Kyran vs Baykonur: result 0-3 and analysis
1. DivisionRegular Season - 19Kick-off on September 9, 2017 at 11:00 AM (UTC)Stadion Qajimuqan Muñaytpasov, Shymkent
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What was the result of Kyran vs Baykonur?
Baykonur won 0-3 on September 9, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kyran have 3 wins, 7 draws and 5 defeats; Baykonur have 5, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 19, 2017 | Ekibastuz(away) | 2-1 | 1. Division |
| Aug 12, 2017 | Kyzyl-Zhar(away) | 1-2 | 1. Division |
| Aug 5, 2017 | Zhetysu(home) | 2-5 | 1. Division |
| Jul 29, 2017 | Bulat(away) | 0-0 | 1. Division |
| Jul 22, 2017 | Kaspiy(home) | 0-0 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 19, 2017 | Kaspiy(home) | 2-0 | 1. Division |
| Aug 5, 2017 | Maqtaaral(home) | 0-0 | 1. Division |
| Jul 29, 2017 | Kyzyl-Zhar(away) | 0-2 | 1. Division |
| Jul 22, 2017 | Bulat(home) | 3-3 | 1. Division |
| Jul 16, 2017 | Kyran(home) | 4-0 | 1. Division |
What does the head-to-head say?
Across the last 6 meetings: 3 Kyran wins, 1 draw, 2 Baykonur wins.
| Date | Score | Competition |
|---|---|---|
| Jul 16, 2017 | Baykonur 4-0 Kyran | 1. Division |
| May 13, 2017 | Kyran 0-0 Baykonur | 1. Division |
| Oct 2, 2016 | Kyran 0-1 Baykonur | 1. Division |
| Aug 27, 2016 | Baykonur 0-2 Kyran | 1. Division |
| Jun 17, 2016 | Kyran 7-1 Baykonur | 1. Division |
| Apr 23, 2016 | Baykonur 1-3 Kyran | 1. Division |
How many goals should we expect?
Kyran score 1.1 and concede 1.5 goals per match over their last 15; Baykonur score 1.1 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kyran | 1.1 | 1.5 | 5 | 8/15 | 8/15 |
| Baykonur | 1.1 | 1.3 | 6 | 5/15 | 6/15 |
Over the last 15 matches in all competitions.
A question about Kyran 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