Kyran vs Baykonur: result 3-0 and analysis
1. DivisionRegular Season - 7Kick-off on May 8, 2018 at 10:00 AM (UTC)Stadion Qajimuqan Muñaytpasov, Shymkent
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What was the result of Kyran vs Baykonur?
Kyran won 3-0 on May 8, 2018.
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; Baykonur have 5, 5 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 2, 2018 | Maqtaaral(away) | 1-1 | 1. Division |
| Apr 27, 2018 | Zhetysu II(home) | 2-0 | 1. Division |
| Apr 23, 2018 | Sport Academy Kairat(away) | 2-1 | 1. Division |
| Apr 18, 2018 | Ordabasy(home) | 0-6 | Cup |
| Apr 15, 2018 | Aktobe Jas(away) | 2-0 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 2, 2018 | Aktobe Jas(home) | 0-0 | 1. Division |
| Apr 27, 2018 | Altay(away) | 0-3 | 1. Division |
| Apr 21, 2018 | Bulat(home) | 1-0 | 1. Division |
| Apr 14, 2018 | Okzhetpes(away) | 0-2 | 1. Division |
| Apr 8, 2018 | Ekibastuz(home) | 0-0 | 1. Division |
What does the head-to-head say?
Across the last 6 meetings: 2 Kyran wins, 1 draw, 3 Baykonur wins.
| Date | Score | Competition |
|---|---|---|
| Sep 9, 2017 | Kyran 0-3 Baykonur | 1. Division |
| Jul 16, 2017 | Baykonur 4-0 Kyran | 1. Division |
| May 13, 2017 | Kyran 0-0 Baykonur | 1. Division |
| Oct 2, 2016 | Kyran 0-1 Baykonur | 1. Division |
| Aug 27, 2016 | Baykonur 0-2 Kyran | 1. Division |
| Jun 17, 2016 | Kyran 7-1 Baykonur | 1. Division |
How many goals should we expect?
Kyran score 1.6 and concede 1.4 goals per match over their last 15; Baykonur score 0.9 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kyran | 1.6 | 1.4 | 6 | 7/15 | 8/15 |
| Baykonur | 0.9 | 0.9 | 7 | 4/15 | 5/15 |
Over the last 15 matches in all competitions.
A question about Kyran vs Baykonur?
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