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What was the result of Bulat vs Baykonur?
Bulat and Baykonur drew 2-2 on April 28, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Bulat have 2 wins, 1 draws and 12 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 |
|---|---|---|---|
| Apr 21, 2019 | Akademiya Ontustik(away) | 1-3 | 1. Division |
| Apr 15, 2019 | Altay(home) | 0-2 | 1. Division |
| Apr 6, 2019 | Kaspiy(away) | 0-2 | 1. Division |
| Nov 4, 2018 | Kyran(away) | 0-2 | 1. Division |
| Oct 27, 2018 | Altay(home) | 0-1 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 21, 2019 | Ekibastuz(home) | 2-1 | 1. Division |
| Apr 14, 2019 | Kyran(away) | 2-2 | 1. Division |
| Apr 5, 2019 | Kyzyl-Zhar(home) | 2-2 | 1. Division |
| Nov 4, 2018 | Altay(away) | 0-2 | 1. Division |
| Oct 27, 2018 | Zhetysu II(home) | 2-3 | 1. Division |
What does the head-to-head say?
Across the last 6 meetings: 1 Bulat win(s), 2 draw(s), 3 Baykonur win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 17, 2018 | Baykonur 0-0 Bulat | 1. Division |
| Jun 20, 2018 | Bulat 1-2 Baykonur | 1. Division |
| Apr 21, 2018 | Baykonur 1-0 Bulat | 1. Division |
| 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 |
How many goals should we expect?
Bulat score 0.5 and concede 2.0 goals per match over their last 15; Baykonur score 1.7 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Bulat | 0.5 | 2.0 | 2 | 4/15 | 7/15 |
| Baykonur | 1.7 | 1.6 | 4 | 9/15 | 11/15 |
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