Igilik vs Kyran: result 0-4 and analysis
1. DivisionRegular Season - 18Kick-off on September 26, 2021 at 10:00 AM (UTC)Ortalıq Stadion, Karatau
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What was the result of Igilik vs Kyran?
Kyran won 0-4 on September 26, 2021.
Goalscorers
- 7′Z. KaldybayKyran
- 58′?Kyran
- 85′?Kyran
- 90′Elmar NabievKyran
What is the recent form of both teams?
Over their last 15 matches in all competitions, Igilik have 4 wins, 0 draws and 11 defeats; Kyran have 7, 6 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 21, 2021 | Ekibastuz(away) | 0-4 | 1. Division |
| Sep 10, 2021 | Maqtaaral(home) | 0-4 | 1. Division |
| Aug 28, 2021 | Akademiya Ontustik(away) | 0-7 | 1. Division |
| Aug 24, 2021 | Sport Academy Kairat(home) | 0-2 | 1. Division |
| Jul 19, 2021 | Taraz Karatau(away) | 0-3 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 21, 2021 | Maqtaaral(away) | 1-1 | 1. Division |
| Sep 11, 2021 | Sport Academy Kairat(home) | 1-3 | 1. Division |
| Aug 28, 2021 | Baykonur(away) | 0-0 | 1. Division |
| Aug 23, 2021 | Kyzyl-Zhar II(home) | 4-0 | 1. Division |
| Jul 19, 2021 | Bulat(away) | 1-0 | 1. Division |
What does the head-to-head say?
Across the last 2 meetings: 0 Igilik wins, 0 draws, 2 Kyran wins.
| Date | Score | Competition |
|---|---|---|
| Jun 13, 2021 | Kyran 6-0 Igilik | 1. Division |
| Mar 24, 2019 | Kyran 3-1 Igilik | Cup |
How many goals should we expect?
Igilik score 0.6 and concede 2.9 goals per match over their last 15; Kyran score 2.5 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Igilik | 0.6 | 2.9 | 1 | 4/15 | 10/15 |
| Kyran | 2.5 | 1.3 | 5 | 10/15 | 9/15 |
Over the last 15 matches in all competitions.
A question about Igilik 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