CSKA Almaty vs Maqtaaral: result 3-1 and analysis
1. DivisionRegular Season - 22Kick-off on October 3, 2015 at 10:00 AM (UTC)Stadion CSKA, Almaty
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What was the result of CSKA Almaty vs Maqtaaral?
CSKA Almaty won 3-1 on October 3, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, CSKA Almaty have 4 wins, 3 draws and 8 defeats; Maqtaaral have 4, 8 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 26, 2015 | Ekibastuz(away) | 0-1 | 1. Division |
| Sep 19, 2015 | Bulat(home) | 0-2 | 1. Division |
| Sep 12, 2015 | Akzhayik(away) | 1-8 | 1. Division |
| Aug 29, 2015 | Vostok(home) | 0-1 | 1. Division |
| Aug 22, 2015 | Lashyn(away) | 3-0 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 26, 2015 | Kyran(home) | 0-0 | 1. Division |
| Sep 19, 2015 | Kaspiy(away) | 0-0 | 1. Division |
| Aug 22, 2015 | Ekibastuz(away) | 0-0 | 1. Division |
| Aug 15, 2015 | Bulat(home) | 2-2 | 1. Division |
| Aug 8, 2015 | Akzhayik(away) | 2-2 | 1. Division |
What does the head-to-head say?
Across the last 5 meetings: 2 CSKA Almaty win(s), 2 draw(s), 1 Maqtaaral win(s).
| Date | Score | Competition |
|---|---|---|
| Jun 21, 2015 | Maqtaaral 2-1 CSKA Almaty | 1. Division |
| Aug 23, 2014 | CSKA Almaty 4-3 Maqtaaral | 1. Division |
| Jun 22, 2014 | Maqtaaral 3-4 CSKA Almaty | 1. Division |
| Sep 8, 2013 | CSKA Almaty 0-0 Maqtaaral | 1. Division |
| May 22, 2013 | Maqtaaral 1-1 CSKA Almaty | 1. Division |
Last archived meeting: Maqtaaral vs CSKA Almaty on Jun 21, 2015
How many goals should we expect?
CSKA Almaty score 1.1 and concede 1.9 goals per match over their last 15; Maqtaaral score 0.8 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| CSKA Almaty | 1.1 | 1.9 | 3 | 6/15 | 9/15 |
| Maqtaaral | 0.8 | 0.5 | 9 | 3/15 | 4/15 |
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