Jaiyq vs Akademiya Ontustik: result 0-1 and analysis
1. DivisionRegular Season - 11Kick-off on June 25, 2026 at 01:00 PM (UTC)
Full time
What was the result of Jaiyq vs Akademiya Ontustik?
Akademiya Ontustik won 0-1 on June 25, 2026.
Goalscorers
- 83′531938Akademiya Ontustik
What is the recent form of both teams?
Over their last 11 matches in all competitions, Jaiyq have 5 wins, 0 draws and 6 defeats; Akademiya Ontustik 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 |
|---|---|---|---|
| Jun 19, 2026 | Shakhter Karagandy(away) | 0-3 | 1. Division |
| Jun 11, 2026 | Yelimay Semey 2(away) | 1-0 | 1. Division |
| May 27, 2026 | Aktobe Jas(home) | 3-2 | 1. Division |
| May 22, 2026 | Kaspij Aktau 2(away) | 1-0 | 1. Division |
| May 15, 2026 | Ekibastuz(home) | 0-1 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 18, 2026 | Yelimay Semey 2(home) | 1-1 | 1. Division |
| Jun 11, 2026 | Aktobe Jas(away) | 4-1 | 1. Division |
| May 26, 2026 | Kaspij Aktau 2(home) | 1-0 | 1. Division |
| May 21, 2026 | Ekibastuz(away) | 2-2 | 1. Division |
| May 15, 2026 | Sport Academy Kairat(home) | 1-3 | 1. Division |
How many goals should we expect?
Jaiyq score 0.8 and concede 1.5 goals per match over their last 11; Akademiya Ontustik score 1.6 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Jaiyq | 0.8 | 1.5 | 4 | 3/11 | 5/11 |
| Akademiya Ontustik | 1.6 | 1.7 | 2 | 10/15 | 11/15 |
Over the last 11 matches in all competitions.
Where do both teams sit in the table?
Jaiyq sit 5th in 1. Division (27 points from 19 matches) and Akademiya Ontustik sit 4th (33 points from 19 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Akademiya Ontustik | 19 | 10 | 3 | 6 | 31 | 25 | 33 |
| 5 | Jaiyq | 19 | 8 | 3 | 8 | 18 | 23 | 27 |
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