Kyran vs Altay: prediction and stats
1. DivisionRegular Season - 19Kick-off on August 8, 2024 at 12:00 AM (UTC)Stadion Qajimuqan Muñaytpasov, Shymkent
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kyran have 5 wins, 2 draws and 8 defeats; Altay have 6, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 30, 2024 | Kaspiy(home) | 0-3 | 1. Division |
| May 23, 2024 | Okzhetpes(home) | 0-1 | 1. Division |
| May 17, 2024 | Sport Academy Kairat(away) | 1-10 | 1. Division |
| May 10, 2024 | Ulytau(home) | 0-1 | 1. Division |
| Apr 26, 2024 | Zhetisay(home) | 0-1 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 1, 2024 | SD Family(home) | 2-2 | 1. Division |
| Jul 26, 2024 | Aktobe Jas(away) | 2-0 | 1. Division |
| Jul 19, 2024 | Arys(away) | 1-0 | 1. Division |
| Jul 12, 2024 | Kaisar II(home) | 1-1 | 1. Division |
| Jul 4, 2024 | Ulytau(away) | 1-2 | 1. Division |
What does the head-to-head say?
Across the last 6 meetings: 2 Kyran win(s), 1 draw(s), 3 Altay win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 25, 2020 | Kyran 3-1 Altay | 1. Division |
| Sep 27, 2020 | Altay 0-2 Kyran | 1. Division |
| Oct 27, 2019 | Altay 3-0 Kyran | 1. Division |
| Jul 6, 2019 | Kyran 1-4 Altay | 1. Division |
| Sep 21, 2018 | Kyran 1-2 Altay | 1. Division |
| Jun 11, 2018 | Altay 0-0 Kyran | 1. Division |
How many goals should we expect?
Kyran score 1.3 and concede 2.2 goals per match over their last 15; Altay score 1.3 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kyran | 1.3 | 2.2 | 3 | 7/15 | 8/15 |
| Altay | 1.3 | 1.0 | 5 | 8/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Altay | 26 | 17 | 4 | 5 | 54 | 23 | 55 |
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