Astana-64 vs Kaspiy: result 0-2 and analysis
1. DivisionRegular Season - 31Kick-off on September 28, 2013 at 10:30 AM (UTC)Stadion im. Qajimuqan Mungaytpasuli, Astana
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What was the result of Astana-64 vs Kaspiy?
Kaspiy won 0-2 on September 28, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Astana-64 have 4 wins, 8 draws and 3 defeats; Kaspiy have 11, 3 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 21, 2013 | Kyran(away) | 1-1 | 1. Division |
| Sep 18, 2013 | Maqtaaral(away) | 3-2 | 1. Division |
| Sep 11, 2013 | Bulat(home) | 1-1 | 1. Division |
| Sep 8, 2013 | Bayterek(home) | 2-1 | 1. Division |
| Aug 31, 2013 | Sunkar(away) | 1-1 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 21, 2013 | Ile-Saulet(home) | 1-0 | 1. Division |
| Sep 18, 2013 | CSKA Almaty(home) | 3-1 | 1. Division |
| Sep 11, 2013 | Lashyn(away) | 2-0 | 1. Division |
| Sep 8, 2013 | BIIK(away) | 3-1 | 1. Division |
| Sep 1, 2013 | Kaisar(away) | 0-0 | 1. Division |
What does the head-to-head say?
Across the last 5 meetings: 4 Astana-64 wins, 0 draws, 1 Kaspiy win.
| Date | Score | Competition |
|---|---|---|
| Apr 26, 2013 | Kaspiy 2-3 Astana-64 | 1. Division |
| Sep 21, 2012 | Kaspiy 3-0 Astana-64 | 1. Division |
| Jul 13, 2012 | Astana-64 1-0 Kaspiy | 1. Division |
| Oct 23, 2011 | Astana-64 2-1 Kaspiy | 1. Division |
| Apr 24, 2011 | Kaspiy 0-1 Astana-64 | 1. Division |
How many goals should we expect?
Astana-64 score 1.1 and concede 1.3 goals per match over their last 15; Kaspiy score 1.5 and concede 0.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Astana-64 | 1.1 | 1.3 | 5 | 8/15 | 6/15 |
| Kaspiy | 1.5 | 0.6 | 10 | 5/15 | 4/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Kaspiy | 26 | 22 | 2 | 2 | 74 | 27 | 68 |
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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