Baykonur vs Kyran: result 0-1 and analysis
1. DivisionRegular Season - 2Kick-off on April 24, 2022 at 11:00 AM (UTC)Stadion im. Gany Muratbaeva, Kyzylorda
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What was the result of Baykonur vs Kyran?
Kyran won 0-1 on April 24, 2022.
Goalscorers
- 55′?Kyran
What is the recent form of both teams?
Over their last 15 matches in all competitions, Baykonur have 2 wins, 2 draws and 11 defeats; Kyran have 4, 6 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 17, 2022 | Okzhetpes(away) | 0-6 | 1. Division |
| Apr 7, 2022 | Jas Sunkar(home) | 1-4 | Cup |
| Oct 29, 2021 | Kyzyl-Zhar II(away) | 3-3 | 1. Division |
| Oct 23, 2021 | Bulat(home) | 0-2 | 1. Division |
| Oct 17, 2021 | Ekibastuz(away) | 0-7 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 16, 2022 | Ekibastuz(home) | 1-1 | 1. Division |
| Apr 6, 2022 | Akademiya Ontustik(home) | 0-3 | Cup |
| Oct 29, 2021 | Akademiya Ontustik(away) | 3-5 | 1. Division |
| Oct 23, 2021 | Taraz Karatau(home) | 2-1 | 1. Division |
| Oct 17, 2021 | Okzhetpes(away) | 1-3 | 1. Division |
What does the head-to-head say?
Across the last 6 meetings: 2 Baykonur win(s), 2 draw(s), 2 Kyran win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 28, 2021 | Baykonur 0-0 Kyran | 1. Division |
| May 11, 2021 | Kyran 8-2 Baykonur | 1. Division |
| Oct 13, 2020 | Kyran 1-3 Baykonur | 1. Division |
| Sep 15, 2020 | Baykonur 0-3 Kyran | 1. Division |
| Jul 27, 2019 | Baykonur 3-2 Kyran | 1. Division |
| Apr 14, 2019 | Kyran 2-2 Baykonur | 1. Division |
How many goals should we expect?
Baykonur score 0.8 and concede 3.3 goals per match over their last 15; Kyran score 1.7 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Baykonur | 0.8 | 3.3 | 2 | 5/15 | 12/15 |
| Kyran | 1.7 | 1.8 | 4 | 10/15 | 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