Irtysh vs Kyzyl-Zhar: result 5-0 and analysis
Premier LeagueRegular Season - 11Kick-off on May 19, 2018 at 10:00 AM (UTC)Ortalıq Stadion, Pavlodar
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What was the result of Irtysh vs Kyzyl-Zhar?
Irtysh won 5-0 on May 19, 2018.
Goalscorers
- 17′Pavel ShabalinIrtysh
- 28′Pavel ShabalinIrtysh
- 44′M. StamenkovićIrtysh
- 83′G. SalamiIrtysh
- 90′D. PopadiucIrtysh
What is the recent form of both teams?
Over their last 15 matches in all competitions, Irtysh have 5 wins, 3 draws and 7 defeats; Kyzyl-Zhar have 2, 5 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 13, 2018 | Shakhter Karagandy(away) | 1-0 | Premier League |
| May 9, 2018 | FK Tobol Kostanay(home) | 0-1 | Premier League |
| May 5, 2018 | Ordabasy(away) | 0-1 | Premier League |
| Apr 28, 2018 | Kairat Almaty(home) | 1-2 | Premier League |
| Apr 22, 2018 | Zhetysu(away) | 1-2 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 13, 2018 | Kaisar(home) | 0-0 | Premier League |
| May 9, 2018 | FC Astana(away) | 0-2 | Premier League |
| May 5, 2018 | Akzhayik(home) | 2-1 | Premier League |
| Apr 29, 2018 | Aktobe(away) | 0-2 | Premier League |
| Apr 25, 2018 | FC Astana(home) | 0-2 | Premier League |
How many goals should we expect?
Irtysh score 0.9 and concede 1.3 goals per match over their last 15; Kyzyl-Zhar score 0.7 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Irtysh | 0.9 | 1.3 | 4 | 8/15 | 7/15 |
| Kyzyl-Zhar | 0.7 | 1.3 | 4 | 7/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Irtysh sit 15th in Premier League (17 points from 21 matches) and Kyzyl-Zhar sit 10th (24 points from 22 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | Kyzyl-Zhar | 22 | 6 | 6 | 10 | 26 | 31 | 24 |
| 15 | Irtysh | 21 | 3 | 8 | 10 | 20 | 30 | 17 |
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