Maqtaaral vs Baykonur: result 1-0 and analysis
1. DivisionRegular Season - 17Kick-off on August 17, 2019 at 12:30 PM (UTC)Stadion im. K. Munaytpasova (Zhetisay), Zhetisay
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What was the result of Maqtaaral vs Baykonur?
Maqtaaral won 1-0 on August 17, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Maqtaaral have 4 wins, 2 draws and 9 defeats; Baykonur have 8, 3 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 10, 2019 | Akademiya Ontustik(away) | 2-1 | 1. Division |
| Aug 3, 2019 | Altay(home) | 0-1 | 1. Division |
| Jul 27, 2019 | Kaspiy(away) | 0-1 | 1. Division |
| Jul 6, 2019 | Bulat(away) | 0-4 | 1. Division |
| Jun 29, 2019 | Ekibastuz(home) | 2-1 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 10, 2019 | Bulat(home) | 1-0 | 1. Division |
| Aug 3, 2019 | Ekibastuz(away) | 1-0 | 1. Division |
| Jul 27, 2019 | Kyran(home) | 3-2 | 1. Division |
| Jul 6, 2019 | Aktobe Jas(away) | 2-0 | 1. Division |
| Jun 29, 2019 | Akzhayik(home) | 0-2 | 1. Division |
What does the head-to-head say?
Across the last 6 meetings: 2 Maqtaaral win(s), 3 draw(s), 1 Baykonur win(s).
| Date | Score | Competition |
|---|---|---|
| May 4, 2019 | Baykonur 0-0 Maqtaaral | 1. Division |
| Oct 21, 2018 | Maqtaaral 3-2 Baykonur | 1. Division |
| Jul 16, 2018 | Baykonur 2-0 Maqtaaral | 1. Division |
| May 19, 2018 | Maqtaaral 3-0 Baykonur | 1. Division |
| Sep 16, 2017 | Baykonur 1-1 Maqtaaral | 1. Division |
| Aug 5, 2017 | Baykonur 0-0 Maqtaaral | 1. Division |
How many goals should we expect?
Maqtaaral score 0.8 and concede 1.7 goals per match over their last 15; Baykonur score 1.7 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Maqtaaral | 0.8 | 1.7 | 3 | 6/15 | 8/15 |
| Baykonur | 1.7 | 1.4 | 5 | 9/15 | 9/15 |
Over the last 15 matches in all competitions.
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