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 draw 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, 2 draws, 3 Baykonur wins.
| 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.
A question about Bulat vs Baykonur?
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