Kyran vs Lashyn: result 3-0 and analysis
1. DivisionRegular Season - 16Kick-off on August 15, 2015 at 12:00 PM (UTC)Stadion Qajimuqan Muñaytpasov, Shymkent
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What was the result of Kyran vs Lashyn?
Kyran won 3-0 on August 15, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kyran have 7 wins, 3 draws and 5 defeats; Lashyn have 2, 0 and 13.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 8, 2015 | Spartak Semey(away) | 0-1 | 1. Division |
| Aug 1, 2015 | Kyzyl-Zhar(home) | 3-2 | 1. Division |
| Jul 11, 2015 | CSKA Almaty(away) | 1-1 | 1. Division |
| Jun 27, 2015 | Kaspiy(home) | 1-1 | 1. Division |
| Jun 19, 2015 | Bayterek(away) | 4-1 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 8, 2015 | Kaspiy(home) | 0-3 | 1. Division |
| Aug 1, 2015 | Bayterek(away) | 0-3 | 1. Division |
| Jul 11, 2015 | Ekibastuz(home) | 0-2 | 1. Division |
| Jul 4, 2015 | Bulat(away) | 0-1 | 1. Division |
| Jun 27, 2015 | Akzhayik(home) | 0-4 | 1. Division |
What does the head-to-head say?
Across the last 6 meetings: 4 Kyran wins, 1 draw, 1 Lashyn win.
| Date | Score | Competition |
|---|---|---|
| May 3, 2015 | Lashyn 0-2 Kyran | 1. Division |
| Sep 27, 2014 | Lashyn 1-3 Kyran | 1. Division |
| May 18, 2014 | Kyran 3-0 Lashyn | 1. Division |
| Aug 28, 2013 | Kyran 1-1 Lashyn | 1. Division |
| Jun 1, 2013 | Lashyn 2-3 Kyran | 1. Division |
| Oct 19, 2012 | Lashyn 3-1 Kyran | 1. Division |
How many goals should we expect?
Kyran score 1.7 and concede 1.3 goals per match over their last 15; Lashyn score 0.3 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kyran | 1.7 | 1.3 | 3 | 9/15 | 7/15 |
| Lashyn | 0.3 | 2.1 | 2 | 2/15 | 8/15 |
Over the last 15 matches in all competitions.
A question about Kyran vs Lashyn?
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