Kyran vs Bayterek: result 1-2 and analysis
1. DivisionRegular Season - 23Kick-off on September 21, 2014 at 09:00 AM (UTC)Stadion Qajimuqan Muñaytpasov, Shymkent
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What was the result of Kyran vs Bayterek?
Bayterek won 1-2 on September 21, 2014.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kyran have 9 wins, 3 draws and 3 defeats; Bayterek have 5, 1 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 14, 2014 | Kaspiy(away) | 1-3 | 1. Division |
| Sep 7, 2014 | Maqtaaral(home) | 5-0 | 1. Division |
| Aug 23, 2014 | Akzhayik(away) | 0-0 | 1. Division |
| Aug 17, 2014 | CSKA Almaty(home) | 6-1 | 1. Division |
| Aug 9, 2014 | Kyzyl-Zhar(away) | 2-0 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 15, 2014 | Akzhayik(home) | 1-6 | 1. Division |
| Sep 7, 2014 | CSKA Almaty(away) | 1-0 | 1. Division |
| Aug 30, 2014 | Kyzyl-Zhar(home) | 3-0 | 1. Division |
| Aug 23, 2014 | Zhetysu-Sunkar(away) | 0-1 | 1. Division |
| Aug 17, 2014 | Astana-64(home) | 0-2 | 1. Division |
What does the head-to-head say?
Across the last 5 meetings: 4 Kyran wins, 1 draw, 0 Bayterek wins.
| Date | Score | Competition |
|---|---|---|
| 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?
Kyran score 2.3 and concede 1.2 goals per match over their last 15; Bayterek score 1.0 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kyran | 2.3 | 1.2 | 4 | 11/15 | 12/15 |
| Bayterek | 1.0 | 1.9 | 3 | 6/15 | 9/15 |
Over the last 15 matches in all competitions.
A question about Kyran vs Bayterek?
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