Khatlon vs Panjsher: result 2-1 and analysis
Vysshaya LigaRegular Season - 16Kick-off on August 12, 2017 at 12:30 PM (UTC)Vaxş-Arena, Kurgan-Tyube
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What was the result of Khatlon vs Panjsher?
Khatlon won 2-1 on August 12, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Khatlon have 2 wins, 5 draws and 8 defeats; Panjsher have 4, 2 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 3, 2017 | Istiqlol(away) | 0-1 | Vysshaya Liga |
| Jul 29, 2017 | CSKA Pomir(away) | 1-1 | Vysshaya Liga |
| Jun 29, 2017 | Istiqlol(home) | 1-5 | Vysshaya Liga |
| Jun 25, 2017 | Khujand(home) | 1-4 | Vysshaya Liga |
| Jun 17, 2017 | Panjsher(away) | 2-6 | Vysshaya Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 5, 2017 | Khujand(away) | 1-2 | Vysshaya Liga |
| Jul 29, 2017 | Regar-TadAZ(home) | 1-0 | Vysshaya Liga |
| Jun 24, 2017 | Khosilot Farkhor(away) | 2-3 | Vysshaya Liga |
| Jun 21, 2017 | Istiqlol(home) | 1-6 | Vysshaya Liga |
| Jun 17, 2017 | Khatlon(home) | 6-2 | Vysshaya Liga |
What does the head-to-head say?
Across the last 2 meetings: 0 Khatlon win(s), 0 draw(s), 2 Panjsher win(s).
| Date | Score | Competition |
|---|---|---|
| Jun 17, 2017 | Panjsher 6-2 Khatlon | Vysshaya Liga |
| Mar 19, 2017 | Khatlon 0-1 Panjsher | Vysshaya Liga |
How many goals should we expect?
Khatlon score 0.6 and concede 1.6 goals per match over their last 15; Panjsher score 1.2 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Khatlon | 0.6 | 1.6 | 5 | 5/15 | 4/15 |
| Panjsher | 1.2 | 2.0 | 4 | 8/15 | 9/15 |
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