Kaisar vs Altay: result 1-0 and analysis
1. DivisionPromotion Round - 10Kick-off on October 30, 2016 at 09:00 AM (UTC)Stadion im. Gany Muratbaeva, Kyzylorda
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What was the result of Kaisar vs Altay?
Kaisar won 1-0 on October 30, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kaisar have 10 wins, 4 draws and 1 defeats; Altay have 10, 3 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 22, 2016 | Kyzyl-Zhar(away) | 1-1 | 1. Division |
| Oct 15, 2016 | Ekibastuz(home) | 2-0 | 1. Division |
| Oct 9, 2016 | Kaspiy(away) | 2-0 | 1. Division |
| Oct 2, 2016 | Maqtaaral(home) | 1-0 | 1. Division |
| Sep 24, 2016 | Kyzyl-Zhar(home) | 2-0 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 22, 2016 | Maqtaaral(away) | 3-2 | 1. Division |
| Oct 15, 2016 | Kyzyl-Zhar(home) | 0-1 | 1. Division |
| Oct 9, 2016 | Ekibastuz(away) | 2-0 | 1. Division |
| Oct 2, 2016 | Kaspiy(home) | 5-0 | 1. Division |
| Sep 24, 2016 | Maqtaaral(home) | 2-3 | 1. Division |
What does the head-to-head say?
Across the last 3 meetings: 0 Kaisar win(s), 2 draw(s), 1 Altay win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 27, 2016 | Altay 1-0 Kaisar | 1. Division |
| Jun 26, 2016 | Kaisar 1-1 Altay | 1. Division |
| May 2, 2016 | Altay 0-0 Kaisar | 1. Division |
How many goals should we expect?
Kaisar score 1.6 and concede 0.4 goals per match over their last 15; Altay score 2.0 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kaisar | 1.6 | 0.4 | 10 | 4/15 | 4/15 |
| Altay | 2.0 | 0.7 | 9 | 5/15 | 5/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Altay | 26 | 17 | 4 | 5 | 54 | 23 | 55 |
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