Altay vs Baykonur: result 2-0 and analysis
1. DivisionRegular Season - 33Kick-off on November 4, 2018 at 09:00 AM (UTC)Stadion Spartak, Semipalatinsk
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What was the result of Altay vs Baykonur?
Altay won 2-0 on November 4, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Altay have 7 wins, 4 draws and 4 defeats; Baykonur have 5, 3 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 27, 2018 | Bulat(away) | 1-0 | 1. Division |
| Oct 21, 2018 | Kaspiy(home) | 3-1 | 1. Division |
| Oct 5, 2018 | Okzhetpes(away) | 1-2 | 1. Division |
| Sep 30, 2018 | Taraz(home) | 0-0 | 1. Division |
| Sep 21, 2018 | Kyran(away) | 2-1 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 27, 2018 | Zhetysu II(home) | 2-3 | 1. Division |
| Oct 21, 2018 | Maqtaaral(away) | 2-3 | 1. Division |
| Oct 5, 2018 | Sport Academy Kairat(home) | 2-1 | 1. Division |
| Sep 30, 2018 | Ekibastuz(away) | 1-2 | 1. Division |
| Sep 22, 2018 | Aktobe Jas(away) | 3-0 | 1. Division |
What does the head-to-head say?
Across the last 4 meetings: 4 Altay win(s), 0 draw(s), 0 Baykonur win(s).
| Date | Score | Competition |
|---|---|---|
| Jun 24, 2018 | Baykonur 0-1 Altay | 1. Division |
| Apr 27, 2018 | Altay 3-0 Baykonur | 1. Division |
| Jul 31, 2016 | Baykonur 0-2 Altay | 1. Division |
| Jun 5, 2016 | Altay 6-0 Baykonur | 1. Division |
How many goals should we expect?
Altay score 1.5 and concede 1.3 goals per match over their last 15; Baykonur score 1.6 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Altay | 1.5 | 1.3 | 4 | 11/15 | 9/15 |
| Baykonur | 1.6 | 1.6 | 5 | 8/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Altay | 26 | 17 | 4 | 5 | 54 | 23 | 55 |
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