Baykonur vs Kyran: result 3-0 and analysis
1. DivisionRegular Season - 23Kick-off on August 14, 2018 at 12:00 PM (UTC)Stadion im. Gany Muratbaeva, Kyzylorda
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What was the result of Baykonur vs Kyran?
Baykonur won 3-0 on August 14, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Baykonur have 5 wins, 4 draws and 6 defeats; Kyran have 9, 2 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 4, 2018 | Taraz(away) | 1-2 | 1. Division |
| Jul 28, 2018 | Kaspiy(away) | 1-1 | 1. Division |
| Jul 21, 2018 | Sport Academy Kairat(home) | 2-2 | 1. Division |
| Jul 16, 2018 | Maqtaaral(home) | 2-0 | 1. Division |
| Jul 11, 2018 | Zhetysu II(away) | 0-4 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 4, 2018 | Bulat(away) | 4-0 | 1. Division |
| Jul 28, 2018 | Okzhetpes(away) | 0-1 | 1. Division |
| Jul 20, 2018 | Ekibastuz(home) | 1-0 | 1. Division |
| Jul 15, 2018 | Taraz(away) | 0-7 | 1. Division |
| Jul 11, 2018 | Kaspiy(home) | 2-1 | 1. Division |
What does the head-to-head say?
Across the last 6 meetings: 3 Baykonur win(s), 1 draw(s), 2 Kyran win(s).
| Date | Score | Competition |
|---|---|---|
| Jul 6, 2018 | Baykonur 1-3 Kyran | 1. Division |
| May 8, 2018 | Kyran 3-0 Baykonur | 1. Division |
| Sep 9, 2017 | Kyran 0-3 Baykonur | 1. Division |
| 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 |
How many goals should we expect?
Baykonur score 1.1 and concede 1.5 goals per match over their last 15; Kyran score 1.9 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Baykonur | 1.1 | 1.5 | 4 | 7/15 | 7/15 |
| Kyran | 1.9 | 1.3 | 4 | 7/15 | 10/15 |
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