Kaisar vs Kaspiy: result 0-0 and analysis
1. DivisionRegular Season - 26Kick-off on September 1, 2013 at 12:00 PM (UTC)Stadion im. Gany Muratbaeva, Kyzylorda
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What was the result of Kaisar vs Kaspiy?
Kaisar and Kaspiy drew 0-0 on September 1, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kaisar have 13 wins, 2 draws and 0 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 |
|---|---|---|---|
| Aug 20, 2013 | Kyran(home) | 2-0 | 1. Division |
| Aug 17, 2013 | Maqtaaral(home) | 5-0 | 1. Division |
| Aug 10, 2013 | Bulat(away) | 2-0 | 1. Division |
| Aug 7, 2013 | Bayterek(away) | 4-0 | 1. Division |
| Jul 30, 2013 | Sunkar(home) | 4-1 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 20, 2013 | Maqtaaral(home) | 1-0 | 1. Division |
| Aug 17, 2013 | Kyran(home) | 4-1 | 1. Division |
| Aug 10, 2013 | Bayterek(away) | 1-0 | 1. Division |
| Aug 7, 2013 | Bulat(away) | 1-0 | 1. Division |
| Jul 30, 2013 | Ak-Bulak(home) | 1-0 | 1. Division |
What does the head-to-head say?
In the last meeting: 0 Kaisar wins, 1 draw, 0 Kaspiy wins.
| Date | Score | Competition |
|---|---|---|
| May 29, 2013 | Kaspiy 1-1 Kaisar | 1. Division |
How many goals should we expect?
Kaisar score 2.9 and concede 0.4 goals per match over their last 15; Kaspiy score 1.5 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kaisar | 2.9 | 0.4 | 10 | 5/15 | 10/15 |
| Kaspiy | 1.5 | 0.5 | 11 | 4/15 | 2/15 |
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 Kaisar 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