Kyran vs Igilik: result 7-2 and analysis
1. DivisionRegular Season - 11Kick-off on July 9, 2022 at 12:00 PM (UTC)Futbol Ortalığı BÏİK Main Field, Shymkent
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What was the result of Kyran vs Igilik?
Kyran won 7-2 on July 9, 2022.
Goalscorers
- 3′?Kyran
- 29′J. EsonkulovKyran (pen.)
- 36′?Kyran (pen.)
- 39′317452Igilik
- 47′?Kyran
- 76′?Igilik
- 77′291884Kyran (o.g.)
- 83′?Kyran
- 90′Garegin KirakosyanKyran
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kyran have 7 wins, 2 draws and 6 defeats; Igilik have 4, 1 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 2, 2022 | Okzhetpes(away) | 0-4 | 1. Division |
| Jun 25, 2022 | Astana II(home) | 6-1 | 1. Division |
| Jun 18, 2022 | Bulat(away) | 4-0 | 1. Division |
| May 28, 2022 | Kaisar(home) | 1-3 | 1. Division |
| May 22, 2022 | Yassy Turkistan(away) | 1-1 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 2, 2022 | Zhetysu(home) | 0-3 | 1. Division |
| Jun 25, 2022 | Okzhetpes(away) | 0-5 | 1. Division |
| Jun 19, 2022 | Zhenys(home) | 2-0 | 1. Division |
| May 28, 2022 | Astana II(away) | 2-5 | 1. Division |
| May 22, 2022 | Baykonur(home) | 1-0 | 1. Division |
What does the head-to-head say?
Across the last 3 meetings: 3 Kyran win(s), 0 draw(s), 0 Igilik win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 26, 2021 | Igilik 0-4 Kyran | 1. Division |
| Jun 13, 2021 | Kyran 6-0 Igilik | 1. Division |
| Mar 24, 2019 | Kyran 3-1 Igilik | Cup |
How many goals should we expect?
Kyran score 1.9 and concede 1.8 goals per match over their last 15; Igilik score 0.9 and concede 2.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kyran | 1.9 | 1.8 | 3 | 10/15 | 11/15 |
| Igilik | 0.9 | 2.7 | 4 | 4/15 | 9/15 |
Over the last 15 matches in all competitions.
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy