Kyzylzhar vs Kaspiy: result 1-0 and analysis
1. DivisionRegular Season - 5Kick-off on May 20, 2012 at 10:00 PM (UTC)Stadion Karasay, Petropavlosvk
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What was the result of Kyzylzhar vs Kaspiy?
Kyzylzhar won 1-0 on May 20, 2012.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kyzylzhar have 3 wins, 5 draws and 7 defeats; Kaspiy have 4, 4 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 10, 2012 | Ekibastuz(away) | 1-2 | 1. Division |
| May 7, 2012 | Astana-64(away) | 1-0 | 1. Division |
| Apr 30, 2012 | Kyran(home) | 2-3 | 1. Division |
| Apr 27, 2012 | Lashyn(home) | 0-0 | 1. Division |
| Oct 23, 2011 | Spartak Semey(away) | 1-1 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 10, 2012 | CSKA Almaty(home) | 4-1 | 1. Division |
| May 7, 2012 | BIIK(home) | 0-0 | 1. Division |
| Apr 30, 2012 | Spartak Semey(home) | 1-0 | 1. Division |
| Apr 27, 2012 | Vostok(home) | 1-1 | 1. Division |
| Oct 23, 2011 | Astana-64(away) | 1-2 | 1. Division |
What does the head-to-head say?
Across the last 2 meetings: 1 Kyzylzhar win, 0 draws, 1 Kaspiy win.
| Date | Score | Competition |
|---|---|---|
| Sep 20, 2011 | Kaspiy 2-1 Kyzylzhar | 1. Division |
| May 27, 2011 | Kyzylzhar 1-0 Kaspiy | 1. Division |
How many goals should we expect?
Kyzylzhar score 1.3 and concede 1.4 goals per match over their last 15; Kaspiy score 1.0 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kyzylzhar | 1.3 | 1.4 | 3 | 10/15 | 9/15 |
| Kaspiy | 1.0 | 1.3 | 3 | 9/15 | 8/15 |
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 |
A question about Kyzylzhar vs Kaspiy?
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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