Akademiya Ontustik vs Jas Qyran: result 5-4 and analysis
1. DivisionRegular Season - 8Kick-off on May 19, 2023 at 10:00 AM (UTC)Futbol Ortalığı BÏİK Main Field, Shymkent
Full time
What was the result of Akademiya Ontustik vs Jas Qyran?
Akademiya Ontustik won 5-4 on May 19, 2023.
Goalscorers
- 8′?Jas Qyran
- 15′?Akademiya Ontustik
- 20′?Akademiya Ontustik
- 26′?Jas Qyran
- 34′?Akademiya Ontustik
- 36′?Akademiya Ontustik
- 38′?Jas Qyran
- 49′?Akademiya Ontustik
- 90′?Jas Qyran
What is the recent form of both teams?
Over their last 15 matches in all competitions, Akademiya Ontustik have 3 wins, 3 draws and 9 defeats; Jas Qyran have 4, 2 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 14, 2023 | Astana II(away) | 3-0 | 1. Division |
| May 10, 2023 | Akzhayik(home) | 0-3 | 1. Division |
| May 4, 2023 | Sport Academy Kairat(away) | 1-1 | 1. Division |
| Apr 27, 2023 | Arys(home) | 2-5 | 1. Division |
| Apr 14, 2023 | Kyran(away) | 1-2 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 15, 2023 | Kyran(home) | 4-2 | 1. Division |
| May 9, 2023 | Zhenys(away) | 0-3 | 1. Division |
| May 4, 2023 | Khan Tengri(home) | 2-0 | 1. Division |
| Apr 28, 2023 | Ekibastuz(away) | 2-2 | 1. Division |
| Apr 22, 2023 | Yelimay Semey(home) | 0-2 | 1. Division |
How many goals should we expect?
Akademiya Ontustik score 1.5 and concede 2.9 goals per match over their last 15; Jas Qyran score 1.5 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Akademiya Ontustik | 1.5 | 2.9 | 2 | 10/15 | 13/15 |
| Jas Qyran | 1.5 | 1.8 | 3 | 6/13 | 7/13 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Akademiya Ontustik | 19 | 10 | 3 | 6 | 31 | 25 | 33 |
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