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 win(s), 1 draw(s), 2 Baykonur win(s).
| 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.
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