Sport Academy Kairat vs Astana II: result 2-3 and analysis
1. DivisionRegular Season - 12Kick-off on June 29, 2019 at 12:00 PM (UTC)Stadïon Akademïï T.S.Segïzbaeva, Almaty
Full time
What was the result of Sport Academy Kairat vs Astana II?
Astana II won 2-3 on June 29, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sport Academy Kairat have 6 wins, 4 draws and 5 defeats; Astana II have 3, 2 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 22, 2019 | Zhetysu II(home) | 2-0 | 1. Division |
| Jun 16, 2019 | Baykonur(away) | 0-1 | 1. Division |
| May 31, 2019 | Akademiya Ontustik(home) | 1-0 | 1. Division |
| May 26, 2019 | Altay(away) | 0-2 | 1. Division |
| May 16, 2019 | Kaspiy(home) | 1-1 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 23, 2019 | Baykonur(home) | 1-3 | 1. Division |
| Jun 16, 2019 | Akademiya Ontustik(away) | 1-3 | 1. Division |
| May 31, 2019 | Altay(home) | 1-2 | 1. Division |
| May 26, 2019 | Kaspiy(away) | 2-3 | 1. Division |
| May 16, 2019 | Maqtaaral(home) | 5-2 | 1. Division |
How many goals should we expect?
Sport Academy Kairat score 1.8 and concede 1.3 goals per match over their last 15; Astana II score 1.7 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sport Academy Kairat | 1.8 | 1.3 | 5 | 8/15 | 7/15 |
| Astana II | 1.7 | 1.9 | 0 | 10/11 | 8/11 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Sport Academy Kairat sit 2nd in 1. Division (46 points from 19 matches) and Astana II sit 6th (26 points from 19 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Sport Academy Kairat | 19 | 14 | 4 | 1 | 60 | 10 | 46 |
| 6 | Astana II | 19 | 8 | 2 | 9 | 29 | 37 | 26 |
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