Barki Tajik vs Panjsher: result 0-1 and analysis
Vysshaya LigaRegular Season - 8Kick-off on April 29, 2017 at 11:30 AM (UTC)Republican Central Stadium, Dushanbe
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What was the result of Barki Tajik vs Panjsher?
Panjsher won 0-1 on April 29, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Barki Tajik have 6 wins, 2 draws and 7 defeats; Panjsher have 1, 2 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 22, 2017 | Panjsher(away) | 3-2 | Vysshaya Liga |
| Apr 16, 2017 | Khujand(home) | 1-1 | Vysshaya Liga |
| Apr 9, 2017 | CSKA Pomir(away) | 0-1 | Vysshaya Liga |
| Apr 2, 2017 | Khatlon(home) | 0-0 | Vysshaya Liga |
| Mar 18, 2017 | Khosilot Farkhor(home) | 2-1 | Vysshaya Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 22, 2017 | Barki Tajik(home) | 2-3 | Vysshaya Liga |
| Apr 14, 2017 | Istiqlol(away) | 1-2 | Vysshaya Liga |
| Apr 8, 2017 | Khujand(away) | 1-2 | Vysshaya Liga |
| Apr 1, 2017 | CSKA Pomir(home) | 0-0 | Vysshaya Liga |
| Mar 19, 2017 | Khatlon(away) | 1-0 | Vysshaya Liga |
What does the head-to-head say?
Across the last 1 meetings: 1 Barki Tajik win(s), 0 draw(s), 0 Panjsher win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 22, 2017 | Panjsher 2-3 Barki Tajik | Vysshaya Liga |
Last archived meeting: Panjsher vs Barki Tajik on Apr 22, 2017
How many goals should we expect?
Barki Tajik score 1.5 and concede 1.5 goals per match over their last 15; Panjsher score 0.9 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Barki Tajik | 1.5 | 1.5 | 4 | 5/15 | 8/15 |
| Panjsher | 0.9 | 1.6 | 2 | 4/7 | 4/7 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Barki Tajik | 14 | 5 | 3 | 6 | 18 | 22 | 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