Taraz vs Maqtaaral: result 2-1 and analysis
1. DivisionRegular Season - 21Kick-off on July 28, 2018 at 01:30 PM (UTC)Ortalyq stadıon, Taraz
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What was the result of Taraz vs Maqtaaral?
Taraz won 2-1 on July 28, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Taraz have 9 wins, 5 draws and 1 defeat; Maqtaaral have 7, 2 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 23, 2018 | Aktobe Jas(away) | 2-0 | 1. Division |
| Jul 22, 2018 | Zhetysu II(away) | 1-0 | 1. Division |
| Jul 15, 2018 | Kyran(home) | 7-0 | 1. Division |
| Jul 6, 2018 | Altay(home) | 1-1 | 1. Division |
| Jun 30, 2018 | Bulat(away) | 2-1 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 21, 2018 | Kaspiy(home) | 1-0 | 1. Division |
| Jul 16, 2018 | Baykonur(away) | 0-2 | 1. Division |
| Jul 11, 2018 | Sport Academy Kairat(home) | 1-0 | 1. Division |
| Jul 6, 2018 | Zhetysu II(home) | 1-1 | 1. Division |
| Jun 30, 2018 | Kyran(away) | 1-3 | 1. Division |
What does the head-to-head say?
In the last meeting: 1 Taraz win, 0 draws, 0 Maqtaaral wins.
| Date | Score | Competition |
|---|---|---|
| May 31, 2018 | Maqtaaral 1-2 Taraz | 1. Division |
How many goals should we expect?
Taraz score 2.3 and concede 0.9 goals per match over their last 15; Maqtaaral score 1.5 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Taraz | 2.3 | 0.9 | 7 | 8/15 | 8/15 |
| Maqtaaral | 1.5 | 1.4 | 4 | 7/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Taraz | 24 | 8 | 7 | 9 | 31 | 33 | 31 |
A question about Taraz 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