Kaspiy vs Bayterek: result 2-0 and analysis
1. DivisionRegular Season - 15Kick-off on July 3, 2013 at 01:00 PM (UTC)Stadion Jas kanat, Aktau
Full time
What was the result of Kaspiy vs Bayterek?
Kaspiy won 2-0 on July 3, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kaspiy have 8 wins, 4 draws and 3 defeats; Bayterek have 5, 3 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 26, 2013 | Kyran(away) | 2-0 | 1. Division |
| Jun 23, 2013 | Maqtaaral(away) | 2-0 | 1. Division |
| May 29, 2013 | Kaisar(home) | 1-1 | 1. Division |
| May 22, 2013 | BIIK(home) | 2-0 | 1. Division |
| May 19, 2013 | Lashyn(home) | 2-0 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 26, 2013 | BIIK(home) | 2-2 | 1. Division |
| Jun 23, 2013 | Lashyn(home) | 3-0 | 1. Division |
| Jun 1, 2013 | CSKA Almaty(away) | 3-2 | 1. Division |
| May 29, 2013 | Ile-Saulet(away) | 0-2 | 1. Division |
| May 22, 2013 | Astana-64(home) | 1-3 | 1. Division |
What does the head-to-head say?
Across the last 2 meetings: 0 Kaspiy wins, 1 draw, 1 Bayterek win.
| Date | Score | Competition |
|---|---|---|
| Aug 15, 2012 | Kaspiy 0-0 Bayterek | 1. Division |
| May 23, 2012 | Bayterek 3-0 Kaspiy | 1. Division |
How many goals should we expect?
Kaspiy score 1.9 and concede 0.8 goals per match over their last 15; Bayterek score 1.1 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kaspiy | 1.9 | 0.8 | 7 | 7/15 | 5/15 |
| Bayterek | 1.1 | 1.5 | 4 | 7/15 | 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 Bayterek?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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