Bayterek vs Kyran: result 1-4 and analysis
1. DivisionRegular Season - 10Kick-off on June 19, 2015 at 08:00 AM (UTC)Astana Arena, Astana
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What was the result of Bayterek vs Kyran?
Kyran won 1-4 on June 19, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Bayterek have 4 wins, 3 draws and 8 defeats; Kyran have 9, 1 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 7, 2015 | Kaspiy(away) | 0-2 | 1. Division |
| May 24, 2015 | Maqtaaral(home) | 0-0 | 1. Division |
| May 16, 2015 | Ekibastuz(away) | 1-1 | 1. Division |
| May 9, 2015 | Bulat(home) | 2-3 | 1. Division |
| May 3, 2015 | Akzhayik(away) | 1-3 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 7, 2015 | Maqtaaral(home) | 0-1 | 1. Division |
| May 30, 2015 | Ekibastuz(away) | 1-0 | 1. Division |
| May 24, 2015 | Bulat(home) | 3-0 | 1. Division |
| May 16, 2015 | Akzhayik(away) | 1-5 | 1. Division |
| May 9, 2015 | Vostok(home) | 3-4 | 1. Division |
What does the head-to-head say?
Across the last 6 meetings: 1 Bayterek win, 1 draw, 4 Kyran wins.
| Date | Score | Competition |
|---|---|---|
| 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 |
| Jul 16, 2013 | Bayterek 2-5 Kyran | 1. Division |
| Oct 9, 2012 | Kyran 2-1 Bayterek | 1. Division |
| Apr 27, 2012 | Bayterek 0-0 Kyran | 1. Division |
How many goals should we expect?
Bayterek score 1.2 and concede 1.9 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 |
|---|---|---|---|---|---|
| Bayterek | 1.2 | 1.9 | 2 | 7/15 | 9/15 |
| Kyran | 1.9 | 1.3 | 5 | 8/15 | 10/15 |
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