Khatlon vs Panjsher: result 1-0 and analysis
Vysshaya LigaRegular Season - 3Kick-off on March 31, 2018 at 10:30 AM (UTC)Vaxş-Arena, Kurgan-Tyube
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What was the result of Khatlon vs Panjsher?
Khatlon won 1-0 on March 31, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Khatlon have 3 wins, 4 draws and 8 defeats; Panjsher have 3, 3 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 16, 2018 | Khujand(away) | 1-2 | Vysshaya Liga |
| Mar 10, 2018 | Istiqlol(home) | 1-3 | Vysshaya Liga |
| Oct 21, 2017 | Khujand(away) | 1-1 | Vysshaya Liga |
| Sep 23, 2017 | Barki Tajik(home) | 0-1 | Vysshaya Liga |
| Sep 17, 2017 | Khosilot Farkhor(away) | 2-0 | Vysshaya Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 17, 2018 | CSKA Pomir(home) | 1-1 | Vysshaya Liga |
| Mar 12, 2018 | Kuktosh(home) | 1-2 | Vysshaya Liga |
| Oct 21, 2017 | Khosilot Farkhor(home) | 2-1 | Vysshaya Liga |
| Sep 23, 2017 | Regar-TadAZ(away) | 0-6 | Vysshaya Liga |
| Sep 18, 2017 | Istiqlol(home) | 0-5 | Vysshaya Liga |
What does the head-to-head say?
Across the last 3 meetings: 1 Khatlon win(s), 0 draw(s), 2 Panjsher win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 12, 2017 | Khatlon 2-1 Panjsher | Vysshaya Liga |
| 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 1.0 and concede 1.8 goals per match over their last 15; Panjsher score 1.3 and concede 2.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Khatlon | 1.0 | 1.8 | 3 | 9/15 | 6/15 |
| Panjsher | 1.3 | 2.7 | 1 | 10/15 | 11/15 |
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