Cesna vs Kaspiy: result 1-2 and analysis
1. DivisionRegular Season - 31Kick-off on September 30, 2011 at 10:00 AM (UTC)Stadion Cesna
Full time
What was the result of Cesna vs Kaspiy?
Kaspiy won 1-2 on September 30, 2011.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Cesna have 4 wins, 3 draws and 8 defeats; Kaspiy have 5, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 23, 2011 | Gefest(away) | 3-0 | 1. Division |
| Sep 13, 2011 | Tarlan(home) | 0-0 | 1. Division |
| Sep 10, 2011 | Lashyn(home) | 1-0 | 1. Division |
| Sep 3, 2011 | Ak-Bulak(away) | 1-2 | 1. Division |
| Aug 31, 2011 | Sunkar(away) | 1-2 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 23, 2011 | Okzhetpes(home) | 1-2 | 1. Division |
| Sep 20, 2011 | Kyzylzhar(home) | 2-1 | 1. Division |
| Sep 13, 2011 | Ile-Saulet(away) | 0-3 | 1. Division |
| Aug 31, 2011 | Gefest(away) | 1-3 | 1. Division |
| Aug 24, 2011 | Lashyn(home) | 1-2 | 1. Division |
What does the head-to-head say?
In the last meeting: 0 Cesna wins, 0 draws, 1 Kaspiy win.
| Date | Score | Competition |
|---|---|---|
| May 17, 2011 | Kaspiy 1-0 Cesna | 1. Division |
How many goals should we expect?
Cesna score 1.1 and concede 1.7 goals per match over their last 15; Kaspiy score 1.1 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Cesna | 1.1 | 1.7 | 5 | 7/15 | 8/15 |
| Kaspiy | 1.1 | 1.5 | 3 | 10/15 | 9/15 |
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 Cesna 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