Bulat vs Kyran: result 0-1 and analysis
1. DivisionRegular Season - 13Kick-off on July 19, 2021 at 01:00 PM (UTC)Stadion Shakhter, Karaganda
Full time
What was the result of Bulat vs Kyran?
Kyran won 0-1 on July 19, 2021.
Goalscorers
- 57′?Kyran
What is the recent form of both teams?
Over their last 15 matches in all competitions, Bulat have 3 wins, 2 draws and 10 defeats; Kyran have 9, 5 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 4, 2021 | Baykonur(home) | 5-0 | 1. Division |
| Jun 30, 2021 | Maqtaaral(away) | 0-5 | 1. Division |
| Jun 25, 2021 | Kyzyl-Zhar II(away) | 3-0 | 1. Division |
| Jun 18, 2021 | Igilik(away) | 1-2 | 1. Division |
| Jun 13, 2021 | Ekibastuz(home) | 1-2 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 12, 2021 | Ekibastuz(home) | 3-3 | 1. Division |
| Jul 3, 2021 | Taraz Karatau(away) | 1-1 | 1. Division |
| Jun 25, 2021 | Okzhetpes(home) | 3-3 | 1. Division |
| Jun 19, 2021 | FK Aksu(away) | 1-1 | 1. Division |
| Jun 13, 2021 | Igilik(home) | 6-0 | 1. Division |
What does the head-to-head say?
Across the last 6 meetings: 0 Bulat wins, 1 draw, 5 Kyran wins.
| Date | Score | Competition |
|---|---|---|
| Apr 26, 2021 | Kyran 3-1 Bulat | 1. Division |
| Sep 28, 2019 | Kyran 3-0 Bulat | 1. Division |
| Jun 15, 2019 | Bulat 1-1 Kyran | 1. Division |
| Nov 4, 2018 | Kyran 2-0 Bulat | 1. Division |
| Aug 4, 2018 | Bulat 0-4 Kyran | 1. Division |
| Apr 1, 2018 | Kyran 4-1 Bulat | 1. Division |
How many goals should we expect?
Bulat score 1.6 and concede 2.1 goals per match over their last 15; Kyran score 3.3 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Bulat | 1.6 | 2.1 | 3 | 8/15 | 12/15 |
| Kyran | 3.3 | 1.2 | 4 | 11/15 | 11/15 |
Over the last 15 matches in all competitions.
A question about Bulat 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