Kyran vs Kaspiy: result 3-3 and analysis
CupGroup Stage - 1Kick-off on March 19, 2018 at 09:00 AM (UTC)Stadion Namys, Shymkent
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What was the result of Kyran vs Kaspiy?
Kyran and Kaspiy drew 3-3 on March 19, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kyran have 4 wins, 3 draws and 8 defeats; Kaspiy have 2, 5 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 29, 2017 | Maqtaaral(away) | 1-0 | 1. Division |
| Oct 17, 2017 | Bulat(home) | 3-2 | 1. Division |
| Oct 13, 2017 | Kaspiy(away) | 0-0 | 1. Division |
| Oct 1, 2017 | Ekibastuz(home) | 1-0 | 1. Division |
| Sep 24, 2017 | Zhetysu(away) | 0-3 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 28, 2017 | Sport Academy Kairat(away) | 0-3 | 1. Division |
| Oct 22, 2017 | Baykonur(home) | 2-2 | 1. Division |
| Oct 17, 2017 | Maqtaaral(away) | 0-1 | 1. Division |
| Oct 13, 2017 | Kyran(home) | 0-0 | 1. Division |
| Oct 3, 2017 | Bulat(away) | 0-1 | 1. Division |
What does the head-to-head say?
Across the last 6 meetings: 3 Kyran wins, 2 draws, 1 Kaspiy win.
| Date | Score | Competition |
|---|---|---|
| Oct 13, 2017 | Kaspiy 0-0 Kyran | 1. Division |
| Jul 22, 2017 | Kyran 0-0 Kaspiy | 1. Division |
| May 21, 2017 | Kaspiy 1-3 Kyran | 1. Division |
| Jun 26, 2016 | Kaspiy 1-0 Kyran | 1. Division |
| May 3, 2016 | Kyran 2-0 Kaspiy | 1. Division |
| Oct 11, 2015 | Kaspiy 1-2 Kyran | 1. Division |
How many goals should we expect?
Kyran score 0.9 and concede 1.9 goals per match over their last 15; Kaspiy score 0.3 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kyran | 0.9 | 1.9 | 5 | 7/15 | 10/15 |
| Kaspiy | 0.3 | 1.2 | 5 | 2/15 | 3/15 |
Over the last 15 matches in all competitions.
A question about Kyran vs Kaspiy?
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