Baykonur vs Igilik: result 1-2 and analysis
1. DivisionRegular Season - 18Kick-off on September 3, 2022 at 12:00 PM (UTC)Stadion im. Gany Muratbaeva, Kyzylorda
Full time
What was the result of Baykonur vs Igilik?
Igilik won 1-2 on September 3, 2022.
Goalscorers
- 38′Maksim ChalkinIgilik
- 53′Sheykhislam KulakhmmetovIgilik
- 87′?Baykonur
What is the recent form of both teams?
Over their last 15 matches in all competitions, Baykonur have 0 wins, 3 draws and 12 defeats; Igilik have 3, 1 and 11.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 27, 2022 | Ekibastuz(home) | 2-2 | 1. Division |
| Aug 20, 2022 | Sport Academy Kairat(away) | 2-3 | 1. Division |
| Aug 6, 2022 | Taraz Karatau(home) | 1-1 | 1. Division |
| Jul 30, 2022 | Kyran(away) | 0-0 | 1. Division |
| Jul 23, 2022 | Astana II(away) | 1-3 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 27, 2022 | Bulat(home) | 1-1 | 1. Division |
| Aug 20, 2022 | Ekibastuz(away) | 0-2 | 1. Division |
| Aug 1, 2022 | Sport Academy Kairat(away) | 1-3 | 1. Division |
| Jul 23, 2022 | Taraz Karatau(away) | 0-1 | 1. Division |
| Jul 16, 2022 | Akademiya Ontustik(home) | 1-2 | 1. Division |
What does the head-to-head say?
Across the last 3 meetings: 1 Baykonur win(s), 0 draw(s), 2 Igilik win(s).
| Date | Score | Competition |
|---|---|---|
| May 22, 2022 | Igilik 1-0 Baykonur | 1. Division |
| Jul 12, 2021 | Igilik 1-0 Baykonur | 1. Division |
| Apr 17, 2021 | Baykonur 3-0 Igilik | 1. Division |
How many goals should we expect?
Baykonur score 0.5 and concede 2.5 goals per match over their last 15; Igilik score 0.8 and concede 2.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Baykonur | 0.5 | 2.5 | 1 | 6/15 | 10/15 |
| Igilik | 0.8 | 2.5 | 3 | 6/15 | 7/15 |
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