Khan Tengri vs Kyran: prediction and stats
1. DivisionRegular Season - 15Kick-off on July 11, 2024 at 12:00 AM (UTC)
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Khan Tengri have 8 wins, 5 draws and 2 defeats; Kyran 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 |
|---|---|---|---|
| Jul 4, 2024 | Kaisar II(home) | 4-2 | 1. Division |
| Jun 28, 2024 | SD Family(away) | 0-3 | 1. Division |
| Jun 21, 2024 | Ulytau(away) | 2-0 | 1. Division |
| Jun 13, 2024 | Ekibastuz(home) | 2-1 | 1. Division |
| Jun 6, 2024 | Kaspiy(away) | 5-3 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 30, 2024 | Kaspiy(home) | 0-3 | 1. Division |
| May 23, 2024 | Okzhetpes(home) | 0-1 | 1. Division |
| May 17, 2024 | Sport Academy Kairat(away) | 1-10 | 1. Division |
| May 10, 2024 | Ulytau(home) | 0-1 | 1. Division |
| Apr 26, 2024 | Zhetisay(home) | 0-1 | 1. Division |
What does the head-to-head say?
Across the last 2 meetings: 0 Khan Tengri wins, 0 draws, 2 Kyran wins.
| Date | Score | Competition |
|---|---|---|
| Oct 20, 2023 | Khan Tengri 0-3 Kyran | 1. Division |
| Jul 7, 2023 | Kyran 2-1 Khan Tengri | 1. Division |
How many goals should we expect?
Khan Tengri score 1.8 and concede 1.1 goals per match over their last 15; Kyran score 1.3 and concede 2.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Khan Tengri | 1.8 | 1.1 | 8 | 5/15 | 8/15 |
| Kyran | 1.3 | 2.2 | 3 | 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 |
|---|---|---|---|---|---|---|---|---|
| 9 | Khan Tengri | 26 | 9 | 5 | 12 | 35 | 48 | 32 |
A question about Khan Tengri vs Kyran?
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