Kuktosh vs Khatlon: result 2-0 and analysis
Vysshaya LigaRegular Season - 6Kick-off on May 11, 2019 at 12:00 PM (UTC)Stadion Neftyanik, Rudaki
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What was the result of Kuktosh vs Khatlon?
Kuktosh won 2-0 on May 11, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kuktosh have 7 wins, 1 draws and 7 defeats; Khatlon have 4, 5 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 4, 2019 | Khujand(away) | 1-2 | Vysshaya Liga |
| Apr 27, 2019 | Panjsher(home) | 3-1 | Vysshaya Liga |
| Apr 22, 2019 | Istiqlol(home) | 2-2 | Vysshaya Liga |
| Apr 14, 2019 | Regar-TadAZ(away) | 0-3 | Vysshaya Liga |
| Apr 6, 2019 | CSKA Pomir(home) | 2-0 | Vysshaya Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 4, 2019 | Regar-TadAZ(home) | 2-2 | Vysshaya Liga |
| Apr 27, 2019 | CSKA Pomir(away) | 0-0 | Vysshaya Liga |
| Apr 21, 2019 | Istaravshan(home) | 2-1 | Vysshaya Liga |
| Apr 11, 2019 | Istiqlol(away) | 1-3 | Vysshaya Liga |
| Apr 7, 2019 | Khujand(away) | 0-1 | Vysshaya Liga |
What does the head-to-head say?
Across the last 3 meetings: 1 Kuktosh win(s), 1 draw(s), 1 Khatlon win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 14, 2018 | Khatlon 1-0 Kuktosh | Vysshaya Liga |
| May 26, 2018 | Kuktosh 4-2 Khatlon | Vysshaya Liga |
| Apr 13, 2018 | Khatlon 1-1 Kuktosh | Vysshaya Liga |
How many goals should we expect?
Kuktosh score 1.7 and concede 1.6 goals per match over their last 15; Khatlon score 1.3 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kuktosh | 1.7 | 1.6 | 2 | 10/15 | 11/15 |
| Khatlon | 1.3 | 1.4 | 3 | 9/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | Khatlon | 14 | 4 | 6 | 4 | 20 | 19 | 18 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy