Bayterek vs Lashyn: result 4-2 and analysis
1. DivisionRegular Season - 27Kick-off on October 19, 2014 at 09:00 AM (UTC)Astana Arena, Astana
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What was the result of Bayterek vs Lashyn?
Bayterek won 4-2 on October 19, 2014.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Bayterek have 5 wins, 1 draw and 9 defeats; Lashyn have 1, 4 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 4, 2014 | Kaspiy(away) | 0-1 | 1. Division |
| Sep 27, 2014 | Maqtaaral(home) | 1-1 | 1. Division |
| Sep 21, 2014 | Kyran(away) | 2-1 | 1. Division |
| Sep 15, 2014 | Akzhayik(home) | 1-6 | 1. Division |
| Sep 7, 2014 | CSKA Almaty(away) | 1-0 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 11, 2014 | Kaspiy(home) | 0-1 | 1. Division |
| Oct 4, 2014 | Maqtaaral(away) | 1-3 | 1. Division |
| Sep 27, 2014 | Kyran(home) | 1-3 | 1. Division |
| Sep 20, 2014 | Akzhayik(away) | 2-3 | 1. Division |
| Sep 14, 2014 | CSKA Almaty(home) | 0-0 | 1. Division |
What does the head-to-head say?
Across the last 5 meetings: 2 Bayterek wins, 0 draws, 3 Lashyn wins.
| Date | Score | Competition |
|---|---|---|
| Apr 27, 2014 | Lashyn 1-0 Bayterek | 1. Division |
| Aug 20, 2013 | Lashyn 2-1 Bayterek | 1. Division |
| Jun 23, 2013 | Bayterek 3-0 Lashyn | 1. Division |
| Oct 12, 2012 | Lashyn 0-1 Bayterek | 1. Division |
| Apr 30, 2012 | Bayterek 0-2 Lashyn | 1. Division |
How many goals should we expect?
Bayterek score 0.9 and concede 1.9 goals per match over their last 15; Lashyn score 0.7 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Bayterek | 0.9 | 1.9 | 2 | 6/15 | 8/15 |
| Lashyn | 0.7 | 1.7 | 3 | 6/15 | 6/15 |
Over the last 15 matches in all competitions.
A question about Bayterek 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