Bayterek vs Maqtaaral: result 0-0 and analysis
1. DivisionRegular Season - 7Kick-off on May 24, 2015 at 09:00 AM (UTC)Astana Arena, Astana
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What was the result of Bayterek vs Maqtaaral?
Bayterek and Maqtaaral drew 0-0 on May 24, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Bayterek have 5 wins, 2 draws and 8 defeats; Maqtaaral have 3, 6 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 16, 2015 | Ekibastuz(away) | 1-1 | 1. Division |
| May 9, 2015 | Bulat(home) | 2-3 | 1. Division |
| May 3, 2015 | Akzhayik(away) | 1-3 | 1. Division |
| Apr 25, 2015 | Vostok(home) | 0-3 | 1. Division |
| Apr 18, 2015 | Lashyn(away) | 0-1 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 9, 2015 | Ekibastuz(home) | 0-1 | 1. Division |
| May 3, 2015 | Bulat(away) | 0-0 | 1. Division |
| Apr 25, 2015 | Akzhayik(home) | 1-1 | 1. Division |
| Apr 18, 2015 | Vostok(away) | 0-1 | 1. Division |
| Apr 4, 2015 | Lashyn(home) | 1-0 | 1. Division |
What does the head-to-head say?
Across the last 4 meetings: 1 Bayterek win, 1 draw, 2 Maqtaaral wins.
| Date | Score | Competition |
|---|---|---|
| Sep 27, 2014 | Bayterek 1-1 Maqtaaral | 1. Division |
| May 18, 2014 | Maqtaaral 5-3 Bayterek | 1. Division |
| Jul 30, 2013 | Maqtaaral 3-0 Bayterek | 1. Division |
| Jul 13, 2013 | Bayterek 2-0 Maqtaaral | 1. Division |
Last archived meeting: Bayterek vs Maqtaaral on Sep 27, 2014
How many goals should we expect?
Bayterek score 1.3 and concede 2.2 goals per match over their last 15; Maqtaaral score 0.8 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Bayterek | 1.3 | 2.2 | 2 | 8/15 | 10/15 |
| Maqtaaral | 0.8 | 1.3 | 5 | 6/15 | 5/15 |
Over the last 15 matches in all competitions.
A question about Bayterek vs Maqtaaral?
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