Kaspiy vs Baykonur: result 2-0 and analysis
1. DivisionRegular Season - 25Kick-off on October 24, 2015 at 09:00 AM (UTC)Stadion Jas kanat, Aktau
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What was the result of Kaspiy vs Baykonur?
Kaspiy won 2-0 on October 24, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kaspiy have 7 wins, 4 draws and 4 defeats; Baykonur have 5, 2 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 17, 2015 | CSKA Almaty(away) | 2-3 | 1. Division |
| Oct 11, 2015 | Kyran(home) | 1-2 | 1. Division |
| Sep 28, 2015 | Bayterek(away) | 1-0 | 1. Division |
| Sep 19, 2015 | Maqtaaral(home) | 0-0 | 1. Division |
| Sep 12, 2015 | Ekibastuz(away) | 0-0 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 17, 2015 | Bayterek(home) | 2-1 | 1. Division |
| Oct 11, 2015 | Maqtaaral(away) | 1-2 | 1. Division |
| Oct 4, 2015 | Ekibastuz(home) | 1-1 | 1. Division |
| Sep 26, 2015 | Bulat(away) | 0-2 | 1. Division |
| Sep 19, 2015 | Akzhayik(home) | 0-2 | 1. Division |
What does the head-to-head say?
In the last meeting: 1 Kaspiy win, 0 draws, 0 Baykonur wins.
| Date | Score | Competition |
|---|---|---|
| Jul 11, 2015 | Baykonur 0-1 Kaspiy | 1. Division |
How many goals should we expect?
Kaspiy score 1.3 and concede 0.7 goals per match over their last 15; Baykonur score 0.9 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kaspiy | 1.3 | 0.7 | 9 | 5/15 | 6/15 |
| Baykonur | 0.9 | 1.5 | 3 | 6/15 | 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 Kaspiy vs Baykonur?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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