Khan Tengri vs Jas Qyran: result 0-1 and analysis
1. DivisionRegular Season - 19Kick-off on August 10, 2023 at 12:00 PM (UTC)
Full time
What was the result of Khan Tengri vs Jas Qyran?
Jas Qyran won 0-1 on August 10, 2023.
Goalscorers
- 8′?Jas Qyran
What is the recent form of both teams?
Over their last 15 matches in all competitions, Khan Tengri have 7 wins, 2 draws and 6 defeats; Jas Qyran have 7, 2 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 4, 2023 | Astana II(away) | 2-1 | 1. Division |
| Jul 28, 2023 | Akzhayik(home) | 1-1 | 1. Division |
| Jul 20, 2023 | Sport Academy Kairat(away) | 1-3 | 1. Division |
| Jul 13, 2023 | Akademiya Ontustik(home) | 3-0 | 1. Division |
| Jul 7, 2023 | Kyran(away) | 1-2 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 4, 2023 | Ekibastuz(home) | 1-1 | 1. Division |
| Jul 28, 2023 | Yelimay Semey(away) | 0-2 | 1. Division |
| Jul 21, 2023 | Aktobe Jas(home) | 1-0 | 1. Division |
| Jul 14, 2023 | Turan Turkistan(away) | 1-6 | 1. Division |
| Jul 6, 2023 | Taraz(home) | 4-2 | 1. Division |
What does the head-to-head say?
Across the last 1 meetings: 0 Khan Tengri win(s), 0 draw(s), 1 Jas Qyran win(s).
| Date | Score | Competition |
|---|---|---|
| May 4, 2023 | Jas Qyran 2-0 Khan Tengri | 1. Division |
Last archived meeting: Jas Qyran vs Khan Tengri on May 4, 2023
How many goals should we expect?
Khan Tengri score 1.6 and concede 1.2 goals per match over their last 15; Jas Qyran score 2.3 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Khan Tengri | 1.6 | 1.2 | 5 | 7/15 | 9/15 |
| Jas Qyran | 2.3 | 2.0 | 3 | 8/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | Khan Tengri | 19 | 6 | 3 | 10 | 23 | 35 | 21 |
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