Baykonur vs Kyran: result 3-2 and analysis
1. DivisionRegular Season - 14Kick-off on July 27, 2019 at 01:00 PM (UTC)Stadion im. Gany Muratbaeva, Kyzylorda
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What was the result of Baykonur vs Kyran?
Baykonur won 3-2 on July 27, 2019.
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 4, 5 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 6, 2019 | Aktobe Jas(away) | 2-0 | 1. Division |
| Jun 29, 2019 | Akzhayik(home) | 0-2 | 1. Division |
| Jun 23, 2019 | Astana II(away) | 3-1 | 1. Division |
| Jun 16, 2019 | Sport Academy Kairat(home) | 1-0 | 1. Division |
| Jun 1, 2019 | Zhetysu II(home) | 4-2 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 6, 2019 | Altay(home) | 1-4 | 1. Division |
| Jun 29, 2019 | Kaspiy(away) | 1-3 | 1. Division |
| Jun 22, 2019 | Maqtaaral(home) | 0-0 | 1. Division |
| Jun 15, 2019 | Bulat(away) | 1-1 | 1. Division |
| May 31, 2019 | Ekibastuz(home) | 2-1 | 1. Division |
What does the head-to-head say?
Across the last 6 meetings: 3 Baykonur wins, 1 draw, 2 Kyran wins.
| Date | Score | Competition |
|---|---|---|
| Apr 14, 2019 | Kyran 2-2 Baykonur | 1. Division |
| Aug 14, 2018 | Baykonur 3-0 Kyran | 1. Division |
| 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 |
How many goals should we expect?
Baykonur score 1.6 and concede 1.7 goals per match over their last 15; Kyran score 1.7 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Baykonur | 1.6 | 1.7 | 3 | 10/15 | 10/15 |
| Kyran | 1.7 | 1.9 | 1 | 14/15 | 13/15 |
Over the last 15 matches in all competitions.
A question about Baykonur vs Kyran?
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