Bayterek vs Kyran: result 1-2 and analysis
1. DivisionRegular Season - 10Kick-off on June 11, 2016 at 10:00 AM (UTC)Astana Arena, Astana
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What was the result of Bayterek vs Kyran?
Kyran won 1-2 on June 11, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Bayterek have 1 win, 0 draws and 14 defeats; Kyran have 7, 2 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 5, 2016 | Ekibastuz(home) | 0-2 | 1. Division |
| May 28, 2016 | Maqtaaral(away) | 0-1 | 1. Division |
| May 19, 2016 | Kyzyl-Zhar(home) | 1-2 | 1. Division |
| May 14, 2016 | Kaspiy(away) | 0-4 | 1. Division |
| May 8, 2016 | Altay(home) | 0-2 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 5, 2016 | Kyzyl-Zhar(away) | 0-3 | 1. Division |
| May 31, 2016 | Altay(home) | 0-2 | 1. Division |
| May 22, 2016 | Kaisar(away) | 0-2 | 1. Division |
| May 15, 2016 | Bulat(home) | 2-0 | 1. Division |
| May 8, 2016 | Maqtaaral(away) | 1-3 | 1. Division |
What does the head-to-head say?
Across the last 6 meetings: 1 Bayterek win, 0 draws, 5 Kyran wins.
| Date | Score | Competition |
|---|---|---|
| Apr 15, 2016 | Kyran 4-0 Bayterek | 1. Division |
| Oct 4, 2015 | Kyran 5-1 Bayterek | 1. Division |
| Jun 19, 2015 | Bayterek 1-4 Kyran | 1. Division |
| Sep 21, 2014 | Kyran 1-2 Bayterek | 1. Division |
| May 25, 2014 | Bayterek 1-2 Kyran | 1. Division |
| Jul 27, 2013 | Kyran 5-0 Bayterek | 1. Division |
How many goals should we expect?
Bayterek score 0.4 and concede 2.5 goals per match over their last 15; Kyran score 1.5 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Bayterek | 0.4 | 2.5 | 0 | 5/15 | 10/15 |
| Kyran | 1.5 | 1.1 | 6 | 5/15 | 7/15 |
Over the last 15 matches in all competitions.
A question about Bayterek 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