Kyzyl-Zhar vs Kyran: result 3-0 and analysis
1. DivisionMatchday 9Kick-off on June 5, 2016 at 11:00 AM (UTC)Stadion Karasay, Petropavlosvk
Full time
What was the result of Kyzyl-Zhar vs Kyran?
Kyzyl-Zhar won 3-0 on June 5, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kyzyl-Zhar have 10 wins, 2 draws and 3 defeats; Kyran have 7, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 29, 2016 | Ekibastuz(away) | 1-0 | 1. Division |
| May 19, 2016 | Bayterek(away) | 2-1 | 1. Division |
| May 14, 2016 | Altay(home) | 1-1 | 1. Division |
| May 8, 2016 | Kaisar(away) | 0-2 | 1. Division |
| May 2, 2016 | Bulat(home) | 2-0 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 31, 2016 | Altay(home) | 0-2 | 1. Division |
| May 22, 2016 | Kaisar(away) | 0-2 | 1. Division |
| May 15, 2016 | Bulat(home) | 2-0 | 1. Division |
| May 8, 2016 | Maqtaaral(away) | 1-3 | 1. Division |
| May 3, 2016 | Kaspiy(home) | 2-0 | 1. Division |
What does the head-to-head say?
Across the last 4 meetings: 0 Kyzyl-Zhar wins, 1 draw, 3 Kyran wins.
| Date | Score | Competition |
|---|---|---|
| Aug 1, 2015 | Kyran 3-2 Kyzyl-Zhar | 1. Division |
| Apr 18, 2015 | Kyzyl-Zhar 1-1 Kyran | 1. Division |
| Aug 9, 2014 | Kyzyl-Zhar 0-2 Kyran | 1. Division |
| Jul 6, 2014 | Kyran 3-1 Kyzyl-Zhar | 1. Division |
How many goals should we expect?
Kyzyl-Zhar score 1.7 and concede 0.8 goals per match over their last 15; Kyran score 1.5 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kyzyl-Zhar | 1.7 | 0.8 | 6 | 8/15 | 7/15 |
| Kyran | 1.5 | 0.9 | 6 | 6/15 | 6/15 |
Over the last 15 matches in all competitions.
A question about Kyzyl-Zhar vs Kyran?
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