Maqtaaral vs Baykonur: result 3-0 and analysis
1. DivisionRegular Season - 14Kick-off on July 9, 2016 at 12:00 PM (UTC)Stadion im. K. Munaytpasova (Zhetisay), Zhetisay
Full time
What was the result of Maqtaaral vs Baykonur?
Maqtaaral won 3-0 on July 9, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Maqtaaral have 6 wins, 7 draws and 2 defeats; Baykonur have 1, 2 and 12.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 2, 2016 | Kyran(away) | 0-1 | 1. Division |
| Jun 26, 2016 | Ekibastuz(home) | 0-0 | 1. Division |
| Jun 18, 2016 | Kyzyl-Zhar(away) | 1-3 | 1. Division |
| Jun 11, 2016 | Altay(home) | 1-1 | 1. Division |
| Jun 5, 2016 | Bulat(away) | 2-1 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 2, 2016 | Kaspiy(home) | 1-1 | 1. Division |
| Jun 26, 2016 | Bayterek(away) | 1-2 | 1. Division |
| Jun 17, 2016 | Kyran(away) | 1-7 | 1. Division |
| Jun 11, 2016 | Ekibastuz(home) | 0-1 | 1. Division |
| Jun 5, 2016 | Altay(away) | 0-6 | 1. Division |
What does the head-to-head say?
Across the last 3 meetings: 2 Maqtaaral wins, 0 draws, 1 Baykonur win.
| Date | Score | Competition |
|---|---|---|
| May 15, 2016 | Baykonur 0-1 Maqtaaral | 1. Division |
| Oct 11, 2015 | Maqtaaral 2-1 Baykonur | 1. Division |
| Jun 28, 2015 | Baykonur 1-0 Maqtaaral | 1. Division |
Last archived meeting: Baykonur vs Maqtaaral on May 15, 2016
How many goals should we expect?
Maqtaaral score 1.2 and concede 0.8 goals per match over their last 15; Baykonur score 0.7 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Maqtaaral | 1.2 | 0.8 | 6 | 8/15 | 6/15 |
| Baykonur | 0.7 | 2.3 | 2 | 6/15 | 8/15 |
Over the last 15 matches in all competitions.
A question about Maqtaaral vs Baykonur?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy