Taraz vs Jas Qyran: result 2-0 and analysis
1. DivisionRegular Season - 28Kick-off on October 20, 2023 at 11:00 AM (UTC)Ortalyq stadıon, Taraz
Full time
What was the result of Taraz vs Jas Qyran?
Taraz won 2-0 on October 20, 2023.
Goalscorers
- 29′?Taraz (pen.)
- 54′?Taraz
What is the recent form of both teams?
Over their last 15 matches in all competitions, Taraz have 4 wins, 2 draws and 9 defeats; Jas Qyran have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 8, 2023 | Astana II(away) | 3-2 | 1. Division |
| Oct 3, 2023 | Akzhayik(home) | 1-3 | 1. Division |
| Sep 26, 2023 | Sport Academy Kairat(away) | 0-1 | 1. Division |
| Sep 22, 2023 | Arys(home) | 2-1 | 1. Division |
| Sep 14, 2023 | Akademiya Ontustik(away) | 0-4 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 3, 2023 | Astana II(home) | 1-3 | 1. Division |
| Sep 27, 2023 | Akzhayik(away) | 0-2 | 1. Division |
| Sep 21, 2023 | Sport Academy Kairat(home) | 0-0 | 1. Division |
| Sep 14, 2023 | Arys(away) | 1-1 | 1. Division |
| Aug 31, 2023 | Akademiya Ontustik(home) | 5-1 | 1. Division |
What does the head-to-head say?
In the last meeting: 0 Taraz wins, 0 draws, 1 Jas Qyran win.
| Date | Score | Competition |
|---|---|---|
| Jul 6, 2023 | Jas Qyran 4-2 Taraz | 1. Division |
How many goals should we expect?
Taraz score 1.4 and concede 2.5 goals per match over their last 15; Jas Qyran score 1.6 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Taraz | 1.4 | 2.5 | 0 | 11/15 | 11/15 |
| Jas Qyran | 1.6 | 1.5 | 4 | 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 |
|---|---|---|---|---|---|---|---|---|
| 6 | Taraz | 25 | 9 | 7 | 9 | 36 | 33 | 34 |
A question about Taraz vs Jas Qyran?
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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